data
dict |
|---|
{
"issue": {
"id": "12OmNx4yvu1",
"title": "March",
"year": "1996",
"issueNum": "02",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "16",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUx0xPpl",
"doi": "10.1109/38.486678",
"abstract": "Describing a scene to a computer is an inherent task of computer graphics applications. Modeled scenes are typically built with direct placement techniques or specialized scripting languages. The scene description task could be greatly eased if natural language were an interactive control option. However, natural language understanding is notoriously difficult for computers. This difficulty is exacerbated in the case of computer graphics by the need for geometric output, not just \"conceptual understanding\" or high-level inferencing. General text-understanding techniques have not been successfully applied to scene generation. Typically, a few task-specific commands, such as \"walk,\" are implemented as an ad-hoc collection of procedures. Our approach aims to separate the expressive power of fundamental natural concepts from the difficult task of text understanding. We are developing a 3D object placement system based on a combination of natural commands and interactive techniques. Guided by research in cognitive linguistics, we use basic spatial relationships--such as in, on, and at--and fundamental scene parameters--such as viewer location and object dimensionality--to identify regions of placement for objects in a scene. These natural commands can be used to quickly prototype a complex scene and constrain object placement.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Describing a scene to a computer is an inherent task of computer graphics applications. Modeled scenes are typically built with direct placement techniques or specialized scripting languages. The scene description task could be greatly eased if natural language were an interactive control option. However, natural language understanding is notoriously difficult for computers. This difficulty is exacerbated in the case of computer graphics by the need for geometric output, not just \"conceptual understanding\" or high-level inferencing. General text-understanding techniques have not been successfully applied to scene generation. Typically, a few task-specific commands, such as \"walk,\" are implemented as an ad-hoc collection of procedures. Our approach aims to separate the expressive power of fundamental natural concepts from the difficult task of text understanding. We are developing a 3D object placement system based on a combination of natural commands and interactive techniques. Guided by research in cognitive linguistics, we use basic spatial relationships--such as in, on, and at--and fundamental scene parameters--such as viewer location and object dimensionality--to identify regions of placement for objects in a scene. These natural commands can be used to quickly prototype a complex scene and constrain object placement.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Describing a scene to a computer is an inherent task of computer graphics applications. Modeled scenes are typically built with direct placement techniques or specialized scripting languages. The scene description task could be greatly eased if natural language were an interactive control option. However, natural language understanding is notoriously difficult for computers. This difficulty is exacerbated in the case of computer graphics by the need for geometric output, not just \"conceptual understanding\" or high-level inferencing. General text-understanding techniques have not been successfully applied to scene generation. Typically, a few task-specific commands, such as \"walk,\" are implemented as an ad-hoc collection of procedures. Our approach aims to separate the expressive power of fundamental natural concepts from the difficult task of text understanding. We are developing a 3D object placement system based on a combination of natural commands and interactive techniques. Guided by research in cognitive linguistics, we use basic spatial relationships--such as in, on, and at--and fundamental scene parameters--such as viewer location and object dimensionality--to identify regions of placement for objects in a scene. These natural commands can be used to quickly prototype a complex scene and constrain object placement.",
"title": "Put: Language-Based Interactive Manipulation of Objects",
"normalizedTitle": "Put: Language-Based Interactive Manipulation of Objects",
"fno": "mcg1996020031",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Interactive 3 D Graphics",
"Linguistic Interfaces To Computers",
"Scene Building",
"Object Placement"
],
"authors": [
{
"givenName": "Sharon Rose",
"surname": "Clay",
"fullName": "Sharon Rose Clay",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jane",
"surname": "Wilhelms",
"fullName": "Jane Wilhelms",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "1996-03-01 00:00:00",
"pubType": "mags",
"pages": "31-39",
"year": "1996",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "mcg1996020022",
"articleId": "13rRUy2YM15",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg1996020040",
"articleId": "13rRUyuvRra",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNx8fieR",
"title": "March",
"year": "2012",
"issueNum": "03",
"idPrefix": "tg",
"pubType": "journal",
"volume": "18",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUILLkvn",
"doi": "10.1109/TVCG.2012.20",
"abstract": "The articles in this special section contain selected papers from the 2010 ACM Virtual Reality Software and Technology Symposium.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The articles in this special section contain selected papers from the 2010 ACM Virtual Reality Software and Technology Symposium.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The articles in this special section contain selected papers from the 2010 ACM Virtual Reality Software and Technology Symposium.",
"title": "Guest Editors' Introduction: Special Section on ACM VRST",
"normalizedTitle": "Guest Editors' Introduction: Special Section on ACM VRST",
"fno": "ttg2012030354",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Special Issues And Sections",
"Meetings",
"Virtual Reality",
"Software Engineering"
],
"authors": [
{
"givenName": "Taku",
"surname": "Komura",
"fullName": "Taku Komura",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Qunsheng",
"surname": "Peng",
"fullName": "Qunsheng Peng",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "George",
"surname": "Gaciu",
"fullName": "George Gaciu",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rynson W.H.",
"surname": "Lau",
"fullName": "Rynson W.H. Lau",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": false,
"showRecommendedArticles": true,
"isOpenAccess": true,
"issueNum": "03",
"pubDate": "2012-03-01 00:00:00",
"pubType": "trans",
"pages": "354-355",
"year": "2012",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "trans/tb/2013/05/ttb2013051089",
"title": "Guest Editorial for ACM BCB",
"doi": null,
"abstractUrl": "/journal/tb/2013/05/ttb2013051089/13rRUEgs2Af",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2013/04/ttb2013040817",
"title": "Guest Editorial for Special Section on BSB 2012",
"doi": null,
"abstractUrl": "/journal/tb/2013/04/ttb2013040817/13rRUIIVlaV",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/03/07835799",
"title": "Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA)",
"doi": null,
"abstractUrl": "/journal/tg/2017/03/07835799/13rRUIIVlkm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2013/06/ttb2013061345",
"title": "Guest Editors' introduction to the special section on bioinformatics research and applications",
"doi": null,
"abstractUrl": "/journal/tb/2013/06/ttb2013061345/13rRUILLku4",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/06/ttg2013060898",
"title": "Guest Editors' Introduction: Special Section on the IEEE Pacific Visualization Symposium 2012",
"doi": null,
"abstractUrl": "/journal/tg/2013/06/ttg2013060898/13rRUNvgziD",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/01/ttg2014010002",
"title": "Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA)",
"doi": null,
"abstractUrl": "/journal/tg/2014/01/ttg2014010002/13rRUwfZC0h",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2015/05/07067526",
"title": "Guest Editor's Introduction to the Special Section on the International Symposium on Mixed and Augmented Reality 2013",
"doi": null,
"abstractUrl": "/journal/tg/2015/05/07067526/13rRUwwaKta",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/05/ttg2013050721",
"title": "Guest Editors' Introduction: Special Section on the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D 2012)",
"doi": null,
"abstractUrl": "/journal/tg/2013/05/ttg2013050721/13rRUxBa5rV",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/10/06881790",
"title": "Guest Editors' Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA)",
"doi": null,
"abstractUrl": "/journal/tg/2014/10/06881790/13rRUy0HYRq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2019/04/08790957",
"title": "Guest Editors’ Introduction to the Special Section on Bioinformatics Research and Applications",
"doi": null,
"abstractUrl": "/journal/tb/2019/04/08790957/1ciKyaxfe3S",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg20120300c2",
"articleId": "13rRUxbTMyQ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2012030356",
"articleId": "13rRUxE04ty",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAZx8Ow",
"title": "June",
"year": "2015",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "21",
"label": "June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwI5TR1",
"doi": "10.1109/TVCG.2015.2422231",
"abstract": "The papers in this special section were presented at the ACM Symposium on Interactive 3D Graphics and Games (I3D) in 2014 that was held from March 14-16 in San Francisco, California. I3D focuses on real-time rendering, animation, and interaction techniques. Games are not the only application for these kinds of interactive methods, but are certainly a significant user of them. Consequently, the quality, time, space, stability, and predictability constraints faced by game development are an important factor in much of the work presented at I3D. ",
"abstracts": [
{
"abstractType": "Regular",
"content": "The papers in this special section were presented at the ACM Symposium on Interactive 3D Graphics and Games (I3D) in 2014 that was held from March 14-16 in San Francisco, California. I3D focuses on real-time rendering, animation, and interaction techniques. Games are not the only application for these kinds of interactive methods, but are certainly a significant user of them. Consequently, the quality, time, space, stability, and predictability constraints faced by game development are an important factor in much of the work presented at I3D. ",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The papers in this special section were presented at the ACM Symposium on Interactive 3D Graphics and Games (I3D) in 2014 that was held from March 14-16 in San Francisco, California. I3D focuses on real-time rendering, animation, and interaction techniques. Games are not the only application for these kinds of interactive methods, but are certainly a significant user of them. Consequently, the quality, time, space, stability, and predictability constraints faced by game development are an important factor in much of the work presented at I3D. ",
"title": "I3D 2014 Guest Editor’s Introduction",
"normalizedTitle": "I3D 2014 Guest Editor’s Introduction",
"fno": "07097769",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Special Issues And Sections",
"Games",
"Three Dimensional Displays",
"Interactive Systems",
"Meetings",
"Computer Graphics"
],
"authors": [
{
"givenName": "Marc",
"surname": "Olano",
"fullName": "Marc Olano",
"affiliation": "Computer Science and Electrical Engineering Department, University of Maryland, Baltimore County",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Miguel",
"surname": "Otaduy",
"fullName": "Miguel Otaduy",
"affiliation": "Department of Computer Science, Universidad Rey Jaun Carlos-Madrid",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": false,
"showRecommendedArticles": true,
"isOpenAccess": true,
"issueNum": "06",
"pubDate": "2015-06-01 00:00:00",
"pubType": "trans",
"pages": "686-687",
"year": "2015",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "mags/cs/2016/02/mcs2016020006",
"title": "Guest Editors' introduction",
"doi": null,
"abstractUrl": "/magazine/cs/2016/02/mcs2016020006/13rRUEgs2Q2",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/03/07835799",
"title": "Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA)",
"doi": null,
"abstractUrl": "/journal/tg/2017/03/07835799/13rRUIIVlkm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2015/08/07138667",
"title": "Guest Editors’ Introduction: Special Section on the IEEE Pacific Visualization Symposium 2014",
"doi": null,
"abstractUrl": "/journal/tg/2015/08/07138667/13rRUwI5Ugf",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/07/06748102",
"title": "Guest Editor' Introduction: Special Issue on the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2013",
"doi": null,
"abstractUrl": "/journal/tg/2014/07/06748102/13rRUwInvyy",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/10/07557101",
"title": "Guest Editor's Introduction to the Special Section on the ACM Symposium on Interactive 3D Graphics and Games (I3D)",
"doi": null,
"abstractUrl": "/journal/tg/2016/10/07557101/13rRUwbaqUQ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/10/ttg2012101589",
"title": "Guest Editors' Introduction: Special Section on the Symposium on Interactive 3D Graphics and Games (I3D)",
"doi": null,
"abstractUrl": "/journal/tg/2012/10/ttg2012101589/13rRUwdIOUI",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/05/ttg2013050721",
"title": "Guest Editors' Introduction: Special Section on the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D 2012)",
"doi": null,
"abstractUrl": "/journal/tg/2013/05/ttg2013050721/13rRUxBa5rV",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2016/07/07484393",
"title": "Guest Editorial: Special Section on CVPR 2014",
"doi": null,
"abstractUrl": "/journal/tp/2016/07/07484393/13rRUxDItis",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2018/02/08329161",
"title": "Guest Editorial for the 14th Asia Pacific Bioinformatics Conference",
"doi": null,
"abstractUrl": "/journal/tb/2018/02/08329161/13rRUzp02mT",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2019/07/08730465",
"title": "Guest Editors’ Introduction to the Special Section on the 33rd International Conference on Data Engineering (ICDE 2017)",
"doi": null,
"abstractUrl": "/journal/tk/2019/07/08730465/1aAwIcZNCHS",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": null,
"next": {
"fno": "07070744",
"articleId": "13rRUwdrdSB",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNqzu6X1",
"title": "November/December",
"year": "2017",
"issueNum": "06",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "37",
"label": "November/December",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUB6Sq4U",
"doi": "10.1109/MCG.2016.41",
"abstract": "Deferred warping is a novel approach for the real-time deformation of 3D objects attached to an animated or manipulated surface. The target application is virtual prototyping of garments, where 2D pattern modeling is combined with 3D garment simulation, allowing for an immediate validation of the proposed design.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deferred warping is a novel approach for the real-time deformation of 3D objects attached to an animated or manipulated surface. The target application is virtual prototyping of garments, where 2D pattern modeling is combined with 3D garment simulation, allowing for an immediate validation of the proposed design.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deferred warping is a novel approach for the real-time deformation of 3D objects attached to an animated or manipulated surface. The target application is virtual prototyping of garments, where 2D pattern modeling is combined with 3D garment simulation, allowing for an immediate validation of the proposed design.",
"title": "Deferred Warping",
"normalizedTitle": "Deferred Warping",
"fno": "mcg2017060076",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Computer Animation",
"Virtual Prototyping",
"3 D Garment Simulation",
"2 D Pattern Modeling",
"Virtual Prototyping",
"Animation",
"Manipulated Surface",
"3 D Objects",
"Real Time Deformation",
"Deferred Warping",
"Geometry",
"Clothing",
"Surface Treatment",
"Computational Modeling",
"Real Time Systems",
"Rendering Computer Graphics",
"Three Dimensional Displays",
"Computer Graphics",
"Real Time Deformation",
"Garment Modeling",
"Virtual Prototyping"
],
"authors": [
{
"givenName": "Martin",
"surname": "Knuth",
"fullName": "Martin Knuth",
"affiliation": "Fraunhofer IGD",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jan",
"surname": "Bender",
"fullName": "Jan Bender",
"affiliation": "RWTH Aachen University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Michael",
"surname": "Goesele",
"fullName": "Michael Goesele",
"affiliation": "TU Darmstadt",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Arjan",
"surname": "Kuijper",
"fullName": "Arjan Kuijper",
"affiliation": "Fraunhofer IGD and TU Darmstadt",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2017-11-01 00:00:00",
"pubType": "mags",
"pages": "76-87",
"year": "2017",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icmtma/2016/2312/0/2312a323",
"title": "Human 3D Garment Modeling Method Based on Surface Modeling Technology",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2016/2312a323/12OmNAoUTvY",
"parentPublication": {
"id": "proceedings/icmtma/2016/2312/0",
"title": "2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2014/4284/0/4284a299",
"title": "Semantic Segmentation and Labeling of 3D Garments",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2014/4284a299/12OmNzaQozi",
"parentPublication": {
"id": "proceedings/icdh/2014/4284/0",
"title": "2014 5th International Conference on Digital Home (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2021/3176/0/09667070",
"title": "UV-based reconstruction of 3D garments from a single RGB image",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2021/09667070/1A6BtIpyi88",
"parentPublication": {
"id": "proceedings/fg/2021/3176/0",
"title": "2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scset/2022/7876/0/787600a204",
"title": "Research on Improving Garment Fit through CLO 3D Modeling",
"doi": null,
"abstractUrl": "/proceedings-article/scset/2022/787600a204/1ANM2D8v5MA",
"parentPublication": {
"id": "proceedings/scset/2022/7876/0",
"title": "2022 International Seminar on Computer Science and Engineering Technology (SCSET)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200f451",
"title": "DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200f451/1BmHGfGgmic",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200d304",
"title": "GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200d304/1BmILRj6ydO",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dv/2022/5670/0/567000a022",
"title": "Garment Ideation: Iterative View-Aware Sketch-Based Garment Modeling",
"doi": null,
"abstractUrl": "/proceedings-article/3dv/2022/567000a022/1KYsti3axvq",
"parentPublication": {
"id": "proceedings/3dv/2022/5670/0",
"title": "2022 International Conference on 3D Vision (3DV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300f419",
"title": "Multi-Garment Net: Learning to Dress 3D People From Images",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300f419/1hVlwZpXtZK",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800h021",
"title": "Learning to Transfer Texture From Clothing Images to 3D Humans",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800h021/1m3odfHuXF6",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/09/09347725",
"title": "Wearable 3D Machine Knitting: Automatic Generation of Shaped Knit Sheets to Cover Real-World Objects",
"doi": null,
"abstractUrl": "/journal/tg/2022/09/09347725/1qWIIciXw76",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2017060065",
"articleId": "13rRUB6SpOd",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2017060088",
"articleId": "13rRUwfqpG7",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzvhvFS",
"title": "May",
"year": "2013",
"issueNum": "05",
"idPrefix": "tg",
"pubType": "journal",
"volume": "19",
"label": "May",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyp7tWW",
"doi": "10.1109/TVCG.2012.298",
"abstract": "Shading acquired materials with high-frequency illumination is computationally expensive. Estimating the shading integral requires multiple samples of the incident illumination. The number of samples required may vary across the image, and the image itself may have high- and low-frequency variations, depending on a combination of several factors. Adaptively distributing computational budget across the pixels for shading is a challenging problem. In this paper, we depict complex materials such as acquired reflectances, interactively, without any precomputation based on geometry. In each frame, we first estimate the frequencies in the local light field arriving at each pixel, as well as the variance of the shading integrand. Our frequency analysis accounts for combinations of a variety of factors: the reflectance of the object projecting to the pixel, the nature of the illumination, the local geometry and the camera position relative to the geometry and lighting. We then exploit this frequency information (bandwidth and variance) to adaptively sample for reconstruction and integration. For example, fewer pixels per unit area are shaded for pixels projecting onto diffuse objects, and fewer samples are used for integrating illumination incident on specular objects.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Shading acquired materials with high-frequency illumination is computationally expensive. Estimating the shading integral requires multiple samples of the incident illumination. The number of samples required may vary across the image, and the image itself may have high- and low-frequency variations, depending on a combination of several factors. Adaptively distributing computational budget across the pixels for shading is a challenging problem. In this paper, we depict complex materials such as acquired reflectances, interactively, without any precomputation based on geometry. In each frame, we first estimate the frequencies in the local light field arriving at each pixel, as well as the variance of the shading integrand. Our frequency analysis accounts for combinations of a variety of factors: the reflectance of the object projecting to the pixel, the nature of the illumination, the local geometry and the camera position relative to the geometry and lighting. We then exploit this frequency information (bandwidth and variance) to adaptively sample for reconstruction and integration. For example, fewer pixels per unit area are shaded for pixels projecting onto diffuse objects, and fewer samples are used for integrating illumination incident on specular objects.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Shading acquired materials with high-frequency illumination is computationally expensive. Estimating the shading integral requires multiple samples of the incident illumination. The number of samples required may vary across the image, and the image itself may have high- and low-frequency variations, depending on a combination of several factors. Adaptively distributing computational budget across the pixels for shading is a challenging problem. In this paper, we depict complex materials such as acquired reflectances, interactively, without any precomputation based on geometry. In each frame, we first estimate the frequencies in the local light field arriving at each pixel, as well as the variance of the shading integrand. Our frequency analysis accounts for combinations of a variety of factors: the reflectance of the object projecting to the pixel, the nature of the illumination, the local geometry and the camera position relative to the geometry and lighting. We then exploit this frequency information (bandwidth and variance) to adaptively sample for reconstruction and integration. For example, fewer pixels per unit area are shaded for pixels projecting onto diffuse objects, and fewer samples are used for integrating illumination incident on specular objects.",
"title": "Interactive Rendering of Acquired Materials on Dynamic Geometry Using Frequency Analysis",
"normalizedTitle": "Interactive Rendering of Acquired Materials on Dynamic Geometry Using Frequency Analysis",
"fno": "ttg2013050749",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Bandwidth",
"Lighting",
"Materials",
"Light Sources",
"Geometry",
"Rendering Computer Graphics",
"Convolution",
"Fourier Analysis",
"Computer Graphics",
"Rendering",
"Illumination Simulation",
"Measured Reflectance"
],
"authors": [
{
"givenName": "M. M.",
"surname": "Bagher",
"fullName": "M. M. Bagher",
"affiliation": "Dept. Inf. et de Rech. Operationelle, Univ. of Montreal, Montreal, QC, Canada",
"__typename": "ArticleAuthorType"
},
{
"givenName": "C.",
"surname": "Soler",
"fullName": "C. Soler",
"affiliation": "INRIA Rhone-Alpes, Montbonnot, France",
"__typename": "ArticleAuthorType"
},
{
"givenName": "K.",
"surname": "Subr",
"fullName": "K. Subr",
"affiliation": "Univ. Coll. London, London, UK",
"__typename": "ArticleAuthorType"
},
{
"givenName": "L.",
"surname": "Belcour",
"fullName": "L. Belcour",
"affiliation": "Inria Bordeaux - Sud-Ouest, Talence, France",
"__typename": "ArticleAuthorType"
},
{
"givenName": "N.",
"surname": "Holzschuch",
"fullName": "N. Holzschuch",
"affiliation": "INRIA Rhone-Alpes, Montbonnot, France",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "05",
"pubDate": "2013-05-01 00:00:00",
"pubType": "trans",
"pages": "749-761",
"year": "2013",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iccvw/2011/0063/0/06130334",
"title": "Illumination estimation from shadow borders",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2011/06130334/12OmNs4S8L5",
"parentPublication": {
"id": "proceedings/iccvw/2011/0063/0",
"title": "2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2017/2089/0/2089a056",
"title": "Voxel-Based Interactive Rendering of Translucent Materials under Area Lights Using Sparse Samples",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2017/2089a056/12OmNvDqsQf",
"parentPublication": {
"id": "proceedings/cw/2017/2089/0",
"title": "2017 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2014/5118/0/5118d922",
"title": "Exploiting Shading Cues in Kinect IR Images for Geometry Refinement",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2014/5118d922/12OmNvIxeXq",
"parentPublication": {
"id": "proceedings/cvpr/2014/5118/0",
"title": "2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2009/3992/0/05206614",
"title": "A projector-camera setup for geometry-invariant frequency demultiplexing",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2009/05206614/12OmNvoWV1H",
"parentPublication": {
"id": "proceedings/cvpr/2009/3992/0",
"title": "2009 IEEE Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icig/2013/5050/0/5050a913",
"title": "Cartoon Rendering Illumination Model Based on Phong",
"doi": null,
"abstractUrl": "/proceedings-article/icig/2013/5050a913/12OmNwoPtun",
"parentPublication": {
"id": "proceedings/icig/2013/5050/0",
"title": "2013 Seventh International Conference on Image and Graphics (ICIG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/searis/2014/9955/0/07152799",
"title": "guacamole - An extensible scene graph and rendering framework based on deferred shading",
"doi": null,
"abstractUrl": "/proceedings-article/searis/2014/07152799/12OmNzA6GLj",
"parentPublication": {
"id": "proceedings/searis/2014/9955/0",
"title": "2014 IEEE 7th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccp/2013/6463/0/06528300",
"title": "Descattering of transmissive observation using Parallel High-Frequency Illumination",
"doi": null,
"abstractUrl": "/proceedings-article/iccp/2013/06528300/12OmNzmclka",
"parentPublication": {
"id": "proceedings/iccp/2013/6463/0",
"title": "2013 IEEE International Conference on Computational Photography (ICCP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122946",
"title": "Lighting Design for Globally Illuminated Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122946/13rRUwvBy8U",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2013/02/ttp2013020437",
"title": "Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs",
"doi": null,
"abstractUrl": "/journal/tp/2013/02/ttp2013020437/13rRUyfKIEo",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09904431",
"title": "Neural Global Illumination: Interactive Indirect Illumination Prediction under Dynamic Area Lights",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09904431/1H0GdxnVnws",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2013050736",
"articleId": "13rRUxASuSM",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2013050762",
"articleId": "13rRUxOve9H",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzmclo6",
"title": "June",
"year": "2020",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "26",
"label": "June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "17D45VsBU70",
"doi": "10.1109/TVCG.2018.2883314",
"abstract": "This work proposes a new stereo shading architecture that enables adaptive shading rates and automatic shading reuse among triangles and between two views. The proposed pipeline presents several novel features. First, the present sort-middle/bin shading is extended to tile pair-based shading to rasterize and shade pixels at two views simultaneously. A new rasterization algorithm utilizing epipolar geometry is then proposed to schedule tile pairs and perform rasterization at stereo views efficiently. Second, this work presents an adaptive multi-rate shading framework to compute shading on pixels at different rates. A novel tile-based screen space cache and a new cache reuse shader are proposed to perform such multi-rate shading across triangles and views. The results show that the newly proposed method outperforms the standard sort-middle shading and the state-of-the-art multi-rate shading by achieving considerably lower shading cost and memory bandwidth.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This work proposes a new stereo shading architecture that enables adaptive shading rates and automatic shading reuse among triangles and between two views. The proposed pipeline presents several novel features. First, the present sort-middle/bin shading is extended to tile pair-based shading to rasterize and shade pixels at two views simultaneously. A new rasterization algorithm utilizing epipolar geometry is then proposed to schedule tile pairs and perform rasterization at stereo views efficiently. Second, this work presents an adaptive multi-rate shading framework to compute shading on pixels at different rates. A novel tile-based screen space cache and a new cache reuse shader are proposed to perform such multi-rate shading across triangles and views. The results show that the newly proposed method outperforms the standard sort-middle shading and the state-of-the-art multi-rate shading by achieving considerably lower shading cost and memory bandwidth.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This work proposes a new stereo shading architecture that enables adaptive shading rates and automatic shading reuse among triangles and between two views. The proposed pipeline presents several novel features. First, the present sort-middle/bin shading is extended to tile pair-based shading to rasterize and shade pixels at two views simultaneously. A new rasterization algorithm utilizing epipolar geometry is then proposed to schedule tile pairs and perform rasterization at stereo views efficiently. Second, this work presents an adaptive multi-rate shading framework to compute shading on pixels at different rates. A novel tile-based screen space cache and a new cache reuse shader are proposed to perform such multi-rate shading across triangles and views. The results show that the newly proposed method outperforms the standard sort-middle shading and the state-of-the-art multi-rate shading by achieving considerably lower shading cost and memory bandwidth.",
"title": "Tile Pair-Based Adaptive Multi-Rate Stereo Shading",
"normalizedTitle": "Tile Pair-Based Adaptive Multi-Rate Stereo Shading",
"fno": "08543848",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Computational Geometry",
"Pipeline Processing",
"Rendering Computer Graphics",
"Sorting",
"Stereo Image Processing",
"Shading Cost",
"Tile Pair Based Adaptive Multirate Stereo Shading",
"Memory Bandwidth",
"Standard Sort Middle Shading",
"Tile Based Screen Space Cache",
"Stereo Views",
"Tile Pairs",
"Rasterization Algorithm",
"Automatic Shading Reuse",
"Adaptive Shading Rates",
"Stereo Shading Architecture",
"Rendering Computer Graphics",
"Geometry",
"Pipelines",
"Bandwidth",
"Computer Architecture",
"Signal Resolution",
"Stereo Rendering",
"Tile Pair Based Rendering",
"Multi Rate Shading"
],
"authors": [
{
"givenName": "Yazhen",
"surname": "Yuan",
"fullName": "Yazhen Yuan",
"affiliation": "State key laboratory of CAD&CG, Zhejiang University, Hangzhou, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rui",
"surname": "Wang",
"fullName": "Rui Wang",
"affiliation": "State key laboratory of CAD&CG, Zhejiang University, Hangzhou, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Hujun",
"surname": "Bao",
"fullName": "Hujun Bao",
"affiliation": "State key laboratory of CAD&CG, Zhejiang University, Hangzhou, China",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2020-06-01 00:00:00",
"pubType": "trans",
"pages": "2303-2314",
"year": "2020",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/hcs/2015/8885/0/07477462",
"title": "The ARM® Mali-T880 Mobile GPU",
"doi": null,
"abstractUrl": "/proceedings-article/hcs/2015/07477462/12OmNAS9zPX",
"parentPublication": {
"id": "proceedings/hcs/2015/8885/0",
"title": "2015 IEEE Hot Chips 27 Symposium (HCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pvg/2001/7223/0/72230085",
"title": "Sort-Last Parallel Rendering for Viewing Extremely Large Data Sets on Tile Displays",
"doi": null,
"abstractUrl": "/proceedings-article/pvg/2001/72230085/12OmNvq5jzS",
"parentPublication": {
"id": "proceedings/pvg/2001/7223/0",
"title": "Parallel and Large-Data Visualization and Graphics, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgi/1996/7518/0/75180038",
"title": "Improved Specular Highlights With Adaptive Shading",
"doi": null,
"abstractUrl": "/proceedings-article/cgi/1996/75180038/12OmNwBT1ig",
"parentPublication": {
"id": "proceedings/cgi/1996/7518/0",
"title": "Computer Graphics International Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2015/8391/0/8391c030",
"title": "Registering Images to Untextured Geometry Using Average Shading Gradients",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2015/8391c030/12OmNyLiuzk",
"parentPublication": {
"id": "proceedings/iccv/2015/8391/0",
"title": "2015 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/searis/2014/9955/0/07152799",
"title": "guacamole - An extensible scene graph and rendering framework based on deferred shading",
"doi": null,
"abstractUrl": "/proceedings-article/searis/2014/07152799/12OmNzA6GLj",
"parentPublication": {
"id": "proceedings/searis/2014/9955/0",
"title": "2014 IEEE 7th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07194844",
"title": "Anisotropic Ambient Volume Shading",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07194844/13rRUB7a1fT",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2017/03/07452621",
"title": "Shape Estimation from Shading, Defocus, and Correspondence Using Light-Field Angular Coherence",
"doi": null,
"abstractUrl": "/journal/tp/2017/03/07452621/13rRUxYIN5A",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/10/07501796",
"title": "Aggregate G-Buffer Anti-Aliasing -Extended Version-",
"doi": null,
"abstractUrl": "/journal/tg/2016/10/07501796/13rRUyv53Fw",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpca/2019/1444/0/144400a623",
"title": "Rendering Elimination: Early Discard of Redundant Tiles in the Graphics Pipeline",
"doi": null,
"abstractUrl": "/proceedings-article/hpca/2019/144400a623/18M7PSwaQkE",
"parentPublication": {
"id": "proceedings/hpca/2019/1444/0",
"title": "2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600g177",
"title": "Multi-View Mesh Reconstruction with Neural Deferred Shading",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600g177/1H0NScvhUC4",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08554186",
"articleId": "17D45WIXbPb",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08580399",
"articleId": "17D45VUZMU0",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1js2HXZuFJS",
"name": "ttg202006-08543848s1-supplemental_video.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202006-08543848s1-supplemental_video.mp4",
"extension": "mp4",
"size": "96.1 MB",
"__typename": "WebExtraType"
},
{
"id": "1js2MuR0GjK",
"name": "ttg202006-08543848s1-supplemental_document.pdf",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202006-08543848s1-supplemental_document.pdf",
"extension": "pdf",
"size": "52.1 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxA3Z0G",
"title": "Feb.",
"year": "2019",
"issueNum": "02",
"idPrefix": "td",
"pubType": "journal",
"volume": "30",
"label": "Feb.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "17D45W1Oa5j",
"doi": "10.1109/TPDS.2018.2866246",
"abstract": "During real-time graphics rendering, objects are processed by the GPU in the order they are submitted by the CPU, and occluded surfaces are often processed even though they will end up not being part of the final image, thus wasting precious time and energy. To help discard occluded surfaces, most current GPUs include an Early-Depth test before the fragment processing stage. However, to be effective it requires that opaque objects are processed in a front-to-back order. Depth sorting and other occlusion culling techniques at the object level incur overheads that are only offset for applications having substantial depth and/or fragment shading complexity, which is often not the case in mobile workloads. We propose a novel architectural technique for GPUs, Visibility Rendering Order (VRO), which reorders objects front-to-back entirely in hardware by exploiting the fact that the objects in graphics animated applications tend to keep its relative depth order across consecutive frames (temporal coherence). Since order relationships are already tested by the Depth Test, VRO incurs minimal energy overheads because it just requires adding a small hardware to capture that information and use it later to guide the rendering of the following frame. Moreover, unlike other approaches, this unit works in parallel with the graphics pipeline without any performance overhead. We illustrate the benefits of VRO using various unmodified commercial 3D applications for which VRO achieves 27 percent speed-up and 15.8 percent energy reduction on average over a state-of-the-art mobile GPU.",
"abstracts": [
{
"abstractType": "Regular",
"content": "During real-time graphics rendering, objects are processed by the GPU in the order they are submitted by the CPU, and occluded surfaces are often processed even though they will end up not being part of the final image, thus wasting precious time and energy. To help discard occluded surfaces, most current GPUs include an Early-Depth test before the fragment processing stage. However, to be effective it requires that opaque objects are processed in a front-to-back order. Depth sorting and other occlusion culling techniques at the object level incur overheads that are only offset for applications having substantial depth and/or fragment shading complexity, which is often not the case in mobile workloads. We propose a novel architectural technique for GPUs, Visibility Rendering Order (VRO), which reorders objects front-to-back entirely in hardware by exploiting the fact that the objects in graphics animated applications tend to keep its relative depth order across consecutive frames (temporal coherence). Since order relationships are already tested by the Depth Test, VRO incurs minimal energy overheads because it just requires adding a small hardware to capture that information and use it later to guide the rendering of the following frame. Moreover, unlike other approaches, this unit works in parallel with the graphics pipeline without any performance overhead. We illustrate the benefits of VRO using various unmodified commercial 3D applications for which VRO achieves 27 percent speed-up and 15.8 percent energy reduction on average over a state-of-the-art mobile GPU.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "During real-time graphics rendering, objects are processed by the GPU in the order they are submitted by the CPU, and occluded surfaces are often processed even though they will end up not being part of the final image, thus wasting precious time and energy. To help discard occluded surfaces, most current GPUs include an Early-Depth test before the fragment processing stage. However, to be effective it requires that opaque objects are processed in a front-to-back order. Depth sorting and other occlusion culling techniques at the object level incur overheads that are only offset for applications having substantial depth and/or fragment shading complexity, which is often not the case in mobile workloads. We propose a novel architectural technique for GPUs, Visibility Rendering Order (VRO), which reorders objects front-to-back entirely in hardware by exploiting the fact that the objects in graphics animated applications tend to keep its relative depth order across consecutive frames (temporal coherence). Since order relationships are already tested by the Depth Test, VRO incurs minimal energy overheads because it just requires adding a small hardware to capture that information and use it later to guide the rendering of the following frame. Moreover, unlike other approaches, this unit works in parallel with the graphics pipeline without any performance overhead. We illustrate the benefits of VRO using various unmodified commercial 3D applications for which VRO achieves 27 percent speed-up and 15.8 percent energy reduction on average over a state-of-the-art mobile GPU.",
"title": "Visibility Rendering Order: Improving Energy Efficiency on Mobile GPUs through Frame Coherence",
"normalizedTitle": "Visibility Rendering Order: Improving Energy Efficiency on Mobile GPUs through Frame Coherence",
"fno": "08440753",
"hasPdf": true,
"idPrefix": "td",
"keywords": [
"Graphics Processing Units",
"Rendering Computer Graphics",
"Pipelines",
"Geometry",
"Hardware",
"Image Color Analysis",
"Color",
"GPU",
"Graphics Pipeline",
"Energy Efficiency",
"Rasterization",
"Rendering",
"Fragment Processing",
"Pixel Shading",
"Occlusion Culling",
"Visibility",
"Tile Based Deferred Rendering",
"Tile Based Rendering",
"Topological Order"
],
"authors": [
{
"givenName": "Enrique",
"surname": "de Lucas",
"fullName": "Enrique de Lucas",
"affiliation": "Department of Computer Architecture, Polytechnic University of Catalonia (UPC), Barcelona, Spain",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Pedro",
"surname": "Marcuello",
"fullName": "Pedro Marcuello",
"affiliation": "Department of Computer Architecture, Polytechnic University of Catalonia (UPC), Barcelona, Spain",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Joan-Manuel",
"surname": "Parcerisa",
"fullName": "Joan-Manuel Parcerisa",
"affiliation": "Department of Computer Architecture, Polytechnic University of Catalonia (UPC), Barcelona, Spain",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Antonio",
"surname": "González",
"fullName": "Antonio González",
"affiliation": "Department of Computer Architecture, Polytechnic University of Catalonia (UPC), Barcelona, Spain",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2019-02-01 00:00:00",
"pubType": "trans",
"pages": "473-485",
"year": "2019",
"issn": "1045-9219",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/pvgs/2003/8122/0/01249035",
"title": "Visibility-based prefetching for interactive out-of-core rendering",
"doi": null,
"abstractUrl": "/proceedings-article/pvgs/2003/01249035/12OmNAHEpD8",
"parentPublication": {
"id": "proceedings/pvgs/2003/8122/0",
"title": "IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cluster/2009/5011/0/05289203",
"title": "Two-phase load distribution for rendering large 3D models on a graphics cluster",
"doi": null,
"abstractUrl": "/proceedings-article/cluster/2009/05289203/12OmNqJ8tqp",
"parentPublication": {
"id": "proceedings/cluster/2009/5011/0",
"title": "2009 IEEE International Conference on Cluster Computing and Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sibgrapi/2010/8420/0/05720359",
"title": "Texture-Based Wireframe Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/sibgrapi/2010/05720359/12OmNwCaCvX",
"parentPublication": {
"id": "proceedings/sibgrapi/2010/8420/0",
"title": "2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2008/1971/0/04480770",
"title": "Advanced Multi-Frame Rate Rendering Techniques",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2008/04480770/12OmNzd7bE6",
"parentPublication": {
"id": "proceedings/vr/2008/1971/0",
"title": "IEEE Virtual Reality 2008",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/svr/2013/5001/0/06655770",
"title": "Integrated Pipeline for Natural Interaction with Photorealistic Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/svr/2013/06655770/12OmNzvhvMX",
"parentPublication": {
"id": "proceedings/svr/2013/5001/0",
"title": "2013 XV Symposium on Virtual and Augmented Reality (SVR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1590",
"title": "Sample-Based Cameras for Feed Forward Reflection Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1590/13rRUxjQyp5",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpca/2019/1444/0/144400a635",
"title": "Early Visibility Resolution for Removing Ineffectual Computations in the Graphics Pipeline",
"doi": null,
"abstractUrl": "/proceedings-article/hpca/2019/144400a635/18M7PCu7AOI",
"parentPublication": {
"id": "proceedings/hpca/2019/1444/0",
"title": "2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpca/2019/1444/0/144400a623",
"title": "Rendering Elimination: Early Discard of Redundant Tiles in the Graphics Pipeline",
"doi": null,
"abstractUrl": "/proceedings-article/hpca/2019/144400a623/18M7PSwaQkE",
"parentPublication": {
"id": "proceedings/hpca/2019/1444/0",
"title": "2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hcs/2022/6028/0/09895607",
"title": "Accelerating Graphic Rendering on Programmable RISC-V GPUs",
"doi": null,
"abstractUrl": "/proceedings-article/hcs/2022/09895607/1GZiJcJFUk0",
"parentPublication": {
"id": "proceedings/hcs/2022/6028/0",
"title": "2022 IEEE Hot Chips 34 Symposium (HCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pvg/2003/2091/0/01249035",
"title": "Visibility-based prefetching for interactive out-of-core rendering",
"doi": null,
"abstractUrl": "/proceedings-article/pvg/2003/01249035/1h0S13AbcoU",
"parentPublication": {
"id": "proceedings/pvg/2003/2091/0",
"title": "Parallel and Large-Data Visualization and Graphics, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08423653",
"articleId": "17D45WUj904",
"__typename": "AdjacentArticleType"
},
"next": null,
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "1uR9KQn3cNq",
"title": "Aug.",
"year": "2021",
"issueNum": "08",
"idPrefix": "tg",
"pubType": "journal",
"volume": "27",
"label": "Aug.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1sXjFab9xYc",
"doi": "10.1109/TVCG.2021.3074607",
"abstract": "The visual inspection of a hexahedral mesh with respect to element quality is difficult due to clutter and occlusions that are produced when rendering all element faces or their edges simultaneously. Current approaches overcome this problem by using focus on specific elements that are then rendered opaque, and carving away all elements occluding their view. In this work, we make use of advanced GPU shader functionality to generate a focus+context rendering that highlights the elements in a selected region and simultaneously conveys the global mesh structure and deformation field. To achieve this, we propose a gradual transition from edge-based focus rendering to volumetric context rendering, by combining fragment shader-based edge and face rendering with per-pixel fragment lists. A fragment shader smoothly transitions between wireframe and face-based rendering, including focus-dependent rendering style and depth-dependent edge thickness and halos, and per-pixel fragment lists are used to blend fragments in correct visibility order. To maintain the global mesh structure in the context regions, we propose a new method to construct a sheet-based level-of-detail hierarchy and smoothly blend it with volumetric information. The user guides the exploration process by moving a lens-like hotspot. Since all operations are performed on the GPU, interactive frame rates are achieved even for large meshes.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The visual inspection of a hexahedral mesh with respect to element quality is difficult due to clutter and occlusions that are produced when rendering all element faces or their edges simultaneously. Current approaches overcome this problem by using focus on specific elements that are then rendered opaque, and carving away all elements occluding their view. In this work, we make use of advanced GPU shader functionality to generate a focus+context rendering that highlights the elements in a selected region and simultaneously conveys the global mesh structure and deformation field. To achieve this, we propose a gradual transition from edge-based focus rendering to volumetric context rendering, by combining fragment shader-based edge and face rendering with per-pixel fragment lists. A fragment shader smoothly transitions between wireframe and face-based rendering, including focus-dependent rendering style and depth-dependent edge thickness and halos, and per-pixel fragment lists are used to blend fragments in correct visibility order. To maintain the global mesh structure in the context regions, we propose a new method to construct a sheet-based level-of-detail hierarchy and smoothly blend it with volumetric information. The user guides the exploration process by moving a lens-like hotspot. Since all operations are performed on the GPU, interactive frame rates are achieved even for large meshes.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The visual inspection of a hexahedral mesh with respect to element quality is difficult due to clutter and occlusions that are produced when rendering all element faces or their edges simultaneously. Current approaches overcome this problem by using focus on specific elements that are then rendered opaque, and carving away all elements occluding their view. In this work, we make use of advanced GPU shader functionality to generate a focus+context rendering that highlights the elements in a selected region and simultaneously conveys the global mesh structure and deformation field. To achieve this, we propose a gradual transition from edge-based focus rendering to volumetric context rendering, by combining fragment shader-based edge and face rendering with per-pixel fragment lists. A fragment shader smoothly transitions between wireframe and face-based rendering, including focus-dependent rendering style and depth-dependent edge thickness and halos, and per-pixel fragment lists are used to blend fragments in correct visibility order. To maintain the global mesh structure in the context regions, we propose a new method to construct a sheet-based level-of-detail hierarchy and smoothly blend it with volumetric information. The user guides the exploration process by moving a lens-like hotspot. Since all operations are performed on the GPU, interactive frame rates are achieved even for large meshes.",
"title": "Interactive Focus+Context Rendering for Hexahedral Mesh Inspection",
"normalizedTitle": "Interactive Focus+Context Rendering for Hexahedral Mesh Inspection",
"fno": "09409710",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Computational Geometry",
"Data Visualisation",
"Interactive Systems",
"Mesh Generation",
"Rendering Computer Graphics",
"Visualization Techniques",
"GPU Shader Functionality",
"Edge Based Focus Rendering",
"Fragment Shader Based Edge Rendering",
"Focus Dependent Rendering",
"Context Rendering",
"Sheet Based Level Of Detail Hierarchy",
"Depth Dependent Edge Thickness",
"Face Rendering",
"Volumetric Context Rendering",
"Hexahedral Mesh Inspection",
"Interactive Focus",
"Mesh Structure",
"Rendering Computer Graphics",
"Strain",
"Visualization",
"Faces",
"Graphics Processing Units",
"Inspection",
"Sorting",
"Visualization Of Hex Meshes",
"Real Time Rendering",
"GP Us"
],
"authors": [
{
"givenName": "Christoph",
"surname": "Neuhauser",
"fullName": "Christoph Neuhauser",
"affiliation": "Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Junpeng",
"surname": "Wang",
"fullName": "Junpeng Wang",
"affiliation": "Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rüdiger",
"surname": "Westermann",
"fullName": "Rüdiger Westermann",
"affiliation": "Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": {
"isEnabled": true,
"codeDownloadUrl": "https://github.com/chrismile/HexVolumeRenderer.git",
"codeRepositoryUrl": "https://github.com/chrismile/HexVolumeRenderer",
"__typename": "ArticleReplicabilityType"
},
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "08",
"pubDate": "2021-08-01 00:00:00",
"pubType": "trans",
"pages": "3505-3518",
"year": "2021",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ipdps/2002/1573/0/01015468",
"title": "Compression-domain parallel rendering",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2002/01015468/12OmNAQJzPX",
"parentPublication": {
"id": "proceedings/ipdps/2002/1573/1",
"title": "Parallel and Distributed Processing Symposium, International",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hcs/2015/8885/0/07477462",
"title": "The ARM® Mali-T880 Mobile GPU",
"doi": null,
"abstractUrl": "/proceedings-article/hcs/2015/07477462/12OmNAS9zPX",
"parentPublication": {
"id": "proceedings/hcs/2015/8885/0",
"title": "2015 IEEE Hot Chips 27 Symposium (HCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smi/2006/2591/0/25910010",
"title": "Hardware Rendering of 3D Geometry with Elevation Maps",
"doi": null,
"abstractUrl": "/proceedings-article/smi/2006/25910010/12OmNB06l8R",
"parentPublication": {
"id": "proceedings/smi/2006/2591/0",
"title": "IEEE International Conference on Shape Modeling and Applications 2006",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2008/1971/0/04480772",
"title": "New Rendering Approach for Composable Volumetric Lenses",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2008/04480772/12OmNBAqZId",
"parentPublication": {
"id": "proceedings/vr/2008/1971/0",
"title": "IEEE Virtual Reality 2008",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2016/4400/0/4400a267",
"title": "A Mesh Reconstruction Method Based on View Maps",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2016/4400a267/12OmNBoNrqY",
"parentPublication": {
"id": "proceedings/icdh/2016/4400/0",
"title": "2016 6th International Conference on Digital Home (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cluster/2009/5011/0/05289203",
"title": "Two-phase load distribution for rendering large 3D models on a graphics cluster",
"doi": null,
"abstractUrl": "/proceedings-article/cluster/2009/05289203/12OmNqJ8tqp",
"parentPublication": {
"id": "proceedings/cluster/2009/5011/0",
"title": "2009 IEEE International Conference on Cluster Computing and Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cad-graphics/2013/2576/0/06815015",
"title": "Interactive Rendering for Large-Scale Mesh Based on MapReduce",
"doi": null,
"abstractUrl": "/proceedings-article/cad-graphics/2013/06815015/12OmNrIJqxj",
"parentPublication": {
"id": "proceedings/cad-graphics/2013/2576/0",
"title": "2013 International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009061587",
"title": "GL4D: A GPU-based Architecture for Interactive 4D Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009061587/13rRUwjoNwY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2005/03/v0285",
"title": "Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2005/03/v0285/13rRUxOdD89",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09815871",
"title": "Automatic Mesh and Shader Level of Detail",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09815871/1EMV6Kftb2g",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09007694",
"articleId": "1hGqyjdULW8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09023002",
"articleId": "1hTHRTEQgRG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1uR9MB20PWE",
"name": "ttg202108-09409710s1-supp1-3074607.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202108-09409710s1-supp1-3074607.mp4",
"extension": "mp4",
"size": "339 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzmclVD",
"title": "Oct.",
"year": "2016",
"issueNum": "10",
"idPrefix": "tg",
"pubType": "journal",
"volume": "22",
"label": "Oct.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUx0xPid",
"doi": "10.1109/TVCG.2016.2572689",
"abstract": "We further describe and analyze a real-time system for rendering antialiased hard shadows using irregular z-buffers (IZBs) that we first presented in Wyman et al. [1] . We focus on identifying bottlenecks, exploring these from an algorithmic complexity standpoint, and presenting techniques to improve performance. Our system remains interactive on a variety of game assets and CAD models while running at resolutions Z_$1,920\\times 1,080$_Z and above and imposes no constraints on light, camera or geometry, allowing fully dynamic scenes without precomputation. We render sub-pixel accurate, 32 sample per pixel hard shadows at roughly twice the cost of a single sample per pixel. This allows us to smoothly animate even subpixel shadows from grass or wires without introducing spatial or temporal aliasing. Prior algorithms for irregular z-buffer shadows rely heavily on the GPU’s compute pipeline. Instead we leverage the standard rasterization-based graphics pipeline, including hardware conservative raster and early-z culling. Our key observation is noting a duality between irregular z-buffer performance and shadow map quality; irregular z-buffering is most costly exactly where shadow maps exhibit the worst aliasing. This allows us to use common shadow map algorithms, which typically improve aliasing, to instead reduce our cost. Compared to state of the art ray tracers, we spawn similar numbers of triangle intersections per pixel yet completely rebuild our data structure in under 1 ms per frame.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We further describe and analyze a real-time system for rendering antialiased hard shadows using irregular z-buffers (IZBs) that we first presented in Wyman et al. [1] . We focus on identifying bottlenecks, exploring these from an algorithmic complexity standpoint, and presenting techniques to improve performance. Our system remains interactive on a variety of game assets and CAD models while running at resolutions $1,920\\times 1,080$ and above and imposes no constraints on light, camera or geometry, allowing fully dynamic scenes without precomputation. We render sub-pixel accurate, 32 sample per pixel hard shadows at roughly twice the cost of a single sample per pixel. This allows us to smoothly animate even subpixel shadows from grass or wires without introducing spatial or temporal aliasing. Prior algorithms for irregular z-buffer shadows rely heavily on the GPU’s compute pipeline. Instead we leverage the standard rasterization-based graphics pipeline, including hardware conservative raster and early-z culling. Our key observation is noting a duality between irregular z-buffer performance and shadow map quality; irregular z-buffering is most costly exactly where shadow maps exhibit the worst aliasing. This allows us to use common shadow map algorithms, which typically improve aliasing, to instead reduce our cost. Compared to state of the art ray tracers, we spawn similar numbers of triangle intersections per pixel yet completely rebuild our data structure in under 1 ms per frame.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We further describe and analyze a real-time system for rendering antialiased hard shadows using irregular z-buffers (IZBs) that we first presented in Wyman et al. [1] . We focus on identifying bottlenecks, exploring these from an algorithmic complexity standpoint, and presenting techniques to improve performance. Our system remains interactive on a variety of game assets and CAD models while running at resolutions - and above and imposes no constraints on light, camera or geometry, allowing fully dynamic scenes without precomputation. We render sub-pixel accurate, 32 sample per pixel hard shadows at roughly twice the cost of a single sample per pixel. This allows us to smoothly animate even subpixel shadows from grass or wires without introducing spatial or temporal aliasing. Prior algorithms for irregular z-buffer shadows rely heavily on the GPU’s compute pipeline. Instead we leverage the standard rasterization-based graphics pipeline, including hardware conservative raster and early-z culling. Our key observation is noting a duality between irregular z-buffer performance and shadow map quality; irregular z-buffering is most costly exactly where shadow maps exhibit the worst aliasing. This allows us to use common shadow map algorithms, which typically improve aliasing, to instead reduce our cost. Compared to state of the art ray tracers, we spawn similar numbers of triangle intersections per pixel yet completely rebuild our data structure in under 1 ms per frame.",
"title": "Frustum-Traced Irregular Z-Buffers: Fast, Sub-Pixel Accurate Hard Shadows",
"normalizedTitle": "Frustum-Traced Irregular Z-Buffers: Fast, Sub-Pixel Accurate Hard Shadows",
"fno": "07478644",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Pipelines",
"Graphics Processing Units",
"Shadow Mapping",
"Games",
"Geometry",
"Hardware",
"Rasterization",
"Shadows",
"Irregular Z Buffer",
"Cascades",
"Frustum Tracing",
"Alias Free Shadows"
],
"authors": [
{
"givenName": "Chris",
"surname": "Wyman",
"fullName": "Chris Wyman",
"affiliation": "NVIDIA Corporation in Redmond, WA, and Santa Clara, CA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rama",
"surname": "Hoetzlein",
"fullName": "Rama Hoetzlein",
"affiliation": "NVIDIA Corporation in Redmond, WA, and Santa Clara, CA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Aaron",
"surname": "Lefohn",
"fullName": "Aaron Lefohn",
"affiliation": "NVIDIA Corporation in Redmond, WA, and Santa Clara, CA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "10",
"pubDate": "2016-10-01 00:00:00",
"pubType": "trans",
"pages": "2249-2261",
"year": "2016",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iwcse/2009/3881/1/3881a488",
"title": "A Survey of Shadow Rendering Algorithms: Projection Shadows and Shadow Volumes",
"doi": null,
"abstractUrl": "/proceedings-article/iwcse/2009/3881a488/12OmNBUAvYS",
"parentPublication": {
"id": "proceedings/iwcse/2009/3881/1",
"title": "Computer Science and Engineering, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2013/2246/0/2246a124",
"title": "Screen Space Anisotropic Blurred Soft Shadows by Efficient Separable Filtering Method",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2013/2246a124/12OmNwdtwco",
"parentPublication": {
"id": "proceedings/cw/2013/2246/0",
"title": "2013 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cad-graphics/2013/2576/0/06814990",
"title": "Multi-resolution Shadow Mapping Using CUDA Rasterizer",
"doi": null,
"abstractUrl": "/proceedings-article/cad-graphics/2013/06814990/12OmNwlHSVn",
"parentPublication": {
"id": "proceedings/cad-graphics/2013/2576/0",
"title": "2013 International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgi/1999/0185/0/01850166",
"title": "Rendering Optimal Solar Shadows Using Plural Sunlight Depth Buffers",
"doi": null,
"abstractUrl": "/proceedings-article/cgi/1999/01850166/12OmNwoPttC",
"parentPublication": {
"id": "proceedings/cgi/1999/0185/0",
"title": "Computer Graphics International Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sibgrapi/2017/2219/0/2219a238",
"title": "Euclidean Distance Transform Soft Shadow Mapping",
"doi": null,
"abstractUrl": "/proceedings-article/sibgrapi/2017/2219a238/12OmNxw5BsX",
"parentPublication": {
"id": "proceedings/sibgrapi/2017/2219/0",
"title": "2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/1995/7042/0/70420203",
"title": "Combining color and geometry for the active, visual recognition of shadows",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/1995/70420203/12OmNyaXPVi",
"parentPublication": {
"id": "proceedings/iccv/1995/7042/0",
"title": "Computer Vision, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wiamis/2008/3130/0/3130a059",
"title": "Autonomous and Adaptive Learning of Shadows for Surveillance",
"doi": null,
"abstractUrl": "/proceedings-article/wiamis/2008/3130a059/12OmNzayNG9",
"parentPublication": {
"id": "proceedings/wiamis/2008/3130/0",
"title": "Image Analysis for Multimedia Interactive Services, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgi/2001/1007/0/10070193",
"title": "Using A-Buffer in Radiosity",
"doi": null,
"abstractUrl": "/proceedings-article/cgi/2001/10070193/12OmNzxPTHC",
"parentPublication": {
"id": "proceedings/cgi/2001/1007/0",
"title": "Proceedings. Computer Graphics International 2001",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0/661400b116",
"title": "Accurate Shadow Generation Analysis in Computer Graphics",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-smartcity-dss/2018/661400b116/183rAd01nZ8",
"parentPublication": {
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0",
"title": "2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900q6392",
"title": "No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900q6392/1yeIUDrZL9K",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07429785",
"articleId": "13rRUyfbwqN",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07374736",
"articleId": "13rRUIJcWlr",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxeutf3",
"title": "Jan.",
"year": "2013",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "19",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyYSWsT",
"doi": "10.1109/TVCG.2012.91",
"abstract": "We introduce a lighting system that enhances the visual cues in a rendered image for the perception of 3D volumetric objects. We divide the lighting effects into global and local effects, and deploy three types of directional lights: the key light and accessory lights (fill and detail lights). The key light provides both lighting effects and carries the visual cues for the perception of local and global shapes and depth. The cues for local shapes are conveyed by gradient; those for global shapes are carried by shadows; and those for depth are provided by shadows and translucent objects. Fill lights produce global effects to increase the perceptibility. Detail lights generate local effects to improve the cues for local shapes. Our method quantifies the perception and uses an exhaustive search to set the lights. It configures accessory lights with the consideration of preserving the global impression conveyed by the key light. It ensures the feeling of smooth light movements in animations. With simplification, it achieves interactive frame rates and produces results that are visually indistinguishable from results using the nonsimplified algorithm. The major contributions of this paper are our lighting system, perception measurement and lighting design algorithm with our indistinguishable simplification.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We introduce a lighting system that enhances the visual cues in a rendered image for the perception of 3D volumetric objects. We divide the lighting effects into global and local effects, and deploy three types of directional lights: the key light and accessory lights (fill and detail lights). The key light provides both lighting effects and carries the visual cues for the perception of local and global shapes and depth. The cues for local shapes are conveyed by gradient; those for global shapes are carried by shadows; and those for depth are provided by shadows and translucent objects. Fill lights produce global effects to increase the perceptibility. Detail lights generate local effects to improve the cues for local shapes. Our method quantifies the perception and uses an exhaustive search to set the lights. It configures accessory lights with the consideration of preserving the global impression conveyed by the key light. It ensures the feeling of smooth light movements in animations. With simplification, it achieves interactive frame rates and produces results that are visually indistinguishable from results using the nonsimplified algorithm. The major contributions of this paper are our lighting system, perception measurement and lighting design algorithm with our indistinguishable simplification.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We introduce a lighting system that enhances the visual cues in a rendered image for the perception of 3D volumetric objects. We divide the lighting effects into global and local effects, and deploy three types of directional lights: the key light and accessory lights (fill and detail lights). The key light provides both lighting effects and carries the visual cues for the perception of local and global shapes and depth. The cues for local shapes are conveyed by gradient; those for global shapes are carried by shadows; and those for depth are provided by shadows and translucent objects. Fill lights produce global effects to increase the perceptibility. Detail lights generate local effects to improve the cues for local shapes. Our method quantifies the perception and uses an exhaustive search to set the lights. It configures accessory lights with the consideration of preserving the global impression conveyed by the key light. It ensures the feeling of smooth light movements in animations. With simplification, it achieves interactive frame rates and produces results that are visually indistinguishable from results using the nonsimplified algorithm. The major contributions of this paper are our lighting system, perception measurement and lighting design algorithm with our indistinguishable simplification.",
"title": "Lighting System for Visual Perception Enhancement in Volume Rendering",
"normalizedTitle": "Lighting System for Visual Perception Enhancement in Volume Rendering",
"fno": "ttg2013010067",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Rendering Computer Graphics",
"Lighting",
"Interactive Frame Rates",
"Lighting System",
"Visual Perception Enhancement",
"Volume Rendering",
"Rendered Image",
"3 D Volumetric Objects",
"Key Light",
"Accessory Lights",
"Translucent Objects",
"Fill Lights",
"Lighting",
"Shape",
"Visualization",
"Rendering Computer Graphics",
"Three Dimensional Displays",
"Casting",
"Visual Systems",
"Light Placement",
"Rendering Computer Graphics",
"Lighting",
"Interactive Frame Rates",
"Lighting System",
"Visual Perception Enhancement",
"Volume Rendering",
"Rendered Image",
"3 D Volumetric Objects",
"Key Light",
"Accessory Lights",
"Translucent Objects",
"Fill Lights",
"Lighting",
"Shape",
"Visualization",
"Rendering Computer Graphics",
"Three Dimensional Displays",
"Casting",
"Visual Systems",
"Spherical Coordinate System",
"Lighting Design",
"Volume Rendering"
],
"authors": [
{
"givenName": null,
"surname": "Lei Wang",
"fullName": "Lei Wang",
"affiliation": "Dept. of Comput. Sci., Stony Brook Univ. (SUNY), Stony Brook, NY, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "A. E.",
"surname": "Kaufman",
"fullName": "A. E. Kaufman",
"affiliation": "Dept. of Comput. Sci., Stony Brook Univ. (SUNY), Stony Brook, NY, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2013-01-01 00:00:00",
"pubType": "trans",
"pages": "67-80",
"year": "2013",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2015/7568/0/7568a536",
"title": "Enhancing Visual Perception and Directing Viewer's Attention in Interactive Direct Volume Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2015/7568a536/12OmNAWpymA",
"parentPublication": {
"id": "proceedings/iv/2015/7568/0",
"title": "2015 19th International Conference on Information Visualisation (iV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2002/7498/0/7498bergner",
"title": "Interactive Spectral Volume Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2002/7498bergner/12OmNqEjhXN",
"parentPublication": {
"id": "proceedings/ieee-vis/2002/7498/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2003/2030/0/20300048",
"title": "LightKit: A lighting system for effective visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2003/20300048/12OmNzxgHuw",
"parentPublication": {
"id": "proceedings/ieee-vis/2003/2030/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/03/ttg2013030446",
"title": "Perceptually-Based Depth-Ordering Enhancement for Direct Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2013/03/ttg2013030446/13rRUwInvyw",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/12/ttg2012122372",
"title": "Structure-Aware Lighting Design for Volume Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2012/12/ttg2012122372/13rRUwghd97",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122946",
"title": "Lighting Design for Globally Illuminated Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122946/13rRUwvBy8U",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/06/06654124",
"title": "Toward Evaluating the Usefulness of GlobalIllumination for Novices in Lighting Design Tasks",
"doi": null,
"abstractUrl": "/journal/tg/2014/06/06654124/13rRUxASuGl",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/05/06671604",
"title": "Importance-Driven Accessory Lights Designfor Enhancing Local Shapes",
"doi": null,
"abstractUrl": "/journal/tg/2014/05/06671604/13rRUxBa5xj",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/02/v0197",
"title": "Geometry-Dependent Lighting",
"doi": null,
"abstractUrl": "/journal/tg/2006/02/v0197/13rRUyuegoX",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2020/6532/0/09090444",
"title": "Lighting Estimation via Differentiable Screen-Space Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2020/09090444/1jIxr4u5rFK",
"parentPublication": {
"id": "proceedings/vrw/2020/6532/0",
"title": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2013010056",
"articleId": "13rRUygT7sD",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2013010081",
"articleId": "13rRUyv53Fp",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTYesZ4",
"name": "ttg2013010067s.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2013010067s.zip",
"extension": "zip",
"size": "15.5 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAZx8Ow",
"title": "June",
"year": "2015",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "21",
"label": "June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyYSWsZ",
"doi": "10.1109/TVCG.2015.2418772",
"abstract": "Recently, several algorithms have been introduced that enable real-time performance for many lights in applications such as games. In this paper, we explore the use of hardware-supported virtual cube-map shadows to efficiently implement high-quality shadows from hundreds of light sources in real time and within a bounded memory footprint. In addition, we explore the utility of ray tracing for shadows from many lights and present a hybrid algorithm combining ray tracing with cube maps to exploit their respective strengths. Our solution supports real-time performance with hundreds of lights in fully dynamic high-detail scenes.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Recently, several algorithms have been introduced that enable real-time performance for many lights in applications such as games. In this paper, we explore the use of hardware-supported virtual cube-map shadows to efficiently implement high-quality shadows from hundreds of light sources in real time and within a bounded memory footprint. In addition, we explore the utility of ray tracing for shadows from many lights and present a hybrid algorithm combining ray tracing with cube maps to exploit their respective strengths. Our solution supports real-time performance with hundreds of lights in fully dynamic high-detail scenes.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Recently, several algorithms have been introduced that enable real-time performance for many lights in applications such as games. In this paper, we explore the use of hardware-supported virtual cube-map shadows to efficiently implement high-quality shadows from hundreds of light sources in real time and within a bounded memory footprint. In addition, we explore the utility of ray tracing for shadows from many lights and present a hybrid algorithm combining ray tracing with cube maps to exploit their respective strengths. Our solution supports real-time performance with hundreds of lights in fully dynamic high-detail scenes.",
"title": "More Efficient Virtual Shadow Maps for Many Lights",
"normalizedTitle": "More Efficient Virtual Shadow Maps for Many Lights",
"fno": "07076609",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Geometry",
"Real Time Systems",
"Clustering Algorithms",
"Ray Tracing",
"Light Sources",
"Rendering Computer Graphics",
"Receivers",
"Computer Graphics GPU Real Time Shading Shadows Virtual Texturing"
],
"authors": [
{
"givenName": "Ola",
"surname": "Olsson",
"fullName": "Ola Olsson",
"affiliation": "Department of Computer Science and Engineering, Chalmers University of Technology",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Markus",
"surname": "Billeter",
"fullName": "Markus Billeter",
"affiliation": "Department of Computer Science and Engineering, Chalmers University of Technology",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Erik",
"surname": "Sintorn",
"fullName": "Erik Sintorn",
"affiliation": "Department of Computer Science and Engineering, Chalmers University of Technology",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Viktor",
"surname": "Kampe",
"fullName": "Viktor Kampe",
"affiliation": "Department of Computer Science and Engineering, Chalmers University of Technology",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ulf",
"surname": "Assarsson",
"fullName": "Ulf Assarsson",
"affiliation": "Department of Computer Science and Engineering, Chalmers University of Technology",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2015-06-01 00:00:00",
"pubType": "trans",
"pages": "701-713",
"year": "2015",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/sibgrapi/2013/5099/0/5099a258",
"title": "Dynamic Per Object Ray Caching Textures for Real-Time Ray Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/sibgrapi/2013/5099a258/12OmNCfAPL8",
"parentPublication": {
"id": "proceedings/sibgrapi/2013/5099/0",
"title": "2013 XXVI Conference on Graphics, Patterns and Images",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sbgames/2017/4846/0/484601a106",
"title": "Hard Shadow Anti-Aliasing for Spot Lights in a Game Engine",
"doi": null,
"abstractUrl": "/proceedings-article/sbgames/2017/484601a106/12OmNrHSD0K",
"parentPublication": {
"id": "proceedings/sbgames/2017/4846/0",
"title": "2017 16th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgiv/2012/4778/0/4778a001",
"title": "GPU Ray Tracing Based on Reduced Bounding Volume Hierarchies",
"doi": null,
"abstractUrl": "/proceedings-article/cgiv/2012/4778a001/12OmNyQphcf",
"parentPublication": {
"id": "proceedings/cgiv/2012/4778/0",
"title": "2012 Ninth International Conference on Computer Graphics, Imaging and Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/rt/2007/1629/0/04342603",
"title": "RTSL: a Ray Tracing Shading Language",
"doi": null,
"abstractUrl": "/proceedings-article/rt/2007/04342603/12OmNz6iONd",
"parentPublication": {
"id": "proceedings/rt/2007/1629/0",
"title": "IEEE/ EG Symposium on Interactive Ray Tracing 2007",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/rt/2008/2741/0/04634633",
"title": "Adaptive ray packet reordering",
"doi": null,
"abstractUrl": "/proceedings-article/rt/2008/04634633/12OmNzvhvB6",
"parentPublication": {
"id": "proceedings/rt/2008/2741/0",
"title": "Symposium on Interactive Ray Tracing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2007/06/mcg2007060036",
"title": "Exploring a Boeing 777: Ray Tracing Large-Scale CAD Data",
"doi": null,
"abstractUrl": "/magazine/cg/2007/06/mcg2007060036/13rRUxC0SGw",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/06/08341814",
"title": "Fast Ray-Scene Intersection for Interactive Shadow Rendering with Thousands of Dynamic Lights",
"doi": null,
"abstractUrl": "/journal/tg/2019/06/08341814/13rRUxly8T5",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/03/08283638",
"title": "Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time",
"doi": null,
"abstractUrl": "/journal/tg/2019/03/08283638/17D45VTRouR",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2020/6532/0/09090633",
"title": "Micro-mirror array-plates simulation using ray tracing for mid-air imaging",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2020/09090633/1jIxsrAlhsY",
"parentPublication": {
"id": "proceedings/vrw/2020/6532/0",
"title": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/10/09113332",
"title": "Stochastic Lightcuts for Sampling Many Lights",
"doi": null,
"abstractUrl": "/journal/tg/2021/10/09113332/1kxX2rlqpDa",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07070744",
"articleId": "13rRUwdrdSB",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07027856",
"articleId": "13rRUxCitJe",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTYesZ6",
"name": "ttg201506-07076609s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg201506-07076609s1.zip",
"extension": "zip",
"size": "90.3 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1LUpyYLBfeo",
"title": "May",
"year": "2023",
"issueNum": "05",
"idPrefix": "tg",
"pubType": "journal",
"volume": "29",
"label": "May",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1KYooKy1LAQ",
"doi": "10.1109/TVCG.2023.3247066",
"abstract": "Inserting 3D virtual objects into real-world images has many applications in photo editing and augmented reality. One key issue to ensure the reality of the composite whole scene is to generate consistent shadows between virtual and real objects. However, it is challenging to synthesize visually realistic shadows for virtual and real objects without any explicit geometric information of the real scene or manual intervention, especially for the shadows on the virtual objects projected by real objects. In view of this challenge, we present, to our knowledge, the first end-to-end solution to fully automatically project real shadows onto virtual objects for outdoor scenes. In our method, we introduce the Shifted Shadow Map, a new shadow representation that encodes the binary mask of shifted real shadows after inserting virtual objects in an image. Based on the shifted shadow map, we propose a CNN-based shadow generation model named ShadowMover which first predicts the shifted shadow map for an input image and then automatically generates plausible shadows on any inserted virtual object. A large-scale dataset is constructed to train the model. Our ShadowMover is robust to various scene configurations without relying on any geometric information of the real scene and is free of manual intervention. Extensive experiments validate the effectiveness of our method.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Inserting 3D virtual objects into real-world images has many applications in photo editing and augmented reality. One key issue to ensure the reality of the composite whole scene is to generate consistent shadows between virtual and real objects. However, it is challenging to synthesize visually realistic shadows for virtual and real objects without any explicit geometric information of the real scene or manual intervention, especially for the shadows on the virtual objects projected by real objects. In view of this challenge, we present, to our knowledge, the first end-to-end solution to fully automatically project real shadows onto virtual objects for outdoor scenes. In our method, we introduce the Shifted Shadow Map, a new shadow representation that encodes the binary mask of shifted real shadows after inserting virtual objects in an image. Based on the shifted shadow map, we propose a CNN-based shadow generation model named ShadowMover which first predicts the shifted shadow map for an input image and then automatically generates plausible shadows on any inserted virtual object. A large-scale dataset is constructed to train the model. Our ShadowMover is robust to various scene configurations without relying on any geometric information of the real scene and is free of manual intervention. Extensive experiments validate the effectiveness of our method.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Inserting 3D virtual objects into real-world images has many applications in photo editing and augmented reality. One key issue to ensure the reality of the composite whole scene is to generate consistent shadows between virtual and real objects. However, it is challenging to synthesize visually realistic shadows for virtual and real objects without any explicit geometric information of the real scene or manual intervention, especially for the shadows on the virtual objects projected by real objects. In view of this challenge, we present, to our knowledge, the first end-to-end solution to fully automatically project real shadows onto virtual objects for outdoor scenes. In our method, we introduce the Shifted Shadow Map, a new shadow representation that encodes the binary mask of shifted real shadows after inserting virtual objects in an image. Based on the shifted shadow map, we propose a CNN-based shadow generation model named ShadowMover which first predicts the shifted shadow map for an input image and then automatically generates plausible shadows on any inserted virtual object. A large-scale dataset is constructed to train the model. Our ShadowMover is robust to various scene configurations without relying on any geometric information of the real scene and is free of manual intervention. Extensive experiments validate the effectiveness of our method.",
"title": "ShadowMover: Automatically Projecting Real Shadows onto Virtual Object",
"normalizedTitle": "ShadowMover: Automatically Projecting Real Shadows onto Virtual Object",
"fno": "10049677",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Augmented Reality",
"Feature Extraction",
"Virtual Reality",
"CNN Based Shadow Generation Model",
"Consistent Shadows",
"Inserted Virtual Object",
"Plausible Shadows",
"Shadow Representation",
"Shadow Mover",
"Shifted Shadow Map",
"Virtual Objects",
"Visually Realistic Shadows",
"Lighting",
"Three Dimensional Displays",
"Training",
"Manuals",
"Geometry",
"Rendering Computer Graphics",
"Estimation",
"Shifted Shadow Map",
"Virtual Object",
"Outdoor",
"Neural Network"
],
"authors": [
{
"givenName": "Piaopiao",
"surname": "Yu",
"fullName": "Piaopiao Yu",
"affiliation": "Nanjing University, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jie",
"surname": "Guo",
"fullName": "Jie Guo",
"affiliation": "Nanjing University, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Fan",
"surname": "Huang",
"fullName": "Fan Huang",
"affiliation": "Nanjing University, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Zhenyu",
"surname": "Chen",
"fullName": "Zhenyu Chen",
"affiliation": "Nanjing University, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Chen",
"surname": "Wang",
"fullName": "Chen Wang",
"affiliation": "Nanjing University, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Yan",
"surname": "Zhang",
"fullName": "Yan Zhang",
"affiliation": "Nanjing University, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Yanwen",
"surname": "Guo",
"fullName": "Yanwen Guo",
"affiliation": "Nanjing University, China",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "05",
"pubDate": "2023-05-01 00:00:00",
"pubType": "trans",
"pages": "2379-2389",
"year": "2023",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iwcse/2009/3881/1/3881a488",
"title": "A Survey of Shadow Rendering Algorithms: Projection Shadows and Shadow Volumes",
"doi": null,
"abstractUrl": "/proceedings-article/iwcse/2009/3881a488/12OmNBUAvYS",
"parentPublication": {
"id": "proceedings/iwcse/2009/3881/1",
"title": "Computer Science and Engineering, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2013/2246/0/2246a124",
"title": "Screen Space Anisotropic Blurred Soft Shadows by Efficient Separable Filtering Method",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2013/2246a124/12OmNwdtwco",
"parentPublication": {
"id": "proceedings/cw/2013/2246/0",
"title": "2013 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2015/9403/0/9403a359",
"title": "A Method of Touching and Moving Virtual Shadows with Real Shadows",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2015/9403a359/12OmNwpGgGH",
"parentPublication": {
"id": "proceedings/cw/2015/9403/0",
"title": "2015 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/03/07867820",
"title": "A Context-Aware Method for Authentically Simulating Outdoors Shadows for Mobile Augmented Reality",
"doi": null,
"abstractUrl": "/journal/tg/2018/03/07867820/13rRUy2YLT6",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0/661400b116",
"title": "Accurate Shadow Generation Analysis in Computer Graphics",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-smartcity-dss/2018/661400b116/183rAd01nZ8",
"parentPublication": {
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0",
"title": "2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/6.946E212",
"title": "Face Relighting with Geometrically Consistent Shadows",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/6.946E212/1H0MWKVYUb6",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08798049",
"title": "Shadow Inducers: Inconspicuous Highlights for Casting Virtual Shadows on OST-HMDs",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798049/1cJ0UaezhG8",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2021/1838/0/255600a170",
"title": "Bidirectional Shadow Rendering for Interactive Mixed 360° Videos",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2021/255600a170/1tuAEjkRUZy",
"parentPublication": {
"id": "proceedings/vr/2021/1838/0",
"title": "2021 IEEE Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/12/09490310",
"title": "Shedding Light on Cast Shadows: An Investigation of Perceived Ground Contact in AR and VR",
"doi": null,
"abstractUrl": "/journal/tg/2022/12/09490310/1vmGThNh9jq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900q6392",
"title": "No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900q6392/1yeIUDrZL9K",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "10049658",
"articleId": "1KYotjCVD7W",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "10058530",
"articleId": "1LdkjHapKW4",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBRKwCQ",
"title": "July-Aug.",
"year": "2020",
"issueNum": "04",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "40",
"label": "July-Aug.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1jtyNfWJwoo",
"doi": "10.1109/MCG.2020.2991839",
"abstract": "This article presents the use of rendered visual cues as drop shadows and their impact on overall usability and accuracy of grasping interactions for monitor-based exocentric augmented reality (AR). We report on two conditions, grasping with drop shadows and without drop shadows, and analyze a total of 1620 grasps of two virtual object types (cubes and spheres). We report on the accuracy of one grasp type, the Medium Wrap grasp, against Grasp Aperture (Z_$GAp$_ZGAp), Grasp Displacement (Z_$GDisp$_ZGDisp), completion time, and usability metrics from 30 participants. A comprehensive statistical analysis of the results is presented giving comparisons of the inclusion of drop shadows in AR grasping. Findings showed that the use of drop shadows increases usability of AR grasping while significantly decreasing task completion times. Furthermore, drop shadows also significantly improve user's depth estimation of AR object position. However, this study also shows that using drop shadows does not improve user's object size estimation, which remains as a problematic element in grasping AR interaction literature.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This article presents the use of rendered visual cues as drop shadows and their impact on overall usability and accuracy of grasping interactions for monitor-based exocentric augmented reality (AR). We report on two conditions, grasping with drop shadows and without drop shadows, and analyze a total of 1620 grasps of two virtual object types (cubes and spheres). We report on the accuracy of one grasp type, the Medium Wrap grasp, against Grasp Aperture ($GAp$GAp), Grasp Displacement ($GDisp$GDisp), completion time, and usability metrics from 30 participants. A comprehensive statistical analysis of the results is presented giving comparisons of the inclusion of drop shadows in AR grasping. Findings showed that the use of drop shadows increases usability of AR grasping while significantly decreasing task completion times. Furthermore, drop shadows also significantly improve user's depth estimation of AR object position. However, this study also shows that using drop shadows does not improve user's object size estimation, which remains as a problematic element in grasping AR interaction literature.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This article presents the use of rendered visual cues as drop shadows and their impact on overall usability and accuracy of grasping interactions for monitor-based exocentric augmented reality (AR). We report on two conditions, grasping with drop shadows and without drop shadows, and analyze a total of 1620 grasps of two virtual object types (cubes and spheres). We report on the accuracy of one grasp type, the Medium Wrap grasp, against Grasp Aperture (-GAp), Grasp Displacement (-GDisp), completion time, and usability metrics from 30 participants. A comprehensive statistical analysis of the results is presented giving comparisons of the inclusion of drop shadows in AR grasping. Findings showed that the use of drop shadows increases usability of AR grasping while significantly decreasing task completion times. Furthermore, drop shadows also significantly improve user's depth estimation of AR object position. However, this study also shows that using drop shadows does not improve user's object size estimation, which remains as a problematic element in grasping AR interaction literature.",
"title": "Evaluation of Drop Shadows for Virtual Object Grasping in Augmented Reality",
"normalizedTitle": "Evaluation of Drop Shadows for Virtual Object Grasping in Augmented Reality",
"fno": "09084269",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Augmented Reality",
"Grippers",
"Haptic Interfaces",
"Human Computer Interaction",
"Rendering Computer Graphics",
"Statistical Analysis",
"User Interfaces",
"Drop Shadows",
"Virtual Object Grasping",
"Grasp Type",
"AR Grasping",
"Augmented Reality",
"Rendered Visual Cues",
"Medium Wrap Grasp",
"Grasp Aperture",
"Grasp Displacement",
"Grasping",
"Usability",
"Visualization",
"Task Analysis",
"Augmented Reality",
"Training",
"Rendering Computer Graphics",
"Augmented Reality",
"Interaction",
"HCI",
"Usability",
"Serious Games"
],
"authors": [
{
"givenName": "Maadh",
"surname": "Al-Kalbani",
"fullName": "Maadh Al-Kalbani",
"affiliation": "DMT LabBirmingham City University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Maite",
"surname": "Frutos-Pascual",
"fullName": "Maite Frutos-Pascual",
"affiliation": "DMT LabBirmingham City University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ian",
"surname": "Williams",
"fullName": "Ian Williams",
"affiliation": "DMT LabBirmingham City University",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2020-07-01 00:00:00",
"pubType": "mags",
"pages": "10-25",
"year": "2020",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/svr/2012/4725/0/4725a036",
"title": "Realistic Shadows for Mobile Augmented Reality",
"doi": null,
"abstractUrl": "/proceedings-article/svr/2012/4725a036/12OmNASrawf",
"parentPublication": {
"id": "proceedings/svr/2012/4725/0",
"title": "2012 14th Symposium on Virtual and Augmented Reality",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2016/0836/0/07504725",
"title": "Casting shadows: Ecological interface design for augmented reality pedestrian collision warning",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2016/07504725/12OmNC8uRtR",
"parentPublication": {
"id": "proceedings/vr/2016/0836/0",
"title": "2016 IEEE Virtual Reality (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2016/3641/0/3641a084",
"title": "Analysis of Medium Wrap Freehand Virtual Object Grasping in Exocentric Mixed Reality",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2016/3641a084/12OmNCfSqMX",
"parentPublication": {
"id": "proceedings/ismar/2016/3641/0",
"title": "2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-adjunct/2017/6327/0/6327a192",
"title": "[POSTER] Illumination Estimation Using Cast Shadows for Realistic Augmented Reality Applications",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-adjunct/2017/6327a192/12OmNxX3uLh",
"parentPublication": {
"id": "proceedings/ismar-adjunct/2017/6327/0",
"title": "2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/03/07867820",
"title": "A Context-Aware Method for Authentically Simulating Outdoors Shadows for Mobile Augmented Reality",
"doi": null,
"abstractUrl": "/journal/tg/2018/03/07867820/13rRUy2YLT6",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vs-games/2019/4540/0/08864596",
"title": "Virtual Object Grasping in Augmented Reality: Drop Shadows for Improved Interaction",
"doi": null,
"abstractUrl": "/proceedings-article/vs-games/2019/08864596/1e5Zr5NHaqQ",
"parentPublication": {
"id": "proceedings/vs-games/2019/4540/0",
"title": "2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2020/5608/0/09089499",
"title": "Precise and realistic grasping and manipulation in Virtual Reality without force feedback",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2020/09089499/1jIx82saxUY",
"parentPublication": {
"id": "proceedings/vr/2020/5608/0",
"title": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2020/6532/0/09090547",
"title": "[DC] Resolving Cue Conflicts in Augmented Reality",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2020/09090547/1jIxw8zwtbO",
"parentPublication": {
"id": "proceedings/vrw/2020/6532/0",
"title": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2021/1838/0/255600a749",
"title": "Freehand Grasping: An Analysis of Grasping for Docking Tasks in Virtual Reality",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2021/255600a749/1tuAgrCerNC",
"parentPublication": {
"id": "proceedings/vr/2021/1838/0",
"title": "2021 IEEE Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-adjunct/2021/1298/0/129800a391",
"title": "A Grasp on Reality: Understanding Grasping Patterns for Object Interaction in Real and Virtual Environments",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-adjunct/2021/129800a391/1yeQOxGvsPK",
"parentPublication": {
"id": "proceedings/ismar-adjunct/2021/1298/0",
"title": "2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09116846",
"articleId": "1kGgmKbqRzi",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09079175",
"articleId": "1jNudK1nk7C",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAndihP",
"title": "Dec.",
"year": "2014",
"issueNum": "12",
"idPrefix": "si",
"pubType": "journal",
"volume": "22",
"label": "Dec.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUEgJDyS",
"doi": "10.1109/TVLSI.2013.2296526",
"abstract": "This paper describes a scalable hardware accelerator for speech recognition, which uses a two pass decoding algorithm with word dependent N-best Viterbi Beam Search. The observation probability calculation (Senone scoring) and first pass of decoding using a Bigram language model is implemented in hardware. The word lattice output from the first pass is used by software for the second pass, with a trigram language model. The proposed design uses a logic-on-memory approach to make use of high bandwidth nor flash memory to improve random read performance for Senone scoring and first pass decoding, both of which are memory intensive operations. The proposed HW/SW co-design achieves an overall speed up of 4.3X over a 2.4-GHz Intel Core 2 Duo processor running the CMU Sphinx speech recognition software, while consuming an estimated 1.72 W of power. The hardware accelerator provides improved speech recognition accuracy by supporting larger acoustic models and word dictionaries while maintaining real-time performance.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper describes a scalable hardware accelerator for speech recognition, which uses a two pass decoding algorithm with word dependent N-best Viterbi Beam Search. The observation probability calculation (Senone scoring) and first pass of decoding using a Bigram language model is implemented in hardware. The word lattice output from the first pass is used by software for the second pass, with a trigram language model. The proposed design uses a logic-on-memory approach to make use of high bandwidth nor flash memory to improve random read performance for Senone scoring and first pass decoding, both of which are memory intensive operations. The proposed HW/SW co-design achieves an overall speed up of 4.3X over a 2.4-GHz Intel Core 2 Duo processor running the CMU Sphinx speech recognition software, while consuming an estimated 1.72 W of power. The hardware accelerator provides improved speech recognition accuracy by supporting larger acoustic models and word dictionaries while maintaining real-time performance.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper describes a scalable hardware accelerator for speech recognition, which uses a two pass decoding algorithm with word dependent N-best Viterbi Beam Search. The observation probability calculation (Senone scoring) and first pass of decoding using a Bigram language model is implemented in hardware. The word lattice output from the first pass is used by software for the second pass, with a trigram language model. The proposed design uses a logic-on-memory approach to make use of high bandwidth nor flash memory to improve random read performance for Senone scoring and first pass decoding, both of which are memory intensive operations. The proposed HW/SW co-design achieves an overall speed up of 4.3X over a 2.4-GHz Intel Core 2 Duo processor running the CMU Sphinx speech recognition software, while consuming an estimated 1.72 W of power. The hardware accelerator provides improved speech recognition accuracy by supporting larger acoustic models and word dictionaries while maintaining real-time performance.",
"title": "A generic and scalable architecture for a large acoustic model and large vocabulary speech recognition accelerator using logic on memory",
"normalizedTitle": "A generic and scalable architecture for a large acoustic model and large vocabulary speech recognition accelerator using logic on memory",
"fno": "06718087",
"hasPdf": true,
"idPrefix": "si",
"keywords": [
"Hardware Software Codesign",
"Logic Circuits",
"Logic Design",
"Speech Coding",
"Speech Recognition",
"Generic Scalable Architecture",
"Large Acoustic Model",
"Large Vocabulary Speech Recognition Accelerator",
"Scalable Hardware Accelerator",
"Two Pass Decoding Algorithm",
"Word Dependent N Best Viterbi Beam Search",
"Observation Probability Calculation",
"Senone Scoring",
"Bigram Language Model",
"Word Lattice Output",
"Trigram Language Model",
"Logic On Memory Approach",
"Flash Memory",
"Read Performance",
"First Pass Decoding",
"Memory Intensive Operations",
"HW SW Co Design",
"Intel Core 2 Duo Processor",
"CMU Sphinx Speech Recognition Software",
"Acoustic Models",
"Word Dictionaries",
"Frequency 2 4 G Hz",
"Power 1 72 W",
"Hidden Markov Models",
"Hardware",
"Speech Recognition",
"Software",
"Decoding",
"Acoustics",
"Acoustic Beams",
"Accelerator",
"Beam Search",
"Embedded",
"Hardware Software Co Design",
"Logic On Memory",
"Multipass Decoding",
"N Best",
"Speech Recognition",
"Sphinx",
"Accelerator",
"Beam Search",
"Embedded",
"Hardware Software Co Design",
"Logic On Memory",
"Multipass Decoding",
"N Best",
"Speech Recognition",
"Sphinx"
],
"authors": [
{
"givenName": "Ojas A.",
"surname": "Bapat",
"fullName": "Ojas A. Bapat",
"affiliation": "Spansion Inc., Sunnyvale, CA, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Paul D.",
"surname": "Franzon",
"fullName": "Paul D. Franzon",
"affiliation": "Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Richard M.",
"surname": "Fastow",
"fullName": "Richard M. Fastow",
"affiliation": "Spansion Inc., Sunnyvale, CA, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "12",
"pubDate": "2014-12-01 00:00:00",
"pubType": "trans",
"pages": "2701-2712",
"year": "2014",
"issn": "1063-8210",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icassp/2002/7402/1/05743871",
"title": "Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2002/05743871/12OmNAo45JW",
"parentPublication": {
"id": "proceedings/icassp/2002/7402/1",
"title": "Proceedings of International Conference on Acoustics, Speech and Signal Processing (CASSP'02)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2004/8484/1/01326094",
"title": "Corrective language modeling for large vocabulary ASR with the perceptron algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2004/01326094/12OmNBgz4CI",
"parentPublication": {
"id": "proceedings/icassp/2004/8484/1",
"title": "2004 IEEE International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2017/6067/0/08019294",
"title": "Improving acoustic modeling using audio-visual speech",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2017/08019294/12OmNCbU2UT",
"parentPublication": {
"id": "proceedings/icme/2017/6067/0",
"title": "2017 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/1988/9999/0/00196527",
"title": "Large-vocabulary speaker-independent continuous speech recognition using HMM",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/1988/00196527/12OmNCbU3cW",
"parentPublication": {
"id": "proceedings/icassp/1988/9999/0",
"title": "ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2002/7402/1/05743693",
"title": "Confidence scoring for accurate HMM-based word recognition by using SM-based monophone score normalization",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2002/05743693/12OmNqIQSbc",
"parentPublication": {
"id": "proceedings/icassp/2002/7402/1",
"title": "Proceedings of International Conference on Acoustics, Speech and Signal Processing (CASSP'02)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/1994/1775/3/00389695",
"title": "Fast match acoustic models in large vocabulary continuous speech recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/1994/00389695/12OmNrJiCQc",
"parentPublication": {
"id": "proceedings/icassp/1994/1775/3",
"title": "Acoustics, Speech, and Signal Processing, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/1988/9999/0/00196630",
"title": "Large vocabulary speech recognition using a hidden Markov model for acoustic/phonetic classification",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/1988/00196630/12OmNy5zst5",
"parentPublication": {
"id": "proceedings/icassp/1988/9999/0",
"title": "ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/1995/2431/1/00479270",
"title": "Large vocabulary continuous speech recognition using word graphs",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/1995/00479270/12OmNz5JCh4",
"parentPublication": {
"id": "proceedings/icassp/1995/2431/1",
"title": "Acoustics, Speech, and Signal Processing, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnc/2007/2875/2/28750660",
"title": "Large Vocabulary Mandarin Continuous Speech Recognition under Noisy Environment",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2007/28750660/12OmNz6iOjv",
"parentPublication": {
"id": "proceedings/icnc/2007/2875/2",
"title": "Third International Conference on Natural Computation (ICNC 2007)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itme/2019/3918/0/391800a348",
"title": "Design and Implementation of an English Pronunciation Scoring System for Pupils Based on DNN-HMM",
"doi": null,
"abstractUrl": "/proceedings-article/itme/2019/391800a348/1gRxeew0EcU",
"parentPublication": {
"id": "proceedings/itme/2019/3918/0",
"title": "2019 10th International Conference on Information Technology in Medicine and Education (ITME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "06805621",
"articleId": "13rRUB7a1dw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06725673",
"articleId": "13rRUwd9CDM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwswg8C",
"title": "Feb.",
"year": "2020",
"issueNum": "02",
"idPrefix": "tm",
"pubType": "journal",
"volume": "19",
"label": "Feb.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "14C6d7kmuU8",
"doi": "10.1109/TMC.2018.2877683",
"abstract": "Deploying Autonomous Underwater Vehicles (AUVs) is a necessity to enable a range of civilian/military underwater applications; yet, achieving a reliable coordination among the vehicles is a challenging issue due to the time- and space-varying characteristics of the acoustic communication channel. The design of a Medium Access Control (MAC) based on a probabilistic Space Division Multiple Access (SDMA) method for short/medium distances (less than 2 km) is presented. This method considers the inherent vehicle position uncertainty due to the inaccuracies in models and the drift of the vehicles. It minimizes the acoustic interference statistically by considering the angular position of neighboring vehicles via a two-step estimation and by keeping the transmitter antenna's beamwidth of each vehicle at an optimal value. Such value is chosen considering three contrasting goals, i.e.: (i) spreading the signal beam towards the vehicle to combat position uncertainty using a coarse estimation; (ii) focusing the beam to reduce acoustic energy dispersion through a fine estimation; and (iii) minimizing interference to other vehicles. Simulation results in a sparse underwater network show that this approach mitigates interference, reduces the probability of retransmission, and achieves higher data rates over conventional underwater MAC techniques.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deploying Autonomous Underwater Vehicles (AUVs) is a necessity to enable a range of civilian/military underwater applications; yet, achieving a reliable coordination among the vehicles is a challenging issue due to the time- and space-varying characteristics of the acoustic communication channel. The design of a Medium Access Control (MAC) based on a probabilistic Space Division Multiple Access (SDMA) method for short/medium distances (less than 2 km) is presented. This method considers the inherent vehicle position uncertainty due to the inaccuracies in models and the drift of the vehicles. It minimizes the acoustic interference statistically by considering the angular position of neighboring vehicles via a two-step estimation and by keeping the transmitter antenna's beamwidth of each vehicle at an optimal value. Such value is chosen considering three contrasting goals, i.e.: (i) spreading the signal beam towards the vehicle to combat position uncertainty using a coarse estimation; (ii) focusing the beam to reduce acoustic energy dispersion through a fine estimation; and (iii) minimizing interference to other vehicles. Simulation results in a sparse underwater network show that this approach mitigates interference, reduces the probability of retransmission, and achieves higher data rates over conventional underwater MAC techniques.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deploying Autonomous Underwater Vehicles (AUVs) is a necessity to enable a range of civilian/military underwater applications; yet, achieving a reliable coordination among the vehicles is a challenging issue due to the time- and space-varying characteristics of the acoustic communication channel. The design of a Medium Access Control (MAC) based on a probabilistic Space Division Multiple Access (SDMA) method for short/medium distances (less than 2 km) is presented. This method considers the inherent vehicle position uncertainty due to the inaccuracies in models and the drift of the vehicles. It minimizes the acoustic interference statistically by considering the angular position of neighboring vehicles via a two-step estimation and by keeping the transmitter antenna's beamwidth of each vehicle at an optimal value. Such value is chosen considering three contrasting goals, i.e.: (i) spreading the signal beam towards the vehicle to combat position uncertainty using a coarse estimation; (ii) focusing the beam to reduce acoustic energy dispersion through a fine estimation; and (iii) minimizing interference to other vehicles. Simulation results in a sparse underwater network show that this approach mitigates interference, reduces the probability of retransmission, and achieves higher data rates over conventional underwater MAC techniques.",
"title": "Probabilistic Spatially-Divided Multiple Access in Underwater Acoustic Sparse Networks",
"normalizedTitle": "Probabilistic Spatially-Divided Multiple Access in Underwater Acoustic Sparse Networks",
"fno": "08502817",
"hasPdf": true,
"idPrefix": "tm",
"keywords": [
"Autonomous Underwater Vehicles",
"Probability",
"Space Division Multiple Access",
"Underwater Acoustic Communication",
"Reliable Coordination",
"Space Varying Characteristics",
"Acoustic Communication Channel",
"Inherent Vehicle Position Uncertainty",
"Acoustic Interference",
"Angular Position",
"Two Step Estimation",
"Transmitter Antenna",
"Optimal Value",
"Coarse Estimation",
"Acoustic Energy Dispersion",
"Fine Estimation",
"Interference Minimization",
"Sparse Underwater Network Show",
"Conventional Underwater MAC Techniques",
"Underwater Acoustic Sparse Networks",
"Autonomous Underwater Vehicles",
"Probabilistic Spatially Divided Multiple Access",
"Inherent Vehicle Position Uncertainty",
"Probabilistic Space Division Multiple Access Method",
"Multiaccess Communication",
"Acoustic Beams",
"Uncertainty",
"Interference",
"Estimation",
"Underwater Acoustics",
"Media Access Protocol",
"Underwater Acoustic Communications",
"Space Division Multiple Access",
"Position Uncertainty",
"Autonomous Vehicles"
],
"authors": [
{
"givenName": "Mehdi",
"surname": "Rahmati",
"fullName": "Mehdi Rahmati",
"affiliation": "Department of Electrical and Computer Engineering, Rutgers University–New Brunswick, NJ, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Dario",
"surname": "Pompili",
"fullName": "Dario Pompili",
"affiliation": "Department of Electrical and Computer Engineering, Rutgers University–New Brunswick, NJ, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2020-02-01 00:00:00",
"pubType": "trans",
"pages": "405-418",
"year": "2020",
"issn": "1536-1233",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/mass/2015/9101/0/9101a307",
"title": "Interference Cancellation in Multiuser Acoustic Underwater Networks Using Probabilistic SDMA",
"doi": null,
"abstractUrl": "/proceedings-article/mass/2015/9101a307/12OmNARRYwM",
"parentPublication": {
"id": "proceedings/mass/2015/9101/0",
"title": "2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/waina/2009/3639/0/3639b160",
"title": "A Novel Spatially Shared TDMA Protocol and Quality Measure for Ad Hoc Underwater Acoustic Network",
"doi": null,
"abstractUrl": "/proceedings-article/waina/2009/3639b160/12OmNASraU7",
"parentPublication": {
"id": "proceedings/waina/2009/3639/0",
"title": "2009 International Conference on Advanced Information Networking and Applications Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/euc/2011/4552/0/4552a452",
"title": "Sync MAC Protocol to Control Underwater Vehicle Based on Underwater Acoustic Communication",
"doi": null,
"abstractUrl": "/proceedings-article/euc/2011/4552a452/12OmNAgGwff",
"parentPublication": {
"id": "proceedings/euc/2011/4552/0",
"title": "Embedded and Ubiquitous Computing, IEEE/IFIP International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/msn/2013/5159/0/06726303",
"title": "A Beam Width and Direction Concerned Routing for Underwater Acoustic Sensor Networks",
"doi": null,
"abstractUrl": "/proceedings-article/msn/2013/06726303/12OmNwM6A66",
"parentPublication": {
"id": "proceedings/msn/2013/5159/0",
"title": "2013 Ninth International Conference on Mobile Ad-hoc and Sensor Networks (MSN)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/paccs/2009/3614/0/3614a640",
"title": "Study on Chaotic Sequence for Shallow Sea Acoustic Networks",
"doi": null,
"abstractUrl": "/proceedings-article/paccs/2009/3614a640/12OmNwwuDSy",
"parentPublication": {
"id": "proceedings/paccs/2009/3614/0",
"title": "2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/2017/2324/0/2324a180",
"title": "SSFB: Signal-Space-Frequency Beamforming for Underwater Acoustic Video Transmission",
"doi": null,
"abstractUrl": "/proceedings-article/mass/2017/2324a180/12OmNxRWIai",
"parentPublication": {
"id": "proceedings/mass/2017/2324/0",
"title": "2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/visual/1991/2245/0/00175784",
"title": "Acoustic imaging: the reconstruction of underwater objects",
"doi": null,
"abstractUrl": "/proceedings-article/visual/1991/00175784/12OmNyaGeL0",
"parentPublication": {
"id": "proceedings/visual/1991/2245/0",
"title": "1991 Proceeding Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccms/2010/3941/1/3941a346",
"title": "The Protocol of Physical Layer for Underwater Acoustic Network",
"doi": null,
"abstractUrl": "/proceedings-article/iccms/2010/3941a346/12OmNz3bdBA",
"parentPublication": {
"id": "proceedings/iccms/2010/3941/3",
"title": "Computer Modeling and Simulation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ec/2014/02/06763113",
"title": "Challenges and Opportunities of Underwater Cognitive Acoustic Networks",
"doi": null,
"abstractUrl": "/journal/ec/2014/02/06763113/13rRUzpzeJ8",
"parentPublication": {
"id": "trans/ec",
"title": "IEEE Transactions on Emerging Topics in Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icoin/2021/9101/0/09333994",
"title": "Impact of ARQ on the Distortion Performance of Underwater Acoustic Mobile Networks",
"doi": null,
"abstractUrl": "/proceedings-article/icoin/2021/09333994/1qTrUe3v488",
"parentPublication": {
"id": "proceedings/icoin/2021/9101/0",
"title": "2021 International Conference on Information Networking (ICOIN)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08632762",
"articleId": "17D45W2WyxJ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08630086",
"articleId": "17D45WUj91J",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAPjA9W",
"title": "May-June",
"year": "2016",
"issueNum": "03",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "36",
"label": "May-June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxASu3j",
"doi": "10.1109/MCG.2015.70",
"abstract": "The visualization of variability in surfaces embedded in 3D, which is a type of ensemble uncertainty visualization, provides a means of understanding the underlying distribution of a collection or ensemble of surfaces. This work extends the contour boxplot technique to 3D and evaluates it against an enumeration-style visualization of the ensemble members and other conventional visualizations used by atlas builders. The authors demonstrate the efficacy of using the 3D contour boxplot ensemble visualization technique to analyze shape alignment and variability in atlas construction and analysis as a real-world application.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The visualization of variability in surfaces embedded in 3D, which is a type of ensemble uncertainty visualization, provides a means of understanding the underlying distribution of a collection or ensemble of surfaces. This work extends the contour boxplot technique to 3D and evaluates it against an enumeration-style visualization of the ensemble members and other conventional visualizations used by atlas builders. The authors demonstrate the efficacy of using the 3D contour boxplot ensemble visualization technique to analyze shape alignment and variability in atlas construction and analysis as a real-world application.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The visualization of variability in surfaces embedded in 3D, which is a type of ensemble uncertainty visualization, provides a means of understanding the underlying distribution of a collection or ensemble of surfaces. This work extends the contour boxplot technique to 3D and evaluates it against an enumeration-style visualization of the ensemble members and other conventional visualizations used by atlas builders. The authors demonstrate the efficacy of using the 3D contour boxplot ensemble visualization technique to analyze shape alignment and variability in atlas construction and analysis as a real-world application.",
"title": "Evaluating Shape Alignment via Ensemble Visualization",
"normalizedTitle": "Evaluating Shape Alignment via Ensemble Visualization",
"fno": "mcg2016030060",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Three Dimensional Displays",
"Isosurfaces",
"Visualization",
"Contour Mapping",
"Ensemble Visualization",
"Computer Graphics",
"Contour Boxplot",
"Atlas Construction"
],
"authors": [
{
"givenName": "Mukund",
"surname": "Raj",
"fullName": "Mukund Raj",
"affiliation": "University of Utah",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Mahsa",
"surname": "Mirzargar",
"fullName": "Mahsa Mirzargar",
"affiliation": "University of Utah",
"__typename": "ArticleAuthorType"
},
{
"givenName": "J. Samuel",
"surname": "Preston",
"fullName": "J. Samuel Preston",
"affiliation": "University of Utah",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Robert M.",
"surname": "Kirby",
"fullName": "Robert M. Kirby",
"affiliation": "University of Utah",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ross T.",
"surname": "Whitaker",
"fullName": "Ross T. Whitaker",
"affiliation": "University of Utah",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2016-05-01 00:00:00",
"pubType": "mags",
"pages": "60-71",
"year": "2016",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icig/2013/5050/0/5050a001",
"title": "A Construction Model for 3D Imaging of Scanning Acoustic Microscopy",
"doi": null,
"abstractUrl": "/proceedings-article/icig/2013/5050a001/12OmNBSBk1n",
"parentPublication": {
"id": "proceedings/icig/2013/5050/0",
"title": "2013 Seventh International Conference on Image and Graphics (ICIG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2004/8788/0/87880497",
"title": "Simplifying Flexible Isosurfaces Using Local Geometric Measures",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2004/87880497/12OmNxUMHnw",
"parentPublication": {
"id": "proceedings/ieee-vis/2004/8788/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2018/1424/0/142401a230",
"title": "A Comparative 3D Visualization Tool for Observation of Mode Water",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2018/142401a230/12OmNyv7m59",
"parentPublication": {
"id": "proceedings/pacificvis/2018/1424/0",
"title": "2018 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cs/2007/01/c1026",
"title": "A Contour Map of the Ear's Vestibular Apparatus Based on 3D Reconstruction",
"doi": null,
"abstractUrl": "/magazine/cs/2007/01/c1026/13rRUB7a1jC",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/09/08405549",
"title": "Visualization and Visual Analysis of Ensemble Data: A Survey",
"doi": null,
"abstractUrl": "/journal/tg/2019/09/08405549/13rRUIIVlcV",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061421",
"title": "Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061421/13rRUILtJm4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875990",
"title": "Multi-Charts for Comparative 3D Ensemble Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875990/13rRUxYIMUZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07194852",
"title": "Effective Visualization of Temporal Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07194852/13rRUy3xY8c",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icitbs/2021/4854/0/485400a736",
"title": "Research on Strata Visualization Algorithm Based on Borehole",
"doi": null,
"abstractUrl": "/proceedings-article/icitbs/2021/485400a736/1wB6ZGJTLxK",
"parentPublication": {
"id": "proceedings/icitbs/2021/4854/0",
"title": "2021 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/04/09669058",
"title": "<italic>EnConVis</italic>: A Unified Framework for Ensemble Contour Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2023/04/09669058/1zTfZV1Ocnu",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2016030048",
"articleId": "13rRUwI5Uak",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2016030072",
"articleId": "13rRUyekIZN",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwpGgK8",
"title": "Dec.",
"year": "2014",
"issueNum": "12",
"idPrefix": "tg",
"pubType": "journal",
"volume": "20",
"label": "Dec.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxYIMUZ",
"doi": "10.1109/TVCG.2014.2346448",
"abstract": "A comparative visualization of multiple volume data sets is challenging due to the inherent occlusion effects, yet it is important to effectively reveal uncertainties, correlations and reliable trends in 3D ensemble fields. In this paper we present bidirectional linking of multi-charts and volume visualization as a means to analyze visually 3D scalar ensemble fields at the data level. Multi-charts are an extension of conventional bar and line charts: They linearize the 3D data points along a space-filling curve and draw them as multiple charts in the same plot area. The bar charts encode statistical information on ensemble members, such as histograms and probability densities, and line charts are overlayed to allow comparing members against the ensemble. Alternative linearizations based on histogram similarities or ensemble variation allow clustering of spatial locations depending on data distribution. Multi-charts organize the data at multiple scales to quickly provide overviews and enable users to select regions exhibiting interesting behavior interactively. They are further put into a spatial context by allowing the user to brush or query value intervals and specific distributions, and to simultaneously visualize the corresponding spatial points via volume rendering. By providing a picking mechanism in 3D and instantly highlighting the corresponding data points in the chart, the user can go back and forth between the abstract and the 3D view to focus the analysis.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A comparative visualization of multiple volume data sets is challenging due to the inherent occlusion effects, yet it is important to effectively reveal uncertainties, correlations and reliable trends in 3D ensemble fields. In this paper we present bidirectional linking of multi-charts and volume visualization as a means to analyze visually 3D scalar ensemble fields at the data level. Multi-charts are an extension of conventional bar and line charts: They linearize the 3D data points along a space-filling curve and draw them as multiple charts in the same plot area. The bar charts encode statistical information on ensemble members, such as histograms and probability densities, and line charts are overlayed to allow comparing members against the ensemble. Alternative linearizations based on histogram similarities or ensemble variation allow clustering of spatial locations depending on data distribution. Multi-charts organize the data at multiple scales to quickly provide overviews and enable users to select regions exhibiting interesting behavior interactively. They are further put into a spatial context by allowing the user to brush or query value intervals and specific distributions, and to simultaneously visualize the corresponding spatial points via volume rendering. By providing a picking mechanism in 3D and instantly highlighting the corresponding data points in the chart, the user can go back and forth between the abstract and the 3D view to focus the analysis.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "A comparative visualization of multiple volume data sets is challenging due to the inherent occlusion effects, yet it is important to effectively reveal uncertainties, correlations and reliable trends in 3D ensemble fields. In this paper we present bidirectional linking of multi-charts and volume visualization as a means to analyze visually 3D scalar ensemble fields at the data level. Multi-charts are an extension of conventional bar and line charts: They linearize the 3D data points along a space-filling curve and draw them as multiple charts in the same plot area. The bar charts encode statistical information on ensemble members, such as histograms and probability densities, and line charts are overlayed to allow comparing members against the ensemble. Alternative linearizations based on histogram similarities or ensemble variation allow clustering of spatial locations depending on data distribution. Multi-charts organize the data at multiple scales to quickly provide overviews and enable users to select regions exhibiting interesting behavior interactively. They are further put into a spatial context by allowing the user to brush or query value intervals and specific distributions, and to simultaneously visualize the corresponding spatial points via volume rendering. By providing a picking mechanism in 3D and instantly highlighting the corresponding data points in the chart, the user can go back and forth between the abstract and the 3D view to focus the analysis.",
"title": "Multi-Charts for Comparative 3D Ensemble Visualization",
"normalizedTitle": "Multi-Charts for Comparative 3D Ensemble Visualization",
"fno": "06875990",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Curve Fitting",
"Data Analysis",
"Data Visualisation",
"Learning Artificial Intelligence",
"Pattern Clustering",
"Rendering Computer Graphics",
"Comparative 3 D Ensemble Visualization",
"Multiple Volume Data Sets",
"Data Visualization",
"Inherent Occlusion Effects",
"Multicharts",
"Volume Visualization",
"Visually 3 D Scalar Ensemble Field",
"3 D Data Points",
"Space Filling Curve",
"Statistical Information",
"Bar Charts",
"Histograms",
"Probability Density",
"Alternative Linearizations",
"Spatial Location Clustering",
"Volume Rendering",
"Picking Mechanism",
"Three Dimensional Displays",
"Data Visualization",
"Histograms",
"Visualization",
"Image Color Analysis",
"Uncertainty",
"Ensemble Visualization",
"Brushing And Linking",
"Statistical Analysis"
],
"authors": [
{
"givenName": "Ismail",
"surname": "Demir",
"fullName": "Ismail Demir",
"affiliation": "Computer Graphics and Visualization Group, Technische Universität München Informatik 15, Garching, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Christian",
"surname": "Dick",
"fullName": "Christian Dick",
"affiliation": "Computer Graphics and Visualization Group, Technische Universität München Informatik 15, Garching, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rüdiger",
"surname": "Westermann",
"fullName": "Rüdiger Westermann",
"affiliation": "Computer Graphics and Visualization Group, Technische Universität München Informatik 15, Garching, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "12",
"pubDate": "2014-12-01 00:00:00",
"pubType": "trans",
"pages": "2694-2703",
"year": "2014",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2012/4771/0/4771a157",
"title": "Solving Combined Geospatial Tasks Using 2D and 3D Bar Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2012/4771a157/12OmNAu1Fmp",
"parentPublication": {
"id": "proceedings/iv/2012/4771/0",
"title": "2012 16th International Conference on Information Visualisation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/09/08405549",
"title": "Visualization and Visual Analysis of Ensemble Data: A Survey",
"doi": null,
"abstractUrl": "/journal/tg/2019/09/08405549/13rRUIIVlcV",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06876021",
"title": "Four Experiments on the Perception of Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06876021/13rRUNvgz9Q",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2016/03/mcg2016030060",
"title": "Evaluating Shape Alignment via Ensemble Visualization",
"doi": null,
"abstractUrl": "/magazine/cg/2016/03/mcg2016030060/13rRUxASu3j",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2002/03/v0255",
"title": "Hierarchical Pixel Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2002/03/v0255/13rRUyuegh1",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440038",
"title": "Dynamic Volume Lines: Visual Comparison of 3D Volumes through Space-filling Curves",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440038/17D45WrVgbN",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904487",
"title": "Studying Early Decision Making with Progressive Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904487/1H1geE4olvG",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a067",
"title": "An Overview of the Design and Development for Dynamic and Physical Bar Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a067/1KaH61BvDWw",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a151",
"title": "The Cost of Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a151/1cMFcqwGM5q",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552881",
"title": "Modeling Just Noticeable Differences in Charts",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552881/1xibXzMLm9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "06875963",
"articleId": "13rRUwj7cpc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06875945",
"articleId": "13rRUwInuWv",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNyGtjeZ",
"title": "Sept.",
"year": "2015",
"issueNum": "09",
"idPrefix": "tg",
"pubType": "journal",
"volume": "21",
"label": "Sept.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyuegp9",
"doi": "10.1109/TVCG.2015.2410278",
"abstract": "This paper presents an efficient visualization and exploration approach for modeling and characterizing the relationships and uncertainties in the context of a multidimensional ensemble dataset. Its core is a novel dissimilarity-preserving projection technique that characterizes not only the relationships among the mean values of the ensemble data objects but also the relationships among the distributions of ensemble members. This uncertainty-aware projection scheme leads to an improved understanding of the intrinsic structure in an ensemble dataset. The analysis of the ensemble dataset is further augmented by a suite of visual encoding and exploration tools. Experimental results on both artificial and real-world datasets demonstrate the effectiveness of our approach.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper presents an efficient visualization and exploration approach for modeling and characterizing the relationships and uncertainties in the context of a multidimensional ensemble dataset. Its core is a novel dissimilarity-preserving projection technique that characterizes not only the relationships among the mean values of the ensemble data objects but also the relationships among the distributions of ensemble members. This uncertainty-aware projection scheme leads to an improved understanding of the intrinsic structure in an ensemble dataset. The analysis of the ensemble dataset is further augmented by a suite of visual encoding and exploration tools. Experimental results on both artificial and real-world datasets demonstrate the effectiveness of our approach.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper presents an efficient visualization and exploration approach for modeling and characterizing the relationships and uncertainties in the context of a multidimensional ensemble dataset. Its core is a novel dissimilarity-preserving projection technique that characterizes not only the relationships among the mean values of the ensemble data objects but also the relationships among the distributions of ensemble members. This uncertainty-aware projection scheme leads to an improved understanding of the intrinsic structure in an ensemble dataset. The analysis of the ensemble dataset is further augmented by a suite of visual encoding and exploration tools. Experimental results on both artificial and real-world datasets demonstrate the effectiveness of our approach.",
"title": "Uncertainty-Aware Multidimensional Ensemble Data Visualization and Exploration",
"normalizedTitle": "Uncertainty-Aware Multidimensional Ensemble Data Visualization and Exploration",
"fno": "07055260",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualisation",
"Uncertainty Aware Multidimensional Ensemble Data Visualization",
"Uncertainty Aware Multidimensional Ensemble Data Exploration",
"Multidimensional Ensemble Dataset",
"Dissimilarity Preserving Projection Technique",
"Visual Encoding",
"Visual Exploration Tools",
"Data Visualization",
"Uncertainty",
"Visualization",
"Symmetric Matrices",
"Bandwidth",
"Solid Modeling",
"Numerical Models",
"Ensemble Visualization",
"Uncertainty Quantification",
"Uncertainty Visualization",
"Multidimensional Data Visualization",
"Ensemble Visualization",
"Uncertainty Quantification",
"Uncertainty Visualization",
"Multidimensional Data Visualization"
],
"authors": [
{
"givenName": "Haidong",
"surname": "Chen",
"fullName": "Haidong Chen",
"affiliation": "State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Song",
"surname": "Zhang",
"fullName": "Song Zhang",
"affiliation": "Department of Computer Science and Engineering, Mississippi State University, Mississippi State, MI",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Wei",
"surname": "Chen",
"fullName": "Wei Chen",
"affiliation": "State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Honghui",
"surname": "Mei",
"fullName": "Honghui Mei",
"affiliation": "State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jiawei",
"surname": "Zhang",
"fullName": "Jiawei Zhang",
"affiliation": "State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Andrew",
"surname": "Mercer",
"fullName": "Andrew Mercer",
"affiliation": "Geosciences Department, Mississippi State University, Mississippi State, MI",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ronghua",
"surname": "Liang",
"fullName": "Ronghua Liang",
"affiliation": "College of Information Engineering, Zhejiang University of Technology, Hangzhou, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Huamin",
"surname": "Qu",
"fullName": "Huamin Qu",
"affiliation": "Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "09",
"pubDate": "2015-09-01 00:00:00",
"pubType": "trans",
"pages": "1072-1086",
"year": "2015",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vizsec/2015/7599/0/07312766",
"title": "Ensemble visualization for cyber situation awareness of network security data",
"doi": null,
"abstractUrl": "/proceedings-article/vizsec/2015/07312766/12OmNC4eSCa",
"parentPublication": {
"id": "proceedings/vizsec/2015/7599/0",
"title": "2015 IEEE Symposium on Visualization for Cyber Security (VizSec)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2009/3902/0/05360497",
"title": "Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2009/05360497/12OmNya72rr",
"parentPublication": {
"id": "proceedings/icdmw/2009/3902/0",
"title": "2009 IEEE International Conference on Data Mining Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061421",
"title": "Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061421/13rRUILtJm4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/09/07563342",
"title": "Uncertainty Visualization by Representative Sampling from Prediction Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2017/09/07563342/13rRUIM2VH4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2014/03/mcg2014030008",
"title": "Future challenges for ensemble visualization",
"doi": null,
"abstractUrl": "/magazine/cg/2014/03/mcg2014030008/13rRUxNmPLh",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/10/07352364",
"title": "Modality-Driven Classification and Visualization of Ensemble Variance",
"doi": null,
"abstractUrl": "/journal/tg/2016/10/07352364/13rRUyp7tWZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440102",
"title": "EnsembleLens: Ensemble-based Visual Exploration of Anomaly Detection Algorithms with Multidimensional Data",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440102/17D45VsBU48",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/04/08525340",
"title": "<italic>e</italic>FESTA: Ensemble Feature Exploration with Surface Density Estimates",
"doi": null,
"abstractUrl": "/journal/tg/2020/04/08525340/17D45W2WyxX",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222092",
"title": "Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222092/1nTqGJRtSIU",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/04/09669058",
"title": "<italic>EnConVis</italic>: A Unified Framework for Ensemble Contour Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2023/04/09669058/1zTfZV1Ocnu",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07055263",
"articleId": "13rRUxASu0N",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07063249",
"articleId": "13rRUNvyakQ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTYet2v",
"name": "ttg201509-07055260s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg201509-07055260s1.zip",
"extension": "zip",
"size": "22.7 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNCaLEju",
"title": "Jan.",
"year": "2018",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "24",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyv53Fz",
"doi": "10.1109/TVCG.2017.2745178",
"abstract": "In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified clusters (i.e., groups of similar members), however, can be very sensitive to small changes of the selected region, so that clustering results can be misleading and bias subsequent analyses. In this article, we - a team of visualization scientists and meteorologists-deliver visual analytics solutions to analyze the sensitivity of clustering results with respect to changes of a selected region. We propose an interactive visual interface that enables simultaneous visualization of a) the variation in composition of identified clusters (i.e., their robustness), b) the variability in cluster membership for individual ensemble members, and c) the uncertainty in the spatial locations of identified trends. We demonstrate that our solution shows meteorologists how representative a clustering result is, and with respect to which changes in the selected region it becomes unstable. Furthermore, our solution helps to identify those ensemble members which stably belong to a given cluster and can thus be considered similar. In a real-world application case we show how our approach is used to analyze the clustering behavior of different regions in a forecast of “Tropical Cyclone Karl”, guiding the user towards the cluster robustness information required for subsequent ensemble analysis.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified clusters (i.e., groups of similar members), however, can be very sensitive to small changes of the selected region, so that clustering results can be misleading and bias subsequent analyses. In this article, we - a team of visualization scientists and meteorologists-deliver visual analytics solutions to analyze the sensitivity of clustering results with respect to changes of a selected region. We propose an interactive visual interface that enables simultaneous visualization of a) the variation in composition of identified clusters (i.e., their robustness), b) the variability in cluster membership for individual ensemble members, and c) the uncertainty in the spatial locations of identified trends. We demonstrate that our solution shows meteorologists how representative a clustering result is, and with respect to which changes in the selected region it becomes unstable. Furthermore, our solution helps to identify those ensemble members which stably belong to a given cluster and can thus be considered similar. In a real-world application case we show how our approach is used to analyze the clustering behavior of different regions in a forecast of “Tropical Cyclone Karl”, guiding the user towards the cluster robustness information required for subsequent ensemble analysis.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified clusters (i.e., groups of similar members), however, can be very sensitive to small changes of the selected region, so that clustering results can be misleading and bias subsequent analyses. In this article, we - a team of visualization scientists and meteorologists-deliver visual analytics solutions to analyze the sensitivity of clustering results with respect to changes of a selected region. We propose an interactive visual interface that enables simultaneous visualization of a) the variation in composition of identified clusters (i.e., their robustness), b) the variability in cluster membership for individual ensemble members, and c) the uncertainty in the spatial locations of identified trends. We demonstrate that our solution shows meteorologists how representative a clustering result is, and with respect to which changes in the selected region it becomes unstable. Furthermore, our solution helps to identify those ensemble members which stably belong to a given cluster and can thus be considered similar. In a real-world application case we show how our approach is used to analyze the clustering behavior of different regions in a forecast of “Tropical Cyclone Karl”, guiding the user towards the cluster robustness information required for subsequent ensemble analysis.",
"title": "Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses",
"normalizedTitle": "Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses",
"fno": "08019883",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Analysis",
"Geophysics Computing",
"Pattern Clustering",
"Statistical Analysis",
"Storms",
"Weather Forecasting",
"Ensemble Weather Forecast Analyses",
"Ensemble Weather Predictions",
"Interactive Visual Interface",
"Simultaneous Visualization",
"Cluster Membership",
"Cluster Robustness Information",
"Subsequent Ensemble Analysis",
"Visual Analytics",
"Ensemble Members",
"Tropical Cyclone Karl",
"Weather Forecasting",
"Data Visualization",
"Robustness",
"Market Research",
"Visualization",
"Uncertainty",
"Uncertainty Visualization",
"Ensemble Visualization",
"Clustering",
"Meteorology"
],
"authors": [
{
"givenName": "Alexander",
"surname": "Kumpf",
"fullName": "Alexander Kumpf",
"affiliation": "Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Bianca",
"surname": "Tost",
"fullName": "Bianca Tost",
"affiliation": "Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Marlene",
"surname": "Baumgart",
"fullName": "Marlene Baumgart",
"affiliation": "Institute of Atmospheric Physics, Johannes Gutenberg Universität Mainz, Mainz, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Michael",
"surname": "Riemer",
"fullName": "Michael Riemer",
"affiliation": "Institute of Atmospheric Physics, Johannes Gutenberg Universität Mainz, Mainz, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rüdiger",
"surname": "Westermann",
"fullName": "Rüdiger Westermann",
"affiliation": "Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Marc",
"surname": "Rautenhaus",
"fullName": "Marc Rautenhaus",
"affiliation": "Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2018-01-01 00:00:00",
"pubType": "trans",
"pages": "109-119",
"year": "2018",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/cad-graphics/2015/8020/0/07450406",
"title": "A Visualization System for Weather Forecast Analogs",
"doi": null,
"abstractUrl": "/proceedings-article/cad-graphics/2015/07450406/12OmNqGRGim",
"parentPublication": {
"id": "proceedings/cad-graphics/2015/8020/0",
"title": "2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/shpcc/1994/5680/0/00296669",
"title": "Medium-range weather forecast on parallel systems",
"doi": null,
"abstractUrl": "/proceedings-article/shpcc/1994/00296669/12OmNwkzurx",
"parentPublication": {
"id": "proceedings/shpcc/1994/5680/0",
"title": "Proceedings of IEEE Scalable High Performance Computing Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcmp-ugc/2010/986/0/06018008",
"title": "Maximizing the Performance of the Weather Research and Forecast Model over the Hawaiian Islands",
"doi": null,
"abstractUrl": "/proceedings-article/hpcmp-ugc/2010/06018008/12OmNz61d5w",
"parentPublication": {
"id": "proceedings/hpcmp-ugc/2010/986/0",
"title": "2010 DoD High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC 2010)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061421",
"title": "Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061421/13rRUILtJm4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/01/07539342",
"title": "Time-Hierarchical Clustering and Visualization of Weather Forecast Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2017/01/07539342/13rRUxYIN4d",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192710",
"title": "Visually Comparing Weather Features in Forecasts",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192710/13rRUxly95E",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2018/9156/0/915600a415",
"title": "DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2018/915600a415/17D45WaTklN",
"parentPublication": {
"id": "proceedings/e-science/2018/9156/0",
"title": "2018 IEEE 14th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440052",
"title": "An Interactive Framework for Visualization of Weather Forecast Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440052/17D45XDIXW9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440839",
"title": "Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440839/17D45XfSEST",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mdm/2021/2845/0/284500a258",
"title": "Ship path planning based on Deep Reinforcement Learning and weather forecast",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2021/284500a258/1v2QBWkBIhq",
"parentPublication": {
"id": "proceedings/mdm/2021/2845/0",
"title": "2021 22nd IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08019872",
"articleId": "13rRUxlgxTs",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08019867",
"articleId": "13rRUxD9gXO",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTYet4x",
"name": "ttg201801-08019883s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg201801-08019883s1.zip",
"extension": "zip",
"size": "60.4 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1qL5hsvvVkc",
"title": "Feb.",
"year": "2021",
"issueNum": "02",
"idPrefix": "tg",
"pubType": "journal",
"volume": "27",
"label": "Feb.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1nTqGJRtSIU",
"doi": "10.1109/TVCG.2020.3030377",
"abstract": "As an important method of handling potential uncertainties in numerical simulations, ensemble simulation has been widely applied in many disciplines. Visualization is a promising and powerful ensemble simulation analysis method. However, conventional visualization methods mainly aim at data simplification and highlighting important information based on domain expertise instead of providing a flexible data exploration and intervention mechanism. Trial-and-error procedures have to be repeatedly conducted by such approaches. To resolve this issue, we propose a new perspective of ensemble data analysis using the attribute variable dimension as the primary analysis dimension. Particularly, we propose a variable uncertainty calculation method based on variable spatial spreading. Based on this method, we design an interactive ensemble analysis framework that provides a flexible interactive exploration of the ensemble data. Particularly, the proposed spreading curve view, the region stability heat map view, and the temporal analysis view, together with the commonly used 2D map view, jointly support uncertainty distribution perception, region selection, and temporal analysis, as well as other analysis requirements. We verify our approach by analyzing a real-world ensemble simulation dataset. Feedback collected from domain experts confirms the efficacy of our framework.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As an important method of handling potential uncertainties in numerical simulations, ensemble simulation has been widely applied in many disciplines. Visualization is a promising and powerful ensemble simulation analysis method. However, conventional visualization methods mainly aim at data simplification and highlighting important information based on domain expertise instead of providing a flexible data exploration and intervention mechanism. Trial-and-error procedures have to be repeatedly conducted by such approaches. To resolve this issue, we propose a new perspective of ensemble data analysis using the attribute variable dimension as the primary analysis dimension. Particularly, we propose a variable uncertainty calculation method based on variable spatial spreading. Based on this method, we design an interactive ensemble analysis framework that provides a flexible interactive exploration of the ensemble data. Particularly, the proposed spreading curve view, the region stability heat map view, and the temporal analysis view, together with the commonly used 2D map view, jointly support uncertainty distribution perception, region selection, and temporal analysis, as well as other analysis requirements. We verify our approach by analyzing a real-world ensemble simulation dataset. Feedback collected from domain experts confirms the efficacy of our framework.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As an important method of handling potential uncertainties in numerical simulations, ensemble simulation has been widely applied in many disciplines. Visualization is a promising and powerful ensemble simulation analysis method. However, conventional visualization methods mainly aim at data simplification and highlighting important information based on domain expertise instead of providing a flexible data exploration and intervention mechanism. Trial-and-error procedures have to be repeatedly conducted by such approaches. To resolve this issue, we propose a new perspective of ensemble data analysis using the attribute variable dimension as the primary analysis dimension. Particularly, we propose a variable uncertainty calculation method based on variable spatial spreading. Based on this method, we design an interactive ensemble analysis framework that provides a flexible interactive exploration of the ensemble data. Particularly, the proposed spreading curve view, the region stability heat map view, and the temporal analysis view, together with the commonly used 2D map view, jointly support uncertainty distribution perception, region selection, and temporal analysis, as well as other analysis requirements. We verify our approach by analyzing a real-world ensemble simulation dataset. Feedback collected from domain experts confirms the efficacy of our framework.",
"title": "Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading",
"normalizedTitle": "Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading",
"fno": "09222092",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Numerical Analysis",
"Uncertainty Handling",
"Data Visualization",
"Variable Spatial Spreading",
"Numerical Simulations",
"Ensemble Simulation",
"Data Exploration",
"Ensemble Data Analysis",
"Attribute Variable Dimension",
"Variable Uncertainty Calculation Method",
"Interactive Ensemble Analysis Framework",
"Interactive Exploration",
"Spreading Curve View",
"Region Stability Heat Map View",
"Temporal Analysis View",
"2 D Map View",
"Uncertainty Distribution Perception",
"Data Visualization",
"Uncertainty",
"Analytical Models",
"Computational Modeling",
"Visualization",
"Data Models",
"Stability Analysis",
"Uncertainty Visualization",
"Ensemble Visualization",
"Spatial Spreading",
"Temporal Analysis"
],
"authors": [
{
"givenName": "Mingdong",
"surname": "Zhang",
"fullName": "Mingdong Zhang",
"affiliation": "School of Software, BNRist, Tsinghua University, Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Li",
"surname": "Chen",
"fullName": "Li Chen",
"affiliation": "School of Software, BNRist, Tsinghua University, Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Quan",
"surname": "Li",
"fullName": "Quan Li",
"affiliation": "WeBank, AI Group, Guangdong, Shenzhen, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xiaoru",
"surname": "Yuan",
"fullName": "Xiaoru Yuan",
"affiliation": "Laboratory of Machine Perception (Ministry of Education), National Engineering Laboratory for Big Data Analysis and Application, Peking University, Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Junhai",
"surname": "Yong",
"fullName": "Junhai Yong",
"affiliation": "School of Software, BNRist, Tsinghua University, Beijing, China",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2021-02-01 00:00:00",
"pubType": "trans",
"pages": "1808-1818",
"year": "2021",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icdmw/2009/3902/0/05360497",
"title": "Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2009/05360497/12OmNya72rr",
"parentPublication": {
"id": "proceedings/icdmw/2009/3902/0",
"title": "2009 IEEE International Conference on Data Mining Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/09/08405549",
"title": "Visualization and Visual Analysis of Ensemble Data: A Survey",
"doi": null,
"abstractUrl": "/journal/tg/2019/09/08405549/13rRUIIVlcV",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061421",
"title": "Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061421/13rRUILtJm4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122733",
"title": "Coupled Ensemble Flow Line Advection and Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122733/13rRUxAAT0T",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2014/03/mcg2014030008",
"title": "Future challenges for ensemble visualization",
"doi": null,
"abstractUrl": "/magazine/cg/2014/03/mcg2014030008/13rRUxNmPLh",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875990",
"title": "Multi-Charts for Comparative 3D Ensemble Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875990/13rRUxYIMUZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2015/09/07055260",
"title": "Uncertainty-Aware Multidimensional Ensemble Data Visualization and Exploration",
"doi": null,
"abstractUrl": "/journal/tg/2015/09/07055260/13rRUyuegp9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09905423",
"title": "Visualizing Ensemble Predictions of Music Mood",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09905423/1H2libIERoY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08805426",
"title": "InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08805426/1cG4qBnK6Fq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/04/09669058",
"title": "<italic>EnConVis</italic>: A Unified Framework for Ensemble Contour Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2023/04/09669058/1zTfZV1Ocnu",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09224194",
"articleId": "1nV71j9G3yo",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09222253",
"articleId": "1nTrrxWmyqs",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1qLeaMRn67u",
"name": "ttg202102-09222092s1-supp1-3030377.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202102-09222092s1-supp1-3030377.mp4",
"extension": "mp4",
"size": "31.1 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1GjwQktLcB2",
"title": "Oct.",
"year": "2022",
"issueNum": "10",
"idPrefix": "tg",
"pubType": "journal",
"volume": "28",
"label": "Oct.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1rtTH3Jlh72",
"doi": "10.1109/TVCG.2021.3061925",
"abstract": "For an ensemble of 3D multi-parameter fields, we present a visual analytics workflow to analyse whether and which parts of a selected multi-parameter distribution is present in all ensemble members. Supported by a parallel coordinate plot, a multi-parameter brush is applied to all ensemble members to select data points with similar multi-parameter distribution. By a combination of spatial sub-division and a covariance analysis of partitioned sub-sets of data points, a tight partition in multi-parameter space with reduced number of selected data points is obtained. To assess the representativeness of the selected multi-parameter distribution across the ensemble, we propose a novel extension of violin plots that can show multiple parameter distributions simultaneously. We investigate the visual design that effectively conveys (dis-)similarities in multi-parameter distributions, and demonstrate that users can quickly comprehend parameter-specific differences regarding distribution shape and representativeness from a side-by-side view of these plots. In a 3D spatial view, users can analyse and compare the spatial distribution of selected data points in different ensemble members via interval-based isosurface raycasting. In two real-world application cases we show how our approach is used to analyse the multi-parameter distributions across an ensemble of 3D fields.",
"abstracts": [
{
"abstractType": "Regular",
"content": "For an ensemble of 3D multi-parameter fields, we present a visual analytics workflow to analyse whether and which parts of a selected multi-parameter distribution is present in all ensemble members. Supported by a parallel coordinate plot, a multi-parameter brush is applied to all ensemble members to select data points with similar multi-parameter distribution. By a combination of spatial sub-division and a covariance analysis of partitioned sub-sets of data points, a tight partition in multi-parameter space with reduced number of selected data points is obtained. To assess the representativeness of the selected multi-parameter distribution across the ensemble, we propose a novel extension of violin plots that can show multiple parameter distributions simultaneously. We investigate the visual design that effectively conveys (dis-)similarities in multi-parameter distributions, and demonstrate that users can quickly comprehend parameter-specific differences regarding distribution shape and representativeness from a side-by-side view of these plots. In a 3D spatial view, users can analyse and compare the spatial distribution of selected data points in different ensemble members via interval-based isosurface raycasting. In two real-world application cases we show how our approach is used to analyse the multi-parameter distributions across an ensemble of 3D fields.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "For an ensemble of 3D multi-parameter fields, we present a visual analytics workflow to analyse whether and which parts of a selected multi-parameter distribution is present in all ensemble members. Supported by a parallel coordinate plot, a multi-parameter brush is applied to all ensemble members to select data points with similar multi-parameter distribution. By a combination of spatial sub-division and a covariance analysis of partitioned sub-sets of data points, a tight partition in multi-parameter space with reduced number of selected data points is obtained. To assess the representativeness of the selected multi-parameter distribution across the ensemble, we propose a novel extension of violin plots that can show multiple parameter distributions simultaneously. We investigate the visual design that effectively conveys (dis-)similarities in multi-parameter distributions, and demonstrate that users can quickly comprehend parameter-specific differences regarding distribution shape and representativeness from a side-by-side view of these plots. In a 3D spatial view, users can analyse and compare the spatial distribution of selected data points in different ensemble members via interval-based isosurface raycasting. In two real-world application cases we show how our approach is used to analyse the multi-parameter distributions across an ensemble of 3D fields.",
"title": "Visual Analysis of Multi-Parameter Distributions Across Ensembles of 3D Fields",
"normalizedTitle": "Visual Analysis of Multi-Parameter Distributions Across Ensembles of 3D Fields",
"fno": "09362264",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualization",
"Three Dimensional Displays",
"Uncertainty",
"Rendering Computer Graphics",
"Visual Analytics",
"Market Research",
"Isosurfaces",
"Ensemble Visualization",
"Multi Parameter Visualization",
"3 D Rendering",
"Distribution Comparison",
"Parallel Coordinates"
],
"authors": [
{
"givenName": "Alexander",
"surname": "Kumpf",
"fullName": "Alexander Kumpf",
"affiliation": "Computer Graphics & Visualization Group, Technical University of Munich (TUM), München, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Josef",
"surname": "Stumpfegger",
"fullName": "Josef Stumpfegger",
"affiliation": "Computer Graphics & Visualization Group, Technical University of Munich (TUM), München, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Patrick Fabian",
"surname": "Härtl",
"fullName": "Patrick Fabian Härtl",
"affiliation": "Computer Graphics & Visualization Group, Technical University of Munich (TUM), München, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rüdiger",
"surname": "Westermann",
"fullName": "Rüdiger Westermann",
"affiliation": "Computer Graphics & Visualization Group, Technical University of Munich (TUM), München, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "10",
"pubDate": "2022-10-01 00:00:00",
"pubType": "trans",
"pages": "3530-3545",
"year": "2022",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vast/2015/9783/0/07347635",
"title": "Interactive visual steering of hierarchical simulation ensembles",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2015/07347635/12OmNB7LvDK",
"parentPublication": {
"id": "proceedings/vast/2015/9783/0",
"title": "2015 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2014/02/mcg2014020048",
"title": "Visual Exploration of Parameter Influence on Phylogenetic Trees",
"doi": null,
"abstractUrl": "/magazine/cg/2014/02/mcg2014020048/13rRUIJuxxX",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/10/07352365",
"title": "Visual Trends Analysis in Time-Varying Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2016/10/07352365/13rRUwI5TR2",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122743",
"title": "Comparative Visual Analysis of Lagrangian Transport in CFD Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122743/13rRUwbs2b4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/12/ttg2011122402",
"title": "Visualization of Parameter Space for Image Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2011/12/ttg2011122402/13rRUwd9CLJ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/12/07792155",
"title": "Scalable Visualization of Time-varying Multi-parameter Distributions Using Spatially Organized Histograms",
"doi": null,
"abstractUrl": "/journal/tg/2017/12/07792155/13rRUwhpBO8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/12/ttg2011121882",
"title": "Interactive, Graph-based Visual Analysis of High-dimensional, Multi-parameter Fluorescence Microscopy Data in Toponomics",
"doi": null,
"abstractUrl": "/journal/tg/2011/12/ttg2011121882/13rRUytWF9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a150",
"title": "ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a150/1J6h5DX0BAA",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a145",
"title": "Visualizing Confidence Intervals for Critical Point Probabilities in 2D Scalar Field Ensembles",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a145/1J6h7HNSI0g",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a155",
"title": "Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a155/1J6h9t3Kc3S",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09374711",
"articleId": "1rR7Vh9iRr2",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09802784",
"articleId": "1Eo1xk9vKuI",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1GjwRUnFu4E",
"name": "ttg202210-09362264s1-supp1-3061925.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202210-09362264s1-supp1-3061925.mp4",
"extension": "mp4",
"size": "31.9 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNyKJisD",
"title": "Oct.-Dec.",
"year": "2015",
"issueNum": "04",
"idPrefix": "th",
"pubType": "journal",
"volume": "8",
"label": "Oct.-Dec.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwInvfi",
"doi": "10.1109/TOH.2015.2445768",
"abstract": "This article presents methods for direct visuo-haptic 4D volume rendering of virtual patient models under respiratory motion. Breathing models are computed based on patient-specific 4D CT image data sequences. Virtual patient models are visualized in real-time by ray casting based rendering of a reference CT image warped by a time-variant displacement field, which is computed using the motion models at run-time. Furthermore, haptic interaction with the animated virtual patient models is provided by using the displacements computed at high rendering rates to translate the position of the haptic device into the space of the reference CT image. This concept is applied to virtual palpation and the haptic simulation of insertion of a virtual bendable needle. To this aim, different motion models that are applicable in real-time are presented and the methods are integrated into a needle puncture training simulation framework, which can be used for simulated biopsy or vessel puncture in the liver. To confirm real-time applicability, a performance analysis of the resulting framework is given. It is shown that the presented methods achieve mean update rates around 2,000 Hz for haptic simulation and interactive frame rates for volume rendering and thus are well suited for visuo-haptic rendering of virtual patients under respiratory motion.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This article presents methods for direct visuo-haptic 4D volume rendering of virtual patient models under respiratory motion. Breathing models are computed based on patient-specific 4D CT image data sequences. Virtual patient models are visualized in real-time by ray casting based rendering of a reference CT image warped by a time-variant displacement field, which is computed using the motion models at run-time. Furthermore, haptic interaction with the animated virtual patient models is provided by using the displacements computed at high rendering rates to translate the position of the haptic device into the space of the reference CT image. This concept is applied to virtual palpation and the haptic simulation of insertion of a virtual bendable needle. To this aim, different motion models that are applicable in real-time are presented and the methods are integrated into a needle puncture training simulation framework, which can be used for simulated biopsy or vessel puncture in the liver. To confirm real-time applicability, a performance analysis of the resulting framework is given. It is shown that the presented methods achieve mean update rates around 2,000 Hz for haptic simulation and interactive frame rates for volume rendering and thus are well suited for visuo-haptic rendering of virtual patients under respiratory motion.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This article presents methods for direct visuo-haptic 4D volume rendering of virtual patient models under respiratory motion. Breathing models are computed based on patient-specific 4D CT image data sequences. Virtual patient models are visualized in real-time by ray casting based rendering of a reference CT image warped by a time-variant displacement field, which is computed using the motion models at run-time. Furthermore, haptic interaction with the animated virtual patient models is provided by using the displacements computed at high rendering rates to translate the position of the haptic device into the space of the reference CT image. This concept is applied to virtual palpation and the haptic simulation of insertion of a virtual bendable needle. To this aim, different motion models that are applicable in real-time are presented and the methods are integrated into a needle puncture training simulation framework, which can be used for simulated biopsy or vessel puncture in the liver. To confirm real-time applicability, a performance analysis of the resulting framework is given. It is shown that the presented methods achieve mean update rates around 2,000 Hz for haptic simulation and interactive frame rates for volume rendering and thus are well suited for visuo-haptic rendering of virtual patients under respiratory motion.",
"title": "Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion Models",
"normalizedTitle": "Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion Models",
"fno": "07124506",
"hasPdf": true,
"idPrefix": "th",
"keywords": [
"Haptic Interfaces",
"Rendering Computer Graphics",
"Computational Modeling",
"Solid Modeling",
"Breathing",
"Computed Tomography",
"Needle Insertion Simulation",
"Visuo Haptics",
"Volume Rendering",
"Breathing Motion"
],
"authors": [
{
"givenName": "Dirk",
"surname": "Fortmeier",
"fullName": "Dirk Fortmeier",
"affiliation": "Institute of Medical Informatics and the Graduate School for Computing in Medicine and Life Sciences, University of Lübeck, Lübeck, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Matthias",
"surname": "Wilms",
"fullName": "Matthias Wilms",
"affiliation": "Institute of Medical Informatics, University of Lübeck, Lübeck, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Andre",
"surname": "Mastmeyer",
"fullName": "Andre Mastmeyer",
"affiliation": "Institute of Medical Informatics, University of Lübeck, Lübeck, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Heinz",
"surname": "Handels",
"fullName": "Heinz Handels",
"affiliation": "Institute of Medical Informatics, University of Lübeck, Lübeck, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2015-10-01 00:00:00",
"pubType": "trans",
"pages": "371-383",
"year": "2015",
"issn": "1939-1412",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/cw/2012/4814/0/4814a157",
"title": "Stable Dynamic Algorithm Based on Virtual Coupling for 6-DOF Haptic Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2012/4814a157/12OmNqJ8tk6",
"parentPublication": {
"id": "proceedings/cw/2012/4814/0",
"title": "2012 International Conference on Cyberworlds",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2007/3005/0/30050003",
"title": "Visuo-Haptic Interface for Hair",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2007/30050003/12OmNwEJ12y",
"parentPublication": {
"id": "proceedings/cw/2007/3005/0",
"title": "2007 International Conference on Cyberworlds (CW'07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2000/0478/0/04780233",
"title": "Visuo-Haptic Display Using Head-Mounted Projector",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2000/04780233/12OmNwHz00K",
"parentPublication": {
"id": "proceedings/vr/2000/0478/0",
"title": "Virtual Reality Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/haptics/2010/6821/0/05444648",
"title": "Haptic interaction with volumetric datasets using surface-based haptic libraries",
"doi": null,
"abstractUrl": "/proceedings-article/haptics/2010/05444648/12OmNynJMXF",
"parentPublication": {
"id": "proceedings/haptics/2010/6821/0",
"title": "2010 IEEE Haptics Symposium (Formerly known as Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2016/03/07457306",
"title": "A Multi-User Surface Visuo-Haptic Display Using Electrostatic Friction Modulation and Capacitive-Type Position Sensing",
"doi": null,
"abstractUrl": "/journal/th/2016/03/07457306/13rRUEgarnS",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2011/04/tth2011040321",
"title": "Collocation Accuracy of Visuo-Haptic System: Metrics and Calibration",
"doi": null,
"abstractUrl": "/journal/th/2011/04/tth2011040321/13rRUxASuhM",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/01/ttg2013010159",
"title": "Visuo-Haptic Mixed Reality with Unobstructed Tool-Hand Integration",
"doi": null,
"abstractUrl": "/journal/tg/2013/01/ttg2013010159/13rRUyeTVi1",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2022/5325/0/532500a422",
"title": "An Object Synthesis Method to Enhance Visuo-Haptic Consistency",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2022/532500a422/1JrRgd8SQ6c",
"parentPublication": {
"id": "proceedings/ismar/2022/5325/0",
"title": "2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08798195",
"title": "fARFEEL: Providing Haptic Sensation of Touched Objects Using Visuo-Haptic Feedback",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798195/1cJ18nc5sys",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/07/09273221",
"title": "Crowd Navigation in VR: Exploring Haptic Rendering of Collisions",
"doi": null,
"abstractUrl": "/journal/tg/2022/07/09273221/1pb9BhAe16o",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07109928",
"articleId": "13rRUyfbwqT",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07124519",
"articleId": "13rRUxC0SWk",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXFgEo",
"name": "tth201504-07124506s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/tth201504-07124506s1.zip",
"extension": "zip",
"size": "32.5 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwFid7a",
"title": "April",
"year": "2003",
"issueNum": "04",
"idPrefix": "tp",
"pubType": "journal",
"volume": "25",
"label": "April",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwbs2hs",
"doi": "10.1109/TPAMI.2003.1190574",
"abstract": "Abstract—We address the problem of perceptual grouping from motion cues by formulating it as a motion layers inference from a sparse and noisy point set in a 4D space. Our approach is based on a layered 4D representation of data, and a voting scheme for token communication, within a tensor voting computational framework. Given two sparse sets of point tokens, the image position and potential velocity of each token are encoded into a 4D tensor. By enforcing the smoothness of motion through a voting process, the correct velocity is selected for each input point as the most salient token. An additional dense voting step allows for the inference of a dense representation in terms of pixel velocities, motion regions, and boundaries. Using a 4D space for this tensor voting approach is essential since it allows for a spatial separation of the points according to both their velocities and image coordinates. Unlike most other methods that optimize certain objective functions, our approach is noniterative and, therefore, does not suffer from local optima or poor convergence problems. We demonstrate our method with synthetic and real images, by analyzing several difficult cases—opaque and transparent motion, rigid and nonrigid motion, curves and surfaces in motion.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Abstract—We address the problem of perceptual grouping from motion cues by formulating it as a motion layers inference from a sparse and noisy point set in a 4D space. Our approach is based on a layered 4D representation of data, and a voting scheme for token communication, within a tensor voting computational framework. Given two sparse sets of point tokens, the image position and potential velocity of each token are encoded into a 4D tensor. By enforcing the smoothness of motion through a voting process, the correct velocity is selected for each input point as the most salient token. An additional dense voting step allows for the inference of a dense representation in terms of pixel velocities, motion regions, and boundaries. Using a 4D space for this tensor voting approach is essential since it allows for a spatial separation of the points according to both their velocities and image coordinates. Unlike most other methods that optimize certain objective functions, our approach is noniterative and, therefore, does not suffer from local optima or poor convergence problems. We demonstrate our method with synthetic and real images, by analyzing several difficult cases—opaque and transparent motion, rigid and nonrigid motion, curves and surfaces in motion.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Abstract—We address the problem of perceptual grouping from motion cues by formulating it as a motion layers inference from a sparse and noisy point set in a 4D space. Our approach is based on a layered 4D representation of data, and a voting scheme for token communication, within a tensor voting computational framework. Given two sparse sets of point tokens, the image position and potential velocity of each token are encoded into a 4D tensor. By enforcing the smoothness of motion through a voting process, the correct velocity is selected for each input point as the most salient token. An additional dense voting step allows for the inference of a dense representation in terms of pixel velocities, motion regions, and boundaries. Using a 4D space for this tensor voting approach is essential since it allows for a spatial separation of the points according to both their velocities and image coordinates. Unlike most other methods that optimize certain objective functions, our approach is noniterative and, therefore, does not suffer from local optima or poor convergence problems. We demonstrate our method with synthetic and real images, by analyzing several difficult cases—opaque and transparent motion, rigid and nonrigid motion, curves and surfaces in motion.",
"title": "Layered 4D Representation and Voting for Grouping from Motion",
"normalizedTitle": "Layered 4D Representation and Voting for Grouping from Motion",
"fno": "i0492",
"hasPdf": true,
"idPrefix": "tp",
"keywords": [
"Motion Analysis",
"Perceptual Grouping",
"Tensor Voting"
],
"authors": [
{
"givenName": "Mircea",
"surname": "Nicolescu",
"fullName": "Mircea Nicolescu",
"affiliation": "IEEE Computer Society",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Gérard",
"surname": "Medioni",
"fullName": "Gérard Medioni",
"affiliation": "IEEE",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2003-04-01 00:00:00",
"pubType": "trans",
"pages": "492-501",
"year": "2003",
"issn": "0162-8828",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "i0475",
"articleId": "13rRUwh80Cu",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "i0502",
"articleId": "13rRUwkfB0i",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAle6Qx",
"title": "November/December",
"year": "2007",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "13",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwcAqq9",
"doi": "10.1109/TVCG.2007.70593",
"abstract": "Just as we can work with two-dimensional floor plans to communicate 3D architectural design, we can exploit reduced-dimension shadows to manipulate the higher-dimensional objects generating the shadows. In particular, by taking advantage of physically reactive 3D shadow-space controllers, we can transform the task of interacting with 4D objects to a new level of physical reality. We begin with a teaching tool that uses 2D knot diagrams to manipulate the geometry of 3D mathematical knots via their projections; our unique 2D haptic interface allows the user to become familiar with sketching, editing, exploration, and manipulation of 3D knots rendered as projected imageson a 2D shadow space. By combining graphics and collision-sensing haptics, we can enhance the 2D shadow-driven editing protocol to successfully leverage 2D pen-and-paper or blackboard skills. Building on the reduced-dimension 2D editing tool for manipulating 3D shapes, we develop the natural analogy to produce a reduced-dimension 3D tool for manipulating 4D shapes. By physically modeling the correct properties of 4D surfaces, their bending forces, and their collisions in the 3D haptic controller interface, we can support full-featured physical exploration of 4D mathematical objects in a manner that is otherwise far beyond the experience accessible to human beings. As far as we are aware, this paper reports the first interactive system with force-feedback that provides \"4D haptic visualization\" permitting the user to model and interact with 4D cloth-like objects.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Just as we can work with two-dimensional floor plans to communicate 3D architectural design, we can exploit reduced-dimension shadows to manipulate the higher-dimensional objects generating the shadows. In particular, by taking advantage of physically reactive 3D shadow-space controllers, we can transform the task of interacting with 4D objects to a new level of physical reality. We begin with a teaching tool that uses 2D knot diagrams to manipulate the geometry of 3D mathematical knots via their projections; our unique 2D haptic interface allows the user to become familiar with sketching, editing, exploration, and manipulation of 3D knots rendered as projected imageson a 2D shadow space. By combining graphics and collision-sensing haptics, we can enhance the 2D shadow-driven editing protocol to successfully leverage 2D pen-and-paper or blackboard skills. Building on the reduced-dimension 2D editing tool for manipulating 3D shapes, we develop the natural analogy to produce a reduced-dimension 3D tool for manipulating 4D shapes. By physically modeling the correct properties of 4D surfaces, their bending forces, and their collisions in the 3D haptic controller interface, we can support full-featured physical exploration of 4D mathematical objects in a manner that is otherwise far beyond the experience accessible to human beings. As far as we are aware, this paper reports the first interactive system with force-feedback that provides \"4D haptic visualization\" permitting the user to model and interact with 4D cloth-like objects.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Just as we can work with two-dimensional floor plans to communicate 3D architectural design, we can exploit reduced-dimension shadows to manipulate the higher-dimensional objects generating the shadows. In particular, by taking advantage of physically reactive 3D shadow-space controllers, we can transform the task of interacting with 4D objects to a new level of physical reality. We begin with a teaching tool that uses 2D knot diagrams to manipulate the geometry of 3D mathematical knots via their projections; our unique 2D haptic interface allows the user to become familiar with sketching, editing, exploration, and manipulation of 3D knots rendered as projected imageson a 2D shadow space. By combining graphics and collision-sensing haptics, we can enhance the 2D shadow-driven editing protocol to successfully leverage 2D pen-and-paper or blackboard skills. Building on the reduced-dimension 2D editing tool for manipulating 3D shapes, we develop the natural analogy to produce a reduced-dimension 3D tool for manipulating 4D shapes. By physically modeling the correct properties of 4D surfaces, their bending forces, and their collisions in the 3D haptic controller interface, we can support full-featured physical exploration of 4D mathematical objects in a manner that is otherwise far beyond the experience accessible to human beings. As far as we are aware, this paper reports the first interactive system with force-feedback that provides \"4D haptic visualization\" permitting the user to model and interact with 4D cloth-like objects.",
"title": "Shadow-Driven 4D Haptic Visualization",
"normalizedTitle": "Shadow-Driven 4D Haptic Visualization",
"fno": "v1688",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Haptic Interfaces",
"Visualization",
"Shape",
"Floors",
"Education",
"Geometry",
"Rendering Computer Graphics",
"Graphics",
"Protocols",
"Mathematical Model",
"Knot Theory",
"Haptics",
"Visualization"
],
"authors": [
{
"givenName": "Hui",
"surname": "Zhang",
"fullName": "Hui Zhang",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Andrew",
"surname": "Hanson",
"fullName": "Andrew Hanson",
"affiliation": "IEEE",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2007-11-01 00:00:00",
"pubType": "trans",
"pages": "1688-1695",
"year": "2007",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/haptic/2006/0226/0/01627126",
"title": "Haptic Force Shading Parameter Effects on Path Tracing Accuracy",
"doi": null,
"abstractUrl": "/proceedings-article/haptic/2006/01627126/12OmNqI04FQ",
"parentPublication": {
"id": "proceedings/haptic/2006/0226/0",
"title": "Haptic Interfaces for Virtual Environment and Teleoperator Systems, International Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ism/2015/0379/0/0379a013",
"title": "Development of a Web-Based Haptic Authoring Tool for Multimedia Applications",
"doi": null,
"abstractUrl": "/proceedings-article/ism/2015/0379a013/12OmNvsDHHt",
"parentPublication": {
"id": "proceedings/ism/2015/0379/0",
"title": "2015 IEEE International Symposium on Multimedia (ISM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/1999/0234/0/02340029",
"title": "Development of Stereoscopic-Haptic Virtual Environments",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/1999/02340029/12OmNwHz090",
"parentPublication": {
"id": "proceedings/cbms/1999/0234/0",
"title": "Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/whc/2007/2738/0/27380261",
"title": "Design and Psychophysical Study of Volume Compression for Haptic Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/whc/2007/27380261/12OmNy6ZrWt",
"parentPublication": {
"id": "proceedings/whc/2007/2738/0",
"title": "2007 2nd Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environments and Teleoperator Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2013/2246/0/2246a286",
"title": "Image-Driven Haptic Rendering in Virtual Environments",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2013/2246a286/12OmNyuy9Q9",
"parentPublication": {
"id": "proceedings/cw/2013/2246/0",
"title": "2013 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/achi/2009/3529/0/3529a187",
"title": "Efficient Collision Algorithm for the 3D Haptic Interaction with Solid Organs in Medical Environments",
"doi": null,
"abstractUrl": "/proceedings-article/achi/2009/3529a187/12OmNzQzqgX",
"parentPublication": {
"id": "proceedings/achi/2009/3529/0",
"title": "International Conference on Advances in Computer-Human Interaction",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/01532804",
"title": "Multimodal exploration of the fourth dimension",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/01532804/12OmNzmclAo",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2015/04/07124506",
"title": "Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion Models",
"doi": null,
"abstractUrl": "/journal/th/2015/04/07124506/13rRUwInvfi",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009061587",
"title": "GL4D: A GPU-based Architecture for Interactive 4D Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009061587/13rRUwjoNwY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2022/0915/0/091500a628",
"title": "Shadow Art Revisited: A Differentiable Rendering Based Approach",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2022/091500a628/1B12RNuAqvS",
"parentPublication": {
"id": "proceedings/wacv/2022/0915/0",
"title": "2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "v1680",
"articleId": "13rRUxYIN42",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "v1696",
"articleId": "13rRUNvyakE",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwudQUo",
"title": "March",
"year": "2017",
"issueNum": "03",
"idPrefix": "tg",
"pubType": "journal",
"volume": "23",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxAASVZ",
"doi": "10.1109/TVCG.2016.2605083",
"abstract": "The motion of a thin viscous film of fluid on a curved surface exhibits many intricate visual phenomena, which are challenging to simulate using existing techniques. A possible alternative is to use a reduced model, involving only the temporal evolution of the mass density of the film on the surface. However, in this model, the motion is governed by a fourth-order nonlinear PDE, which involves geometric quantities such as the curvature of the underlying surface, and is therefore difficult to discretize. Inspired by a recent variational formulation for this problem on smooth surfaces, we present a corresponding model for triangle meshes. We provide a discretization for the curvature and advection operators which leads to an efficient and stable numerical scheme, requires a single sparse linear solve per time step, and exactly preserves the total volume of the fluid. We validate our method by qualitatively comparing to known results from the literature, and demonstrate various intricate effects achievable by our method, such as droplet formation, evaporation, droplets interaction and viscous fingering. Finally, we extend our method to incorporate non-linear van der Waals forcing terms which stabilize the motion of the film and allow additional effects such as pearling.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The motion of a thin viscous film of fluid on a curved surface exhibits many intricate visual phenomena, which are challenging to simulate using existing techniques. A possible alternative is to use a reduced model, involving only the temporal evolution of the mass density of the film on the surface. However, in this model, the motion is governed by a fourth-order nonlinear PDE, which involves geometric quantities such as the curvature of the underlying surface, and is therefore difficult to discretize. Inspired by a recent variational formulation for this problem on smooth surfaces, we present a corresponding model for triangle meshes. We provide a discretization for the curvature and advection operators which leads to an efficient and stable numerical scheme, requires a single sparse linear solve per time step, and exactly preserves the total volume of the fluid. We validate our method by qualitatively comparing to known results from the literature, and demonstrate various intricate effects achievable by our method, such as droplet formation, evaporation, droplets interaction and viscous fingering. Finally, we extend our method to incorporate non-linear van der Waals forcing terms which stabilize the motion of the film and allow additional effects such as pearling.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The motion of a thin viscous film of fluid on a curved surface exhibits many intricate visual phenomena, which are challenging to simulate using existing techniques. A possible alternative is to use a reduced model, involving only the temporal evolution of the mass density of the film on the surface. However, in this model, the motion is governed by a fourth-order nonlinear PDE, which involves geometric quantities such as the curvature of the underlying surface, and is therefore difficult to discretize. Inspired by a recent variational formulation for this problem on smooth surfaces, we present a corresponding model for triangle meshes. We provide a discretization for the curvature and advection operators which leads to an efficient and stable numerical scheme, requires a single sparse linear solve per time step, and exactly preserves the total volume of the fluid. We validate our method by qualitatively comparing to known results from the literature, and demonstrate various intricate effects achievable by our method, such as droplet formation, evaporation, droplets interaction and viscous fingering. Finally, we extend our method to incorporate non-linear van der Waals forcing terms which stabilize the motion of the film and allow additional effects such as pearling.",
"title": "Functional Thin Films on Surfaces",
"normalizedTitle": "Functional Thin Films on Surfaces",
"fno": "07558232",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Mathematical Model",
"Computational Modeling",
"Lubrication",
"Gravity",
"Solid Modeling",
"Visualization",
"Animation",
"Computer Graphics",
"Three Dimensional Graphics And Realism"
],
"authors": [
{
"givenName": "Orestis",
"surname": "Vantzos",
"fullName": "Orestis Vantzos",
"affiliation": "Computer Science Department, Technion—Israel Institute of Technology, Haifa, Israel",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Omri",
"surname": "Azencot",
"fullName": "Omri Azencot",
"affiliation": "Computer Science Department, Technion—Israel Institute of Technology, Haifa, Israel",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Max",
"surname": "Wardeztky",
"fullName": "Max Wardeztky",
"affiliation": "Institute of Numerical and Applied Mathematics, University of Göttingen, Göttingen, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Martin",
"surname": "Rumpf",
"fullName": "Martin Rumpf",
"affiliation": "Institute of Numerical Simulation, University of Bonn, Bonn, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Mirela",
"surname": "Ben-Chen",
"fullName": "Mirela Ben-Chen",
"affiliation": "Computer Science Department, Technion—Israel Institute of Technology, Haifa, Israel",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2017-03-01 00:00:00",
"pubType": "trans",
"pages": "1179-1192",
"year": "2017",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/bibe/2012/4357/0/06399741",
"title": "Atomic Force Microscopy surface nanocharacterization of UV-irradiated collagen thin films",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2012/06399741/12OmNAGepVv",
"parentPublication": {
"id": "proceedings/bibe/2012/4357/0",
"title": "2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/1990/2057/0/00139535",
"title": "Determining back-facing curved model surfaces by analysis at the boundary",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/1990/00139535/12OmNBcj5Cm",
"parentPublication": {
"id": "proceedings/iccv/1990/2057/0",
"title": "Proceedings Third International Conference on Computer Vision",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ewdts/2017/3299/0/08110054",
"title": "Electrical, dielectric and structural characterization of nickel ferrite films for thin film electronic applications",
"doi": null,
"abstractUrl": "/proceedings-article/ewdts/2017/08110054/12OmNrMHOf5",
"parentPublication": {
"id": "proceedings/ewdts/2017/3299/0",
"title": "2017 IEEE East-West Design & Test Symposium (EWDTS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/1988/0862/0/00196262",
"title": "Motion analysis of nonrigid surfaces",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/1988/00196262/12OmNscxj8t",
"parentPublication": {
"id": "proceedings/cvpr/1988/0862/0",
"title": "Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vtsa/1989/9999/0/00068588",
"title": "Investigation on the flow properties of BPSG films",
"doi": null,
"abstractUrl": "/proceedings-article/vtsa/1989/00068588/12OmNwp74Hl",
"parentPublication": {
"id": "proceedings/vtsa/1989/9999/0",
"title": "International Symposium on VLSI Technology, Systems and Applications,",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isot/2014/6752/0/07119393",
"title": "Recent Development of Using Optical Methods to Measure the Mechanical Properties of Thin Films",
"doi": null,
"abstractUrl": "/proceedings-article/isot/2014/07119393/12OmNx9nGGj",
"parentPublication": {
"id": "proceedings/isot/2014/6752/0",
"title": "2014 International Symposium on Optomechatronic Technologies (ISOT 2014)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acomp/2015/8234/0/8234a112",
"title": "A New Hllem-Type Riemann Solver for Compressible Multi-phase Flows with Surface Tension",
"doi": null,
"abstractUrl": "/proceedings-article/acomp/2015/8234a112/12OmNzWx02Y",
"parentPublication": {
"id": "proceedings/acomp/2015/8234/0",
"title": "2015 International Conference on Advanced Computing and Applications (ACOMP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/1997/06/mcg1997060088",
"title": "The Curvature of Characteristic Curves on Surfaces",
"doi": null,
"abstractUrl": "/magazine/cg/1997/06/mcg1997060088/13rRUxNmPGe",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iscer/2022/8478/0/847800a143",
"title": "Research on bearing oil film condition monitoring based on acoustic emission parameters",
"doi": null,
"abstractUrl": "/proceedings-article/iscer/2022/847800a143/1HbbynUC2ze",
"parentPublication": {
"id": "proceedings/iscer/2022/8478/0",
"title": "2022 International Symposium on Control Engineering and Robotics (ISCER)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisce/2019/3681/0/368100a704",
"title": "Numerical Simulation and Analysis of Growth Rate of GaN Thin Films",
"doi": null,
"abstractUrl": "/proceedings-article/cisce/2019/368100a704/1cI5ZDDZlCg",
"parentPublication": {
"id": "proceedings/cisce/2019/3681/0",
"title": "2019 International Conference on Communications, Information System and Computer Engineering (CISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07742381",
"articleId": "13rRUxC0SvZ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07487018",
"articleId": "13rRUxASuhF",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTYesQe",
"name": "ttg201703-07558232s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg201703-07558232s1.zip",
"extension": "zip",
"size": "293 kB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBCZnUs",
"title": "March",
"year": "2020",
"issueNum": "03",
"idPrefix": "tg",
"pubType": "journal",
"volume": "26",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "14gwrq0I1sk",
"doi": "10.1109/TVCG.2018.2872961",
"abstract": "The research on massive open online courses (MOOCs) data analytics has mushroomed recently because of the rapid development of MOOCs. The MOOC data not only contains learner profiles and learning outcomes, but also sequential information about when and which type of learning activities each learner performs, such as reviewing a lecture video before undertaking an assignment. Learning sequence analytics could help understand the correlations between learning sequences and performances, which further characterize different learner groups. However, few works have explored the sequence of learning activities, which have mostly been considered aggregated events. A visual analytics system called ViSeq is introduced to resolve the loss of sequential information, to visualize the learning sequence of different learner groups, and to help better understand the reasons behind the learning behaviors. The system facilitates users in exploring learning sequences from multiple levels of granularity. ViSeq incorporates four linked views: the projection view to identify learner groups, the pattern view to exhibit overall sequential patterns within a selected group, the sequence view to illustrate the transitions between consecutive events, and the individual view with an augmented sequence chain to compare selected personal learning sequences. Case studies and expert interviews were conducted to evaluate the system.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The research on massive open online courses (MOOCs) data analytics has mushroomed recently because of the rapid development of MOOCs. The MOOC data not only contains learner profiles and learning outcomes, but also sequential information about when and which type of learning activities each learner performs, such as reviewing a lecture video before undertaking an assignment. Learning sequence analytics could help understand the correlations between learning sequences and performances, which further characterize different learner groups. However, few works have explored the sequence of learning activities, which have mostly been considered aggregated events. A visual analytics system called ViSeq is introduced to resolve the loss of sequential information, to visualize the learning sequence of different learner groups, and to help better understand the reasons behind the learning behaviors. The system facilitates users in exploring learning sequences from multiple levels of granularity. ViSeq incorporates four linked views: the projection view to identify learner groups, the pattern view to exhibit overall sequential patterns within a selected group, the sequence view to illustrate the transitions between consecutive events, and the individual view with an augmented sequence chain to compare selected personal learning sequences. Case studies and expert interviews were conducted to evaluate the system.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The research on massive open online courses (MOOCs) data analytics has mushroomed recently because of the rapid development of MOOCs. The MOOC data not only contains learner profiles and learning outcomes, but also sequential information about when and which type of learning activities each learner performs, such as reviewing a lecture video before undertaking an assignment. Learning sequence analytics could help understand the correlations between learning sequences and performances, which further characterize different learner groups. However, few works have explored the sequence of learning activities, which have mostly been considered aggregated events. A visual analytics system called ViSeq is introduced to resolve the loss of sequential information, to visualize the learning sequence of different learner groups, and to help better understand the reasons behind the learning behaviors. The system facilitates users in exploring learning sequences from multiple levels of granularity. ViSeq incorporates four linked views: the projection view to identify learner groups, the pattern view to exhibit overall sequential patterns within a selected group, the sequence view to illustrate the transitions between consecutive events, and the individual view with an augmented sequence chain to compare selected personal learning sequences. Case studies and expert interviews were conducted to evaluate the system.",
"title": "ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses",
"normalizedTitle": "ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses",
"fno": "08477163",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Computer Aided Instruction",
"Data Analysis",
"Data Visualisation",
"Educational Courses",
"MOOC Data",
"Massive Open Online Courses Data Analytics",
"Personal Learning Sequences",
"Augmented Sequence Chain",
"Learning Behaviors",
"Learning Sequence",
"Vi Seq",
"Visual Analytics System",
"Sequence Analytics",
"Sequential Information",
"Data Visualization",
"Education",
"Data Mining",
"Visual Analytics",
"Data Analysis",
"Correlation",
"MOOC",
"Online Education",
"Visual Learning Analytics",
"Event Sequence Visualization"
],
"authors": [
{
"givenName": "Qing",
"surname": "Chen",
"fullName": "Qing Chen",
"affiliation": "Hong Kong University of Science and Technology, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xuanwu",
"surname": "Yue",
"fullName": "Xuanwu Yue",
"affiliation": "Hong Kong University of Science and Technology, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xavier",
"surname": "Plantaz",
"fullName": "Xavier Plantaz",
"affiliation": "Hong Kong University of Science and Technology, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Yuanzhe",
"surname": "Chen",
"fullName": "Yuanzhe Chen",
"affiliation": "Hong Kong University of Science and Technology, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Conglei",
"surname": "Shi",
"fullName": "Conglei Shi",
"affiliation": "Airbnb Inc., San Francisco, CA, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ting-Chuen",
"surname": "Pong",
"fullName": "Ting-Chuen Pong",
"affiliation": "Hong Kong University of Science and Technology, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Huamin",
"surname": "Qu",
"fullName": "Huamin Qu",
"affiliation": "Hong Kong University of Science and Technology, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2020-03-01 00:00:00",
"pubType": "trans",
"pages": "1622-1636",
"year": "2020",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/fie/2017/5920/0/08190588",
"title": "Massive open online courses in software engineering education",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2017/08190588/12OmNwcUk0n",
"parentPublication": {
"id": "proceedings/fie/2017/5920/0",
"title": "2017 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2015/6879/0/07156373",
"title": "VisMOOC: Visualizing video clickstream data from Massive Open Online Courses",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2015/07156373/12OmNxEBzlW",
"parentPublication": {
"id": "proceedings/pacificvis/2015/6879/0",
"title": "2015 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ictai/2017/3876/0/387601a231",
"title": "Massive Open Online Courses Temporal Profiling for Dropout Prediction",
"doi": null,
"abstractUrl": "/proceedings-article/ictai/2017/387601a231/12OmNyUWQXF",
"parentPublication": {
"id": "proceedings/ictai/2017/3876/0",
"title": "2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/eitt/2017/0629/0/0629a293",
"title": "Gamification in Massive Open Online Courses (MOOCs) to Support Chinese Language Learning",
"doi": null,
"abstractUrl": "/proceedings-article/eitt/2017/0629a293/12OmNzRZq1l",
"parentPublication": {
"id": "proceedings/eitt/2017/0629/0",
"title": "2017 International Conference of Educational Innovation through Technology (EITT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2016/5661/0/07883517",
"title": "DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2016/07883517/12OmNzZmZrv",
"parentPublication": {
"id": "proceedings/vast/2016/5661/0",
"title": "2016 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/10/07346501",
"title": "PeakVizor: Visual Analytics of Peaks in Video Clickstreams from Massive Open Online Courses",
"doi": null,
"abstractUrl": "/journal/tg/2016/10/07346501/13rRUILtJme",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2015/06/mcg2015060069",
"title": "Visual Analytics for MOOC Data",
"doi": null,
"abstractUrl": "/magazine/cg/2015/06/mcg2015060069/13rRUwInvMP",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csde/2021/9552/0/09718478",
"title": "Measuring The Success of Massive Open Online Courses: A Mixed-Method Case Study",
"doi": null,
"abstractUrl": "/proceedings-article/csde/2021/09718478/1BogRZX0tSE",
"parentPublication": {
"id": "proceedings/csde/2021/9552/0",
"title": "2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2020/6090/0/09155902",
"title": "Success Indicators for Massive Open Online Courses (MOOCs)",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2020/09155902/1m1j5K80m8U",
"parentPublication": {
"id": "proceedings/icalt/2020/6090/0",
"title": "2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icbaie/2020/6499/0/09196495",
"title": "Exploring the Determinants of Massive Open Online Courses Reusage Intention in Humanities",
"doi": null,
"abstractUrl": "/proceedings-article/icbaie/2020/09196495/1n90YO2yWhG",
"parentPublication": {
"id": "proceedings/icbaie/2020/6499/0",
"title": "2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08481564",
"articleId": "146z4OQdyi9",
"__typename": "AdjacentArticleType"
},
"next": null,
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1i57vw2HvDa",
"name": "ttg202003-08477163s1.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202003-08477163s1.mp4",
"extension": "mp4",
"size": "27.8 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNx8fif0",
"title": "Sept.",
"year": "2017",
"issueNum": "09",
"idPrefix": "tg",
"pubType": "journal",
"volume": "23",
"label": "Sept.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUIM2VH4",
"doi": "10.1109/TVCG.2016.2607204",
"abstract": "Data ensembles are often used to infer statistics to be used for a summary display of an uncertain prediction. In a spatial context, these summary displays have the drawback that when uncertainty is encoded via a spatial spread, display glyph area increases in size with prediction uncertainty. This increase can be easily confounded with an increase in the size, strength or other attribute of the phenomenon being presented. We argue that by directly displaying a carefully chosen subset of a prediction ensemble, so that uncertainty is conveyed implicitly, such misinterpretations can be avoided. Since such a display does not require uncertainty annotation, an information channel remains available for encoding additional information about the prediction. We demonstrate these points in the context of hurricane prediction visualizations, showing how we avoid occlusion of selected ensemble elements while preserving the spatial statistics of the original ensemble, and how an explicit encoding of uncertainty can also be constructed from such a selection. We conclude with the results of a cognitive experiment demonstrating that the approach can be used to construct storm prediction displays that significantly reduce the confounding of uncertainty with storm size, and thus improve viewers’ ability to estimate potential for storm damage.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Data ensembles are often used to infer statistics to be used for a summary display of an uncertain prediction. In a spatial context, these summary displays have the drawback that when uncertainty is encoded via a spatial spread, display glyph area increases in size with prediction uncertainty. This increase can be easily confounded with an increase in the size, strength or other attribute of the phenomenon being presented. We argue that by directly displaying a carefully chosen subset of a prediction ensemble, so that uncertainty is conveyed implicitly, such misinterpretations can be avoided. Since such a display does not require uncertainty annotation, an information channel remains available for encoding additional information about the prediction. We demonstrate these points in the context of hurricane prediction visualizations, showing how we avoid occlusion of selected ensemble elements while preserving the spatial statistics of the original ensemble, and how an explicit encoding of uncertainty can also be constructed from such a selection. We conclude with the results of a cognitive experiment demonstrating that the approach can be used to construct storm prediction displays that significantly reduce the confounding of uncertainty with storm size, and thus improve viewers’ ability to estimate potential for storm damage.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Data ensembles are often used to infer statistics to be used for a summary display of an uncertain prediction. In a spatial context, these summary displays have the drawback that when uncertainty is encoded via a spatial spread, display glyph area increases in size with prediction uncertainty. This increase can be easily confounded with an increase in the size, strength or other attribute of the phenomenon being presented. We argue that by directly displaying a carefully chosen subset of a prediction ensemble, so that uncertainty is conveyed implicitly, such misinterpretations can be avoided. Since such a display does not require uncertainty annotation, an information channel remains available for encoding additional information about the prediction. We demonstrate these points in the context of hurricane prediction visualizations, showing how we avoid occlusion of selected ensemble elements while preserving the spatial statistics of the original ensemble, and how an explicit encoding of uncertainty can also be constructed from such a selection. We conclude with the results of a cognitive experiment demonstrating that the approach can be used to construct storm prediction displays that significantly reduce the confounding of uncertainty with storm size, and thus improve viewers’ ability to estimate potential for storm damage.",
"title": "Uncertainty Visualization by Representative Sampling from Prediction Ensembles",
"normalizedTitle": "Uncertainty Visualization by Representative Sampling from Prediction Ensembles",
"fno": "07563342",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Uncertainty",
"Hurricanes",
"Storms",
"Data Visualization",
"Visualization",
"Predictive Models",
"Numerical Models",
"Implicit Uncertainty Presentation",
"Ensembles",
"Ensemble Visualization",
"Sampling",
"Uncertainty",
"Hurricane Prediction"
],
"authors": [
{
"givenName": "Le",
"surname": "Liu",
"fullName": "Le Liu",
"affiliation": "Clemson University, Clemson, SC, 29672",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Alexander P.",
"surname": "Boone",
"fullName": "Alexander P. Boone",
"affiliation": "Department of Psychological & Brain Sciences, University of California, Santa Barbara, CA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ian T.",
"surname": "Ruginski",
"fullName": "Ian T. Ruginski",
"affiliation": "Department of Psychology, University of Utah, Salt Lake City, UT",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Lace",
"surname": "Padilla",
"fullName": "Lace Padilla",
"affiliation": "Department of Psychology, University of Utah, Salt Lake City, UT",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Mary",
"surname": "Hegarty",
"fullName": "Mary Hegarty",
"affiliation": "Department of Psychological & Brain Sciences, University of California, Santa Barbara, CA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Sarah H.",
"surname": "Creem-Regehr",
"fullName": "Sarah H. Creem-Regehr",
"affiliation": "Department of Psychology, University of Utah, Salt Lake City, UT",
"__typename": "ArticleAuthorType"
},
{
"givenName": "William B.",
"surname": "Thompson",
"fullName": "William B. Thompson",
"affiliation": "School of Computing, University of Utah, Salt Lake City, UT",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Cem",
"surname": "Yuksel",
"fullName": "Cem Yuksel",
"affiliation": "School of Computing, University of Utah, Salt Lake City, UT",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Donald H.",
"surname": "House",
"fullName": "Donald H. House",
"affiliation": "Clemson University, Clemson, SC, 29672",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "09",
"pubDate": "2017-09-01 00:00:00",
"pubType": "trans",
"pages": "2165-2178",
"year": "2017",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/hpcc-css-icess/2014/6123/0/07056753",
"title": "Improving the Scalability of a Hurricane Forecast System in Mixed-Parallel Environments",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-css-icess/2014/07056753/12OmNy68EBo",
"parentPublication": {
"id": "proceedings/hpcc-css-icess/2014/6123/0",
"title": "2014 IEEE International Conference on High Performance Computing and Communications (HPCC), 2014 IEEE 6th International Symposium on Cyberspace Safety and Security (CSS) and 2014 IEEE 11th International Conference on Embedded Software and Systems (ICESS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2009/3902/0/05360497",
"title": "Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2009/05360497/12OmNya72rr",
"parentPublication": {
"id": "proceedings/icdmw/2009/3902/0",
"title": "2009 IEEE International Conference on Data Mining Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2013/3142/0/3143a994",
"title": "Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2013/3143a994/12OmNzZWbJ9",
"parentPublication": {
"id": "proceedings/icdmw/2013/3142/0",
"title": "2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061421",
"title": "Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061421/13rRUILtJm4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122703",
"title": "Characterizing and Visualizing Predictive Uncertainty in Numerical Ensembles Through Bayesian Model Averaging",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122703/13rRUxC0SvV",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2015/09/07055260",
"title": "Uncertainty-Aware Multidimensional Ensemble Data Visualization and Exploration",
"doi": null,
"abstractUrl": "/journal/tg/2015/09/07055260/13rRUyuegp9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440052",
"title": "An Interactive Framework for Visualization of Weather Forecast Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440052/17D45XDIXW9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440837",
"title": "Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440837/17D45XeKgnt",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/04/09187994",
"title": "Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps",
"doi": null,
"abstractUrl": "/journal/tg/2022/04/09187994/1mXkiNpxvvq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis4dh/2021/1370/0/137000a012",
"title": "Uncertainty-aware Topic Modeling Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/vis4dh/2021/137000a012/1yNiG9yU9JS",
"parentPublication": {
"id": "proceedings/vis4dh/2021/1370/0",
"title": "2021 IEEE 6th Workshop on Visualization for the Digital Humanities (VIS4DH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07581076",
"articleId": "13rRUxYrbUN",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07570239",
"articleId": "13rRUB7a115",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTYet55",
"name": "ttg201709-07563342s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg201709-07563342s1.zip",
"extension": "zip",
"size": "28.4 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxvO04Q",
"title": "Jan.",
"year": "2017",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "23",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUx0xPTU",
"doi": "10.1109/TVCG.2016.2598869",
"abstract": "Uncertainty quantification in climate ensembles is an important topic for the domain scientists, especially for decision making in the real-world scenarios. With powerful computers, simulations now produce time-varying and multi-resolution ensemble data sets. It is of extreme importance to understand the model sensitivity given the input parameters such that more computation power can be allocated to the parameters with higher influence on the output. Also, when ensemble data is produced at different resolutions, understanding the accuracy of different resolutions helps the total time required to produce a desired quality solution with improved storage and computation cost. In this work, we propose to tackle these non-trivial problems on the Weather Research and Forecasting (WRF) model output. We employ a moment independent sensitivity measure to quantify and analyze parameter sensitivity across spatial regions and time domain. A comparison of clustering structures across three resolutions enables the users to investigate the sensitivity variation over the spatial regions of the five input parameters. The temporal trend in the sensitivity values is explored via an MDS view linked with a line chart for interactive brushing. The spatial and temporal views are connected to provide a full exploration system for complete spatio-temporal sensitivity analysis. To analyze the accuracy across varying resolutions, we formulate a Bayesian approach to identify which regions are better predicted at which resolutions compared to the observed precipitation. This information is aggregated over the time domain and finally encoded in an output image through a custom color map that guides the domain experts towards an adaptive grid implementation given a cost model. Users can select and further analyze the spatial and temporal error patterns for multi-resolution accuracy analysis via brushing and linking on the produced image. In this work, we collaborate with a domain expert whose feedback shows the effectiveness of our proposed exploration work-flow.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Uncertainty quantification in climate ensembles is an important topic for the domain scientists, especially for decision making in the real-world scenarios. With powerful computers, simulations now produce time-varying and multi-resolution ensemble data sets. It is of extreme importance to understand the model sensitivity given the input parameters such that more computation power can be allocated to the parameters with higher influence on the output. Also, when ensemble data is produced at different resolutions, understanding the accuracy of different resolutions helps the total time required to produce a desired quality solution with improved storage and computation cost. In this work, we propose to tackle these non-trivial problems on the Weather Research and Forecasting (WRF) model output. We employ a moment independent sensitivity measure to quantify and analyze parameter sensitivity across spatial regions and time domain. A comparison of clustering structures across three resolutions enables the users to investigate the sensitivity variation over the spatial regions of the five input parameters. The temporal trend in the sensitivity values is explored via an MDS view linked with a line chart for interactive brushing. The spatial and temporal views are connected to provide a full exploration system for complete spatio-temporal sensitivity analysis. To analyze the accuracy across varying resolutions, we formulate a Bayesian approach to identify which regions are better predicted at which resolutions compared to the observed precipitation. This information is aggregated over the time domain and finally encoded in an output image through a custom color map that guides the domain experts towards an adaptive grid implementation given a cost model. Users can select and further analyze the spatial and temporal error patterns for multi-resolution accuracy analysis via brushing and linking on the produced image. In this work, we collaborate with a domain expert whose feedback shows the effectiveness of our proposed exploration work-flow.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Uncertainty quantification in climate ensembles is an important topic for the domain scientists, especially for decision making in the real-world scenarios. With powerful computers, simulations now produce time-varying and multi-resolution ensemble data sets. It is of extreme importance to understand the model sensitivity given the input parameters such that more computation power can be allocated to the parameters with higher influence on the output. Also, when ensemble data is produced at different resolutions, understanding the accuracy of different resolutions helps the total time required to produce a desired quality solution with improved storage and computation cost. In this work, we propose to tackle these non-trivial problems on the Weather Research and Forecasting (WRF) model output. We employ a moment independent sensitivity measure to quantify and analyze parameter sensitivity across spatial regions and time domain. A comparison of clustering structures across three resolutions enables the users to investigate the sensitivity variation over the spatial regions of the five input parameters. The temporal trend in the sensitivity values is explored via an MDS view linked with a line chart for interactive brushing. The spatial and temporal views are connected to provide a full exploration system for complete spatio-temporal sensitivity analysis. To analyze the accuracy across varying resolutions, we formulate a Bayesian approach to identify which regions are better predicted at which resolutions compared to the observed precipitation. This information is aggregated over the time domain and finally encoded in an output image through a custom color map that guides the domain experts towards an adaptive grid implementation given a cost model. Users can select and further analyze the spatial and temporal error patterns for multi-resolution accuracy analysis via brushing and linking on the produced image. In this work, we collaborate with a domain expert whose feedback shows the effectiveness of our proposed exploration work-flow.",
"title": "Visualization of Time-Varying Weather Ensembles across Multiple Resolutions",
"normalizedTitle": "Visualization of Time-Varying Weather Ensembles across Multiple Resolutions",
"fno": "07539581",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Meteorology",
"Spatial Resolution",
"Uncertainty",
"Computational Modeling",
"Data Visualization",
"Sensitivity Analysis",
"Ensemble",
"Time Varying",
"Multi Resolution"
],
"authors": [
{
"givenName": "Ayan",
"surname": "Biswas",
"fullName": "Ayan Biswas",
"affiliation": "GRAVITY group, The Ohio State University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Guang",
"surname": "Lin",
"fullName": "Guang Lin",
"affiliation": "Purdue University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xiaotong",
"surname": "Liu",
"fullName": "Xiaotong Liu",
"affiliation": "GRAVITY group, The Ohio State University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Han-Wei",
"surname": "Shen",
"fullName": "Han-Wei Shen",
"affiliation": "GRAVITY group, The Ohio State University",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2017-01-01 00:00:00",
"pubType": "trans",
"pages": "841-850",
"year": "2017",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icii/2001/7010/1/00982743",
"title": "A comparison study on landscape characteristics based on the aggregation of remotely sensed data with multiple spatial resolutions",
"doi": null,
"abstractUrl": "/proceedings-article/icii/2001/00982743/12OmNBNM8VQ",
"parentPublication": {
"id": "proceedings/icii/2001/7010/1",
"title": "2001 International Conferences on Info-tech and Info-net. Proceedings",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dcc/1994/5637/0/00305945",
"title": "Visibility of DCT basis functions: effects of display resolution",
"doi": null,
"abstractUrl": "/proceedings-article/dcc/1994/00305945/12OmNqFJhzU",
"parentPublication": {
"id": "proceedings/dcc/1994/5637/0",
"title": "Proceedings of IEEE Data Compression Conference (DCC'94)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dcc/2016/1853/0/07786250",
"title": "Adaptive Quantization Matrices for HD and UHD Resolutions in Scalable HEVC",
"doi": null,
"abstractUrl": "/proceedings-article/dcc/2016/07786250/12OmNs0C9FD",
"parentPublication": {
"id": "proceedings/dcc/2016/1853/0",
"title": "2016 Data Compression Conference (DCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/avss/2005/9385/0/01577278",
"title": "Multi-modal face image super-resolutions in tensor space",
"doi": null,
"abstractUrl": "/proceedings-article/avss/2005/01577278/12OmNx3HI98",
"parentPublication": {
"id": "proceedings/avss/2005/9385/0",
"title": "IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192660",
"title": "Visualizing Multiple Variables Across Scale and Geography",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192660/13rRUxC0SWc",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/01/07539323",
"title": "Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots",
"doi": null,
"abstractUrl": "/journal/tg/2017/01/07539323/13rRUxNEqPZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/avss/2022/6382/0/09959310",
"title": "Temporal-Invariant Video Representation Learning with Dynamic Temporal Resolutions",
"doi": null,
"abstractUrl": "/proceedings-article/avss/2022/09959310/1Iz5er0nks0",
"parentPublication": {
"id": "proceedings/avss/2022/6382/0",
"title": "2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006597",
"title": "Spatio-temporal classification at multiple resolutions using multi-view regularization",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006597/1hJsaLFopSo",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09377754",
"title": "Adaptive Image Scaling for Corresponding Points Matching between Images with Differing Spatial Resolutions",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09377754/1s64MFUpDUY",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2021/3864/0/09428247",
"title": "PSTR: Per-Title Encoding Using Spatio-Temporal Resolutions",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2021/09428247/1uilQN878xW",
"parentPublication": {
"id": "proceedings/icme/2021/3864/0",
"title": "2021 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07539342",
"articleId": "13rRUxYIN4d",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07539573",
"articleId": "13rRUxC0SEk",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNyoiZ17",
"title": "Mar./Apr.",
"year": "2018",
"issueNum": "02",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "38",
"label": "Mar./Apr.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxE04nq",
"doi": "10.1109/MCG.2018.021951640",
"abstract": "Modeling physical phenomena through computational simulation increasingly relies on generating a collection of related runs, known as an ensemble. This article explores the challenges we face in developing analysis and visualization systems for large and complex ensemble data sets, which we seek to understand without having to view the results of every simulation run. Implementing approaches and ideas developed in response to this goal, we demonstrate the analysis of a 15K run material fracturing study using Slycat, our ensemble analysis system.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Modeling physical phenomena through computational simulation increasingly relies on generating a collection of related runs, known as an ensemble. This article explores the challenges we face in developing analysis and visualization systems for large and complex ensemble data sets, which we seek to understand without having to view the results of every simulation run. Implementing approaches and ideas developed in response to this goal, we demonstrate the analysis of a 15K run material fracturing study using Slycat, our ensemble analysis system.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Modeling physical phenomena through computational simulation increasingly relies on generating a collection of related runs, known as an ensemble. This article explores the challenges we face in developing analysis and visualization systems for large and complex ensemble data sets, which we seek to understand without having to view the results of every simulation run. Implementing approaches and ideas developed in response to this goal, we demonstrate the analysis of a 15K run material fracturing study using Slycat, our ensemble analysis system.",
"title": "Challenges in Visual Analysis of Ensembles",
"normalizedTitle": "Challenges in Visual Analysis of Ensembles",
"fno": "mcg2018020122",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Visualisation",
"Modeling Physical Phenomena",
"Computational Simulation",
"Visualization Systems",
"Complex Ensemble Data Sets",
"Ensemble Analysis System",
"Ensemble Visual Analysis",
"Run Material Fracturing Study",
"Slycat",
"Data Models",
"Computational Modeling",
"Analytical Models",
"Visualization",
"Data Visualization",
"Time Series Analysis",
"Computer Graphics",
"Ensemble Analysis",
"Ensemble Visualization",
"In Situ Visualization",
"Computational Modeling",
"Parameter Space Analysis",
"Data Exploration",
"Multivariate Data",
"Visual Analytics"
],
"authors": [
{
"givenName": "Patricia",
"surname": "Crossno",
"fullName": "Patricia Crossno",
"affiliation": "Sandia National Laboratories",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2018-03-01 00:00:00",
"pubType": "mags",
"pages": "122-131",
"year": "2018",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2016/1451/0/07465251",
"title": "EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2016/07465251/12OmNCh0Pb9",
"parentPublication": {
"id": "proceedings/pacificvis/2016/1451/0",
"title": "2016 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/10/07352365",
"title": "Visual Trends Analysis in Time-Varying Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2016/10/07352365/13rRUwI5TR2",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122743",
"title": "Comparative Visual Analysis of Lagrangian Transport in CFD Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122743/13rRUwbs2b4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/08/06747370",
"title": "Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2014/08/06747370/13rRUxCitJd",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06876045",
"title": "Visual Analytics for Complex Engineering Systems: Hybrid Visual Steering of Simulation Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06876045/13rRUxjQyvl",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07194852",
"title": "Effective Visualization of Temporal Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07194852/13rRUy3xY8c",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/03/08305502",
"title": "Exploring Variability within Ensembles of Decadal Climate Predictions",
"doi": null,
"abstractUrl": "/journal/tg/2019/03/08305502/17D45WWzW55",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cs/2020/02/08676218",
"title": "A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles",
"doi": null,
"abstractUrl": "/magazine/cs/2020/02/08676218/18Nk9ULFs2I",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/works/2022/5191/0/519100a043",
"title": "Co-scheduling Ensembles of In Situ Workflows",
"doi": null,
"abstractUrl": "/proceedings-article/works/2022/519100a043/1KckpDKCTJK",
"parentPublication": {
"id": "proceedings/works/2022/5191/0",
"title": "2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/10/09362264",
"title": "Visual Analysis of Multi-Parameter Distributions Across Ensembles of 3D Fields",
"doi": null,
"abstractUrl": "/journal/tg/2022/10/09362264/1rtTH3Jlh72",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2018020112",
"articleId": "13rRUILLkG8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2018020132",
"articleId": "13rRUIIVleT",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwFid7w",
"title": "Jan.",
"year": "2019",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "25",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "17D45We0UET",
"doi": "10.1109/TVCG.2018.2864432",
"abstract": "This paper presents a new approach for the visualization and analysis of the spatial variability of features of interest represented by critical points in ensemble data. Our framework, called Persistence Atlas, enables the visualization of the dominant spatial patterns of critical points, along with statistics regarding their occurrence in the ensemble. The persistence atlas represents in the geometrical domain each dominant pattern in the form of a confidence map for the appearance of critical points. As a by-product, our method also provides 2-dimensional layouts of the entire ensemble, highlighting the main trends at a global level. Our approach is based on the new notion of Persistence Map, a measure of the geometrical density in critical points which leverages the robustness to noise of topological persistence to better emphasize salient features. We show how to leverage spectral embedding to represent the ensemble members as points in a low-dimensional Euclidean space, where distances between points measure the dissimilarities between critical point layouts and where statistical tasks, such as clustering, can be easily carried out. Further, we show how the notion of mandatory critical point can be leveraged to evaluate for each cluster confidence regions for the appearance of critical points. Most of the steps of this framework can be trivially parallelized and we show how to efficiently implement them. Extensive experiments demonstrate the relevance of our approach. The accuracy of the confidence regions provided by the persistence atlas is quantitatively evaluated and compared to a baseline strategy using an off-the-shelf clustering approach. We illustrate the importance of the persistence atlas in a variety of real-life datasets, where clear trends in feature layouts are identified and analyzed. We provide a lightweight VTK-based C++ implementation of our approach that can be used for reproduction purposes.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper presents a new approach for the visualization and analysis of the spatial variability of features of interest represented by critical points in ensemble data. Our framework, called Persistence Atlas, enables the visualization of the dominant spatial patterns of critical points, along with statistics regarding their occurrence in the ensemble. The persistence atlas represents in the geometrical domain each dominant pattern in the form of a confidence map for the appearance of critical points. As a by-product, our method also provides 2-dimensional layouts of the entire ensemble, highlighting the main trends at a global level. Our approach is based on the new notion of Persistence Map, a measure of the geometrical density in critical points which leverages the robustness to noise of topological persistence to better emphasize salient features. We show how to leverage spectral embedding to represent the ensemble members as points in a low-dimensional Euclidean space, where distances between points measure the dissimilarities between critical point layouts and where statistical tasks, such as clustering, can be easily carried out. Further, we show how the notion of mandatory critical point can be leveraged to evaluate for each cluster confidence regions for the appearance of critical points. Most of the steps of this framework can be trivially parallelized and we show how to efficiently implement them. Extensive experiments demonstrate the relevance of our approach. The accuracy of the confidence regions provided by the persistence atlas is quantitatively evaluated and compared to a baseline strategy using an off-the-shelf clustering approach. We illustrate the importance of the persistence atlas in a variety of real-life datasets, where clear trends in feature layouts are identified and analyzed. We provide a lightweight VTK-based C++ implementation of our approach that can be used for reproduction purposes.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper presents a new approach for the visualization and analysis of the spatial variability of features of interest represented by critical points in ensemble data. Our framework, called Persistence Atlas, enables the visualization of the dominant spatial patterns of critical points, along with statistics regarding their occurrence in the ensemble. The persistence atlas represents in the geometrical domain each dominant pattern in the form of a confidence map for the appearance of critical points. As a by-product, our method also provides 2-dimensional layouts of the entire ensemble, highlighting the main trends at a global level. Our approach is based on the new notion of Persistence Map, a measure of the geometrical density in critical points which leverages the robustness to noise of topological persistence to better emphasize salient features. We show how to leverage spectral embedding to represent the ensemble members as points in a low-dimensional Euclidean space, where distances between points measure the dissimilarities between critical point layouts and where statistical tasks, such as clustering, can be easily carried out. Further, we show how the notion of mandatory critical point can be leveraged to evaluate for each cluster confidence regions for the appearance of critical points. Most of the steps of this framework can be trivially parallelized and we show how to efficiently implement them. Extensive experiments demonstrate the relevance of our approach. The accuracy of the confidence regions provided by the persistence atlas is quantitatively evaluated and compared to a baseline strategy using an off-the-shelf clustering approach. We illustrate the importance of the persistence atlas in a variety of real-life datasets, where clear trends in feature layouts are identified and analyzed. We provide a lightweight VTK-based C++ implementation of our approach that can be used for reproduction purposes.",
"title": "Persistence Atlas for Critical Point Variability in Ensembles",
"normalizedTitle": "Persistence Atlas for Critical Point Variability in Ensembles",
"fno": "08457259",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualisation",
"Pattern Clustering",
"Probability",
"Trees Mathematics",
"Critical Points",
"Critical Point Layouts",
"Mandatory Critical Point",
"Critical Point Variability",
"Persistence Atlas",
"Lightweight VTK Based C Implementation",
"Market Research",
"Data Visualization",
"Layout",
"Probability Density Function",
"Extraterrestrial Measurements",
"Uncertainty",
"Robustness",
"Topological Data Analysis",
"Scalar Data",
"Ensemble Data"
],
"authors": [
{
"givenName": "Guillaume",
"surname": "Favelier",
"fullName": "Guillaume Favelier",
"affiliation": "Sorbonne UniversitéCNRS (LIP6)",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Noura",
"surname": "Faraj",
"fullName": "Noura Faraj",
"affiliation": "Tulane University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Brian",
"surname": "Summa",
"fullName": "Brian Summa",
"affiliation": "Tulane University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Julien",
"surname": "Tierny",
"fullName": "Julien Tierny",
"affiliation": "Sorbonne UniversitéCNRS (LIP6)",
"__typename": "ArticleAuthorType"
}
],
"replicability": {
"isEnabled": true,
"codeDownloadUrl": "https://github.com/GuillaumeFavelier/persistence-atlas/archive/master.zip",
"codeRepositoryUrl": "https://github.com/GuillaumeFavelier/persistence-atlas",
"__typename": "ArticleReplicabilityType"
},
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2019-01-01 00:00:00",
"pubType": "trans",
"pages": "1152-1162",
"year": "2019",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/cvprw/2016/1437/0/1437b023",
"title": "A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2016/1437b023/12OmNqBtiHM",
"parentPublication": {
"id": "proceedings/cvprw/2016/1437/0",
"title": "2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2004/8552/0/01408601",
"title": "Critical-to-quality factors associated with engineering student persistence: the influence of freshman attitudes",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2004/01408601/12OmNwCaCrp",
"parentPublication": {
"id": "proceedings/fie/2004/8552/0",
"title": "34th Annual Frontiers in Education, 2004. FIE 2004.",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/12/ttg2011122045",
"title": "A Scale Space Based Persistence Measure for Critical Points in 2D Scalar Fields",
"doi": null,
"abstractUrl": "/journal/tg/2011/12/ttg2011122045/13rRUwcS1CS",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192675",
"title": "Streamline Variability Plots for Characterizing the Uncertainty in Vector Field Ensembles",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192675/13rRUwjXZSh",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2022/2335/0/233500a001",
"title": "Detecting Critical Points in 2D Scalar Field Ensembles Using Bayesian Inference",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2022/233500a001/1E2wkKtsVVu",
"parentPublication": {
"id": "proceedings/pacificvis/2022/2335/0",
"title": "2022 IEEE 15th Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/02/09920234",
"title": "Principal Geodesic Analysis of Merge Trees (and Persistence Diagrams)",
"doi": null,
"abstractUrl": "/journal/tg/2023/02/09920234/1HxSnktOqgU",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a145",
"title": "Visualizing Confidence Intervals for Critical Point Probabilities in 2D Scalar Field Ensembles",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a145/1J6h7HNSI0g",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08794517",
"title": "Progressive Wasserstein Barycenters of Persistence Diagrams",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08794517/1cr2YZjGkPm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/10/09362264",
"title": "Visual Analysis of Multi-Parameter Distributions Across Ensembles of 3D Fields",
"doi": null,
"abstractUrl": "/journal/tg/2022/10/09362264/1rtTH3Jlh72",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09555911",
"title": "Wasserstein Distances, Geodesics and Barycenters of Merge Trees",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09555911/1xlvYjicn7i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08493612",
"articleId": "17D45Vw15vd",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08440034",
"articleId": "17D45Vw15xr",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXFgJs",
"name": "ttg201901-08457259s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg201901-08457259s1.zip",
"extension": "zip",
"size": "129 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNCbCrUN",
"title": "Dec.",
"year": "2013",
"issueNum": "12",
"idPrefix": "tg",
"pubType": "journal",
"volume": "19",
"label": "Dec.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUIIVlkh",
"doi": "10.1109/TVCG.2013.231",
"abstract": "To analyze data such as the US Federal Budget or characteristics of the student population of a University it is common to look for changes over time. This task can be made easier and more fruitful if the analysis is performed by grouping by attributes, such as by Agencies, Bureaus and Accounts for the Budget, or Ethnicity, Gender and Major in a University. We present TreeVersity2, a web based interactive data visualization tool that allows users to analyze change in datasets by creating dynamic hierarchies based on the data attributes. TreeVersity2 introduces a novel space filling visualization (StemView) to represent change in trees at multiple levels - not just at the leaf level. With this visualization users can explore absolute and relative changes, created and removed nodes, and each node's actual values, while maintaining the context of the tree. In addition, TreeVersity2 provides overviews of change over the entire time period, and a reporting tool that lists outliers in textual form, which helps users identify the major changes in the data without having to manually setup filters. We validated TreeVersity2 with 12 case studies with organizations as diverse as the National Cancer Institute, Federal Drug Administration, Department of Transportation, Office of the Bursar of the University of Maryland, or eBay. Our case studies demonstrated that TreeVersity2 is flexible enough to be used in different domains and provide useful insights for the data owners. A TreeVersity2 demo can be found at https://treeversity.cattlab.umd.edu.",
"abstracts": [
{
"abstractType": "Regular",
"content": "To analyze data such as the US Federal Budget or characteristics of the student population of a University it is common to look for changes over time. This task can be made easier and more fruitful if the analysis is performed by grouping by attributes, such as by Agencies, Bureaus and Accounts for the Budget, or Ethnicity, Gender and Major in a University. We present TreeVersity2, a web based interactive data visualization tool that allows users to analyze change in datasets by creating dynamic hierarchies based on the data attributes. TreeVersity2 introduces a novel space filling visualization (StemView) to represent change in trees at multiple levels - not just at the leaf level. With this visualization users can explore absolute and relative changes, created and removed nodes, and each node's actual values, while maintaining the context of the tree. In addition, TreeVersity2 provides overviews of change over the entire time period, and a reporting tool that lists outliers in textual form, which helps users identify the major changes in the data without having to manually setup filters. We validated TreeVersity2 with 12 case studies with organizations as diverse as the National Cancer Institute, Federal Drug Administration, Department of Transportation, Office of the Bursar of the University of Maryland, or eBay. Our case studies demonstrated that TreeVersity2 is flexible enough to be used in different domains and provide useful insights for the data owners. A TreeVersity2 demo can be found at https://treeversity.cattlab.umd.edu.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "To analyze data such as the US Federal Budget or characteristics of the student population of a University it is common to look for changes over time. This task can be made easier and more fruitful if the analysis is performed by grouping by attributes, such as by Agencies, Bureaus and Accounts for the Budget, or Ethnicity, Gender and Major in a University. We present TreeVersity2, a web based interactive data visualization tool that allows users to analyze change in datasets by creating dynamic hierarchies based on the data attributes. TreeVersity2 introduces a novel space filling visualization (StemView) to represent change in trees at multiple levels - not just at the leaf level. With this visualization users can explore absolute and relative changes, created and removed nodes, and each node's actual values, while maintaining the context of the tree. In addition, TreeVersity2 provides overviews of change over the entire time period, and a reporting tool that lists outliers in textual form, which helps users identify the major changes in the data without having to manually setup filters. We validated TreeVersity2 with 12 case studies with organizations as diverse as the National Cancer Institute, Federal Drug Administration, Department of Transportation, Office of the Bursar of the University of Maryland, or eBay. Our case studies demonstrated that TreeVersity2 is flexible enough to be used in different domains and provide useful insights for the data owners. A TreeVersity2 demo can be found at https://treeversity.cattlab.umd.edu.",
"title": "Visualizing Change over Time Using Dynamic Hierarchies: TreeVersity2 and the StemView",
"normalizedTitle": "Visualizing Change over Time Using Dynamic Hierarchies: TreeVersity2 and the StemView",
"fno": "ttg2013122566",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualization",
"Topology",
"Image Color Analysis",
"Context Awareness",
"Information Visualization",
"Data Visualization",
"Topology",
"Image Color Analysis",
"Context Awareness",
"Tree Comparison"
],
"authors": [
{
"givenName": "JohnAlexis",
"surname": "Guerra-Gomez",
"fullName": "JohnAlexis Guerra-Gomez",
"affiliation": "Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Michael L.",
"surname": "Pack",
"fullName": "Michael L. Pack",
"affiliation": "CATT Lab., Univ. of Maryland, College Park, MD, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Catherine",
"surname": "Plaisant",
"fullName": "Catherine Plaisant",
"affiliation": "HCIL, Univ. of Maryland, College Park, MD, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ben",
"surname": "Shneiderman",
"fullName": "Ben Shneiderman",
"affiliation": "Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "12",
"pubDate": "2013-12-01 00:00:00",
"pubType": "trans",
"pages": "2566-2575",
"year": "2013",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vpa/2014/7058/0/7058a001",
"title": "Visualization of Performance Data for MPI Applications Using Circular Hierarchies",
"doi": null,
"abstractUrl": "/proceedings-article/vpa/2014/7058a001/12OmNAWpyoP",
"parentPublication": {
"id": "proceedings/vpa/2014/7058/0",
"title": "2014 First Workshop on Visual Performance Analysis (VPA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/uidis/1999/0262/0/02620042",
"title": "The Challenge of Visualizing Multiple Overlapping Classification Hierarchies",
"doi": null,
"abstractUrl": "/proceedings-article/uidis/1999/02620042/12OmNB9bvhC",
"parentPublication": {
"id": "proceedings/uidis/1999/0262/0",
"title": "User Interfaces to Data Intensive Systems, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/enc/2005/2454/0/24540031",
"title": "Visualizing Hierarchies and Collection Structures with Fractal Trees",
"doi": null,
"abstractUrl": "/proceedings-article/enc/2005/24540031/12OmNBpVQ7r",
"parentPublication": {
"id": "proceedings/enc/2005/2454/0",
"title": "Sixth Mexican International Conference on Computer Science (ENC'05)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vlhcc/2012/0852/0/06344516",
"title": "Visualizing dynamic trajectories in social networks",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2012/06344516/12OmNqyUUFw",
"parentPublication": {
"id": "proceedings/vlhcc/2012/0852/0",
"title": "2012 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vissoft/2016/3850/0/3850a141",
"title": "Visualizing the Evolution of Working Sets",
"doi": null,
"abstractUrl": "/proceedings-article/vissoft/2016/3850a141/12OmNzTppDR",
"parentPublication": {
"id": "proceedings/vissoft/2016/3850/0",
"title": "2016 IEEE Working Conference on Software Visualization (VISSOFT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2014/4103/0/4103a102",
"title": "Visualizing Large Quantities of Educational Datamining Information",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2014/4103a102/12OmNzZmZiI",
"parentPublication": {
"id": "proceedings/iv/2014/4103/0",
"title": "2014 18th International Conference on Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/11/ttg2013111808",
"title": "Change Blindness Images",
"doi": null,
"abstractUrl": "/journal/tg/2013/11/ttg2013111808/13rRUwh80uz",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192712",
"title": "Poemage: Visualizing the Sonic Topology of a Poem",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192712/13rRUwjGoLI",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/10/07352369",
"title": "Visualizing Dynamic Hierarchies in Graph Sequences",
"doi": null,
"abstractUrl": "/journal/tg/2016/10/07352369/13rRUzp02os",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2018/2666/1/266601a074",
"title": "Visualizing a Tangled Change for Supporting Its Decomposition and Commit Construction",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2018/266601a074/144U9bjq0Ae",
"parentPublication": {
"id": "proceedings/compsac/2018/2666/2",
"title": "2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2013122556",
"articleId": "13rRUwhHcQS",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2013122576",
"articleId": "13rRUwjoNx3",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXWRPy",
"name": "ttg2013122566s.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2013122566s.mp4",
"extension": "mp4",
"size": "35.6 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBKW9yc",
"title": "December",
"year": "1991",
"issueNum": "12",
"idPrefix": "tp",
"pubType": "journal",
"volume": "13",
"label": "December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwjoNy2",
"doi": "10.1109/34.106998",
"abstract": "A string or sequence is a linear array of symbols that come from an alphabet. Due to unknown substitutions, insertions, and deletions of symbols, a sequence cannot be treated like a vector or a tuple of a fixed number of variables. The synthesis of an ensemble of sequences is a sequence of random elements that specify the probabilities of occurrence of the different symbols at the corresponding sites of the sequences. The synthesis is determined by a hierarchical sequence synthesis procedure (HSSP), which returns not only the taxonomic hierarchy of the whole ensemble of sequences but also the alignment and the synthesis of a group (a subset of the ensemble) of the sequences at each level of the hierarchy. The HSSP does not require the ensemble of sequences to be presented in the form of a tabulated array of data, the hierarchical information of the data, or the assumption of a stochastic process. The authors present the concept of sequence synthesis and the applicability of the HSSP as a supervised classification procedure as well as an unsupervised classification procedure.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A string or sequence is a linear array of symbols that come from an alphabet. Due to unknown substitutions, insertions, and deletions of symbols, a sequence cannot be treated like a vector or a tuple of a fixed number of variables. The synthesis of an ensemble of sequences is a sequence of random elements that specify the probabilities of occurrence of the different symbols at the corresponding sites of the sequences. The synthesis is determined by a hierarchical sequence synthesis procedure (HSSP), which returns not only the taxonomic hierarchy of the whole ensemble of sequences but also the alignment and the synthesis of a group (a subset of the ensemble) of the sequences at each level of the hierarchy. The HSSP does not require the ensemble of sequences to be presented in the form of a tabulated array of data, the hierarchical information of the data, or the assumption of a stochastic process. The authors present the concept of sequence synthesis and the applicability of the HSSP as a supervised classification procedure as well as an unsupervised classification procedure.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "A string or sequence is a linear array of symbols that come from an alphabet. Due to unknown substitutions, insertions, and deletions of symbols, a sequence cannot be treated like a vector or a tuple of a fixed number of variables. The synthesis of an ensemble of sequences is a sequence of random elements that specify the probabilities of occurrence of the different symbols at the corresponding sites of the sequences. The synthesis is determined by a hierarchical sequence synthesis procedure (HSSP), which returns not only the taxonomic hierarchy of the whole ensemble of sequences but also the alignment and the synthesis of a group (a subset of the ensemble) of the sequences at each level of the hierarchy. The HSSP does not require the ensemble of sequences to be presented in the form of a tabulated array of data, the hierarchical information of the data, or the assumption of a stochastic process. The authors present the concept of sequence synthesis and the applicability of the HSSP as a supervised classification procedure as well as an unsupervised classification procedure.",
"title": "Synthesis and Recognition of Sequences",
"normalizedTitle": "Synthesis and Recognition of Sequences",
"fno": "i1245",
"hasPdf": true,
"idPrefix": "tp",
"keywords": [
"Sequences Synthesis Sequences Recognition Alphabet Hierarchical Sequence Synthesis Procedure Taxonomic Hierarchy Alignment Supervised Classification Unsupervised Classification Procedure Pattern Recognition Probability"
],
"authors": [
{
"givenName": "S.C.",
"surname": "Chan",
"fullName": "S.C. Chan",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "A.K.C.",
"surname": "Wong",
"fullName": "A.K.C. Wong",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "12",
"pubDate": "1991-12-01 00:00:00",
"pubType": "trans",
"pages": "1245-1255",
"year": "1991",
"issn": "0162-8828",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "i1240",
"articleId": "13rRUyeCkbm",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "i1255",
"articleId": "13rRUwbaqVM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAolH1h",
"title": "July",
"year": "2020",
"issueNum": "07",
"idPrefix": "tg",
"pubType": "journal",
"volume": "26",
"label": "July",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "17D45WK5Amw",
"doi": "10.1109/TVCG.2018.2886901",
"abstract": "Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-directed algorithms can exploit to compute a layout. However, often dynamic graphs are expressed as a series of events where the nodes and edges have real coordinates along the time dimension that are not confined to discrete timeslices. Current techniques for dynamic graph drawing impose a set of timeslices on this event-based data in order to draw the dynamic graph, but it is unclear how many timeslices should be selected: too many timeslices slows the computation of the layout, while too few timeslices obscures important temporal features, such as causality. To address these limitations, we introduce a novel model for drawing event-based dynamic graphs and the first dynamic graph drawing algorithm, DynNoSlice, that is capable of drawing dynamic graphs in this model. DynNoSlice is an offline, force-directed algorithm that draws event-based, dynamic graphs in the space-time cube (2D+time). We also present a method to extract representative small multiples from the space-time cube. To demonstrate the advantages of our approach, DynNoSlice is compared with state-of-the-art timeslicing methods using a metrics-based experiment. Finally, we present case studies of event-based dynamic data visualised with the new model and algorithm.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-directed algorithms can exploit to compute a layout. However, often dynamic graphs are expressed as a series of events where the nodes and edges have real coordinates along the time dimension that are not confined to discrete timeslices. Current techniques for dynamic graph drawing impose a set of timeslices on this event-based data in order to draw the dynamic graph, but it is unclear how many timeslices should be selected: too many timeslices slows the computation of the layout, while too few timeslices obscures important temporal features, such as causality. To address these limitations, we introduce a novel model for drawing event-based dynamic graphs and the first dynamic graph drawing algorithm, DynNoSlice, that is capable of drawing dynamic graphs in this model. DynNoSlice is an offline, force-directed algorithm that draws event-based, dynamic graphs in the space-time cube (2D+time). We also present a method to extract representative small multiples from the space-time cube. To demonstrate the advantages of our approach, DynNoSlice is compared with state-of-the-art timeslicing methods using a metrics-based experiment. Finally, we present case studies of event-based dynamic data visualised with the new model and algorithm.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-directed algorithms can exploit to compute a layout. However, often dynamic graphs are expressed as a series of events where the nodes and edges have real coordinates along the time dimension that are not confined to discrete timeslices. Current techniques for dynamic graph drawing impose a set of timeslices on this event-based data in order to draw the dynamic graph, but it is unclear how many timeslices should be selected: too many timeslices slows the computation of the layout, while too few timeslices obscures important temporal features, such as causality. To address these limitations, we introduce a novel model for drawing event-based dynamic graphs and the first dynamic graph drawing algorithm, DynNoSlice, that is capable of drawing dynamic graphs in this model. DynNoSlice is an offline, force-directed algorithm that draws event-based, dynamic graphs in the space-time cube (2D+time). We also present a method to extract representative small multiples from the space-time cube. To demonstrate the advantages of our approach, DynNoSlice is compared with state-of-the-art timeslicing methods using a metrics-based experiment. Finally, we present case studies of event-based dynamic data visualised with the new model and algorithm.",
"title": "Event-Based Dynamic Graph Visualisation",
"normalizedTitle": "Event-Based Dynamic Graph Visualisation",
"fno": "08580419",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualisation",
"Graph Theory",
"Dyn No Slice",
"Event Based Dynamic Graph Visualisation",
"Event Based Dynamic Data",
"Space Time Cube",
"Draws Event Based",
"Force Directed Algorithm",
"Dynamic Graph Drawing Algorithm",
"Timeslices",
"Heuristic Algorithms",
"Data Visualization",
"Dynamics",
"Three Dimensional Displays",
"Computational Modeling",
"Layout",
"Animation",
"Information Visualisation",
"Graph Drawing",
"Dynamic Graphs",
"Event Based Analytics",
"No Timeslices"
],
"authors": [
{
"givenName": "Paolo",
"surname": "Simonetto",
"fullName": "Paolo Simonetto",
"affiliation": "Swansea University, Swansea, Wales",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Daniel",
"surname": "Archambault",
"fullName": "Daniel Archambault",
"affiliation": "Swansea University, Swansea, Wales",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Stephen",
"surname": "Kobourov",
"fullName": "Stephen Kobourov",
"affiliation": "University of Arizona, Tucson, AZ, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": false,
"showRecommendedArticles": true,
"isOpenAccess": true,
"issueNum": "07",
"pubDate": "2020-07-01 00:00:00",
"pubType": "trans",
"pages": "2373-2386",
"year": "2020",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/cw/2016/2303/0/2303a119",
"title": "A Dynamic Network Layout Visualization Method Based on Structural Similarity",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2016/2303a119/12OmNAPSMmj",
"parentPublication": {
"id": "proceedings/cw/2016/2303/0",
"title": "2016 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2015/6879/0/07156358",
"title": "Laplacian-based dynamic graph visualization",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2015/07156358/12OmNwHQB7U",
"parentPublication": {
"id": "proceedings/pacificvis/2015/6879/0",
"title": "2015 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/enic/2015/7592/0/7592a145",
"title": "Using Visual Stability to Support Search Efficiency and User Experience in Dynamic Graph Drawings",
"doi": null,
"abstractUrl": "/proceedings-article/enic/2015/7592a145/12OmNwp74yw",
"parentPublication": {
"id": "proceedings/enic/2015/7592/0",
"title": "2015 Second European Network Intelligence Conference (ENIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2010/7846/0/05571364",
"title": "An Interactive Visualization Framework for Time-Series of Web Graphs in a 3D Environment",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2010/05571364/12OmNx6g6mj",
"parentPublication": {
"id": "proceedings/iv/2010/7846/0",
"title": "2010 14th International Conference Information Visualisation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vlhcc/2012/0852/0/06344514",
"title": "Rapid Serial Visual Presentation in dynamic graph visualization",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2012/06344514/12OmNxYL5fe",
"parentPublication": {
"id": "proceedings/vlhcc/2012/0852/0",
"title": "2012 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2017/0831/0/0831a230",
"title": "Dynamic Graph Visualization on Different Temporal Granularities",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2017/0831a230/12OmNzxPTGk",
"parentPublication": {
"id": "proceedings/iv/2017/0831/0",
"title": "2017 21st International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/04/ttg2008040727",
"title": "Online Dynamic Graph Drawing",
"doi": null,
"abstractUrl": "/journal/tg/2008/04/ttg2008040727/13rRUxBJhvo",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/5555/01/10078374",
"title": "<italic>DiffSeer</italic>: Difference-Based Dynamic Weighted Graph Visualization",
"doi": null,
"abstractUrl": "/magazine/cg/5555/01/10078374/1LINrNziL28",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2019/4941/0/08933748",
"title": "Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2019/08933748/1fTgIQAyj8k",
"parentPublication": {
"id": "proceedings/vis/2019/4941/0",
"title": "2019 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2021/3931/0/393100a151",
"title": "Louvain-based Multi-level Graph Drawing",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2021/393100a151/1tTtsE2YW9G",
"parentPublication": {
"id": "proceedings/pacificvis/2021/3931/0",
"title": "2021 IEEE 14th Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08587199",
"articleId": "17D45W9KVGn",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08580402",
"articleId": "17D45XacGi5",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvsDHDY",
"title": "Jan.",
"year": "2020",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "26",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1cG6bfa8KkM",
"doi": "10.1109/TVCG.2019.2934661",
"abstract": "Temporal event data are collected across a broad range of domains, and a variety of visual analytics techniques have been developed to empower analysts working with this form of data. These techniques generally display aggregate statistics computed over sets of event sequences that share common patterns. Such techniques are often hindered, however, by the high-dimensionality of many real-world event sequence datasets which can prevent effective aggregation. A common coping strategy for this challenge is to group event types together prior to visualization, as a pre-process, so that each group can be represented within an analysis as a single event type. However, computing these event groupings as a pre-process also places significant constraints on the analysis. This paper presents a new visual analytics approach for dynamic hierarchical dimension aggregation. The approach leverages a predefined hierarchy of dimensions to computationally quantify the informativeness, with respect to a measure of interest, of alternative levels of grouping within the hierarchy at runtime. This information is then interactively visualized, enabling users to dynamically explore the hierarchy to select the most appropriate level of grouping to use at any individual step within an analysis. Key contributions include an algorithm for interactively determining the most informative set of event groupings for a specific analysis context, and a scented scatter-plus-focus visualization design with an optimization-based layout algorithm that supports interactive hierarchical exploration of alternative event type groupings. We apply these techniques to high-dimensional event sequence data from the medical domain and report findings from domain expert interviews.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Temporal event data are collected across a broad range of domains, and a variety of visual analytics techniques have been developed to empower analysts working with this form of data. These techniques generally display aggregate statistics computed over sets of event sequences that share common patterns. Such techniques are often hindered, however, by the high-dimensionality of many real-world event sequence datasets which can prevent effective aggregation. A common coping strategy for this challenge is to group event types together prior to visualization, as a pre-process, so that each group can be represented within an analysis as a single event type. However, computing these event groupings as a pre-process also places significant constraints on the analysis. This paper presents a new visual analytics approach for dynamic hierarchical dimension aggregation. The approach leverages a predefined hierarchy of dimensions to computationally quantify the informativeness, with respect to a measure of interest, of alternative levels of grouping within the hierarchy at runtime. This information is then interactively visualized, enabling users to dynamically explore the hierarchy to select the most appropriate level of grouping to use at any individual step within an analysis. Key contributions include an algorithm for interactively determining the most informative set of event groupings for a specific analysis context, and a scented scatter-plus-focus visualization design with an optimization-based layout algorithm that supports interactive hierarchical exploration of alternative event type groupings. We apply these techniques to high-dimensional event sequence data from the medical domain and report findings from domain expert interviews.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Temporal event data are collected across a broad range of domains, and a variety of visual analytics techniques have been developed to empower analysts working with this form of data. These techniques generally display aggregate statistics computed over sets of event sequences that share common patterns. Such techniques are often hindered, however, by the high-dimensionality of many real-world event sequence datasets which can prevent effective aggregation. A common coping strategy for this challenge is to group event types together prior to visualization, as a pre-process, so that each group can be represented within an analysis as a single event type. However, computing these event groupings as a pre-process also places significant constraints on the analysis. This paper presents a new visual analytics approach for dynamic hierarchical dimension aggregation. The approach leverages a predefined hierarchy of dimensions to computationally quantify the informativeness, with respect to a measure of interest, of alternative levels of grouping within the hierarchy at runtime. This information is then interactively visualized, enabling users to dynamically explore the hierarchy to select the most appropriate level of grouping to use at any individual step within an analysis. Key contributions include an algorithm for interactively determining the most informative set of event groupings for a specific analysis context, and a scented scatter-plus-focus visualization design with an optimization-based layout algorithm that supports interactive hierarchical exploration of alternative event type groupings. We apply these techniques to high-dimensional event sequence data from the medical domain and report findings from domain expert interviews.",
"title": "Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation",
"normalizedTitle": "Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation",
"fno": "08807220",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Aggregation",
"Data Analysis",
"Data Visualisation",
"Dynamic Hierarchical Aggregation",
"Temporal Event Data",
"Visual Analysis",
"High Dimensional Event Sequence Data",
"Alternative Event Type Groupings",
"Scented Scatter Plus Focus Visualization Design",
"Dynamic Hierarchical Dimension Aggregation",
"Event Groupings",
"Single Event Type",
"Group Event Types",
"Real World Event Sequence Datasets",
"Visual Analytics Techniques",
"Data Visualization",
"Visual Analytics",
"Runtime",
"Sequences",
"Layout",
"Navigation",
"Temporal Event Sequence Visualization",
"Visual Analytics",
"Hierarchical Aggregation",
"Medical Informatics"
],
"authors": [
{
"givenName": "David",
"surname": "Gotz",
"fullName": "David Gotz",
"affiliation": "School of Information and Library Science, University of North Carolina, Chapel Hill",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jonathan",
"surname": "Zhang",
"fullName": "Jonathan Zhang",
"affiliation": "Dept. of Biostatistics, University of North Carolina, Chapel Hill",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Wenyuan",
"surname": "Wang",
"fullName": "Wenyuan Wang",
"affiliation": "School of Information and Library Science, University of North Carolina, Chapel Hill",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Joshua",
"surname": "Shrestha",
"fullName": "Joshua Shrestha",
"affiliation": "Dept. of Computer Science, University of North Carolina, Chapel Hill",
"__typename": "ArticleAuthorType"
},
{
"givenName": "David",
"surname": "Borland",
"fullName": "David Borland",
"affiliation": "RENCI, University of North Carolina, Chapel Hill",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2020-01-01 00:00:00",
"pubType": "trans",
"pages": "440-450",
"year": "2020",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vast/2016/5661/0/07883512",
"title": "EventAction: Visual analytics for temporal event sequence recommendation",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2016/07883512/12OmNBDQbnR",
"parentPublication": {
"id": "proceedings/vast/2016/5661/0",
"title": "2016 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/tai/1991/2300/0/00167100",
"title": "Hierarchical stereo matching using feature groupings",
"doi": null,
"abstractUrl": "/proceedings-article/tai/1991/00167100/12OmNrIJqr2",
"parentPublication": {
"id": "proceedings/tai/1991/2300/0",
"title": "1991 Third International Conference on Tools for Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/1991/2148/0/00139778",
"title": "Extracting surfaces of revolution by perceptual grouping of ellipses",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/1991/00139778/12OmNrMHOeq",
"parentPublication": {
"id": "proceedings/cvpr/1991/2148/0",
"title": "Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wvm/1991/2153/0/00212774",
"title": "Hierarchical feature based matching for motion correspondence",
"doi": null,
"abstractUrl": "/proceedings-article/wvm/1991/00212774/12OmNvSKO1r",
"parentPublication": {
"id": "proceedings/wvm/1991/2153/0",
"title": "Proceedings of the IEEE Workshop on Visual Motion",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08017612",
"title": "EventThread: Visual Summarization and Stage Analysis of Event Sequence Data",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08017612/13rRUwkxc5r",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08025640",
"title": "Sequence Synopsis: Optimize Visual Summary of Temporal Event Data",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08025640/13rRUyft7D8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2018/5520/0/552000a737",
"title": "Sharon: Shared Online Event Sequence Aggregation",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2018/552000a737/14Fq0XtXexT",
"parentPublication": {
"id": "proceedings/icde/2018/5520/0",
"title": "2018 IEEE 34th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vahc/2019/2423/0/08945029",
"title": "Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2019/08945029/1grQjnSzdYs",
"parentPublication": {
"id": "proceedings/vahc/2019/2423/0",
"title": "2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222294",
"title": "Visual Causality Analysis of Event Sequence Data",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222294/1nTqOCPOdTq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/12/09497654",
"title": "Survey on Visual Analysis of Event Sequence Data",
"doi": null,
"abstractUrl": "/journal/tg/2022/12/09497654/1vzYfkJCG64",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08807213",
"articleId": "1cG6uHFRwqI",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08807271",
"articleId": "1cG66gYAFtS",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1lxvdLAxX44",
"name": "ttg202001-08807220s1-supp1-2934661.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202001-08807220s1-supp1-2934661.mp4",
"extension": "mp4",
"size": "48.1 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNqBKU00",
"title": "April",
"year": "2016",
"issueNum": "04",
"idPrefix": "tp",
"pubType": "journal",
"volume": "38",
"label": "April",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwInvu2",
"doi": "10.1109/TPAMI.2016.2529898",
"abstract": null,
"abstracts": [],
"normalizedAbstract": null,
"title": "Guest Editorial: Special Section on CVPR 2013",
"normalizedTitle": "Guest Editorial: Special Section on CVPR 2013",
"fno": "07425363",
"hasPdf": true,
"idPrefix": "tp",
"keywords": [],
"authors": [
{
"givenName": "William T.",
"surname": "Freeman",
"fullName": "William T. Freeman",
"affiliation": "MIT and Google",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Richard",
"surname": "Szeliski",
"fullName": "Richard Szeliski",
"affiliation": "Facebook",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Gregory D.",
"surname": "Hager",
"fullName": "Gregory D. Hager",
"affiliation": "Johns Hopkins University",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": false,
"showRecommendedArticles": true,
"isOpenAccess": true,
"issueNum": "04",
"pubDate": "2016-04-01 00:00:00",
"pubType": "trans",
"pages": "625-626",
"year": "2016",
"issn": "0162-8828",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "trans/ts/1998/08/e0585",
"title": "Guest Editorial: Introduction To The Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1998/08/e0585/13rRUIJcWfa",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2014/05/06917105",
"title": "Guest Editorial for Special Section on BIOKDD2013",
"doi": null,
"abstractUrl": "/journal/tb/2014/05/06917105/13rRUwInvjI",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2015/02/07054463",
"title": "Guest Editorial for Special Section on BIBM 2013",
"doi": null,
"abstractUrl": "/journal/tb/2015/02/07054463/13rRUwInvjJ",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1998/11/e0906",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1998/11/e0906/13rRUwInvup",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1983/02/01703027",
"title": "Guest Editorial: COMPSAC '81 Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1983/02/01703027/13rRUwh80It",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2008/10/ttp2008101681",
"title": "Guest Editors' Introduction to the Special Section on CVPR Papers",
"doi": null,
"abstractUrl": "/journal/tp/2008/10/ttp2008101681/13rRUx0PqqD",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1995/02/e0061",
"title": "Guest Editorial: Introduction to Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1995/02/e0061/13rRUx0Pqr6",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2016/07/07484393",
"title": "Guest Editorial: Special Section on CVPR 2014",
"doi": null,
"abstractUrl": "/journal/tp/2016/07/07484393/13rRUxDItis",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1998/09/e0681",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1998/09/e0681/13rRUxYrbWi",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2023/06/10120668",
"title": "Editorial: Special Section on Egocentric Perception",
"doi": null,
"abstractUrl": "/journal/tp/2023/06/10120668/1MTPfxFC120",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07425350",
"articleId": "13rRUIJuxwA",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06942196",
"articleId": "13rRUxASuUh",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzZ5oaa",
"title": "June",
"year": "1996",
"issueNum": "06",
"idPrefix": "ts",
"pubType": "journal",
"volume": "22",
"label": "June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwfZC21",
"doi": "10.1109/TSE.1996.10004",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: Introduction to the Special Section",
"normalizedTitle": "Guest Editorial: Introduction to the Special Section",
"fno": "e0361",
"hasPdf": true,
"idPrefix": "ts",
"keywords": [],
"authors": [],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "1996-06-01 00:00:00",
"pubType": "trans",
"pages": "361-362",
"year": "1996",
"issn": "0098-5589",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": null,
"next": {
"fno": "e0363",
"articleId": "13rRUyeCkbU",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNARAncK",
"title": "March",
"year": "1983",
"issueNum": "02",
"idPrefix": "ts",
"pubType": "journal",
"volume": "9",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwh80It",
"doi": "10.1109/TSE.1983.236455",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: COMPSAC '81 Special Section",
"normalizedTitle": "Guest Editorial: COMPSAC '81 Special Section",
"fno": "01703027",
"hasPdf": true,
"idPrefix": "ts",
"keywords": [],
"authors": [
{
"givenName": "J.D.",
"surname": "Musa",
"fullName": "J.D. Musa",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "1983-03-01 00:00:00",
"pubType": "trans",
"pages": "118-119",
"year": "1983",
"issn": "0098-5589",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "trans/ts/1996/01/e0003",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1996/01/e0003/13rRUIJcWf7",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2013/05/ttb2013051199",
"title": "Guest Editorial for Special Section on BIOKDD",
"doi": null,
"abstractUrl": "/journal/tb/2013/05/ttb2013051199/13rRUILtJxU",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1361",
"title": "Guest Editorial: Special Section on Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1361/13rRUNvya9f",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/2003/06/t0689",
"title": "Guest Editorial: Special Section on Wireless Internet",
"doi": null,
"abstractUrl": "/journal/tc/2003/06/t0689/13rRUwjGoKN",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1995/02/e0061",
"title": "Guest Editorial: Introduction to Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1995/02/e0061/13rRUx0Pqr6",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1999/06/e0782",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1999/06/e0782/13rRUxBa5z5",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/2003/11/l1057",
"title": "Guest Editorial: Special Section on Middleware Infrastructures",
"doi": null,
"abstractUrl": "/journal/td/2003/11/l1057/13rRUxcbnGD",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2010/03/tth2010030153",
"title": "Guest Editorial for World Haptics Spotlight Section",
"doi": null,
"abstractUrl": "/journal/th/2010/03/tth2010030153/13rRUy0HYRB",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/lt/2017/01/07880729",
"title": "Guest Editorial: Special Section on Learning Analytics",
"doi": null,
"abstractUrl": "/journal/lt/2017/01/07880729/13rRUygT7bB",
"parentPublication": {
"id": "trans/lt",
"title": "IEEE Transactions on Learning Technologies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/1981/09/01667520",
"title": "Compsac 81",
"doi": null,
"abstractUrl": "/magazine/co/1981/09/01667520/13rRUygT7hU",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "01703026",
"articleId": "13rRUxlgxXX",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01703028",
"articleId": "13rRUwvByah",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzwHvea",
"title": "February",
"year": "1995",
"issueNum": "02",
"idPrefix": "ts",
"pubType": "journal",
"volume": "21",
"label": "February",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUx0Pqr6",
"doi": "10.1109/TSE.1995.10000",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: Introduction to Special Section",
"normalizedTitle": "Guest Editorial: Introduction to Special Section",
"fno": "e0061",
"hasPdf": true,
"idPrefix": "ts",
"keywords": [],
"authors": [],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "1995-02-01 00:00:00",
"pubType": "trans",
"pages": "61-62",
"year": "1995",
"issn": "0098-5589",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": null,
"next": {
"fno": "e0063",
"articleId": "13rRUygT7oI",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAWYKBS",
"title": "January",
"year": "1998",
"issueNum": "01",
"idPrefix": "ts",
"pubType": "journal",
"volume": "24",
"label": "January",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxAASXP",
"doi": "10.1109/TSE.1998.10000",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: Introduction to the Special Section",
"normalizedTitle": "Guest Editorial: Introduction to the Special Section",
"fno": "e0002",
"hasPdf": true,
"idPrefix": "ts",
"keywords": [],
"authors": [],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "1998-01-01 00:00:00",
"pubType": "trans",
"pages": "2-3",
"year": "1998",
"issn": "0098-5589",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "e0001",
"articleId": "13rRUy0qnI8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "e0004",
"articleId": "13rRUIJcWf9",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwdL7lu",
"title": "July/August",
"year": "2006",
"issueNum": "04",
"idPrefix": "tg",
"pubType": "journal",
"volume": "12",
"label": "July/August",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxBJhvj",
"doi": "10.1109/TVCG.2006.71",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: Special Section on Visualization 2005",
"normalizedTitle": "Guest Editorial: Special Section on Visualization 2005",
"fno": "v0419",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Rendering Computer Graphics",
"Data Visualization",
"Application Software",
"Dynamic Range",
"Finite Element Methods",
"Numerical Simulation",
"Software Libraries",
"Packaging",
"Radiography",
"Attenuation"
],
"authors": [
{
"givenName": "Cl?udio T.",
"surname": "Silva",
"fullName": "Cl?udio T. Silva",
"affiliation": "IEEE",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Eduard",
"surname": "Gr?ller",
"fullName": "Eduard Gr?ller",
"affiliation": "IEEE Computer Society",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Holly",
"surname": "Rushmeier",
"fullName": "Holly Rushmeier",
"affiliation": "IEEE Computer Society",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": false,
"showRecommendedArticles": true,
"isOpenAccess": true,
"issueNum": "04",
"pubDate": "2006-07-01 00:00:00",
"pubType": "trans",
"pages": "419-420",
"year": "2006",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "trans/ts/1996/01/e0003",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1996/01/e0003/13rRUIJcWf7",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2013/05/ttb2013051199",
"title": "Guest Editorial for Special Section on BIOKDD",
"doi": null,
"abstractUrl": "/journal/tb/2013/05/ttb2013051199/13rRUILtJxU",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1361",
"title": "Guest Editorial: Special Section on Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1361/13rRUNvya9f",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/si/2008/10/04629337",
"title": "Guest Editorial Special Section on Application Specific Processors",
"doi": null,
"abstractUrl": "/journal/si/2008/10/04629337/13rRUwbaqXJ",
"parentPublication": {
"id": "trans/si",
"title": "IEEE Transactions on Very Large Scale Integration (VLSI) Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1983/02/01703027",
"title": "Guest Editorial: COMPSAC '81 Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1983/02/01703027/13rRUwh80It",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/2003/06/t0689",
"title": "Guest Editorial: Special Section on Wireless Internet",
"doi": null,
"abstractUrl": "/journal/tc/2003/06/t0689/13rRUwjGoKN",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1995/02/e0061",
"title": "Guest Editorial: Introduction to Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1995/02/e0061/13rRUx0Pqr6",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1999/06/e0782",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1999/06/e0782/13rRUxBa5z5",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/2003/11/l1057",
"title": "Guest Editorial: Special Section on Middleware Infrastructures",
"doi": null,
"abstractUrl": "/journal/td/2003/11/l1057/13rRUxcbnGD",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/lt/2017/01/07880729",
"title": "Guest Editorial: Special Section on Learning Analytics",
"doi": null,
"abstractUrl": "/journal/lt/2017/01/07880729/13rRUygT7bB",
"parentPublication": {
"id": "trans/lt",
"title": "IEEE Transactions on Learning Technologies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "v0417",
"articleId": "13rRUxBJhvi",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "v0421",
"articleId": "13rRUNvgziv",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvmXJ3P",
"title": "January/February",
"year": "2000",
"issueNum": "01",
"idPrefix": "tk",
"pubType": "journal",
"volume": "12",
"label": "January/February",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxcsYMc",
"doi": "10.1109/TKDE.2000.842245",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: Introduction to the Special Section",
"normalizedTitle": "Guest Editorial: Introduction to the Special Section",
"fno": "k0001",
"hasPdf": true,
"idPrefix": "tk",
"keywords": [],
"authors": [
{
"givenName": "Elisa",
"surname": "Bertino",
"fullName": "Elisa Bertino",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Susan D.",
"surname": "Urban",
"fullName": "Susan D. Urban",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2000-01-01 00:00:00",
"pubType": "trans",
"pages": "1-2",
"year": "2000",
"issn": "1041-4347",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "00842256",
"articleId": "13rRUwbs2bg",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "k0003",
"articleId": "13rRUwjGoLT",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvpew51",
"title": "July",
"year": "1998",
"issueNum": "07",
"idPrefix": "ts",
"pubType": "journal",
"volume": "24",
"label": "July",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUy3xY9L",
"doi": "10.1109/TSE.1998.10004",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: Introduction to the Special Section",
"normalizedTitle": "Guest Editorial: Introduction to the Special Section",
"fno": "e0497",
"hasPdf": true,
"idPrefix": "ts",
"keywords": [],
"authors": [],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "07",
"pubDate": "1998-07-01 00:00:00",
"pubType": "trans",
"pages": "497",
"year": "1998",
"issn": "0098-5589",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": null,
"next": {
"fno": "e0498",
"articleId": "13rRUwwslug",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNCwUmsF",
"title": "February",
"year": "1997",
"issueNum": "02",
"idPrefix": "ts",
"pubType": "journal",
"volume": "23",
"label": "February",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyeCkbV",
"doi": "10.1109/TSE.1997.10002",
"abstract": null,
"abstracts": [
{
"abstractType": "Regular",
"content": "",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": null,
"title": "Guest Editorial: Introduction to the Special Section",
"normalizedTitle": "Guest Editorial: Introduction to the Special Section",
"fno": "e0065",
"hasPdf": true,
"idPrefix": "ts",
"keywords": [],
"authors": [],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "1997-02-01 00:00:00",
"pubType": "trans",
"pages": "65-66",
"year": "1997",
"issn": "0098-5589",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": null,
"next": {
"fno": "e0067",
"articleId": "13rRUyeCkbW",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvTBB87",
"title": "Jan.-March",
"year": "2017",
"issueNum": "01",
"idPrefix": "lt",
"pubType": "journal",
"volume": "10",
"label": "Jan.-March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUygT7bB",
"doi": "10.1109/TLT.2017.2670999",
"abstract": null,
"abstracts": [],
"normalizedAbstract": null,
"title": "Guest Editorial: Special Section on Learning Analytics",
"normalizedTitle": "Guest Editorial: Special Section on Learning Analytics",
"fno": "07880729",
"hasPdf": true,
"idPrefix": "lt",
"keywords": [],
"authors": [
{
"givenName": "Dragan",
"surname": "Gašević",
"fullName": "Dragan Gašević",
"affiliation": "Moray House School of Education and School of Informatics, Edinburgh, United Kingdom",
"__typename": "ArticleAuthorType"
},
{
"givenName": "George",
"surname": "Siemens",
"fullName": "George Siemens",
"affiliation": "LINK Research Lab, University of Texas Arlington, Arlington, TX",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Carolyn Penstein",
"surname": "Rosé",
"fullName": "Carolyn Penstein Rosé",
"affiliation": "Language Technologies Institute and HCI Institute, Carnegie Mellon University, Pittsburgh, PA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": false,
"showRecommendedArticles": true,
"isOpenAccess": true,
"issueNum": "01",
"pubDate": "2017-01-01 00:00:00",
"pubType": "trans",
"pages": "3-5",
"year": "2017",
"issn": "1939-1382",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "trans/ts/1998/08/e0585",
"title": "Guest Editorial: Introduction To The Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1998/08/e0585/13rRUIJcWfa",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1361",
"title": "Guest Editorial: Special Section on Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1361/13rRUNvya9f",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1996/09/e0601",
"title": "Guest Editorial Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1996/09/e0601/13rRUwInvLb",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2014/05/06917105",
"title": "Guest Editorial for Special Section on BIOKDD2013",
"doi": null,
"abstractUrl": "/journal/tb/2014/05/06917105/13rRUwInvjI",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1998/11/e0906",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1998/11/e0906/13rRUwInvup",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1999/05/e0601",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1999/05/e0601/13rRUwfZBWV",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1983/02/01703027",
"title": "Guest Editorial: COMPSAC '81 Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1983/02/01703027/13rRUwh80It",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1995/02/e0061",
"title": "Guest Editorial: Introduction to Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1995/02/e0061/13rRUx0Pqr6",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1998/09/e0681",
"title": "Guest Editorial: Introduction to the Special Section",
"doi": null,
"abstractUrl": "/journal/ts/1998/09/e0681/13rRUxYrbWi",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07880724",
"articleId": "13rRUwj7crJ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07839177",
"articleId": "13rRUwbaqR2",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzFdtc6",
"title": "November/December",
"year": "2010",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "16",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwbs1St",
"doi": "10.1109/TVCG.2010.197",
"abstract": "An ongoing challenge for information visualization is how to deal with over-plotting forced by ties or the relatively limitedvisual field of display devices. A popular solution is to represent local data density with area (bubble plots, treemaps), color(heatmaps), or aggregation (histograms, kernel densities, pixel displays). All of these methods have at least one of three deficiencies:1) magnitude judgments are biased because area and color have convex downward perceptual functions, 2) area, hue, and brightnesshave relatively restricted ranges of perceptual intensity compared to length representations, and/or 3) it is difficult to brush or link toindividual cases when viewing aggregations. In this paper, we introduce a new technique for visualizing and interacting with datasetsthat preserves density information by stacking overlapping cases. The overlapping data can be points or lines or other geometricelements, depending on the type of plot. We show real-dataset applications of this stacking paradigm and compare them to othertechniques that deal with over-plotting in high-dimensional displays.",
"abstracts": [
{
"abstractType": "Regular",
"content": "An ongoing challenge for information visualization is how to deal with over-plotting forced by ties or the relatively limitedvisual field of display devices. A popular solution is to represent local data density with area (bubble plots, treemaps), color(heatmaps), or aggregation (histograms, kernel densities, pixel displays). All of these methods have at least one of three deficiencies:1) magnitude judgments are biased because area and color have convex downward perceptual functions, 2) area, hue, and brightnesshave relatively restricted ranges of perceptual intensity compared to length representations, and/or 3) it is difficult to brush or link toindividual cases when viewing aggregations. In this paper, we introduce a new technique for visualizing and interacting with datasetsthat preserves density information by stacking overlapping cases. The overlapping data can be points or lines or other geometricelements, depending on the type of plot. We show real-dataset applications of this stacking paradigm and compare them to othertechniques that deal with over-plotting in high-dimensional displays.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "An ongoing challenge for information visualization is how to deal with over-plotting forced by ties or the relatively limitedvisual field of display devices. A popular solution is to represent local data density with area (bubble plots, treemaps), color(heatmaps), or aggregation (histograms, kernel densities, pixel displays). All of these methods have at least one of three deficiencies:1) magnitude judgments are biased because area and color have convex downward perceptual functions, 2) area, hue, and brightnesshave relatively restricted ranges of perceptual intensity compared to length representations, and/or 3) it is difficult to brush or link toindividual cases when viewing aggregations. In this paper, we introduce a new technique for visualizing and interacting with datasetsthat preserves density information by stacking overlapping cases. The overlapping data can be points or lines or other geometricelements, depending on the type of plot. We show real-dataset applications of this stacking paradigm and compare them to othertechniques that deal with over-plotting in high-dimensional displays.",
"title": "Stacking Graphic Elements to Avoid Over-Plotting",
"normalizedTitle": "Stacking Graphic Elements to Avoid Over-Plotting",
"fno": "ttg2010061044",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Dot Plots",
"Parallel Coordinate Plots",
"Multidimensional Data",
"Density Based Visualization"
],
"authors": [
{
"givenName": "Tuan Nhon",
"surname": "Dang",
"fullName": "Tuan Nhon Dang",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Leland",
"surname": "Wilkinson",
"fullName": "Leland Wilkinson",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Anushka",
"surname": "Anand",
"fullName": "Anushka Anand",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2010-11-01 00:00:00",
"pubType": "trans",
"pages": "1044-1052",
"year": "2010",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "trans/tg/2006/05/v0837",
"title": "The Perceptual Scalability of Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2006/05/v0837/13rRUwjXZS3",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1363",
"title": "High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1363/13rRUx0xPIs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2010061036",
"articleId": "13rRUwkfAZd",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2010061027",
"articleId": "13rRUNvya9i",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvSbBJO",
"title": "March",
"year": "2013",
"issueNum": "03",
"idPrefix": "tg",
"pubType": "journal",
"volume": "19",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxYrbMd",
"doi": "10.1109/TVCG.2012.128",
"abstract": "We introduce a method (Scagnostic time series) and an application (TimeSeer) for organizing multivariate time series and for guiding interactive exploration through high-dimensional data. The method is based on nine characterizations of the 2D distributions of orthogonal pairwise projections on a set of points in multidimensional euclidean space. These characterizations include measures, such as, density, skewness, shape, outliers, and texture. Working directly with these Scagnostic measures, we can locate anomalous or interesting subseries for further analysis. Our application is designed to handle the types of doubly multivariate data series that are often found in security, financial, social, and other sectors.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We introduce a method (Scagnostic time series) and an application (TimeSeer) for organizing multivariate time series and for guiding interactive exploration through high-dimensional data. The method is based on nine characterizations of the 2D distributions of orthogonal pairwise projections on a set of points in multidimensional euclidean space. These characterizations include measures, such as, density, skewness, shape, outliers, and texture. Working directly with these Scagnostic measures, we can locate anomalous or interesting subseries for further analysis. Our application is designed to handle the types of doubly multivariate data series that are often found in security, financial, social, and other sectors.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We introduce a method (Scagnostic time series) and an application (TimeSeer) for organizing multivariate time series and for guiding interactive exploration through high-dimensional data. The method is based on nine characterizations of the 2D distributions of orthogonal pairwise projections on a set of points in multidimensional euclidean space. These characterizations include measures, such as, density, skewness, shape, outliers, and texture. Working directly with these Scagnostic measures, we can locate anomalous or interesting subseries for further analysis. Our application is designed to handle the types of doubly multivariate data series that are often found in security, financial, social, and other sectors.",
"title": "TimeSeer: Scagnostics for High-Dimensional Time Series",
"normalizedTitle": "TimeSeer: Scagnostics for High-Dimensional Time Series",
"fno": "ttg2013030470",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Time Series Analysis",
"Lenses",
"Shape",
"Length Measurement",
"Employment",
"Density Measurement",
"Visualization",
"Multiple Time Series",
"Scagnostics",
"Scatterplot Matrix",
"High Dimensional Visual Analytics"
],
"authors": [
{
"givenName": null,
"surname": "Tuan Nhon Dang",
"fullName": "Tuan Nhon Dang",
"affiliation": "Dept. of Comput. Sci., Univ. of Illinois at Chicago, Chicago, IL, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "A.",
"surname": "Anand",
"fullName": "A. Anand",
"affiliation": "Dept. of Comput. Sci., Univ. of Illinois at Chicago, Chicago, IL, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "L.",
"surname": "Wilkinson",
"fullName": "L. Wilkinson",
"affiliation": "Dept. of Comput. Sci., Univ. of Illinois at Chicago, Chicago, IL, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2013-03-01 00:00:00",
"pubType": "trans",
"pages": "470-483",
"year": "2013",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ichi/2018/5377/0/537701a163",
"title": "Learning a Dynamic-Based Representation for Multivariate Biomarker Time Series Classifications",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2018/537701a163/12OmNBfIhb9",
"parentPublication": {
"id": "proceedings/ichi/2018/5377/0",
"title": "2018 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2005/2790/0/01532142",
"title": "Graph-theoretic scagnostics",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2005/01532142/12OmNvjgWDl",
"parentPublication": {
"id": "proceedings/ieee-infovis/2005/2790/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2017/3013/0/3013a104",
"title": "A Shape Based Similarity Measure for Time Series Classification with Weighted Dynamic Time Warping Algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2017/3013a104/12OmNwpXRSO",
"parentPublication": {
"id": "proceedings/icisce/2017/3013/0",
"title": "2017 4th International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/infvis/2005/9464/0/01532142",
"title": "Graph-theoretic scagnostics",
"doi": null,
"abstractUrl": "/proceedings-article/infvis/2005/01532142/12OmNzSyCc7",
"parentPublication": {
"id": "proceedings/infvis/2005/9464/0",
"title": "IEEE Symposium on Information Visualization (InfoVis 05)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icbk/2017/3120/0/3120a103",
"title": "Granger Causality for Multivariate Time Series Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icbk/2017/3120a103/12OmNzahc9L",
"parentPublication": {
"id": "proceedings/icbk/2017/3120/0",
"title": "2017 IEEE International Conference on Big Knowledge (ICBK)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2014/5209/0/5209a900",
"title": "Computing Histogram of Tensor Images Using Orthogonal Series Density Estimation and Riemannian Metrics",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2014/5209a900/12OmNznkK47",
"parentPublication": {
"id": "proceedings/icpr/2014/5209/0",
"title": "2014 22nd International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1363",
"title": "High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1363/13rRUx0xPIs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08807247",
"title": "Improving the Robustness of Scagnostics",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08807247/1cG67fsQY0g",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2021/03/08812928",
"title": "Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering",
"doi": null,
"abstractUrl": "/journal/tk/2021/03/08812928/1cPWClUekEg",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigdataservice/2021/3483/0/348300a190",
"title": "A Similarity Measurement for Multivariate Time Series Based on Variable Clustering",
"doi": null,
"abstractUrl": "/proceedings-article/bigdataservice/2021/348300a190/1xNNqRvqFbO",
"parentPublication": {
"id": "proceedings/bigdataservice/2021/3483/0",
"title": "2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2013030460",
"articleId": "13rRUyv53Fq",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2013030484",
"articleId": "13rRUyfKIHL",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwGqBqg",
"title": "November/December",
"year": "2009",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "15",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwbs1Sr",
"doi": "10.1109/TVCG.2009.155",
"abstract": "The widespread use of computational simulation in science and engineering provides challenging research opportunities. Multiple independent variables are considered and large and complex data are computed, especially in the case of multi-run simulation. Classical visualization techniques deal well with 2D or 3D data and also with time-dependent data. Additional independent dimensions, however, provide interesting new challenges. We present an advanced visual analysis approach that enables a thorough investigation of families of data surfaces, i.e., datasets, with respect to pairs of independent dimensions. While it is almost trivial to visualize one such data surface, the visual exploration and analysis of many such data surfaces is a grand challenge, stressing the users’ perception and cognition. We propose an approach that integrates projections and aggregations of the data surfaces at different levels (one scalar aggregate per surface, a 1D profile per surface, or the surface as such). We demonstrate the necessity for a flexible visual analysis system that integrates many different (linked) views for making sense of this highly complex data. To demonstrate its usefulness, we exemplify our approach in the context of a meteorological multi-run simulation data case and in the context of the engineering domain, where our collaborators are working with the simulation of elastohydrodynamic (EHD) lubrication bearing in the automotive industry.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The widespread use of computational simulation in science and engineering provides challenging research opportunities. Multiple independent variables are considered and large and complex data are computed, especially in the case of multi-run simulation. Classical visualization techniques deal well with 2D or 3D data and also with time-dependent data. Additional independent dimensions, however, provide interesting new challenges. We present an advanced visual analysis approach that enables a thorough investigation of families of data surfaces, i.e., datasets, with respect to pairs of independent dimensions. While it is almost trivial to visualize one such data surface, the visual exploration and analysis of many such data surfaces is a grand challenge, stressing the users’ perception and cognition. We propose an approach that integrates projections and aggregations of the data surfaces at different levels (one scalar aggregate per surface, a 1D profile per surface, or the surface as such). We demonstrate the necessity for a flexible visual analysis system that integrates many different (linked) views for making sense of this highly complex data. To demonstrate its usefulness, we exemplify our approach in the context of a meteorological multi-run simulation data case and in the context of the engineering domain, where our collaborators are working with the simulation of elastohydrodynamic (EHD) lubrication bearing in the automotive industry.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The widespread use of computational simulation in science and engineering provides challenging research opportunities. Multiple independent variables are considered and large and complex data are computed, especially in the case of multi-run simulation. Classical visualization techniques deal well with 2D or 3D data and also with time-dependent data. Additional independent dimensions, however, provide interesting new challenges. We present an advanced visual analysis approach that enables a thorough investigation of families of data surfaces, i.e., datasets, with respect to pairs of independent dimensions. While it is almost trivial to visualize one such data surface, the visual exploration and analysis of many such data surfaces is a grand challenge, stressing the users’ perception and cognition. We propose an approach that integrates projections and aggregations of the data surfaces at different levels (one scalar aggregate per surface, a 1D profile per surface, or the surface as such). We demonstrate the necessity for a flexible visual analysis system that integrates many different (linked) views for making sense of this highly complex data. To demonstrate its usefulness, we exemplify our approach in the context of a meteorological multi-run simulation data case and in the context of the engineering domain, where our collaborators are working with the simulation of elastohydrodynamic (EHD) lubrication bearing in the automotive industry.",
"title": "Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces",
"normalizedTitle": "Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces",
"fno": "ttg2009061351",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Interactive Visual Analysis",
"Family Of Surfaces",
"Coordinated Multiple Views",
"Multidimensional Multivariate Data"
],
"authors": [
{
"givenName": "Kresimir",
"surname": "Matkovic",
"fullName": "Kresimir Matkovic",
"affiliation": "VRVis Research Center, Vienna, Austria",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Denis",
"surname": "Gracanin",
"fullName": "Denis Gracanin",
"affiliation": "Virginia Tech., Blacksburg, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Borislav",
"surname": "Klarin",
"fullName": "Borislav Klarin",
"affiliation": "AVL AST d. o. o., Zagreb, Croatia",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Helwig",
"surname": "Hauser",
"fullName": "Helwig Hauser",
"affiliation": "University of Bergen, Norway",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2009-11-01 00:00:00",
"pubType": "trans",
"pages": "1351-1358",
"year": "2009",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/pg/2002/1784/0/17840475",
"title": "Interactive Visualization of Non-Manifold Implicit Surfaces Using Pre-Integrated Volume Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/pg/2002/17840475/12OmNBqv2go",
"parentPublication": {
"id": "proceedings/pg/2002/1784/0",
"title": "Computer Graphics and Applications, Pacific Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgi/1999/0185/0/01850025",
"title": "A Field Interpolated Texture Mapping Algorithm for Skeletal Implicit Surfaces",
"doi": null,
"abstractUrl": "/proceedings-article/cgi/1999/01850025/12OmNBuL1dv",
"parentPublication": {
"id": "proceedings/cgi/1999/0185/0",
"title": "Computer Graphics International Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/1995/7042/0/70421078",
"title": "Reconstructing complex surfaces from multiple stereo views",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/1995/70421078/12OmNwCsdDz",
"parentPublication": {
"id": "proceedings/iccv/1995/7042/0",
"title": "Computer Vision, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgi/1997/7825/0/78250230",
"title": "Geodesic Voronoi Diagrams on Parametric Surfaces",
"doi": null,
"abstractUrl": "/proceedings-article/cgi/1997/78250230/12OmNwDACyS",
"parentPublication": {
"id": "proceedings/cgi/1997/7825/0",
"title": "Computer Graphics International Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3pgcic/2010/4237/0/4237a554",
"title": "Modeling and Simulation of the Wetting Process on Brushlike and Wavelike Nanorough Surfaces",
"doi": null,
"abstractUrl": "/proceedings-article/3pgcic/2010/4237a554/12OmNwF0C5u",
"parentPublication": {
"id": "proceedings/3pgcic/2010/4237/0",
"title": "P2P, Parallel, Grid, Cloud, and Internet Computing, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/27660064",
"title": "Visualizing intersecting surfaces with nested-surface techniques",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/27660064/12OmNwJybOG",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/1973/10/01672211",
"title": "Representation of Nonlinear Data Surfaces",
"doi": null,
"abstractUrl": "/journal/tc/1973/10/01672211/13rRUNvyajh",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009061267",
"title": "Time and Streak Surfaces for Flow Visualization in Large Time-Varying Data Sets",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009061267/13rRUxBa5bM",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2002/04/v0346",
"title": "Robust Creation of Implicit Surfaces from Polygonal Meshes",
"doi": null,
"abstractUrl": "/journal/tg/2002/04/v0346/13rRUxD9h4Y",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/07/ttg2011070934",
"title": "Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface",
"doi": null,
"abstractUrl": "/journal/tg/2011/07/ttg2011070934/13rRUy0HYRm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2009061343",
"articleId": "13rRUEgs2tn",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2009061359",
"articleId": "13rRUygBw74",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzw8iSJ",
"title": "January-March",
"year": "2000",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "6",
"label": "January-March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxASuG5",
"doi": "10.1109/2945.841120",
"abstract": "Abstract—We have developed a flexible software environment called ADVIZOR for visual information discovery. ADVIZOR complements existing assumptive-based analyses by providing a discovery-based approach. ADVIZOR consists of five parts: a rich set of flexible visual components, strategies for arranging the components for particular analyses, an in-memory data pool, data manipulation components, and container applications. Working together, ADVIZOR's architecture provides a powerful production platform for creating innovative visual query and analysis applications.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Abstract—We have developed a flexible software environment called ADVIZOR for visual information discovery. ADVIZOR complements existing assumptive-based analyses by providing a discovery-based approach. ADVIZOR consists of five parts: a rich set of flexible visual components, strategies for arranging the components for particular analyses, an in-memory data pool, data manipulation components, and container applications. Working together, ADVIZOR's architecture provides a powerful production platform for creating innovative visual query and analysis applications.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Abstract—We have developed a flexible software environment called ADVIZOR for visual information discovery. ADVIZOR complements existing assumptive-based analyses by providing a discovery-based approach. ADVIZOR consists of five parts: a rich set of flexible visual components, strategies for arranging the components for particular analyses, an in-memory data pool, data manipulation components, and container applications. Working together, ADVIZOR's architecture provides a powerful production platform for creating innovative visual query and analysis applications.",
"title": "Visual Discovery and Analysis",
"normalizedTitle": "Visual Discovery and Analysis",
"fno": "v0044",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Information Visualization",
"Data Analysis",
"Visual Design Patterns",
"Perspectives",
"Linked Views"
],
"authors": [
{
"givenName": "Stephen G.",
"surname": "Eick",
"fullName": "Stephen G. Eick",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2000-01-01 00:00:00",
"pubType": "trans",
"pages": "44-58",
"year": "2000",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "v0024",
"articleId": "13rRUxNW1TM",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "v0059",
"articleId": "13rRUwhHcJa",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwGqBqg",
"title": "November/December",
"year": "2009",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "15",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxD9gXA",
"doi": "10.1109/TVCG.2009.129",
"abstract": "Visual exploration of multidimensional data is a process of isolating and extracting relationships within and between dimensions. Coordinated multiple view approaches are particularly effective for visual exploration because they support precise expression of heterogeneous multidimensional queries using simple interactions. Recent visual analytics research has made significant progress in identifying and understanding patterns of composed views and coordinations that support fast, flexible, and open-ended data exploration. What is missing is formalization of the space of expressible queries in terms of visual representation and interaction. This paper introduces the Conjunctive Visual Form model in which visual exploration consists of interactively-driven sequences of transitions between visual states that correspond to conjunctive normal forms in boolean logic. The model predicts several new and useful ways to extend the space of rapidly expressible queries through addition of simple interactive capabilities to existing compositional patterns. Two recent related visual tools offer a subset of these capabilities, providing a basis for conjecturing about such extensions.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Visual exploration of multidimensional data is a process of isolating and extracting relationships within and between dimensions. Coordinated multiple view approaches are particularly effective for visual exploration because they support precise expression of heterogeneous multidimensional queries using simple interactions. Recent visual analytics research has made significant progress in identifying and understanding patterns of composed views and coordinations that support fast, flexible, and open-ended data exploration. What is missing is formalization of the space of expressible queries in terms of visual representation and interaction. This paper introduces the Conjunctive Visual Form model in which visual exploration consists of interactively-driven sequences of transitions between visual states that correspond to conjunctive normal forms in boolean logic. The model predicts several new and useful ways to extend the space of rapidly expressible queries through addition of simple interactive capabilities to existing compositional patterns. Two recent related visual tools offer a subset of these capabilities, providing a basis for conjecturing about such extensions.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Visual exploration of multidimensional data is a process of isolating and extracting relationships within and between dimensions. Coordinated multiple view approaches are particularly effective for visual exploration because they support precise expression of heterogeneous multidimensional queries using simple interactions. Recent visual analytics research has made significant progress in identifying and understanding patterns of composed views and coordinations that support fast, flexible, and open-ended data exploration. What is missing is formalization of the space of expressible queries in terms of visual representation and interaction. This paper introduces the Conjunctive Visual Form model in which visual exploration consists of interactively-driven sequences of transitions between visual states that correspond to conjunctive normal forms in boolean logic. The model predicts several new and useful ways to extend the space of rapidly expressible queries through addition of simple interactive capabilities to existing compositional patterns. Two recent related visual tools offer a subset of these capabilities, providing a basis for conjecturing about such extensions.",
"title": "Conjunctive Visual Forms",
"normalizedTitle": "Conjunctive Visual Forms",
"fno": "ttg2009060929",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Boolean Query",
"Brushing",
"Conjunctive Normal Form",
"Exploratory Visualization",
"Multiple Views",
"Visual Abstraction"
],
"authors": [
{
"givenName": "Chris",
"surname": "Weaver",
"fullName": "Chris Weaver",
"affiliation": "University of Oklahoma",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2009-11-01 00:00:00",
"pubType": "trans",
"pages": "929-936",
"year": "2009",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ispa/2010/4190/0/4190a458",
"title": "Efficient Processing of Conjunctive Queries in P2P DHTs Using Bloom Filter",
"doi": null,
"abstractUrl": "/proceedings-article/ispa/2010/4190a458/12OmNBiygwM",
"parentPublication": {
"id": "proceedings/ispa/2010/4190/0",
"title": "International Symposium on Parallel and Distributed Processing with Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2006/2602/0/26020151",
"title": "Towards Ubiquitous Brushing for Information Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2006/26020151/12OmNBqMDzb",
"parentPublication": {
"id": "proceedings/iv/2006/2602/0",
"title": "Tenth International Conference on Information Visualisation (IV'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmv/2006/2605/0/26050079",
"title": "Metavisual Exploration and Analysis of DEVise Coordination in Improvise",
"doi": null,
"abstractUrl": "/proceedings-article/cmv/2006/26050079/12OmNscfI0R",
"parentPublication": {
"id": "proceedings/cmv/2006/2605/0",
"title": "Coordinated and Multiple Views in Exploratory Visualization, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/1998/9172/0/91720706",
"title": "The Complexity of Acyclic Conjunctive Queries",
"doi": null,
"abstractUrl": "/proceedings-article/focs/1998/91720706/12OmNvAiSFU",
"parentPublication": {
"id": "proceedings/focs/1998/9172/0",
"title": "Proceedings 39th Annual Symposium on Foundations of Computer Science (Cat. No.98CB36280)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/1996/7240/0/72400048",
"title": "Query Folding",
"doi": null,
"abstractUrl": "/proceedings-article/icde/1996/72400048/12OmNvHY2I3",
"parentPublication": {
"id": "proceedings/icde/1996/7240/0",
"title": "Proceedings of the Twelfth International Conference on Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi-iat/2008/3496/3/3496c279",
"title": "Conjunctive Query Answering over an f-ALC Knowledge Base",
"doi": null,
"abstractUrl": "/proceedings-article/wi-iat/2008/3496c279/12OmNvSKNFV",
"parentPublication": {
"id": "proceedings/wi-iat/2008/3496/3",
"title": "Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cso/2009/3605/1/3605a560",
"title": "A Non-recursive Algorithm for Solving All Attribute Reductions",
"doi": null,
"abstractUrl": "/proceedings-article/cso/2009/3605a560/12OmNxEjYcS",
"parentPublication": {
"id": "cso/2009/3605/1",
"title": "2009 International Joint Conference on Computational Sciences and Optimization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1373",
"title": "Interactive Visual Analysis of Families of Function Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1373/13rRUwkfAZ9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/1996/04/k0604",
"title": "On Satisfiability, Equivalence, and Implication Problems Involving Conjunctive Queries in Database Systems",
"doi": null,
"abstractUrl": "/journal/tk/1996/04/k0604/13rRUxASuGu",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122070",
"title": "Visual Analysis of Higher-Order Conjunctive Relationships in Multidimensional Data Using a Hypergraph Query System",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122070/13rRUyYSWsW",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2009060913",
"articleId": "13rRUx0xPZw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2009060937",
"articleId": "13rRUzpzeB0",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBOUxmQ",
"title": "November/December",
"year": "2008",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "14",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxjQyp8",
"doi": "10.1109/TVCG.2008.131",
"abstract": "Parallel coordinate plots (PCPs) are commonly used in information visualization to provide insight into multi-variate data. These plots help to spot correlations between variables. PCPs have been successfully applied to unstructured datasets up to a few millions of points. In this paper, we present techniques to enhance the usability of PCPs for the exploration of large, multi-timepoint volumetric data sets, containing tens of millions of points per timestep. \r\rThe main difficulties that arise when applying PCPs to large numbers of data points are visual clutter and slow performance, making interactive exploration infeasible. Moreover, the spatial context of the volumetric \rdata is usually lost.\r\rWe describe techniques for preprocessing using data quantization and compression, and for fast GPU-based rendering of PCPs using joint density distributions for each pair of consecutive variables, resulting in a smooth, continuous visualization. Also, fast brushing techniques are proposed for interactive data selection in multiple linked views, including a 3D spatial volume view.\r\rThese techniques have been successfully applied to three large data sets: Hurricane Isabel (Vis'04 contest), the ionization front instability data set (Vis'08 design contest), and data from a large-eddy simulation of cumulus clouds. With these data, we show how PCPs can be extended to successfully visualize and interactively explore multi-timepoint volumetric datasets with an order of magnitude more data points.\r",
"abstracts": [
{
"abstractType": "Regular",
"content": "Parallel coordinate plots (PCPs) are commonly used in information visualization to provide insight into multi-variate data. These plots help to spot correlations between variables. PCPs have been successfully applied to unstructured datasets up to a few millions of points. In this paper, we present techniques to enhance the usability of PCPs for the exploration of large, multi-timepoint volumetric data sets, containing tens of millions of points per timestep. \r\rThe main difficulties that arise when applying PCPs to large numbers of data points are visual clutter and slow performance, making interactive exploration infeasible. Moreover, the spatial context of the volumetric \rdata is usually lost.\r\rWe describe techniques for preprocessing using data quantization and compression, and for fast GPU-based rendering of PCPs using joint density distributions for each pair of consecutive variables, resulting in a smooth, continuous visualization. Also, fast brushing techniques are proposed for interactive data selection in multiple linked views, including a 3D spatial volume view.\r\rThese techniques have been successfully applied to three large data sets: Hurricane Isabel (Vis'04 contest), the ionization front instability data set (Vis'08 design contest), and data from a large-eddy simulation of cumulus clouds. With these data, we show how PCPs can be extended to successfully visualize and interactively explore multi-timepoint volumetric datasets with an order of magnitude more data points.\r",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Parallel coordinate plots (PCPs) are commonly used in information visualization to provide insight into multi-variate data. These plots help to spot correlations between variables. PCPs have been successfully applied to unstructured datasets up to a few millions of points. In this paper, we present techniques to enhance the usability of PCPs for the exploration of large, multi-timepoint volumetric data sets, containing tens of millions of points per timestep. \r\rThe main difficulties that arise when applying PCPs to large numbers of data points are visual clutter and slow performance, making interactive exploration infeasible. Moreover, the spatial context of the volumetric \rdata is usually lost.\r\rWe describe techniques for preprocessing using data quantization and compression, and for fast GPU-based rendering of PCPs using joint density distributions for each pair of consecutive variables, resulting in a smooth, continuous visualization. Also, fast brushing techniques are proposed for interactive data selection in multiple linked views, including a 3D spatial volume view.\r\rThese techniques have been successfully applied to three large data sets: Hurricane Isabel (Vis'04 contest), the ionization front instability data set (Vis'08 design contest), and data from a large-eddy simulation of cumulus clouds. With these data, we show how PCPs can be extended to successfully visualize and interactively explore multi-timepoint volumetric datasets with an order of magnitude more data points.\r",
"title": "Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets",
"normalizedTitle": "Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets",
"fno": "ttg2008061436",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Index Terms Parallel Coordinate Plots",
"Time Varying",
"Multi Field",
"Linked Related Views"
],
"authors": [
{
"givenName": "Jorik",
"surname": "Blaas",
"fullName": "Jorik Blaas",
"affiliation": "TU Delft",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Charl",
"surname": "Botha",
"fullName": "Charl Botha",
"affiliation": "TU Delft",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Frits",
"surname": "Post",
"fullName": "Frits Post",
"affiliation": "TU Delft",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2008-11-01 00:00:00",
"pubType": "trans",
"pages": "1436-1451",
"year": "2008",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2004/2177/0/21770052",
"title": "Integration of Unsupervised Clustering, Interaction and Parallel Coordinates for the Exploration of Large Multivariate Data",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2004/21770052/12OmNAOKnQt",
"parentPublication": {
"id": "proceedings/iv/2004/2177/0",
"title": "Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2006/2602/0/26020151",
"title": "Towards Ubiquitous Brushing for Information Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2006/26020151/12OmNBqMDzb",
"parentPublication": {
"id": "proceedings/iv/2006/2602/0",
"title": "Tenth International Conference on Information Visualisation (IV'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmv/2004/2179/0/21790049",
"title": "Interactive Focus+Context Visualization with Linked 2D/3D Scatterplots",
"doi": null,
"abstractUrl": "/proceedings-article/cmv/2004/21790049/12OmNBtl1vO",
"parentPublication": {
"id": "proceedings/cmv/2004/2179/0",
"title": "Proceedings. Second International Conference on Coordinated & Multiple Views in Exploratory Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vv/2002/7641/0/76410089",
"title": "Feature Based Volumetric Video Compression for Interactive Playback",
"doi": null,
"abstractUrl": "/proceedings-article/vv/2002/76410089/12OmNqJZgxK",
"parentPublication": {
"id": "proceedings/vv/2002/7641/0",
"title": "Volume Visualization and Graphics, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmv/2003/2001/0/20010063",
"title": "Combining Parallel Coordinates with the Reorderable Matrix",
"doi": null,
"abstractUrl": "/proceedings-article/cmv/2003/20010063/12OmNz4SOtr",
"parentPublication": {
"id": "proceedings/cmv/2003/2001/0",
"title": "Coordinated and Multiple Views in Exploratory Visualization, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061044",
"title": "Stacking Graphic Elements to Avoid Over-Plotting",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061044/13rRUwbs1St",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1373",
"title": "Interactive Visual Analysis of Families of Function Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1373/13rRUwkfAZ9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/09/06171180",
"title": "Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates",
"doi": null,
"abstractUrl": "/journal/tg/2012/09/06171180/13rRUwwJWFL",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1363",
"title": "High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1363/13rRUx0xPIs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2007/06/v1544",
"title": "LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation",
"doi": null,
"abstractUrl": "/journal/tg/2007/06/v1544/13rRUxYIN41",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2008061428",
"articleId": "13rRUyYjK5e",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2008061444",
"articleId": "13rRUxAASSY",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXWRRj",
"name": "ttg2008061436.avi",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2008061436.avi",
"extension": "avi",
"size": "28.6 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBOUxmQ",
"title": "November/December",
"year": "2008",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "14",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxly8Xz",
"doi": "10.1109/TVCG.2008.116",
"abstract": "The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables\rsimultaneously at each position using glyph-based approaches or use linked views for the interaction between attribute space and\rphysical domain such as brushing of scatterplots. Most visualizations of the attribute space are either difficult to understand or suffer\rfrom visual clutter. We propose a transformation of the high-dimensional data in attribute space to 2D that results in a point cloud,\rcalled attribute cloud, such that points with similar multivariate attributes are located close to each other. The transformation is\rbased on ideas from multivariate density estimation and manifold learning. The resulting attribute cloud is an easy to understand\rvisualization of multivariate data in two dimensions. We explain several techniques to incorporate additional information into the\rattribute cloud, that help the user get a better understanding of multivariate data. Using different examples from fluid dynamics and\rclimate simulation, we show how brushing can be used to explore the attribute cloud and find interesting structures in physical space.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables\rsimultaneously at each position using glyph-based approaches or use linked views for the interaction between attribute space and\rphysical domain such as brushing of scatterplots. Most visualizations of the attribute space are either difficult to understand or suffer\rfrom visual clutter. We propose a transformation of the high-dimensional data in attribute space to 2D that results in a point cloud,\rcalled attribute cloud, such that points with similar multivariate attributes are located close to each other. The transformation is\rbased on ideas from multivariate density estimation and manifold learning. The resulting attribute cloud is an easy to understand\rvisualization of multivariate data in two dimensions. We explain several techniques to incorporate additional information into the\rattribute cloud, that help the user get a better understanding of multivariate data. Using different examples from fluid dynamics and\rclimate simulation, we show how brushing can be used to explore the attribute cloud and find interesting structures in physical space.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables\rsimultaneously at each position using glyph-based approaches or use linked views for the interaction between attribute space and\rphysical domain such as brushing of scatterplots. Most visualizations of the attribute space are either difficult to understand or suffer\rfrom visual clutter. We propose a transformation of the high-dimensional data in attribute space to 2D that results in a point cloud,\rcalled attribute cloud, such that points with similar multivariate attributes are located close to each other. The transformation is\rbased on ideas from multivariate density estimation and manifold learning. The resulting attribute cloud is an easy to understand\rvisualization of multivariate data in two dimensions. We explain several techniques to incorporate additional information into the\rattribute cloud, that help the user get a better understanding of multivariate data. Using different examples from fluid dynamics and\rclimate simulation, we show how brushing can be used to explore the attribute cloud and find interesting structures in physical space.",
"title": "Brushing of Attribute Clouds for the Visualization of Multivariate Data",
"normalizedTitle": "Brushing of Attribute Clouds for the Visualization of Multivariate Data",
"fno": "ttg2008061459",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Index Terms Multivariate Data",
"Brushing",
"Data Transformation",
"Manifold Learning",
"Linked Views"
],
"authors": [
{
"givenName": "Heike",
"surname": "Jänicke",
"fullName": "Heike Jänicke",
"affiliation": "University of Leipzig",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Michael",
"surname": "Böttinger",
"fullName": "Michael Böttinger",
"affiliation": "German Climate Computing Centre (DKRZ)",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Gerik",
"surname": "Scheuermann",
"fullName": "Gerik Scheuermann",
"affiliation": "University of Leipzig",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2008-11-01 00:00:00",
"pubType": "trans",
"pages": "1459-1466",
"year": "2008",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ieee-vis/1995/7187/0/71870271",
"title": "High Dimensional Brushing for Interactive Exploration of Multivariate Data",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/1995/71870271/12OmNBdJ5iK",
"parentPublication": {
"id": "proceedings/ieee-vis/1995/7187/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2006/2602/0/26020151",
"title": "Towards Ubiquitous Brushing for Information Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2006/26020151/12OmNBqMDzb",
"parentPublication": {
"id": "proceedings/iv/2006/2602/0",
"title": "Tenth International Conference on Information Visualisation (IV'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmv/2004/2179/0/21790049",
"title": "Interactive Focus+Context Visualization with Linked 2D/3D Scatterplots",
"doi": null,
"abstractUrl": "/proceedings-article/cmv/2004/21790049/12OmNBtl1vO",
"parentPublication": {
"id": "proceedings/cmv/2004/2179/0",
"title": "Proceedings. Second International Conference on Coordinated & Multiple Views in Exploratory Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/1997/8262/0/82620111",
"title": "Multivariate visualization using metric scaling",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/1997/82620111/12OmNqOwQJt",
"parentPublication": {
"id": "proceedings/ieee-vis/1997/8262/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/apvis/2007/0808/0/04126215",
"title": "GraphScape: integrated multivariate network visualization",
"doi": null,
"abstractUrl": "/proceedings-article/apvis/2007/04126215/12OmNrJAdV8",
"parentPublication": {
"id": "proceedings/apvis/2007/0808/0",
"title": "Asia-Pacific Symposium on Visualisation 2007",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmv/2005/2396/0/23960054",
"title": "Interactive Visual Analysis of Multi-Parameter Families of Function Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/cmv/2005/23960054/12OmNyp9MkT",
"parentPublication": {
"id": "proceedings/cmv/2005/2396/0",
"title": "Proceedings. Third International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2005)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icita/2005/2316/1/231610167",
"title": "Multivariate Interdependent Discretization for Continuous Attribute",
"doi": null,
"abstractUrl": "/proceedings-article/icita/2005/231610167/12OmNzlD9EV",
"parentPublication": {
"id": "proceedings/icita/2005/2316/1",
"title": "Proceedings. Third International Conference on Information Technology and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1373",
"title": "Interactive Visual Analysis of Families of Function Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1373/13rRUwkfAZ9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/12/ttg2011122310",
"title": "Flexible Linked Axes for Multivariate Data Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2011/12/ttg2011122310/13rRUxD9h54",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010060980",
"title": "Matching Visual Saliency to Confidence in Plots of Uncertain Data",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010060980/13rRUxZRbnY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2008061452",
"articleId": "13rRUyYBlgu",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2008061467",
"articleId": "13rRUxjQyvd",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNCm7Bxu",
"title": "July",
"year": "2011",
"issueNum": "07",
"idPrefix": "tg",
"pubType": "journal",
"volume": "17",
"label": "July",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUy0HYRm",
"doi": "10.1109/TVCG.2010.111",
"abstract": "We present a systematic approach to the interactive visual analysis of heterogeneous scientific data. The data consist of two interrelated parts given on spatial grids over time (e.g., atmosphere and ocean part from a coupled climate model). By integrating both data parts in a framework of coordinated multiple views (with linking and brushing), the joint investigation of features across the data parts is enabled. An interface is constructed between the data parts that specifies 1) which grid cells in one part are related to grid cells in the other part, and vice versa, 2) how selections (in terms of feature extraction via brushing) are transferred between the two parts, and 3) how an update mechanism keeps the feature specification in both data parts consistent during the analysis. We also propose strategies for visual analysis that result in an iterative refinement of features specified across both data parts. Our approach is demonstrated in the context of a complex simulation of fluid-structure interaction and a multirun climate simulation.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We present a systematic approach to the interactive visual analysis of heterogeneous scientific data. The data consist of two interrelated parts given on spatial grids over time (e.g., atmosphere and ocean part from a coupled climate model). By integrating both data parts in a framework of coordinated multiple views (with linking and brushing), the joint investigation of features across the data parts is enabled. An interface is constructed between the data parts that specifies 1) which grid cells in one part are related to grid cells in the other part, and vice versa, 2) how selections (in terms of feature extraction via brushing) are transferred between the two parts, and 3) how an update mechanism keeps the feature specification in both data parts consistent during the analysis. We also propose strategies for visual analysis that result in an iterative refinement of features specified across both data parts. Our approach is demonstrated in the context of a complex simulation of fluid-structure interaction and a multirun climate simulation.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We present a systematic approach to the interactive visual analysis of heterogeneous scientific data. The data consist of two interrelated parts given on spatial grids over time (e.g., atmosphere and ocean part from a coupled climate model). By integrating both data parts in a framework of coordinated multiple views (with linking and brushing), the joint investigation of features across the data parts is enabled. An interface is constructed between the data parts that specifies 1) which grid cells in one part are related to grid cells in the other part, and vice versa, 2) how selections (in terms of feature extraction via brushing) are transferred between the two parts, and 3) how an update mechanism keeps the feature specification in both data parts consistent during the analysis. We also propose strategies for visual analysis that result in an iterative refinement of features specified across both data parts. Our approach is demonstrated in the context of a complex simulation of fluid-structure interaction and a multirun climate simulation.",
"title": "Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface",
"normalizedTitle": "Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface",
"fno": "ttg2011070934",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Interactive Visual Analysis",
"Heterogeneous Scientific Data",
"Coordinated Multiple Views"
],
"authors": [
{
"givenName": "Johannes",
"surname": "Kehrer",
"fullName": "Johannes Kehrer",
"affiliation": "University of Bergen, Bergen",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Philipp",
"surname": "Muigg",
"fullName": "Philipp Muigg",
"affiliation": "SimVis GmbH and Vienna University of Technology, Vienna",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Helmut",
"surname": "Doleisch",
"fullName": "Helmut Doleisch",
"affiliation": "SimVis GmbH, Vienna",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Helwig",
"surname": "Hauser",
"fullName": "Helwig Hauser",
"affiliation": "University of Bergen, Bergen",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "07",
"pubDate": "2011-07-01 00:00:00",
"pubType": "trans",
"pages": "934-946",
"year": "2011",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ispdc/2004/2210/0/22100338",
"title": "Parallelization of the GNU Scientific Library on Heterogeneous Systems",
"doi": null,
"abstractUrl": "/proceedings-article/ispdc/2004/22100338/12OmNCdBDGv",
"parentPublication": {
"id": "proceedings/ispdc/2004/2210/0",
"title": "Parallel and Distributed Computing, International Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmv/2003/2001/0/20010095",
"title": "Coordinated Views in Dynamic Interactive Documents",
"doi": null,
"abstractUrl": "/proceedings-article/cmv/2003/20010095/12OmNy5R3zQ",
"parentPublication": {
"id": "proceedings/cmv/2003/2001/0",
"title": "Coordinated and Multiple Views in Exploratory Visualization, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmv/2005/2396/0/23960054",
"title": "Interactive Visual Analysis of Multi-Parameter Families of Function Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/cmv/2005/23960054/12OmNyp9MkT",
"parentPublication": {
"id": "proceedings/cmv/2005/2396/0",
"title": "Proceedings. Third International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2005)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061340",
"title": "Interactive Visual Analysis of Set-Typed Data",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061340/13rRUIM2VGX",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009061351",
"title": "Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009061351/13rRUwbs1Sr",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mu/2015/01/mmu2015010041",
"title": "Designing an Interactive Audio Interface for Climate Science",
"doi": null,
"abstractUrl": "/magazine/mu/2015/01/mmu2015010041/13rRUwdrdMQ",
"parentPublication": {
"id": "mags/mu",
"title": "IEEE MultiMedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009061383",
"title": "Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009061383/13rRUwfI0Q3",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/02/ttg2010020192",
"title": "Cross-Filtered Views for Multidimensional Visual Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2010/02/ttg2010020192/13rRUxBa5bO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/12/ttg2011122291",
"title": "VisBricks: Multiform Visualization of Large, Inhomogeneous Data",
"doi": null,
"abstractUrl": "/journal/tg/2011/12/ttg2011122291/13rRUxBa5bT",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061459",
"title": "Brushing of Attribute Clouds for the Visualization of Multivariate Data",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061459/13rRUxly8Xz",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2011070900",
"articleId": "13rRUytWF9h",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2011070947",
"articleId": "13rRUygT7sz",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXFgN3",
"name": "ttg2011070934s.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2011070934s.mp4",
"extension": "mp4",
"size": "22.3 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBfIhaQ",
"title": "July-Aug.",
"year": "2012",
"issueNum": "04",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "32",
"label": "July-Aug.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUILLkpN",
"doi": "10.1109/MCG.2012.62",
"abstract": "Visual analytics (VA), which combines analytical techniques with advanced visualization features, is fast becoming a standard tool for extracting information from graph data. Researchers have developed many tools for this purpose, suggesting a need for formal methods to guide these tools' creation. Increased data demands on computing requires redesigning VA tools to consider performance and reliability in the context of analysis of exascale datasets. Furthermore, visual analysts need a way to document their analyses for reuse and results justification. A VA graph framework encapsulated in a graph algebra helps address these needs. Its atomic operators include selection and aggregation. The framework employs a visual operator and supports dynamic attributes of data to enable scalable visual exploration of data.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Visual analytics (VA), which combines analytical techniques with advanced visualization features, is fast becoming a standard tool for extracting information from graph data. Researchers have developed many tools for this purpose, suggesting a need for formal methods to guide these tools' creation. Increased data demands on computing requires redesigning VA tools to consider performance and reliability in the context of analysis of exascale datasets. Furthermore, visual analysts need a way to document their analyses for reuse and results justification. A VA graph framework encapsulated in a graph algebra helps address these needs. Its atomic operators include selection and aggregation. The framework employs a visual operator and supports dynamic attributes of data to enable scalable visual exploration of data.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Visual analytics (VA), which combines analytical techniques with advanced visualization features, is fast becoming a standard tool for extracting information from graph data. Researchers have developed many tools for this purpose, suggesting a need for formal methods to guide these tools' creation. Increased data demands on computing requires redesigning VA tools to consider performance and reliability in the context of analysis of exascale datasets. Furthermore, visual analysts need a way to document their analyses for reuse and results justification. A VA graph framework encapsulated in a graph algebra helps address these needs. Its atomic operators include selection and aggregation. The framework employs a visual operator and supports dynamic attributes of data to enable scalable visual exploration of data.",
"title": "A Graph Algebra for Scalable Visual Analytics",
"normalizedTitle": "A Graph Algebra for Scalable Visual Analytics",
"fno": "mcg2012040026",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Visualization",
"Visual Analytics",
"Algebra",
"Image Color Analysis",
"Extreme Scale Visual Analytics",
"Data Visualization",
"Visual Analytics",
"Algebra",
"Image Color Analysis",
"Computer Graphics",
"Data Visualization",
"Visual Analytics",
"Algebra",
"Xenon",
"Image Color Analysis",
"Educational Institutions",
"Graph Algebra",
"Visual Analytics",
"Exascale"
],
"authors": [
{
"givenName": "Anna A.",
"surname": "Shaverdian",
"fullName": "Anna A. Shaverdian",
"affiliation": "University of Michigan",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Hao",
"surname": "Zhou",
"fullName": "Hao Zhou",
"affiliation": "University of Michigan",
"__typename": "ArticleAuthorType"
},
{
"givenName": "George",
"surname": "Michailidis",
"fullName": "George Michailidis",
"affiliation": "University of Michigan",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Hosagrahar V.",
"surname": "Jagadish",
"fullName": "Hosagrahar V. Jagadish",
"affiliation": "University of Michigan",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2012-07-01 00:00:00",
"pubType": "mags",
"pages": "26-33",
"year": "2012",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vast/2006/0591/0/04035767",
"title": "Visual Analytics Education",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2006/04035767/12OmNA14Aii",
"parentPublication": {
"id": "proceedings/vast/2006/0591/0",
"title": "2006 IEEE Symposium On Visual Analytics Science And Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/re/2013/5765/0/06636762",
"title": "Visual analytics for software requirements engineering",
"doi": null,
"abstractUrl": "/proceedings-article/re/2013/06636762/12OmNrJ11yp",
"parentPublication": {
"id": "proceedings/re/2013/5765/0",
"title": "2013 IEEE 21st International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2013/4892/0/4892c416",
"title": "Visual Analytics for Public Health: Supporting Knowledge Construction and Decision-Making",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2013/4892c416/12OmNrJiCNq",
"parentPublication": {
"id": "proceedings/hicss/2013/4892/0",
"title": "2013 46th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/01/07534883",
"title": "Characterizing Guidance in Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2017/01/07534883/13rRUxBa568",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040063",
"title": "The Top 10 Challenges in Extreme-Scale Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040063/13rRUxC0SGA",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040023",
"title": "Extreme-Scale Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040023/13rRUxjQyxF",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2015/03/06908006",
"title": "Personal Visualization and Personal Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2015/03/06908006/13rRUyYBlgA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trex/2020/8514/0/851400a009",
"title": "Beyond Trust Building — Calibrating Trust in Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/trex/2020/851400a009/1pXm2QUw2ek",
"parentPublication": {
"id": "proceedings/trex/2020/8514/0",
"title": "2020 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a081",
"title": "Designing for Ambiguity: Visual Analytics in Avalanche Forecasting",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a081/1qROrjfqgSI",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2020/9134/0/913400a368",
"title": "A Characterization of Data Exchange between Visual Analytics Tools",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2020/913400a368/1rSRaA2LJBK",
"parentPublication": {
"id": "proceedings/iv/2020/9134/0",
"title": "2020 24th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2012040023",
"articleId": "13rRUxjQyxF",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2012040034",
"articleId": "13rRUwcS1uW",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAgY7ps",
"title": "Sept.-Oct.",
"year": "2011",
"issueNum": "05",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "31",
"label": "Sept.-Oct.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxASu6j",
"doi": "10.1109/MCG.2011.72",
"abstract": "Graph analytics is one of the most influential and important R&D topics in the visual analytics community. Researchers with diverse backgrounds from information visualization, human-computer interaction, computer graphics, graph drawing, and data mining have pursued graph analytics from scientific, technical, and social approaches. These studies have addressed both distinct and common challenges. Past successes and mistakes can provide valuable lessons for revising the research agenda. In this article, six researchers from four academic and research institutes identify graph analytics' fundamental challenges and present both insightful lessons learned from their experience and good practices in graph analytics research. The goal is to critically assess those lessons and shed light on how they can stimulate research and draw attention to grand challenges for graph analytics. The article also establishes principles that could lead to measurable standards and criteria for research.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Graph analytics is one of the most influential and important R&D topics in the visual analytics community. Researchers with diverse backgrounds from information visualization, human-computer interaction, computer graphics, graph drawing, and data mining have pursued graph analytics from scientific, technical, and social approaches. These studies have addressed both distinct and common challenges. Past successes and mistakes can provide valuable lessons for revising the research agenda. In this article, six researchers from four academic and research institutes identify graph analytics' fundamental challenges and present both insightful lessons learned from their experience and good practices in graph analytics research. The goal is to critically assess those lessons and shed light on how they can stimulate research and draw attention to grand challenges for graph analytics. The article also establishes principles that could lead to measurable standards and criteria for research.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Graph analytics is one of the most influential and important R&D topics in the visual analytics community. Researchers with diverse backgrounds from information visualization, human-computer interaction, computer graphics, graph drawing, and data mining have pursued graph analytics from scientific, technical, and social approaches. These studies have addressed both distinct and common challenges. Past successes and mistakes can provide valuable lessons for revising the research agenda. In this article, six researchers from four academic and research institutes identify graph analytics' fundamental challenges and present both insightful lessons learned from their experience and good practices in graph analytics research. The goal is to critically assess those lessons and shed light on how they can stimulate research and draw attention to grand challenges for graph analytics. The article also establishes principles that could lead to measurable standards and criteria for research.",
"title": "Graph Analytics—Lessons Learned and Challenges Ahead",
"normalizedTitle": "Graph Analytics—Lessons Learned and Challenges Ahead",
"fno": "mcg2011050018",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Citation Analysis",
"Data Visualisation",
"Knowledge Management",
"Power Engineering Computing",
"Power Grids",
"Social Networking Online",
"Text Analysis",
"Graph Analytics",
"Electric Power Grid Analytics",
"Social Network Analytics",
"Citation Analytics",
"Text Analytics",
"Document Analytics",
"Knowledge Domain Analytics",
"Data Visualization",
"Power Grids",
"Visual Analytics",
"Green Products",
"Data Mining",
"Tools"
],
"authors": [
{
"givenName": "Pak Chung",
"surname": "Wong",
"fullName": "Pak Chung Wong",
"affiliation": "Pacific Northwest National Laboratory",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Chaomei",
"surname": "Chen",
"fullName": "Chaomei Chen",
"affiliation": "Drexel University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Carsten",
"surname": "Gorg",
"fullName": "Carsten Gorg",
"affiliation": "University of Colorado Denver",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ben",
"surname": "Shneiderman",
"fullName": "Ben Shneiderman",
"affiliation": "University of Maryland",
"__typename": "ArticleAuthorType"
},
{
"givenName": "John",
"surname": "Stasko",
"fullName": "John Stasko",
"affiliation": "Georgia Institute of Technology",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jim",
"surname": "Thomas",
"fullName": "Jim Thomas",
"affiliation": "Pacific Northwest National Laboratory",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "05",
"pubDate": "2011-09-01 00:00:00",
"pubType": "mags",
"pages": "18-29",
"year": "2011",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/sccompanion/2012/4956/0/4956b312",
"title": "Data Challenges in High-Performance Risk Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/sccompanion/2012/4956b312/12OmNBa2iCG",
"parentPublication": {
"id": "proceedings/sccompanion/2012/4956/0",
"title": "2012 SC Companion: High Performance Computing, Networking Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bdva/2015/7343/0/07314288",
"title": "Challenges and Perspectives in Big Eye-Movement Data Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/bdva/2015/07314288/12OmNButq1p",
"parentPublication": {
"id": "proceedings/bdva/2015/7343/0",
"title": "2015 Big Data Visual Analytics (BDVA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/msr/2015/5594/0/5594a191",
"title": "Lessons Learned from Building and Deploying a Code Review Analytics Platform",
"doi": null,
"abstractUrl": "/proceedings-article/msr/2015/5594a191/12OmNrAMF2Z",
"parentPublication": {
"id": "proceedings/msr/2015/5594/0",
"title": "2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2006/0591/0/04035749",
"title": "Have Green ? A Visual Analytics Framework for Large Semantic Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2006/04035749/12OmNzQzqgi",
"parentPublication": {
"id": "proceedings/vast/2006/0591/0",
"title": "2006 IEEE Symposium On Visual Analytics Science And Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/so/1989/01/s1044",
"title": "Human-Computer Interaction Software: Lessons Learned, Challenges Ahead",
"doi": null,
"abstractUrl": "/magazine/so/1989/01/s1044/13rRUEgarze",
"parentPublication": {
"id": "mags/so",
"title": "IEEE Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040063",
"title": "The Top 10 Challenges in Extreme-Scale Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040063/13rRUxC0SGA",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2018/7202/0/720200a241",
"title": "Cartographies of the Legal World. Rise and Challenges of Visual Legal Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2018/720200a241/17D45WrVg8T",
"parentPublication": {
"id": "proceedings/iv/2018/7202/0",
"title": "2018 22nd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/03/08651386",
"title": "Immersive Analytics Lessons From the Electronic Visualization Laboratory: A 25-Year Perspective",
"doi": null,
"abstractUrl": "/magazine/cg/2019/03/08651386/17WX57pKuPK",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cloud-summit/2022/5113/0/511300a023",
"title": "Towards Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe",
"doi": null,
"abstractUrl": "/proceedings-article/cloud-summit/2022/511300a023/1J4CdWlSYa4",
"parentPublication": {
"id": "proceedings/cloud-summit/2022/5113/0",
"title": "2022 IEEE Cloud Summit",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cs/2021/03/09459443",
"title": "Visual Analytics Review: An Early and Continuing Success of Convergent Research With Impact",
"doi": null,
"abstractUrl": "/magazine/cs/2021/03/09459443/1uvzWEEbavK",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2011050014",
"articleId": "13rRUx0xPOe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2011050030",
"articleId": "13rRUEgarDI",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAlvHDC",
"title": "June",
"year": "2013",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "19",
"label": "June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxd2aYZ",
"doi": "10.1109/TVCG.2012.172",
"abstract": "Community structure is an important characteristic of many real networks, which shows high concentrations of edges within special groups of vertices and low concentrations between these groups. Community related graph analysis, such as discovering relationships among communities, identifying attribute-structure relationships, and selecting a large number of vertices with desired structural features and attributes, are common tasks in knowledge discovery in such networks. The clutter and the lack of interactivity often hinder efforts to apply traditional graph visualization techniques in these tasks. In this paper, we propose PIWI, a novel graph visual analytics approach to these tasks. Instead of using Node-Link Diagrams (NLDs), PIWI provides coordinated, uncluttered visualizations, and novel interactions based on graph community structure. The novel features, applicability, and limitations of this new technique have been discussed in detail. A set of case studies and preliminary user studies have been conducted with real graphs containing thousands of vertices, which provide supportive evidence about the usefulness of PIWI in community related tasks.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Community structure is an important characteristic of many real networks, which shows high concentrations of edges within special groups of vertices and low concentrations between these groups. Community related graph analysis, such as discovering relationships among communities, identifying attribute-structure relationships, and selecting a large number of vertices with desired structural features and attributes, are common tasks in knowledge discovery in such networks. The clutter and the lack of interactivity often hinder efforts to apply traditional graph visualization techniques in these tasks. In this paper, we propose PIWI, a novel graph visual analytics approach to these tasks. Instead of using Node-Link Diagrams (NLDs), PIWI provides coordinated, uncluttered visualizations, and novel interactions based on graph community structure. The novel features, applicability, and limitations of this new technique have been discussed in detail. A set of case studies and preliminary user studies have been conducted with real graphs containing thousands of vertices, which provide supportive evidence about the usefulness of PIWI in community related tasks.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Community structure is an important characteristic of many real networks, which shows high concentrations of edges within special groups of vertices and low concentrations between these groups. Community related graph analysis, such as discovering relationships among communities, identifying attribute-structure relationships, and selecting a large number of vertices with desired structural features and attributes, are common tasks in knowledge discovery in such networks. The clutter and the lack of interactivity often hinder efforts to apply traditional graph visualization techniques in these tasks. In this paper, we propose PIWI, a novel graph visual analytics approach to these tasks. Instead of using Node-Link Diagrams (NLDs), PIWI provides coordinated, uncluttered visualizations, and novel interactions based on graph community structure. The novel features, applicability, and limitations of this new technique have been discussed in detail. A set of case studies and preliminary user studies have been conducted with real graphs containing thousands of vertices, which provide supportive evidence about the usefulness of PIWI in community related tasks.",
"title": "PIWI: Visually Exploring Graphs Based on Their Community Structure",
"normalizedTitle": "PIWI: Visually Exploring Graphs Based on Their Community Structure",
"fno": "ttg2013061034",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Communities",
"Tag Clouds",
"Visual Analytics",
"Data Visualization",
"Color",
"Measurement",
"Community Structure",
"Information Visualization",
"Visual Analytics",
"Graph Visualization"
],
"authors": [
{
"givenName": null,
"surname": "Jing Yang",
"fullName": "Jing Yang",
"affiliation": "Dept. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Yujie Liu",
"fullName": "Yujie Liu",
"affiliation": "Dept. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Xin Zhang",
"fullName": "Xin Zhang",
"affiliation": "Key Lab. of Machine Perception (Minister of Educ.), Peking Univ., Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Xiaoru Yuan",
"fullName": "Xiaoru Yuan",
"affiliation": "Key Lab. of Machine Perception (Minister of Educ.), Peking Univ., Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Ye Zhao",
"fullName": "Ye Zhao",
"affiliation": "Dept. of Comput. Sci., Kent State Univ., Kent, OH, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "S.",
"surname": "Barlowe",
"fullName": "S. Barlowe",
"affiliation": "Dept. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Shixia Liu",
"fullName": "Shixia Liu",
"affiliation": "Microsoft Res. Asia, Beijing, China",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2013-06-01 00:00:00",
"pubType": "trans",
"pages": "1034-1047",
"year": "2013",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/paciia/2008/3490/2/3490c014",
"title": "Blog Community Discovery Based on Tag Data Clustering",
"doi": null,
"abstractUrl": "/proceedings-article/paciia/2008/3490c014/12OmNAq3hMc",
"parentPublication": {
"id": "paciia/2008/3490/2",
"title": "Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi-iat/2011/4513/1/4513a316",
"title": "Exploring the Community Set Space",
"doi": null,
"abstractUrl": "/proceedings-article/wi-iat/2011/4513a316/12OmNC2OSK5",
"parentPublication": {
"id": "proceedings/wi-iat/2011/4513/1",
"title": "Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asonam/2015/3854/0/07403595",
"title": "A dynamic algorithm for local community detection in graphs",
"doi": null,
"abstractUrl": "/proceedings-article/asonam/2015/07403595/12OmNs0C9GL",
"parentPublication": {
"id": "proceedings/asonam/2015/3854/0",
"title": "2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2005/2790/0/27900030",
"title": "Visualization of Graphs with Associated Timeseries Data",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2005/27900030/12OmNwDj0YL",
"parentPublication": {
"id": "proceedings/ieee-infovis/2005/2790/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2012/4771/0/4771a321",
"title": "Visualizing community centric network layouts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2012/4771a321/12OmNxG1yEP",
"parentPublication": {
"id": "proceedings/iv/2012/4771/0",
"title": "2012 16th International Conference on Information Visualisation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2006/2747/0/274700233",
"title": "Exploring Local Community Structures in Large Networks",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2006/274700233/12OmNzV70k3",
"parentPublication": {
"id": "proceedings/wi/2006/2747/0",
"title": "2006 IEEE/WIC/ACM International Conference on Web Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/01/ttg2012010093",
"title": "EventRiver: Visually Exploring Text Collections with Temporal References",
"doi": null,
"abstractUrl": "/journal/tg/2012/01/ttg2012010093/13rRUxly8SS",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2019/08/08543239",
"title": "Exploring Communities in Large Profiled Graphs",
"doi": null,
"abstractUrl": "/journal/tk/2019/08/08543239/17D45VtKiwX",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2019/7474/0/747400c159",
"title": "Exploring Communities in Large Profiled Graphs (Extended Abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2019/747400c159/1aDT1LoRDnq",
"parentPublication": {
"id": "proceedings/icde/2019/7474/0",
"title": "2019 IEEE 35th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/03/08863985",
"title": "Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties",
"doi": null,
"abstractUrl": "/journal/tg/2021/03/08863985/1e0Yn4dt3jO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2013061020",
"articleId": "13rRUy2YLT0",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2013061048",
"articleId": "13rRUIJuxpx",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTYesOu",
"name": "ttg2013061034s.mov",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2013061034s.mov",
"extension": "mov",
"size": "80.4 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1qLhZwxtEmA",
"title": "March",
"year": "2021",
"issueNum": "03",
"idPrefix": "tg",
"pubType": "journal",
"volume": "27",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1e0Yn4dt3jO",
"doi": "10.1109/TVCG.2019.2946558",
"abstract": "Data analysts commonly utilize statistics to summarize large datasets. While it is often sufficient to explore only the summary statistics of a dataset (e.g., min/mean/max), Anscombe's Quartet demonstrates how such statistics can be misleading. We consider a similar problem in the context of graph mining. To study the relationships between different graph properties, we examine low-order non-isomorphic graphs and provide a simple visual analytics system to explore correlations across multiple graph properties. However, for larger graphs, studying the entire space quickly becomes intractable. We use different random graph generation methods to further look into the distribution of graph properties for higher order graphs and investigate the impact of various sampling methodologies. We also describe a method for generating many graphs that are identical over a number of graph properties and statistics yet are clearly different and identifiably distinct.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Data analysts commonly utilize statistics to summarize large datasets. While it is often sufficient to explore only the summary statistics of a dataset (e.g., min/mean/max), Anscombe's Quartet demonstrates how such statistics can be misleading. We consider a similar problem in the context of graph mining. To study the relationships between different graph properties, we examine low-order non-isomorphic graphs and provide a simple visual analytics system to explore correlations across multiple graph properties. However, for larger graphs, studying the entire space quickly becomes intractable. We use different random graph generation methods to further look into the distribution of graph properties for higher order graphs and investigate the impact of various sampling methodologies. We also describe a method for generating many graphs that are identical over a number of graph properties and statistics yet are clearly different and identifiably distinct.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Data analysts commonly utilize statistics to summarize large datasets. While it is often sufficient to explore only the summary statistics of a dataset (e.g., min/mean/max), Anscombe's Quartet demonstrates how such statistics can be misleading. We consider a similar problem in the context of graph mining. To study the relationships between different graph properties, we examine low-order non-isomorphic graphs and provide a simple visual analytics system to explore correlations across multiple graph properties. However, for larger graphs, studying the entire space quickly becomes intractable. We use different random graph generation methods to further look into the distribution of graph properties for higher order graphs and investigate the impact of various sampling methodologies. We also describe a method for generating many graphs that are identical over a number of graph properties and statistics yet are clearly different and identifiably distinct.",
"title": "Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties",
"normalizedTitle": "Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties",
"fno": "08863985",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Analysis",
"Data Mining",
"Data Visualisation",
"Graph Theory",
"Random Processes",
"Low Order Nonisomorphic Graphs",
"Graph Properties",
"Random Graph Generation",
"Graph Mining",
"Data Analysts",
"Visual Analytics System",
"Generators",
"Correlation",
"Data Mining",
"Space Exploration",
"Visual Analytics",
"Tools",
"Graph Mining",
"Graph Properties",
"Graph Generators"
],
"authors": [
{
"givenName": "Hang",
"surname": "Chen",
"fullName": "Hang Chen",
"affiliation": "Department of Computer Science, The University of Arizona, Tucson, AZ, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Utkarsh",
"surname": "Soni",
"fullName": "Utkarsh Soni",
"affiliation": "School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Phoenix, AZ, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Yafeng",
"surname": "Lu",
"fullName": "Yafeng Lu",
"affiliation": "School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Phoenix, AZ, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Vahan",
"surname": "Huroyan",
"fullName": "Vahan Huroyan",
"affiliation": "Department of Computer Science, The University of Arizona, Tucson, AZ, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ross",
"surname": "Maciejewski",
"fullName": "Ross Maciejewski",
"affiliation": "School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Phoenix, AZ, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Stephen",
"surname": "Kobourov",
"fullName": "Stephen Kobourov",
"affiliation": "Department of Computer Science, The University of Arizona, Tucson, AZ, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2021-03-01 00:00:00",
"pubType": "trans",
"pages": "2056-2072",
"year": "2021",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2008/3268/0/3268a610",
"title": "Edge Metrics for Visual Graph Analytics: A Comparative Study",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2008/3268a610/12OmNAnMuJD",
"parentPublication": {
"id": "proceedings/iv/2008/3268/0",
"title": "2008 12th International Conference Information Visualisation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2010/6685/0/05429591",
"title": "Visual analysis of large graphs using (X,Y)-clustering and hybrid visualizations",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2010/05429591/12OmNBkxsuy",
"parentPublication": {
"id": "proceedings/pacificvis/2010/6685/0",
"title": "2010 IEEE Pacific Visualization Symposium (PacificVis 2010)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibe/2007/1509/0/04375736",
"title": "Exploring Topological Properties of NMR Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2007/04375736/12OmNCbCrPb",
"parentPublication": {
"id": "proceedings/bibe/2007/1509/0",
"title": "7th IEEE International Conference on Bioinformatics and Bioengineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/2010/4244/0/4244a133",
"title": "Deciding First-Order Properties for Sparse Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/focs/2010/4244a133/12OmNrIrPj1",
"parentPublication": {
"id": "proceedings/focs/2010/4244/0",
"title": "2010 IEEE 51st Annual Symposium on Foundations of Computer Science",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2015/6879/0/07156391",
"title": "Interactive high-dimensional visualization of social graphs",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2015/07156391/12OmNxYL5gh",
"parentPublication": {
"id": "proceedings/pacificvis/2015/6879/0",
"title": "2015 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2006/0591/0/04035749",
"title": "Have Green ? A Visual Analytics Framework for Large Semantic Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2006/04035749/12OmNzQzqgi",
"parentPublication": {
"id": "proceedings/vast/2006/0591/0",
"title": "2006 IEEE Symposium On Visual Analytics Science And Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/11/ttg2011111587",
"title": "Visual Analysis of Large Graphs Using (X,Y)-Clustering and Hybrid Visualizations",
"doi": null,
"abstractUrl": "/journal/tg/2011/11/ttg2011111587/13rRUxBa5nl",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/06/ttg2013061034",
"title": "PIWI: Visually Exploring Graphs Based on Their Community Structure",
"doi": null,
"abstractUrl": "/journal/tg/2013/06/ttg2013061034/13rRUxd2aYZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdpsw/2019/3510/0/555500a251",
"title": "Distributed Kronecker Graph Generation with Ground Truth of Many Graph Properties",
"doi": null,
"abstractUrl": "/proceedings-article/ipdpsw/2019/555500a251/1c2bBeinDB6",
"parentPublication": {
"id": "proceedings/ipdpsw/2019/3510/0",
"title": "2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222072",
"title": "Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222072/1nTqwNTE1AQ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08827959",
"articleId": "1ddblRDPV8Q",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08851275",
"articleId": "1dFoGxhy3eM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwE9On0",
"title": "Nov.-Dec.",
"year": "2019",
"issueNum": "06",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "39",
"label": "Nov.-Dec.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1eIcadfWnYs",
"doi": "10.1109/MCG.2019.2944230",
"abstract": "Providing actionable insights through interactive visual analytics is essential to effective decision making. Yet, many complex systems engineering (SE) domains still lack such tools. Design reviews are often still based on static snapshots of data, without any dynamic interaction, data curation, and view creation capabilities to answer salient analysis questions. In this study, we report on a tool called DataHawk that helps answer common questions associated with one prominent SE context, namely failure mode and effect analysis (FMEA). The tool provides powerful exploration capabilities that enable system engineers, designers, and managers to probe FMEA data from multiple starting points, build questions dynamically, and find triangulated answers using multiple views rapidly. Field results are illustrated through a usage scenario from the automotive industry and show that the tool demonstrates the needed versatility, scalability, and effectiveness for real-world engineering data.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Providing actionable insights through interactive visual analytics is essential to effective decision making. Yet, many complex systems engineering (SE) domains still lack such tools. Design reviews are often still based on static snapshots of data, without any dynamic interaction, data curation, and view creation capabilities to answer salient analysis questions. In this study, we report on a tool called DataHawk that helps answer common questions associated with one prominent SE context, namely failure mode and effect analysis (FMEA). The tool provides powerful exploration capabilities that enable system engineers, designers, and managers to probe FMEA data from multiple starting points, build questions dynamically, and find triangulated answers using multiple views rapidly. Field results are illustrated through a usage scenario from the automotive industry and show that the tool demonstrates the needed versatility, scalability, and effectiveness for real-world engineering data.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Providing actionable insights through interactive visual analytics is essential to effective decision making. Yet, many complex systems engineering (SE) domains still lack such tools. Design reviews are often still based on static snapshots of data, without any dynamic interaction, data curation, and view creation capabilities to answer salient analysis questions. In this study, we report on a tool called DataHawk that helps answer common questions associated with one prominent SE context, namely failure mode and effect analysis (FMEA). The tool provides powerful exploration capabilities that enable system engineers, designers, and managers to probe FMEA data from multiple starting points, build questions dynamically, and find triangulated answers using multiple views rapidly. Field results are illustrated through a usage scenario from the automotive industry and show that the tool demonstrates the needed versatility, scalability, and effectiveness for real-world engineering data.",
"title": "Understanding Failure Mode Effect Analysis Data Using Interactive Visual Analytics",
"normalizedTitle": "Understanding Failure Mode Effect Analysis Data Using Interactive Visual Analytics",
"fno": "08891840",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Decision Making",
"Failure Analysis",
"Software Engineering",
"Systems Engineering",
"System Engineers",
"FMEA Data",
"Real World Engineering Data",
"Interactive Visual Analytics",
"Effective Decision Making",
"Complex Systems Engineering",
"Design Reviews",
"Dynamic Interaction",
"Data Curation",
"Creation Capabilities",
"Salient Analysis Questions",
"Common Questions",
"Prominent SE Context",
"Failure Mode Effect Analysis Data",
"Data Analysis",
"Visual Analytics",
"Complex Systems",
"Vehicle Dynamics"
],
"authors": [
{
"givenName": "Rahul C.",
"surname": "Basole",
"fullName": "Rahul C. Basole",
"affiliation": "Georgia Institute of Technology",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ahsan",
"surname": "Qamar",
"fullName": "Ahsan Qamar",
"affiliation": "Ford Motor Company",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Biswajyoti",
"surname": "Pal",
"fullName": "Biswajyoti Pal",
"affiliation": "Georgia Institute of Technology",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Michael",
"surname": "Corral",
"fullName": "Michael Corral",
"affiliation": "Ford Motor Company",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Matthew",
"surname": "Meinhart",
"fullName": "Matthew Meinhart",
"affiliation": "Ford Motor Company",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Arpit",
"surname": "Narechania",
"fullName": "Arpit Narechania",
"affiliation": "Georgia Institute of Technology",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2019-11-01 00:00:00",
"pubType": "mags",
"pages": "17-26",
"year": "2019",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vast/2012/4752/0/06400550",
"title": "A visual analytics approach to understanding cycling behaviour",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400550/12OmNBEGYJa",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/socpar/2009/3879/0/3879a329",
"title": "On Fuzzy Inference System Based Failure Mode and Effect Analysis (FMEA) Methodology",
"doi": null,
"abstractUrl": "/proceedings-article/socpar/2009/3879a329/12OmNqG0SQi",
"parentPublication": {
"id": "proceedings/socpar/2009/3879/0",
"title": "Soft Computing and Pattern Recognition, International Conference of",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/date/2008/3/0/04484792",
"title": "Tool Support for Incremental Failure Mode and Effects Analysis of Component-Based Systems",
"doi": null,
"abstractUrl": "/proceedings-article/date/2008/04484792/12OmNqI04CI",
"parentPublication": {
"id": "proceedings/date/2008/3/0",
"title": "Design, Automation & Test in Europe. DATE'08",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icm/2011/4522/3/4522c215",
"title": "Software Interface Failure Modes and Effect Analysis Based on UML",
"doi": null,
"abstractUrl": "/proceedings-article/icm/2011/4522c215/12OmNy6ZrY1",
"parentPublication": {
"id": "proceedings/icm/2011/4522/3",
"title": "Information Technology, Computer Engineering and Management Sciences, International Conference of",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iri/2014/5880/0/07051956",
"title": "Understanding implicit and explicit interface tools to perform visual analytics tasks",
"doi": null,
"abstractUrl": "/proceedings-article/iri/2014/07051956/12OmNyVes4P",
"parentPublication": {
"id": "proceedings/iri/2014/5880/0",
"title": "2014 IEEE International Conference on Information Reuse and Integration (IRI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2008/01/mcg2008010018",
"title": "An Information-Theoretic View of Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2008/01/mcg2008010018/13rRUB6SpRW",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2013/08/mco2013080090",
"title": "Bixplorer: Visual Analytics with Biclusters",
"doi": null,
"abstractUrl": "/magazine/co/2013/08/mco2013080090/13rRUwcAqvs",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/06/10081322",
"title": "How Does Attention Work in Vision Transformers? A Visual Analytics Attempt",
"doi": null,
"abstractUrl": "/journal/tg/2023/06/10081322/1LRbRtJhrG0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2018/6861/0/08802397",
"title": "They do Move! Visual Analytics of Rose-Crested Blue Pipit Habitat",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2018/08802397/1cJ6YpdBSzC",
"parentPublication": {
"id": "proceedings/vast/2018/6861/0",
"title": "2018 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09216512",
"title": "Auditing the Sensitivity of Graph-based Ranking with Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09216512/1nJsHwdIuqc",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08891842",
"articleId": "1eIcaQ4a1Bm",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08889811",
"articleId": "1eBul1FAEIE",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "1qL5hsvvVkc",
"title": "Feb.",
"year": "2021",
"issueNum": "02",
"idPrefix": "tg",
"pubType": "journal",
"volume": "27",
"label": "Feb.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1nTqwNTE1AQ",
"doi": "10.1109/TVCG.2020.3030398",
"abstract": "The overview-driven visual analysis of large-scale dynamic graphs poses a major challenge. We propose Multiscale Snapshots, a visual analytics approach to analyze temporal summaries of dynamic graphs at multiple temporal scales. First, we recursively generate temporal summaries to abstract overlapping sequences of graphs into compact snapshots. Second, we apply graph embeddings to the snapshots to learn low-dimensional representations of each sequence of graphs to speed up specific analytical tasks (e.g., similarity search). Third, we visualize the evolving data from a coarse to fine-granular snapshots to semi-automatically analyze temporal states, trends, and outliers. The approach enables us to discover similar temporal summaries (e.g., reoccurring states), reduces the temporal data to speed up automatic analysis, and to explore both structural and temporal properties of a dynamic graph. We demonstrate the usefulness of our approach by a quantitative evaluation and the application to a real-world dataset.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The overview-driven visual analysis of large-scale dynamic graphs poses a major challenge. We propose Multiscale Snapshots, a visual analytics approach to analyze temporal summaries of dynamic graphs at multiple temporal scales. First, we recursively generate temporal summaries to abstract overlapping sequences of graphs into compact snapshots. Second, we apply graph embeddings to the snapshots to learn low-dimensional representations of each sequence of graphs to speed up specific analytical tasks (e.g., similarity search). Third, we visualize the evolving data from a coarse to fine-granular snapshots to semi-automatically analyze temporal states, trends, and outliers. The approach enables us to discover similar temporal summaries (e.g., reoccurring states), reduces the temporal data to speed up automatic analysis, and to explore both structural and temporal properties of a dynamic graph. We demonstrate the usefulness of our approach by a quantitative evaluation and the application to a real-world dataset.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The overview-driven visual analysis of large-scale dynamic graphs poses a major challenge. We propose Multiscale Snapshots, a visual analytics approach to analyze temporal summaries of dynamic graphs at multiple temporal scales. First, we recursively generate temporal summaries to abstract overlapping sequences of graphs into compact snapshots. Second, we apply graph embeddings to the snapshots to learn low-dimensional representations of each sequence of graphs to speed up specific analytical tasks (e.g., similarity search). Third, we visualize the evolving data from a coarse to fine-granular snapshots to semi-automatically analyze temporal states, trends, and outliers. The approach enables us to discover similar temporal summaries (e.g., reoccurring states), reduces the temporal data to speed up automatic analysis, and to explore both structural and temporal properties of a dynamic graph. We demonstrate the usefulness of our approach by a quantitative evaluation and the application to a real-world dataset.",
"title": "Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs",
"normalizedTitle": "Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs",
"fno": "09222072",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Graph Theory",
"Data Visualization",
"Multiscale Snapshots",
"Large Scale Dynamic Graphs",
"Overview Driven Visual Analysis",
"Temporal Properties",
"Structural Properties",
"Automatic Analysis",
"Temporal Data",
"Similar Temporal Summaries",
"Temporal States",
"Fine Granular Snapshots",
"Graph Embeddings",
"Compact Snapshots",
"Multiple Temporal Scales",
"Dynamic Graph",
"Visual Analytics",
"Data Visualization",
"Visual Analytics",
"Task Analysis",
"Dimensionality Reduction",
"Animation",
"Scalability",
"Dynamic Graph",
"Dynamic Network",
"Unsupervised Graph Learning",
"Graph Embedding",
"Multiscale Visualization"
],
"authors": [
{
"givenName": "Eren",
"surname": "Cakmak",
"fullName": "Eren Cakmak",
"affiliation": "University of Konstanz, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Udo",
"surname": "Schlegel",
"fullName": "Udo Schlegel",
"affiliation": "University of Konstanz, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Dominik",
"surname": "Jäckle",
"fullName": "Dominik Jäckle",
"affiliation": "Independent Researcher, Munich, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Daniel",
"surname": "Keim",
"fullName": "Daniel Keim",
"affiliation": "University of Konstanz, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Tobias",
"surname": "Schreck",
"fullName": "Tobias Schreck",
"affiliation": "TU Graz, Austria",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2021-02-01 00:00:00",
"pubType": "trans",
"pages": "517-527",
"year": "2021",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/mdm/2016/0883/2/0883b043",
"title": "Evolving Centralities in Temporal Graphs: A Twitter Network Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2016/0883b043/12OmNvkYxbW",
"parentPublication": {
"id": "mdm/2016/0883/2",
"title": "2016 17th IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/time/2003/1912/0/19120181",
"title": "Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/time/2003/19120181/12OmNzgeLCZ",
"parentPublication": {
"id": "proceedings/time/2003/1912/0",
"title": "Temporal Representation and Reasoning, International Syposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009061049",
"title": "Temporal Summaries: Supporting Temporal Categorical Searching, Aggregation and Comparison",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009061049/13rRUxBa5rP",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2017/08/07891889",
"title": "Keyword Search on Temporal Graphs",
"doi": null,
"abstractUrl": "/journal/tk/2017/08/07891889/13rRUxly9ew",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192717",
"title": "Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192717/13rRUyp7tWY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/07/08580402",
"title": "Exploring Evolution of Dynamic Networks via Diachronic Node Embeddings",
"doi": null,
"abstractUrl": "/journal/tg/2020/07/08580402/17D45XacGi5",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bdva/2018/9194/0/08534025",
"title": "Towards Visual Exploration of Large Temporal Datasets",
"doi": null,
"abstractUrl": "/proceedings-article/bdva/2018/08534025/17D45XoXP4N",
"parentPublication": {
"id": "proceedings/bdva/2018/9194/0",
"title": "2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/5555/01/10026343",
"title": "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs Via Inductive Embedding Aggregation",
"doi": null,
"abstractUrl": "/journal/tk/5555/01/10026343/1KkXbTHLzoc",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2020/2903/0/09101617",
"title": "An Interval-centric Model for Distributed Computing over Temporal Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2020/09101617/1kaMMemJo1G",
"parentPublication": {
"id": "proceedings/icde/2020/2903/0",
"title": "2020 IEEE 36th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2021/3931/0/393100a061",
"title": "Stable Visual Summaries for Trajectory Collections",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2021/393100a061/1tTtq7bTYJi",
"parentPublication": {
"id": "proceedings/pacificvis/2021/3931/0",
"title": "2021 IEEE 14th Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09216532",
"articleId": "1nJsFIg64us",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09222301",
"articleId": "1nTrDxA09TG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1qLbhYdJuAE",
"name": "ttg202102-09222072s1-supp1-3030398.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202102-09222072s1-supp1-3030398.mp4",
"extension": "mp4",
"size": "138 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1qL5hsvvVkc",
"title": "Feb.",
"year": "2021",
"issueNum": "02",
"idPrefix": "tg",
"pubType": "journal",
"volume": "27",
"label": "Feb.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1nTroT3Yn72",
"doi": "10.1109/TVCG.2020.3030443",
"abstract": "Most visual analytics systems assume that all foraging for data happens before the analytics process; once analysis begins, the set of data attributes considered is fixed. Such separation of data construction from analysis precludes iteration that can enable foraging informed by the needs that arise in-situ during the analysis. The separation of the foraging loop from the data analysis tasks can limit the pace and scope of analysis. In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis. Identifying attributes to add to the dataset is difficult because it requires human knowledge to determine which available attributes will be helpful for the ensuing analytical tasks. CAVA crawls knowledge graphs to provide users with a a broad set of attributes drawn from external data to choose from. Users can then specify complex operations on knowledge graphs to construct additional attributes. CAVA shows how visual analytics can help users forage for attributes by letting users visually explore the set of available data, and by serving as an interface for query construction. It also provides visualizations of the knowledge graph itself to help users understand complex joins such as multi-hop aggregations. We assess the ability of our system to enable users to perform complex data combinations without programming in a user study over two datasets. We then demonstrate the generalizability of CAVA through two additional usage scenarios. The results of the evaluation confirm that CAVA is effective in helping the user perform data foraging that leads to improved analysis outcomes, and offer evidence in support of integrating data augmentation as a part of the visual analytics pipeline.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Most visual analytics systems assume that all foraging for data happens before the analytics process; once analysis begins, the set of data attributes considered is fixed. Such separation of data construction from analysis precludes iteration that can enable foraging informed by the needs that arise in-situ during the analysis. The separation of the foraging loop from the data analysis tasks can limit the pace and scope of analysis. In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis. Identifying attributes to add to the dataset is difficult because it requires human knowledge to determine which available attributes will be helpful for the ensuing analytical tasks. CAVA crawls knowledge graphs to provide users with a a broad set of attributes drawn from external data to choose from. Users can then specify complex operations on knowledge graphs to construct additional attributes. CAVA shows how visual analytics can help users forage for attributes by letting users visually explore the set of available data, and by serving as an interface for query construction. It also provides visualizations of the knowledge graph itself to help users understand complex joins such as multi-hop aggregations. We assess the ability of our system to enable users to perform complex data combinations without programming in a user study over two datasets. We then demonstrate the generalizability of CAVA through two additional usage scenarios. The results of the evaluation confirm that CAVA is effective in helping the user perform data foraging that leads to improved analysis outcomes, and offer evidence in support of integrating data augmentation as a part of the visual analytics pipeline.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Most visual analytics systems assume that all foraging for data happens before the analytics process; once analysis begins, the set of data attributes considered is fixed. Such separation of data construction from analysis precludes iteration that can enable foraging informed by the needs that arise in-situ during the analysis. The separation of the foraging loop from the data analysis tasks can limit the pace and scope of analysis. In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis. Identifying attributes to add to the dataset is difficult because it requires human knowledge to determine which available attributes will be helpful for the ensuing analytical tasks. CAVA crawls knowledge graphs to provide users with a a broad set of attributes drawn from external data to choose from. Users can then specify complex operations on knowledge graphs to construct additional attributes. CAVA shows how visual analytics can help users forage for attributes by letting users visually explore the set of available data, and by serving as an interface for query construction. It also provides visualizations of the knowledge graph itself to help users understand complex joins such as multi-hop aggregations. We assess the ability of our system to enable users to perform complex data combinations without programming in a user study over two datasets. We then demonstrate the generalizability of CAVA through two additional usage scenarios. The results of the evaluation confirm that CAVA is effective in helping the user perform data foraging that leads to improved analysis outcomes, and offer evidence in support of integrating data augmentation as a part of the visual analytics pipeline.",
"title": "CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs",
"normalizedTitle": "CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs",
"fno": "09222249",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Query Processing",
"Data Foraging",
"Complex Data Combinations",
"External Data",
"Human Knowledge",
"Data Exploration",
"Data Curation",
"Data Analysis Tasks",
"Foraging Loop",
"Data Construction",
"Data Attributes",
"Analytics Process",
"Knowledge Graph",
"Exploratory Columnar Data Augmentation",
"Visual Analytics System",
"CAVA",
"Task Analysis",
"Visual Analytics",
"Machine Learning",
"Data Models",
"Data Visualization",
"Google",
"Training",
"Visual Analytics",
"Information Foraging",
"Data Augmentation"
],
"authors": [
{
"givenName": "Dylan",
"surname": "Cashman",
"fullName": "Dylan Cashman",
"affiliation": "Tufts University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Shenyu",
"surname": "Xu",
"fullName": "Shenyu Xu",
"affiliation": "Georgia Tech.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Subhajit",
"surname": "Das",
"fullName": "Subhajit Das",
"affiliation": "Georgia Tech.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Florian",
"surname": "Heimerl",
"fullName": "Florian Heimerl",
"affiliation": "University of Wisconsin, Madison",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Cong",
"surname": "Liu",
"fullName": "Cong Liu",
"affiliation": "Tufts University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Shah Rukh",
"surname": "Humayoun",
"fullName": "Shah Rukh Humayoun",
"affiliation": "San Francisco State University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Michael",
"surname": "Gleicher",
"fullName": "Michael Gleicher",
"affiliation": "University of Wisconsin, Madison",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Alex",
"surname": "Endert",
"fullName": "Alex Endert",
"affiliation": "Georgia Tech.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Remco",
"surname": "Chang",
"fullName": "Remco Chang",
"affiliation": "Tufts University",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2021-02-01 00:00:00",
"pubType": "trans",
"pages": "1731-1741",
"year": "2021",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/hicss/2014/2504/0/2504b364",
"title": "Studying Animation for Real-Time Visual Analytics: A Design Study of Social Media Analytics in Emergency Management",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2014/2504b364/12OmNBrlPzK",
"parentPublication": {
"id": "proceedings/hicss/2014/2504/0",
"title": "2014 47th Hawaii International Conference on System Sciences (HICSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2012/4752/0/06400514",
"title": "Big data exploration through visual analytics",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400514/12OmNC3XhwY",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2013/4892/0/4892b495",
"title": "A Role for Reasoning in Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2013/4892b495/12OmNqJ8tq4",
"parentPublication": {
"id": "proceedings/hicss/2013/4892/0",
"title": "2013 46th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2011/9618/0/05718616",
"title": "Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2011/05718616/12OmNvAiShB",
"parentPublication": {
"id": "proceedings/hicss/2011/9618/0",
"title": "2011 44th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2010/4257/0/4257a388",
"title": "A Visual Analytics Tool for Analysing Microarray Data",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2010/4257a388/12OmNvlg8nK",
"parentPublication": {
"id": "proceedings/icdmw/2010/4257/0",
"title": "2010 IEEE International Conference on Data Mining Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2016/8942/0/8942a261",
"title": "A Need for Exploratory Visual Analytics in Big Data Research and for Open Science",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2016/8942a261/12OmNz4SOrY",
"parentPublication": {
"id": "proceedings/iv/2016/8942/0",
"title": "2016 20th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040026",
"title": "A Graph Algebra for Scalable Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040026/13rRUILLkpN",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2013/08/mco2013080090",
"title": "Bixplorer: Visual Analytics with Biclusters",
"doi": null,
"abstractUrl": "/magazine/co/2013/08/mco2013080090/13rRUwcAqvs",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09246282",
"title": "P6: A Declarative Language for Integrating Machine Learning in Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09246282/1olDLxl43Qc",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2020/9134/0/913400a515",
"title": "Knowledge-Driven Framework for Designing Visual Analytics Applications",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2020/913400a515/1rSRbNnQM5q",
"parentPublication": {
"id": "proceedings/iv/2020/9134/0",
"title": "2020 24th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09226404",
"articleId": "1nYqk0TjyeY",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09217981",
"articleId": "1nL7qQvHEOI",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1qLfDFYrhQs",
"name": "ttg202102-09222249s1-tvcg-3030443-mm.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202102-09222249s1-tvcg-3030443-mm.zip",
"extension": "zip",
"size": "136 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1wMETcZfzVe",
"title": "Sept.-Oct.",
"year": "2021",
"issueNum": "05",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "41",
"label": "Sept.-Oct.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1vmGUJFABLW",
"doi": "10.1109/MCG.2021.3097799",
"abstract": "Representing and analyzing structural differences among graphs help gain insight into the difference related patterns such as dynamic evolutions of graphs. Conventional solutions leverage representation learning techniques to encode structural information, but lack an intuitive way of studying structural semantics of graphs. In this article, we propose a representation-and-analysis scheme for structural differences among graphs. We propose a deep-learning-based embedding technique to encode multiple graphs while preserving semantics of structural differences. We design and implement a web-based visual analytics system to support comparative study of features learned from the embeddings. One distinctive feature of our approach is that it supports semantics-aware construction, quantification, and investigation of latent relations encoded in graphs. We validate the usability and effectiveness of our approach through case studies with three datasets.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Representing and analyzing structural differences among graphs help gain insight into the difference related patterns such as dynamic evolutions of graphs. Conventional solutions leverage representation learning techniques to encode structural information, but lack an intuitive way of studying structural semantics of graphs. In this article, we propose a representation-and-analysis scheme for structural differences among graphs. We propose a deep-learning-based embedding technique to encode multiple graphs while preserving semantics of structural differences. We design and implement a web-based visual analytics system to support comparative study of features learned from the embeddings. One distinctive feature of our approach is that it supports semantics-aware construction, quantification, and investigation of latent relations encoded in graphs. We validate the usability and effectiveness of our approach through case studies with three datasets.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Representing and analyzing structural differences among graphs help gain insight into the difference related patterns such as dynamic evolutions of graphs. Conventional solutions leverage representation learning techniques to encode structural information, but lack an intuitive way of studying structural semantics of graphs. In this article, we propose a representation-and-analysis scheme for structural differences among graphs. We propose a deep-learning-based embedding technique to encode multiple graphs while preserving semantics of structural differences. We design and implement a web-based visual analytics system to support comparative study of features learned from the embeddings. One distinctive feature of our approach is that it supports semantics-aware construction, quantification, and investigation of latent relations encoded in graphs. We validate the usability and effectiveness of our approach through case studies with three datasets.",
"title": "A Visual Analytics Approach for Structural Differences Among Graphs via Deep Learning",
"normalizedTitle": "A Visual Analytics Approach for Structural Differences Among Graphs via Deep Learning",
"fno": "09490333",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Graph Theory",
"Learning Artificial Intelligence",
"Visual Analytics Approach",
"Structural Differences",
"Deep Learning",
"Difference Related Patterns",
"Conventional Solutions Leverage Representation",
"Structural Information",
"Structural Semantics",
"Multiple Graphs",
"Web Based Visual Analytics System",
"Semantics",
"Deep Learning",
"Visual Analytics",
"Topology",
"Task Analysis",
"Computational Modeling"
],
"authors": [
{
"givenName": "Dongming",
"surname": "Han",
"fullName": "Dongming Han",
"affiliation": "Zhejiang University, Hangzhou, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jiacheng",
"surname": "Pan",
"fullName": "Jiacheng Pan",
"affiliation": "Zhejiang University, Hangzhou, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Cong",
"surname": "Xie",
"fullName": "Cong Xie",
"affiliation": "Facebook, New York, NY, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xiaodong",
"surname": "Zhao",
"fullName": "Xiaodong Zhao",
"affiliation": "Zhejiang University, Hangzhou, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xiaonan",
"surname": "Luo",
"fullName": "Xiaonan Luo",
"affiliation": "Guilin University of Electronic Technology, Guilin, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Wei",
"surname": "Chen",
"fullName": "Wei Chen",
"affiliation": "Zhejiang University, Hangzhou, China",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "05",
"pubDate": "2021-09-01 00:00:00",
"pubType": "mags",
"pages": "18-31",
"year": "2021",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/sitis/2013/3211/0/3211a478",
"title": "Structural Network Properties of Niche-Overlap Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2013/3211a478/12OmNyQphfK",
"parentPublication": {
"id": "proceedings/sitis/2013/3211/0",
"title": "2013 International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2006/0591/0/04035749",
"title": "Have Green ? A Visual Analytics Framework for Large Semantic Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2006/04035749/12OmNzQzqgi",
"parentPublication": {
"id": "proceedings/vast/2006/0591/0",
"title": "2006 IEEE Symposium On Visual Analytics Science And Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2013/5108/0/5108b325",
"title": "Structural-Context Similarities for Uncertain Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2013/5108b325/12OmNzxgHBb",
"parentPublication": {
"id": "proceedings/icdm/2013/5108/0",
"title": "2013 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2019/10/08476242",
"title": "Efficient Structural Clustering on Probabilistic Graphs",
"doi": null,
"abstractUrl": "/journal/tk/2019/10/08476242/13WBGMwPrtE",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1386",
"title": "Generating Graphs for Visual Analytics through Interactive Sketching",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1386/13rRUwcS1CP",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/1980/04/04767033",
"title": "Random Graphs: Structural-Contextual Dichotomy",
"doi": null,
"abstractUrl": "/journal/tp/1980/04/04767033/13rRUx0geg5",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2021/2398/0/239800b180",
"title": "Learnable Structural Semantic Readout for Graph Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2021/239800b180/1AqxissXZja",
"parentPublication": {
"id": "proceedings/icdm/2021/2398/0",
"title": "2021 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/5555/01/09899756",
"title": "HSDN: A High-Order Structural Semantic Disentangled Neural Network",
"doi": null,
"abstractUrl": "/journal/tk/5555/01/09899756/1GSnwGrHYPu",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222072",
"title": "Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222072/1nTqwNTE1AQ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552902",
"title": "Interactive Visual Pattern Search on Graph Data via Graph Representation Learning",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552902/1xic4qsF8zK",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09535171",
"articleId": "1wMEUT06m2Y",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09476996",
"articleId": "1v2MgNY5cuk",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNANBZkf",
"title": "January/February",
"year": "2006",
"issueNum": "01",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "26",
"label": "January/February",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxBa5ej",
"doi": "10.1109/MCG.2006.5",
"abstract": "In fields ranging from security to systems biology to business, the ability to collect data far outstrips the ability to analyze the data that have been collected. The science of visual analytics is meant to enable analysts of all types to overcome information overload so that they can detect the expected and discover the unexpected from massive, dynamic, conflicting, and incomplete information while rigorously adhering to privacy and security laws and policies. During the past year, a panel of research leaders from academia, industry government, the national laboratory system developed a five year research and development agenda for the field of visual analytics. This article presents a concise summary of that agenda.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In fields ranging from security to systems biology to business, the ability to collect data far outstrips the ability to analyze the data that have been collected. The science of visual analytics is meant to enable analysts of all types to overcome information overload so that they can detect the expected and discover the unexpected from massive, dynamic, conflicting, and incomplete information while rigorously adhering to privacy and security laws and policies. During the past year, a panel of research leaders from academia, industry government, the national laboratory system developed a five year research and development agenda for the field of visual analytics. This article presents a concise summary of that agenda.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In fields ranging from security to systems biology to business, the ability to collect data far outstrips the ability to analyze the data that have been collected. The science of visual analytics is meant to enable analysts of all types to overcome information overload so that they can detect the expected and discover the unexpected from massive, dynamic, conflicting, and incomplete information while rigorously adhering to privacy and security laws and policies. During the past year, a panel of research leaders from academia, industry government, the national laboratory system developed a five year research and development agenda for the field of visual analytics. This article presents a concise summary of that agenda.",
"title": "A Visual Analytics Agenda",
"normalizedTitle": "A Visual Analytics Agenda",
"fno": "mcg2006010010",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Visual Analytics",
"Analytical Reasoning",
"Visual Representations",
"Interaction Techniques",
"Information Presentation And Dissemination",
"Technology Transfer",
"Research Recommendations"
],
"authors": [
{
"givenName": "James J.",
"surname": "Thomas",
"fullName": "James J. Thomas",
"affiliation": "Pacific Northwest National Laboratory",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Kristin A.",
"surname": "Cook",
"fullName": "Kristin A. Cook",
"affiliation": "Pacific Northwest National Laboratory",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2006-01-01 00:00:00",
"pubType": "mags",
"pages": "10-13",
"year": "2006",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vast/2012/4752/0/06400550",
"title": "A visual analytics approach to understanding cycling behaviour",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400550/12OmNBEGYJa",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2013/4892/0/4892b495",
"title": "A Role for Reasoning in Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2013/4892b495/12OmNqJ8tq4",
"parentPublication": {
"id": "proceedings/hicss/2013/4892/0",
"title": "2013 46th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2011/9618/0/05718616",
"title": "Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2011/05718616/12OmNvAiShB",
"parentPublication": {
"id": "proceedings/hicss/2011/9618/0",
"title": "2011 44th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2013/04/mcg2013040006",
"title": "Beyond Control Panels: Direct Manipulation for Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2013/04/mcg2013040006/13rRUwh80Ja",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2011/05/mcg2011050018",
"title": "Graph Analytics—Lessons Learned and Challenges Ahead",
"doi": null,
"abstractUrl": "/magazine/cg/2011/05/mcg2011050018/13rRUxASu6j",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2015/02/mcg2015020016",
"title": "Preparing Undergraduates for Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2015/02/mcg2015020016/13rRUxjQyjN",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2013/07/mco2013070056",
"title": "Evaluation: A Challenge for Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/co/2013/07/mco2013070056/13rRUxly90R",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2009/02/mcg2009020084",
"title": "Demystifying Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2009/02/mcg2009020084/13rRUy3gn3z",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mlui/2019/4064/0/10075560",
"title": "Machine Learning from User Interaction for Visualization and Analytics: A Workshop-Generated Research Agenda",
"doi": null,
"abstractUrl": "/proceedings-article/mlui/2019/10075560/1LIRveJELtK",
"parentPublication": {
"id": "proceedings/mlui/2019/4064/0",
"title": "2019 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a133",
"title": "Visual Analytics to Make Sense of Large-Scale Administrative and Normative Data",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a133/1cMFavfKXqE",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2006010006",
"articleId": "13rRUNvPLck",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2006010014",
"articleId": "13rRUB6Sq2O",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNCaLEju",
"title": "Jan.",
"year": "2018",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "24",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUy0qnGp",
"doi": "10.1109/TVCG.2017.2744898",
"abstract": "Finding patterns in graphs has become a vital challenge in many domains from biological systems, network security, to finance (e.g., finding money laundering rings of bankers and business owners). While there is significant interest in graph databases and querying techniques, less research has focused on helping analysts make sense of underlying patterns within a group of subgraph results. Visualizing graph query results is challenging, requiring effective summarization of a large number of subgraphs, each having potentially shared node-values, rich node features, and flexible structure across queries. We present VIGOR, a novel interactive visual analytics system, for exploring and making sense of query results. VIGOR uses multiple coordinated views, leveraging different data representations and organizations to streamline analysts sensemaking process. VIGOR contributes: (1) an exemplar-based interaction technique, where an analyst starts with a specific result and relaxes constraints to find other similar results or starts with only the structure (i.e., without node value constraints), and adds constraints to narrow in on specific results; and (2) a novel feature-aware subgraph result summarization. Through a collaboration with Symantec, we demonstrate how VIGOR helps tackle real-world problems through the discovery of security blindspots in a cybersecurity dataset with over 11,000 incidents. We also evaluate VIGOR with a within-subjects study, demonstrating VIGOR's ease of use over a leading graph database management system, and its ability to help analysts understand their results at higher speed and make fewer errors.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Finding patterns in graphs has become a vital challenge in many domains from biological systems, network security, to finance (e.g., finding money laundering rings of bankers and business owners). While there is significant interest in graph databases and querying techniques, less research has focused on helping analysts make sense of underlying patterns within a group of subgraph results. Visualizing graph query results is challenging, requiring effective summarization of a large number of subgraphs, each having potentially shared node-values, rich node features, and flexible structure across queries. We present VIGOR, a novel interactive visual analytics system, for exploring and making sense of query results. VIGOR uses multiple coordinated views, leveraging different data representations and organizations to streamline analysts sensemaking process. VIGOR contributes: (1) an exemplar-based interaction technique, where an analyst starts with a specific result and relaxes constraints to find other similar results or starts with only the structure (i.e., without node value constraints), and adds constraints to narrow in on specific results; and (2) a novel feature-aware subgraph result summarization. Through a collaboration with Symantec, we demonstrate how VIGOR helps tackle real-world problems through the discovery of security blindspots in a cybersecurity dataset with over 11,000 incidents. We also evaluate VIGOR with a within-subjects study, demonstrating VIGOR's ease of use over a leading graph database management system, and its ability to help analysts understand their results at higher speed and make fewer errors.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Finding patterns in graphs has become a vital challenge in many domains from biological systems, network security, to finance (e.g., finding money laundering rings of bankers and business owners). While there is significant interest in graph databases and querying techniques, less research has focused on helping analysts make sense of underlying patterns within a group of subgraph results. Visualizing graph query results is challenging, requiring effective summarization of a large number of subgraphs, each having potentially shared node-values, rich node features, and flexible structure across queries. We present VIGOR, a novel interactive visual analytics system, for exploring and making sense of query results. VIGOR uses multiple coordinated views, leveraging different data representations and organizations to streamline analysts sensemaking process. VIGOR contributes: (1) an exemplar-based interaction technique, where an analyst starts with a specific result and relaxes constraints to find other similar results or starts with only the structure (i.e., without node value constraints), and adds constraints to narrow in on specific results; and (2) a novel feature-aware subgraph result summarization. Through a collaboration with Symantec, we demonstrate how VIGOR helps tackle real-world problems through the discovery of security blindspots in a cybersecurity dataset with over 11,000 incidents. We also evaluate VIGOR with a within-subjects study, demonstrating VIGOR's ease of use over a leading graph database management system, and its ability to help analysts understand their results at higher speed and make fewer errors.",
"title": "VIGOR: Interactive Visual Exploration of Graph Query Results",
"normalizedTitle": "VIGOR: Interactive Visual Exploration of Graph Query Results",
"fno": "08019832",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualization",
"Logic Gates",
"Computer Security",
"Database Systems",
"Data Mining",
"Visualization",
"Graph Querying",
"Subgraph Results",
"Query Result Visualization"
],
"authors": [
{
"givenName": "Robert",
"surname": "Pienta",
"fullName": "Robert Pienta",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Fred",
"surname": "Hohman",
"fullName": "Fred Hohman",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Alex",
"surname": "Endert",
"fullName": "Alex Endert",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Acar",
"surname": "Tamersoy",
"fullName": "Acar Tamersoy",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Kevin",
"surname": "Roundy",
"fullName": "Kevin Roundy",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Chris",
"surname": "Gates",
"fullName": "Chris Gates",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Shamkant",
"surname": "Navathe",
"fullName": "Shamkant Navathe",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Duen Horng",
"surname": "Chau",
"fullName": "Duen Horng Chau",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2018-01-01 00:00:00",
"pubType": "trans",
"pages": "215-225",
"year": "2018",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icdmw/2014/4274/0/4274b203",
"title": "RQL: A SQL-Like Query Language for Discovering Meaningful Rules",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2014/4274b203/12OmNCm7BFu",
"parentPublication": {
"id": "proceedings/icdmw/2014/4274/0",
"title": "2014 IEEE International Conference on Data Mining Workshop (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2012/4752/0/06400494",
"title": "Visual cluster exploration of web clickstream data",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400494/12OmNxHJ9t7",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asonam/2015/3854/0/07403619",
"title": "Query-based graph cuboid outlier detection",
"doi": null,
"abstractUrl": "/proceedings-article/asonam/2015/07403619/12OmNyqzM2z",
"parentPublication": {
"id": "proceedings/asonam/2015/3854/0",
"title": "2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2010/05/mcg2010050032",
"title": "Newdle: Interactive Visual Exploration of Large Online News Collections",
"doi": null,
"abstractUrl": "/magazine/cg/2010/05/mcg2010050032/13rRUEgariC",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875969",
"title": "GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875969/13rRUwh80Hd",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2013/07/mco2013070022",
"title": "Visual Analytics Infrastructures: From Data Management to Exploration",
"doi": null,
"abstractUrl": "/magazine/co/2013/07/mco2013070022/13rRUx0gelz",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192730",
"title": "TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192730/13rRUxbTMyU",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2006/11/k1441",
"title": "Discovering Frequent Graph Patterns Using Disjoint Paths",
"doi": null,
"abstractUrl": "/journal/tk/2006/11/k1441/13rRUy3xY8u",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/03/07302040",
"title": "Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification",
"doi": null,
"abstractUrl": "/journal/tk/2016/03/07302040/13rRUygBw7w",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aike/2021/3736/0/373600a121",
"title": "QLiG: Query Like a Graph For Subgraph Matching",
"doi": null,
"abstractUrl": "/proceedings-article/aike/2021/373600a121/1BrAzAZZMti",
"parentPublication": {
"id": "proceedings/aike/2021/3736/0",
"title": "2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08017631",
"articleId": "13rRUwcAqql",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08019835",
"articleId": "13rRUIJuxpD",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzvhvFQ",
"title": "January",
"year": "2012",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "18",
"label": "January",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwInvB2",
"doi": "10.1109/TVCG.2010.269",
"abstract": "Prior empirical work on layout aesthetics for graph drawing algorithms has concentrated on the interpretation of existing graph drawings. We report on experiments which focus on the creation and layout of graph drawings: participants were asked to draw graphs based on adjacency lists, and to lay them out \"nicely.” Two interaction methods were used for creating the drawings: a sketch interface which allows for easy, natural hand movements, and a formal point-and-click interface similar to a typical graph editing system. We find, in common with many other studies, that removing edge crossings is the most significant aesthetic, but also discover that aligning nodes and edges to an underlying grid is important. We observe that the aesthetics favored by participants during creation of a graph drawing are often not evident in the final product and that the participants did not make a clear distinction between the processes of creation and layout. Our results suggest that graph drawing systems should integrate automatic layout with the user's manual editing process, and provide facilities to support grid-based graph creation.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Prior empirical work on layout aesthetics for graph drawing algorithms has concentrated on the interpretation of existing graph drawings. We report on experiments which focus on the creation and layout of graph drawings: participants were asked to draw graphs based on adjacency lists, and to lay them out \"nicely.” Two interaction methods were used for creating the drawings: a sketch interface which allows for easy, natural hand movements, and a formal point-and-click interface similar to a typical graph editing system. We find, in common with many other studies, that removing edge crossings is the most significant aesthetic, but also discover that aligning nodes and edges to an underlying grid is important. We observe that the aesthetics favored by participants during creation of a graph drawing are often not evident in the final product and that the participants did not make a clear distinction between the processes of creation and layout. Our results suggest that graph drawing systems should integrate automatic layout with the user's manual editing process, and provide facilities to support grid-based graph creation.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Prior empirical work on layout aesthetics for graph drawing algorithms has concentrated on the interpretation of existing graph drawings. We report on experiments which focus on the creation and layout of graph drawings: participants were asked to draw graphs based on adjacency lists, and to lay them out \"nicely.” Two interaction methods were used for creating the drawings: a sketch interface which allows for easy, natural hand movements, and a formal point-and-click interface similar to a typical graph editing system. We find, in common with many other studies, that removing edge crossings is the most significant aesthetic, but also discover that aligning nodes and edges to an underlying grid is important. We observe that the aesthetics favored by participants during creation of a graph drawing are often not evident in the final product and that the participants did not make a clear distinction between the processes of creation and layout. Our results suggest that graph drawing systems should integrate automatic layout with the user's manual editing process, and provide facilities to support grid-based graph creation.",
"title": "Graph Drawing Aesthetics—Created by Users, Not Algorithms",
"normalizedTitle": "Graph Drawing Aesthetics—Created by Users, Not Algorithms",
"fno": "ttg2012010081",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Evaluation Methodology",
"Graphs And Networks",
"User Interfaces"
],
"authors": [
{
"givenName": "Helen C.",
"surname": "Purchase",
"fullName": "Helen C. Purchase",
"affiliation": "University of Glasgow, Glasgow",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Christopher",
"surname": "Pilcher",
"fullName": "Christopher Pilcher",
"affiliation": "University of Auckland, Auckland",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Beryl",
"surname": "Plimmer",
"fullName": "Beryl Plimmer",
"affiliation": "University of Auckland, Auckland",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2012-01-01 00:00:00",
"pubType": "trans",
"pages": "81-92",
"year": "2012",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vissoft/2002/1662/0/16620023",
"title": "Aesthetics of Class Diagrams",
"doi": null,
"abstractUrl": "/proceedings-article/vissoft/2002/16620023/12OmNApcu9O",
"parentPublication": {
"id": "proceedings/vissoft/2002/1662/0",
"title": "Proceedings First International Workshop on Visualizing Software for Understanding and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdar/1993/4960/0/00395768",
"title": "Drawing image understanding system with capability of rule learning",
"doi": null,
"abstractUrl": "/proceedings-article/icdar/1993/00395768/12OmNC8uRmv",
"parentPublication": {
"id": "proceedings/icdar/1993/4960/0",
"title": "Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/spdp/1991/2310/0/0218215",
"title": "Lower bounds and parallel algorithms for planar orthogonal grid drawings",
"doi": null,
"abstractUrl": "/proceedings-article/spdp/1991/0218215/12OmNrK9q1y",
"parentPublication": {
"id": "proceedings/spdp/1991/2310/0",
"title": "Parallel and Distributed Processing, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/apvis/2007/0808/0/04126224",
"title": "Analysis of a high-dimensional approach to interactive graph drawing",
"doi": null,
"abstractUrl": "/proceedings-article/apvis/2007/04126224/12OmNwcCILb",
"parentPublication": {
"id": "proceedings/apvis/2007/0808/0",
"title": "Asia-Pacific Symposium on Visualisation 2007",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdpsw/2018/5555/0/555501a269",
"title": "Spectral Graph Drawing: Building Blocks and Performance Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/ipdpsw/2018/555501a269/12OmNyYm2rZ",
"parentPublication": {
"id": "proceedings/ipdpsw/2018/5555/0",
"title": "2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2004/8779/0/87790191",
"title": "Dynamic Drawing of Clustered Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2004/87790191/12OmNyugyVo",
"parentPublication": {
"id": "proceedings/ieee-infovis/2004/8779/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2007/05/v1067",
"title": "Drawing on Air: Input Techniques for Controlled 3D Line Illustration",
"doi": null,
"abstractUrl": "/journal/tg/2007/05/v1067/13rRUwhpBO1",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/05/v0813",
"title": "Smashing Peacocks Further: Drawing Quasi-Trees from Biconnected Components",
"doi": null,
"abstractUrl": "/journal/tg/2006/05/v0813/13rRUx0gezN",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1993/03/e0214",
"title": "A Technique for Drawing Directed Graphs",
"doi": null,
"abstractUrl": "/journal/ts/1993/03/e0214/13rRUxDItiN",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08807275",
"title": "<italic>DeepDrawing</italic>: A Deep Learning Approach to Graph Drawing",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08807275/1cG6703GLja",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2012010068",
"articleId": "13rRUx0gefk",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2012010093",
"articleId": "13rRUxly8SS",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzmclnL",
"title": "November/December",
"year": "2006",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "12",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwcS1CP",
"doi": "10.1109/TVCG.2006.91",
"abstract": "Abstract—We introduce an interactive graph generator, GreenSketch, designed to facilitate the creation of descriptive graphs required for different visual analytics tasks. The human-centric design approach of GreenSketch enables users to master the creation process without specific training or prior knowledge of graph model theory. The customized user interface encourages users to gain insight into the connection between the compact matrix representation and the topology of a graph layout when they sketch their graphs. Both the human-enforced and machine-generated randomnesses supported by GreenSketch provide the flexibility needed to address the uncertainty factor in many analytical tasks. This paper describes more than two dozen examples that cover a wide variety of graph creations from a single line of nodes to a real-life small-world network that describes a snapshot of telephone connections. While the discussion focuses mainly on the design of GreenSketch, we include a case study that applies the technology in a visual analytics environment and a usability study that evaluates the strengths and weaknesses of our design approach.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Abstract—We introduce an interactive graph generator, GreenSketch, designed to facilitate the creation of descriptive graphs required for different visual analytics tasks. The human-centric design approach of GreenSketch enables users to master the creation process without specific training or prior knowledge of graph model theory. The customized user interface encourages users to gain insight into the connection between the compact matrix representation and the topology of a graph layout when they sketch their graphs. Both the human-enforced and machine-generated randomnesses supported by GreenSketch provide the flexibility needed to address the uncertainty factor in many analytical tasks. This paper describes more than two dozen examples that cover a wide variety of graph creations from a single line of nodes to a real-life small-world network that describes a snapshot of telephone connections. While the discussion focuses mainly on the design of GreenSketch, we include a case study that applies the technology in a visual analytics environment and a usability study that evaluates the strengths and weaknesses of our design approach.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Abstract—We introduce an interactive graph generator, GreenSketch, designed to facilitate the creation of descriptive graphs required for different visual analytics tasks. The human-centric design approach of GreenSketch enables users to master the creation process without specific training or prior knowledge of graph model theory. The customized user interface encourages users to gain insight into the connection between the compact matrix representation and the topology of a graph layout when they sketch their graphs. Both the human-enforced and machine-generated randomnesses supported by GreenSketch provide the flexibility needed to address the uncertainty factor in many analytical tasks. This paper describes more than two dozen examples that cover a wide variety of graph creations from a single line of nodes to a real-life small-world network that describes a snapshot of telephone connections. While the discussion focuses mainly on the design of GreenSketch, we include a case study that applies the technology in a visual analytics environment and a usability study that evaluates the strengths and weaknesses of our design approach.",
"title": "Generating Graphs for Visual Analytics through Interactive Sketching",
"normalizedTitle": "Generating Graphs for Visual Analytics through Interactive Sketching",
"fno": "v1386",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Visual Analytics",
"Visualization",
"Usability",
"User Interfaces",
"Topology",
"Uncertainty",
"Telephony",
"Testing",
"Algorithm Design And Analysis",
"Routing Protocols",
"Graphs And Networks",
"Data And Knowledge Visualization",
"Information Visualization",
"Visualization Techniques And Methodologies"
],
"authors": [
{
"givenName": "Pak Chung",
"surname": "Wong",
"fullName": "Pak Chung Wong",
"affiliation": "Pacific Northwest Nat. Lab., Richland, WA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Harlan",
"surname": "Foote",
"fullName": "Harlan Foote",
"affiliation": "Pacific Northwest Nat. Lab., Richland, WA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Patrick",
"surname": "Mackey",
"fullName": "Patrick Mackey",
"affiliation": "Pacific Northwest Nat. Lab., Richland, WA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ken",
"surname": "Perrine",
"fullName": "Ken Perrine",
"affiliation": "Pacific Northwest Nat. Lab., Richland, WA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "George",
"surname": "Chin Jr.",
"fullName": "George Chin Jr.",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2006-11-01 00:00:00",
"pubType": "trans",
"pages": "1386-1398",
"year": "2006",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2015/6879/0/07156391",
"title": "Interactive high-dimensional visualization of social graphs",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2015/07156391/12OmNxYL5gh",
"parentPublication": {
"id": "proceedings/pacificvis/2015/6879/0",
"title": "2015 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2006/0591/0/04035749",
"title": "Have Green ? A Visual Analytics Framework for Large Semantic Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2006/04035749/12OmNzQzqgi",
"parentPublication": {
"id": "proceedings/vast/2006/0591/0",
"title": "2006 IEEE Symposium On Visual Analytics Science And Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040026",
"title": "A Graph Algebra for Scalable Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040026/13rRUILLkpN",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2011/05/mcg2011050018",
"title": "Graph Analytics—Lessons Learned and Challenges Ahead",
"doi": null,
"abstractUrl": "/magazine/cg/2011/05/mcg2011050018/13rRUxASu6j",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/06/ttg2013061034",
"title": "PIWI: Visually Exploring Graphs Based on Their Community Structure",
"doi": null,
"abstractUrl": "/journal/tg/2013/06/ttg2013061034/13rRUxd2aYZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/03/08863985",
"title": "Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties",
"doi": null,
"abstractUrl": "/journal/tg/2021/03/08863985/1e0Yn4dt3jO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/06/08891840",
"title": "Understanding Failure Mode Effect Analysis Data Using Interactive Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2019/06/08891840/1eIcadfWnYs",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222072",
"title": "Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222072/1nTqwNTE1AQ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222249",
"title": "CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222249/1nTroT3Yn72",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2021/05/09490333",
"title": "A Visual Analytics Approach for Structural Differences Among Graphs via Deep Learning",
"doi": null,
"abstractUrl": "/magazine/cg/2021/05/09490333/1vmGUJFABLW",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "v1373",
"articleId": "13rRUwkfAZ9",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "v1399",
"articleId": "13rRUxYrbUv",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBOUxmQ",
"title": "November/December",
"year": "2008",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "14",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxBrGgR",
"doi": "10.1109/TVCG.2008.178",
"abstract": "Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web. These data sets have large, non-uniform schema that require costly data integration into structured tables before visualization can begin. We present Vispedia, a Web-based visualization system that reduces the cost of this data integration.\rUsers can browse Wikipedia, select an interesting data table, then use a search interface to discover, integrate, and visualize additional columns of data drawn from multiple Wikipedia articles. This interaction is supported by a fast path search algorithm over DBpedia, a semantic graph extracted from Wikipedia's hyperlink structure. Vispedia can also export the augmented data tables produced for use in traditional visualization systems. We believe that these techniques begin to address the \"long tail\" of visualization by allowing a wider audience to visualize a broader class of data. We evaluated this system in a first-use formative lab study. Study participants were able to quickly create effective visualizations for a diverse set of domains, performing data integration as needed.\r",
"abstracts": [
{
"abstractType": "Regular",
"content": "Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web. These data sets have large, non-uniform schema that require costly data integration into structured tables before visualization can begin. We present Vispedia, a Web-based visualization system that reduces the cost of this data integration.\rUsers can browse Wikipedia, select an interesting data table, then use a search interface to discover, integrate, and visualize additional columns of data drawn from multiple Wikipedia articles. This interaction is supported by a fast path search algorithm over DBpedia, a semantic graph extracted from Wikipedia's hyperlink structure. Vispedia can also export the augmented data tables produced for use in traditional visualization systems. We believe that these techniques begin to address the \"long tail\" of visualization by allowing a wider audience to visualize a broader class of data. We evaluated this system in a first-use formative lab study. Study participants were able to quickly create effective visualizations for a diverse set of domains, performing data integration as needed.\r",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web. These data sets have large, non-uniform schema that require costly data integration into structured tables before visualization can begin. We present Vispedia, a Web-based visualization system that reduces the cost of this data integration.\rUsers can browse Wikipedia, select an interesting data table, then use a search interface to discover, integrate, and visualize additional columns of data drawn from multiple Wikipedia articles. This interaction is supported by a fast path search algorithm over DBpedia, a semantic graph extracted from Wikipedia's hyperlink structure. Vispedia can also export the augmented data tables produced for use in traditional visualization systems. We believe that these techniques begin to address the \"long tail\" of visualization by allowing a wider audience to visualize a broader class of data. We evaluated this system in a first-use formative lab study. Study participants were able to quickly create effective visualizations for a diverse set of domains, performing data integration as needed.\r",
"title": "Vispedia: Interactive Visual Exploration of Wikipedia Data via Search-Based Integration",
"normalizedTitle": "Vispedia: Interactive Visual Exploration of Wikipedia Data via Search-Based Integration",
"fno": "ttg2008061213",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Index Terms Information Visualization",
"Data Integration",
"Wikipedia",
"Semantic Web",
"Search Interface"
],
"authors": [
{
"givenName": "Bryan",
"surname": "Chan",
"fullName": "Bryan Chan",
"affiliation": "Stanford University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Leslie",
"surname": "Wu",
"fullName": "Leslie Wu",
"affiliation": "Stanford University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Justin",
"surname": "Talbot",
"fullName": "Justin Talbot",
"affiliation": "Stanford University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Mike",
"surname": "Cammarano",
"fullName": "Mike Cammarano",
"affiliation": "Stanford University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Pat",
"surname": "Hanrahan",
"fullName": "Pat Hanrahan",
"affiliation": "Stanford University",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2008-11-01 00:00:00",
"pubType": "trans",
"pages": "1213-1220",
"year": "2008",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/itng/2008/3099/0/3099a686",
"title": "Exploiting Wikipedia for Directional Inferential Text Similarity",
"doi": null,
"abstractUrl": "/proceedings-article/itng/2008/3099a686/12OmNAKcNJt",
"parentPublication": {
"id": "proceedings/itng/2008/3099/0",
"title": "2008 5th International Conference on Information Technology: New Generation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/snpd/2009/3642/0/3642a024",
"title": "FolksoViz: A Semantic Relation-Based Folksonomy Visualization Using the Wikipedia Corpus",
"doi": null,
"abstractUrl": "/proceedings-article/snpd/2009/3642a024/12OmNCfSqQG",
"parentPublication": {
"id": "proceedings/snpd/2009/3642/0",
"title": "2009 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/taai/2011/4601/0/4601a069",
"title": "Measuring Semantic Relatedness Using Wikipedia Revision Information in a Signed Network",
"doi": null,
"abstractUrl": "/proceedings-article/taai/2011/4601a069/12OmNCga1Nn",
"parentPublication": {
"id": "proceedings/taai/2011/4601/0",
"title": "2011 International Conference on Technologies and Applications of Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/micai/2008/3441/0/3441a088",
"title": "Topic Calculation and Clustering: An Application to Wikipedia",
"doi": null,
"abstractUrl": "/proceedings-article/micai/2008/3441a088/12OmNqH9hot",
"parentPublication": {
"id": "proceedings/micai/2008/3441/0",
"title": "2008 Seventh Mexican International Conference on Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/semapro/2009/3833/0/3833a056",
"title": "Using Wikipedia as a Reference for Extracting Semantic Information from a Text",
"doi": null,
"abstractUrl": "/proceedings-article/semapro/2009/3833a056/12OmNx8fiaT",
"parentPublication": {
"id": "proceedings/semapro/2009/3833/0",
"title": "Advances in Semantic Processing, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsc/2011/4492/0/4492a328",
"title": "WiGipedia: A Tool for Improving Structured Data in Wikipedia",
"doi": null,
"abstractUrl": "/proceedings-article/icsc/2011/4492a328/12OmNxAlAbb",
"parentPublication": {
"id": "proceedings/icsc/2011/4492/0",
"title": "2011 IEEE Fifth International Conference on Semantic Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cso/2011/4335/0/4335a852",
"title": "Document Topic Extraction Based on Wikipedia Category",
"doi": null,
"abstractUrl": "/proceedings-article/cso/2011/4335a852/12OmNxRF6YM",
"parentPublication": {
"id": "proceedings/cso/2011/4335/0",
"title": "2011 Fourth International Joint Conference on Computational Sciences and Optimization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithingscpscom/2011/4580/0/4580a533",
"title": "Measuring Similarities between Technical Terms Based on Wikipedia",
"doi": null,
"abstractUrl": "/proceedings-article/ithingscpscom/2011/4580a533/12OmNxwnckl",
"parentPublication": {
"id": "proceedings/ithingscpscom/2011/4580/0",
"title": "International Conference on Internet of Things and International Conference on Cyber, Physical and Social Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/greencom/2012/4865/0/4865a717",
"title": "Horizontal Search Method for Wikipedia Category Grouping",
"doi": null,
"abstractUrl": "/proceedings-article/greencom/2012/4865a717/12OmNzmclIC",
"parentPublication": {
"id": "proceedings/greencom/2012/4865/0",
"title": "2012 IEEE International Conference on Green Computing and Communications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ic/2007/05/w5054",
"title": "Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management",
"doi": null,
"abstractUrl": "/magazine/ic/2007/05/w5054/13rRUwj7crr",
"parentPublication": {
"id": "mags/ic",
"title": "IEEE Internet Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2008061205",
"articleId": "13rRUNvgziw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2008061221",
"articleId": "13rRUygT7sv",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXWRMA",
"name": "ttg2008061213.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2008061213.zip",
"extension": "zip",
"size": "28.8 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwFid7w",
"title": "Jan.",
"year": "2019",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "25",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "17D45WYQJ6A",
"doi": "10.1109/TVCG.2018.2865158",
"abstract": "We present Charticulator, an interactive authoring tool that enables the creation of bespoke and reusable chart layouts. Charticulator is our response to most existing chart construction interfaces that require authors to choose from predefined chart layouts, thereby precluding the construction of novel charts. In contrast, Charticulator transforms a chart specification into mathematical layout constraints and automatically computes a set of layout attributes using a constraint-solving algorithm to realize the chart. It allows for the articulation of compound marks or glyphs as well as links between these glyphs, all without requiring any coding or knowledge of constraint satisfaction. Furthermore, thanks to the constraint-based layout approach, Charticulator can export chart designs into reusable templates that can be imported into other visualization tools. In addition to describing Charticulator's conceptual framework and design, we present three forms of evaluation: a gallery to illustrate its expressiveness, a user study to verify its usability, and a click-count comparison between Charticulator and three existing tools. Finally, we discuss the limitations and potentials of Charticulator as well as directions for future research. Charticulator is available with its source code at https://charticulator.com.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We present Charticulator, an interactive authoring tool that enables the creation of bespoke and reusable chart layouts. Charticulator is our response to most existing chart construction interfaces that require authors to choose from predefined chart layouts, thereby precluding the construction of novel charts. In contrast, Charticulator transforms a chart specification into mathematical layout constraints and automatically computes a set of layout attributes using a constraint-solving algorithm to realize the chart. It allows for the articulation of compound marks or glyphs as well as links between these glyphs, all without requiring any coding or knowledge of constraint satisfaction. Furthermore, thanks to the constraint-based layout approach, Charticulator can export chart designs into reusable templates that can be imported into other visualization tools. In addition to describing Charticulator's conceptual framework and design, we present three forms of evaluation: a gallery to illustrate its expressiveness, a user study to verify its usability, and a click-count comparison between Charticulator and three existing tools. Finally, we discuss the limitations and potentials of Charticulator as well as directions for future research. Charticulator is available with its source code at https://charticulator.com.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We present Charticulator, an interactive authoring tool that enables the creation of bespoke and reusable chart layouts. Charticulator is our response to most existing chart construction interfaces that require authors to choose from predefined chart layouts, thereby precluding the construction of novel charts. In contrast, Charticulator transforms a chart specification into mathematical layout constraints and automatically computes a set of layout attributes using a constraint-solving algorithm to realize the chart. It allows for the articulation of compound marks or glyphs as well as links between these glyphs, all without requiring any coding or knowledge of constraint satisfaction. Furthermore, thanks to the constraint-based layout approach, Charticulator can export chart designs into reusable templates that can be imported into other visualization tools. In addition to describing Charticulator's conceptual framework and design, we present three forms of evaluation: a gallery to illustrate its expressiveness, a user study to verify its usability, and a click-count comparison between Charticulator and three existing tools. Finally, we discuss the limitations and potentials of Charticulator as well as directions for future research. Charticulator is available with its source code at https://charticulator.com.",
"title": "Charticulator: Interactive Construction of Bespoke Chart Layouts",
"normalizedTitle": "Charticulator: Interactive Construction of Bespoke Chart Layouts",
"fno": "08440827",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Authoring Systems",
"Constraint Satisfaction Problems",
"Data Visualisation",
"Graph Theory",
"Interactive Systems",
"User Interfaces",
"Bespoke Chart Layouts",
"Interactive Authoring Tool",
"Mathematical Layout Constraints",
"Constraint Based Layout Approach",
"Charticulator",
"Chart Construction Interfaces",
"Constraint Solving Algorithm",
"Glyphs",
"Constraint Satisfaction",
"Visualization Tool",
"Layout",
"Tools",
"Visualization",
"Programming",
"Data Visualization",
"Transforms",
"Interactive Visualization Authoring",
"Chart Layout Design",
"Glyph Design",
"Constraint Based Design",
"Reusable Chart Layout"
],
"authors": [
{
"givenName": "Donghao",
"surname": "Ren",
"fullName": "Donghao Ren",
"affiliation": "University of California, Santa Barbara",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Bongshin",
"surname": "Lee",
"fullName": "Bongshin Lee",
"affiliation": "Microsoft Research",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Matthew",
"surname": "Brehmer",
"fullName": "Matthew Brehmer",
"affiliation": "Microsoft Research",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2019-01-01 00:00:00",
"pubType": "trans",
"pages": "789-799",
"year": "2019",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/sibgrapi/2014/4258/0/4258a220",
"title": "Semantically Aware Dynamic Layouts",
"doi": null,
"abstractUrl": "/proceedings-article/sibgrapi/2014/4258a220/12OmNzSyChl",
"parentPublication": {
"id": "proceedings/sibgrapi/2014/4258/0",
"title": "2014 27th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009060961",
"title": "A Comparison of User-Generated and Automatic Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009060961/13rRUwbaqLs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ai4i/2018/9209/0/08665682",
"title": "Designing Facility Layouts with Hard and Soft Constraints by Evolutionary Algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/ai4i/2018/08665682/18qc2Crd8MU",
"parentPublication": {
"id": "proceedings/ai4i/2018/9209/0",
"title": "2018 First International Conference on Artificial Intelligence for Industries (AI4I)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icst/2022/6679/0/667900a140",
"title": "Automated Repair of Responsive Web Page Layouts",
"doi": null,
"abstractUrl": "/proceedings-article/icst/2022/667900a140/1E2wEvLyhA4",
"parentPublication": {
"id": "proceedings/icst/2022/6679/0",
"title": "2022 IEEE Conference on Software Testing, Verification and Validation (ICST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2018/6861/0/08802415",
"title": "Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2018/08802415/1cJ6WDNOqXK",
"parentPublication": {
"id": "proceedings/vast/2018/6861/0",
"title": "2018 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/04/08906136",
"title": "Global Beautification of 2D and 3D Layouts With Interactive Ambiguity Resolution",
"doi": null,
"abstractUrl": "/journal/tg/2021/04/08906136/1f5qMIjZR5K",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2019/4941/0/08933655",
"title": "Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2019/08933655/1fTgHP2omAM",
"parentPublication": {
"id": "proceedings/vis/2019/4941/0",
"title": "2019 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2021/07/08948239",
"title": "LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks",
"doi": null,
"abstractUrl": "/journal/tp/2021/07/08948239/1geNB7KG1eE",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09223736",
"title": "Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09223736/1nV7HJ2WAak",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2020/9134/0/913400a242",
"title": "A summarization glyph for sets of unreadable visual items in treemaps",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2020/913400a242/1rSRaQV3b3y",
"parentPublication": {
"id": "proceedings/iv/2020/9134/0",
"title": "2020 24th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08444072",
"articleId": "17D45WnnFX7",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08440855",
"articleId": "17D45WK5AqK",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXWRVB",
"name": "ttg201901-08440827s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg201901-08440827s1.zip",
"extension": "zip",
"size": "22.5 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvqEvRo",
"title": "PrePrints",
"year": "5555",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": null,
"label": "PrePrints",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1KaB9SqICWs",
"doi": "10.1109/TVCG.2023.3238909",
"abstract": "Node-link diagrams are widely used to visualize graphs. Most graph layout algorithms only use graph topology for aesthetic goals (e.g., minimize node occlusions and edge crossings) or use node attributes for exploration goals (e.g., preserve visible communities). Existing hybrid methods that bind the two perspectives still suffer from various generation restrictions (e.g., limited input types and required manual adjustments and prior knowledge of graphs) and the imbalance between aesthetic and exploration goals. In this paper, we propose a flexible embedding-based graph exploration pipeline to enjoy the best of both graph topology and node attributes. First, we leverage embedding algorithms for attributed graphs to encode the two perspectives into latent space. Then, we present an embedding-driven graph layout algorithm, GEGraph, which can achieve aesthetic layouts with better community preservation to support an easy interpretation of the graph structure. Next, graph explorations are extended based on the generated graph layout and insights extracted from the embedding vectors. Illustrated with examples, we build a layout-preserving aggregation method with Focus+Context interaction and a related nodes searching approach with multiple proximity strategies. Finally, we conduct quantitative and qualitative evaluations, a user study, and two case studies to validate our approach.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Node-link diagrams are widely used to visualize graphs. Most graph layout algorithms only use graph topology for aesthetic goals (e.g., minimize node occlusions and edge crossings) or use node attributes for exploration goals (e.g., preserve visible communities). Existing hybrid methods that bind the two perspectives still suffer from various generation restrictions (e.g., limited input types and required manual adjustments and prior knowledge of graphs) and the imbalance between aesthetic and exploration goals. In this paper, we propose a flexible embedding-based graph exploration pipeline to enjoy the best of both graph topology and node attributes. First, we leverage embedding algorithms for attributed graphs to encode the two perspectives into latent space. Then, we present an embedding-driven graph layout algorithm, GEGraph, which can achieve aesthetic layouts with better community preservation to support an easy interpretation of the graph structure. Next, graph explorations are extended based on the generated graph layout and insights extracted from the embedding vectors. Illustrated with examples, we build a layout-preserving aggregation method with Focus+Context interaction and a related nodes searching approach with multiple proximity strategies. Finally, we conduct quantitative and qualitative evaluations, a user study, and two case studies to validate our approach.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Node-link diagrams are widely used to visualize graphs. Most graph layout algorithms only use graph topology for aesthetic goals (e.g., minimize node occlusions and edge crossings) or use node attributes for exploration goals (e.g., preserve visible communities). Existing hybrid methods that bind the two perspectives still suffer from various generation restrictions (e.g., limited input types and required manual adjustments and prior knowledge of graphs) and the imbalance between aesthetic and exploration goals. In this paper, we propose a flexible embedding-based graph exploration pipeline to enjoy the best of both graph topology and node attributes. First, we leverage embedding algorithms for attributed graphs to encode the two perspectives into latent space. Then, we present an embedding-driven graph layout algorithm, GEGraph, which can achieve aesthetic layouts with better community preservation to support an easy interpretation of the graph structure. Next, graph explorations are extended based on the generated graph layout and insights extracted from the embedding vectors. Illustrated with examples, we build a layout-preserving aggregation method with Focus+Context interaction and a related nodes searching approach with multiple proximity strategies. Finally, we conduct quantitative and qualitative evaluations, a user study, and two case studies to validate our approach.",
"title": "Graph Exploration with Embedding-Guided Layouts",
"normalizedTitle": "Graph Exploration with Embedding-Guided Layouts",
"fno": "10024388",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Layout",
"Topology",
"Pipelines",
"Feature Extraction",
"Network Topology",
"Clustering Algorithms",
"Hybrid Power Systems",
"Graph Embedding",
"Graph Layout",
"Graph Exploration"
],
"authors": [
{
"givenName": "Leixian",
"surname": "Shen",
"fullName": "Leixian Shen",
"affiliation": "Tsinghua University, Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Zhiwei",
"surname": "Tai",
"fullName": "Zhiwei Tai",
"affiliation": "Tsinghua University, Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Enya",
"surname": "Shen",
"fullName": "Enya Shen",
"affiliation": "Tsinghua University, Beijing, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jianmin",
"surname": "Wang",
"fullName": "Jianmin Wang",
"affiliation": "Tsinghua University, Beijing, China",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2023-01-01 00:00:00",
"pubType": "trans",
"pages": "1-15",
"year": "5555",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2015/6879/0/07156358",
"title": "Laplacian-based dynamic graph visualization",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2015/07156358/12OmNwHQB7U",
"parentPublication": {
"id": "proceedings/pacificvis/2015/6879/0",
"title": "2015 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061301",
"title": "Rapid Graph Layout Using Space Filling Curves",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061301/13rRUx0xPIx",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192724",
"title": "AmbiguityVis: Visualization of Ambiguity in Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192724/13rRUyuegpa",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2023/04/09868157",
"title": "Unsupervised Graph Embedding via Adaptive Graph Learning",
"doi": null,
"abstractUrl": "/journal/tp/2023/04/09868157/1G9WoQwVOHm",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/04/08739137",
"title": "Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach",
"doi": null,
"abstractUrl": "/magazine/cg/2019/04/08739137/1aXM6mNkouI",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08807379",
"title": "Persistent Homology Guided Force-Directed Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08807379/1cG6h8OkgJq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300e521",
"title": "Neural Turtle Graphics for Modeling City Road Layouts",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300e521/1hVleMGTxPW",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2020/8316/0/831600a442",
"title": "Force2Vec: Parallel Force-Directed Graph Embedding",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2020/831600a442/1r54GQx8BUc",
"parentPublication": {
"id": "proceedings/icdm/2020/8316/0",
"title": "2020 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2022/12/09392297",
"title": "Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding",
"doi": null,
"abstractUrl": "/journal/tk/2022/12/09392297/1sq7pCMZtyU",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigdia/2020/2232/0/223200a125",
"title": "Graph Layout Based on Network Embedding and Improved Dimensionality Reduction",
"doi": null,
"abstractUrl": "/proceedings-article/bigdia/2020/223200a125/1stvA7W3Ota",
"parentPublication": {
"id": "proceedings/bigdia/2020/2232/0",
"title": "2020 6th International Conference on Big Data and Information Analytics (BigDIA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "10023985",
"articleId": "1K9stqcyyQM",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "10024360",
"articleId": "1KaBabqZxSg",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvsDHDY",
"title": "Jan.",
"year": "2020",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "26",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1cG6h8OkgJq",
"doi": "10.1109/TVCG.2019.2934802",
"abstract": "Graphs are commonly used to encode relationships among entities, yet their abstractness makes them difficult to analyze. Node-link diagrams are popular for drawing graphs, and force-directed layouts provide a flexible method for node arrangements that use local relationships in an attempt to reveal the global shape of the graph. However, clutter and overlap of unrelated structures can lead to confusing graph visualizations. This paper leverages the persistent homology features of an undirected graph as derived information for interactive manipulation of force-directed layouts. We first discuss how to efficiently extract 0-dimensional persistent homology features from both weighted and unweighted undirected graphs. We then introduce the interactive persistence barcode used to manipulate the force-directed graph layout. In particular, the user adds and removes contracting and repulsing forces generated by the persistent homology features, eventually selecting the set of persistent homology features that most improve the layout. Finally, we demonstrate the utility of our approach across a variety of synthetic and real datasets.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Graphs are commonly used to encode relationships among entities, yet their abstractness makes them difficult to analyze. Node-link diagrams are popular for drawing graphs, and force-directed layouts provide a flexible method for node arrangements that use local relationships in an attempt to reveal the global shape of the graph. However, clutter and overlap of unrelated structures can lead to confusing graph visualizations. This paper leverages the persistent homology features of an undirected graph as derived information for interactive manipulation of force-directed layouts. We first discuss how to efficiently extract 0-dimensional persistent homology features from both weighted and unweighted undirected graphs. We then introduce the interactive persistence barcode used to manipulate the force-directed graph layout. In particular, the user adds and removes contracting and repulsing forces generated by the persistent homology features, eventually selecting the set of persistent homology features that most improve the layout. Finally, we demonstrate the utility of our approach across a variety of synthetic and real datasets.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Graphs are commonly used to encode relationships among entities, yet their abstractness makes them difficult to analyze. Node-link diagrams are popular for drawing graphs, and force-directed layouts provide a flexible method for node arrangements that use local relationships in an attempt to reveal the global shape of the graph. However, clutter and overlap of unrelated structures can lead to confusing graph visualizations. This paper leverages the persistent homology features of an undirected graph as derived information for interactive manipulation of force-directed layouts. We first discuss how to efficiently extract 0-dimensional persistent homology features from both weighted and unweighted undirected graphs. We then introduce the interactive persistence barcode used to manipulate the force-directed graph layout. In particular, the user adds and removes contracting and repulsing forces generated by the persistent homology features, eventually selecting the set of persistent homology features that most improve the layout. Finally, we demonstrate the utility of our approach across a variety of synthetic and real datasets.",
"title": "Persistent Homology Guided Force-Directed Graph Layouts",
"normalizedTitle": "Persistent Homology Guided Force-Directed Graph Layouts",
"fno": "08807379",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualisation",
"Directed Graphs",
"Interactive Systems",
"Unweighted Undirected Graphs",
"Interactive Persistence Barcode",
"Persistent Homology",
"Node Link Diagrams",
"Force Directed Layouts",
"0 Dimensional Persistent Homology Features",
"Weighted Undirected Graphs",
"Layout",
"Feature Extraction",
"Visualization",
"Extraterrestrial Measurements",
"Clutter",
"Data Visualization",
"Graph Drawing",
"Force Directed Layout",
"Topological Data Analysis",
"Persistent Homology"
],
"authors": [
{
"givenName": "Ashley",
"surname": "Suh",
"fullName": "Ashley Suh",
"affiliation": "University of South Florida, Tufts University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Mustafa",
"surname": "Hajij",
"fullName": "Mustafa Hajij",
"affiliation": "Ohio State University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Bei",
"surname": "Wang",
"fullName": "Bei Wang",
"affiliation": "University of Utah",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Carlos",
"surname": "Scheidegger",
"fullName": "Carlos Scheidegger",
"affiliation": "University of Arizona",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Paul",
"surname": "Rosen",
"fullName": "Paul Rosen",
"affiliation": "University of South Florida",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2020-01-01 00:00:00",
"pubType": "trans",
"pages": "697-707",
"year": "2020",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2017/0831/0/0831a288",
"title": "Sketch-Based Interactions for Untangling of Force-Directed Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2017/0831a288/12OmNyO8tVY",
"parentPublication": {
"id": "proceedings/iv/2017/0831/0",
"title": "2017 21st International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/2017/2324/0/2324a555",
"title": "Using Persistent Homology to Represent Online Social Network Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/mass/2017/2324a555/12OmNzFMFnD",
"parentPublication": {
"id": "proceedings/mass/2017/2324/0",
"title": "2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2018/1424/0/142401a125",
"title": "Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2018/142401a125/12OmNzlD9qX",
"parentPublication": {
"id": "proceedings/pacificvis/2018/1424/0",
"title": "2018 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2018/5035/0/08622440",
"title": "Cluster-based Data Reduction for Persistent Homology",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2018/08622440/17D45VObpRE",
"parentPublication": {
"id": "proceedings/big-data/2018/5035/0",
"title": "2018 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/2022/2055/0/205500b112",
"title": "Harmonic Persistent Homology (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/focs/2022/205500b112/1BtfFyNBARO",
"parentPublication": {
"id": "proceedings/focs/2022/2055/0",
"title": "2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/topoinvis/2022/9354/0/935400a081",
"title": "Untangling Force-Directed Layouts Using Persistent Homology",
"doi": null,
"abstractUrl": "/proceedings-article/topoinvis/2022/935400a081/1J2XKiZs7xS",
"parentPublication": {
"id": "proceedings/topoinvis/2022/9354/0",
"title": "2022 Topological Data Analysis and Visualization (TopoInVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/10024360",
"title": "Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/10024360/1KaBabqZxSg",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ldav/2019/2605/0/08944364",
"title": "Force-Directed Graph Layouts by Edge Sampling",
"doi": null,
"abstractUrl": "/proceedings-article/ldav/2019/08944364/1grOFicLl9S",
"parentPublication": {
"id": "proceedings/ldav/2019/2605/0",
"title": "2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ldav/2020/8468/0/846800a053",
"title": "A Distributed Algorithm for Force Directed Edge Bundling",
"doi": null,
"abstractUrl": "/proceedings-article/ldav/2020/846800a053/1pZ0Ti8Eb4s",
"parentPublication": {
"id": "proceedings/ldav/2020/8468/0",
"title": "2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/12/09531544",
"title": "Persistence Cycles for Visual Exploration of Persistent Homology",
"doi": null,
"abstractUrl": "/journal/tg/2022/12/09531544/1wJl2dHzjrO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08807234",
"articleId": "1cG6kigQUVO",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08805455",
"articleId": "1cG4y9tZbPO",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1fe9SK1zWEM",
"name": "ttg202001-08807379s1.zip",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202001-08807379s1.zip",
"extension": "zip",
"size": "98.7 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1rvygosnS8M",
"title": "April",
"year": "2021",
"issueNum": "04",
"idPrefix": "tg",
"pubType": "journal",
"volume": "27",
"label": "April",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1f5qMIjZR5K",
"doi": "10.1109/TVCG.2019.2954321",
"abstract": "Specifying precise relationships among graphic elements is often a time-consuming process with traditional alignment tools. Automatic beautification of roughly designed layouts can provide a more efficient solution but often lead to undesired results due to ambiguity problems. To facilitate ambiguity resolution in layout beautification, we present a novel user interface for visualizing and editing inferred relationships through an automatic global layout beautification process. First, our interface provides a preview of the beautified layout with inferred constraints without directly modifying an input layout. In this way, the user can easily keep refining beautification results by interactively repositioning and/or resizing elements in the input layout. Second, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures. Our technique is applicable to both 2D and 3D global layout beautification, supported by efficient system implementation that provides instant user feedback. Our user study validates that our tool is capable of creating, editing, and refining layouts of graphic elements, and is significantly faster than the standard snap-dragging or command-based alignment tools for both 2D and 3D layout tasks.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Specifying precise relationships among graphic elements is often a time-consuming process with traditional alignment tools. Automatic beautification of roughly designed layouts can provide a more efficient solution but often lead to undesired results due to ambiguity problems. To facilitate ambiguity resolution in layout beautification, we present a novel user interface for visualizing and editing inferred relationships through an automatic global layout beautification process. First, our interface provides a preview of the beautified layout with inferred constraints without directly modifying an input layout. In this way, the user can easily keep refining beautification results by interactively repositioning and/or resizing elements in the input layout. Second, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures. Our technique is applicable to both 2D and 3D global layout beautification, supported by efficient system implementation that provides instant user feedback. Our user study validates that our tool is capable of creating, editing, and refining layouts of graphic elements, and is significantly faster than the standard snap-dragging or command-based alignment tools for both 2D and 3D layout tasks.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Specifying precise relationships among graphic elements is often a time-consuming process with traditional alignment tools. Automatic beautification of roughly designed layouts can provide a more efficient solution but often lead to undesired results due to ambiguity problems. To facilitate ambiguity resolution in layout beautification, we present a novel user interface for visualizing and editing inferred relationships through an automatic global layout beautification process. First, our interface provides a preview of the beautified layout with inferred constraints without directly modifying an input layout. In this way, the user can easily keep refining beautification results by interactively repositioning and/or resizing elements in the input layout. Second, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures. Our technique is applicable to both 2D and 3D global layout beautification, supported by efficient system implementation that provides instant user feedback. Our user study validates that our tool is capable of creating, editing, and refining layouts of graphic elements, and is significantly faster than the standard snap-dragging or command-based alignment tools for both 2D and 3D layout tasks.",
"title": "Global Beautification of 2D and 3D Layouts With Interactive Ambiguity Resolution",
"normalizedTitle": "Global Beautification of 2D and 3D Layouts With Interactive Ambiguity Resolution",
"fno": "08906136",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualisation",
"Gesture Recognition",
"User Interfaces",
"Global Beautification",
"Interactive Ambiguity Resolution",
"Graphic Elements",
"Automatic Beautification",
"Ambiguity Problems",
"User Interface",
"Inferred Relationships",
"Automatic Global Layout Beautification Process",
"Beautified Layout",
"Resizing Elements",
"Gestural Interface",
"Visualized Constraints",
"3 D Global Layout Beautification",
"Instant User Feedback",
"User Study Validates",
"3 D Layout Tasks",
"Interactive Repositioning",
"Automatically Inferred Constraints",
"2 D Global Layout Beautification",
"Layout",
"Tools",
"Three Dimensional Displays",
"Two Dimensional Displays",
"User Interfaces",
"Visualization",
"Global Beautification",
"Layout Editing",
"Snapping",
"Alignment",
"Ambiguity Resolution",
"Gestural Interface"
],
"authors": [
{
"givenName": "Pengfei",
"surname": "Xu",
"fullName": "Pengfei Xu",
"affiliation": "Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Visual Computing Research Center (VCC), Shenzhen University, Shenzhen, Guangdong, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Guohang",
"surname": "Yan",
"fullName": "Guohang Yan",
"affiliation": "Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Visual Computing Research Center (VCC), Shenzhen University, Shenzhen, Guangdong, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Hongbo",
"surname": "Fu",
"fullName": "Hongbo Fu",
"affiliation": "City University of Hong Kong, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Takeo",
"surname": "Igarashi",
"fullName": "Takeo Igarashi",
"affiliation": "University of Tokyo, Bunkyo City, Tokyo, Japan",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Chiew-Lan",
"surname": "Tai",
"fullName": "Chiew-Lan Tai",
"affiliation": "Hong Kong University of Science & Technology, Kowloon, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Hui",
"surname": "Huang",
"fullName": "Hui Huang",
"affiliation": "Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Visual Computing Research Center (VCC), Shenzhen University, Shenzhen, Guangdong, China",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2021-04-01 00:00:00",
"pubType": "trans",
"pages": "2355-2368",
"year": "2021",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/sibgrapi/2016/3568/0/3568a128",
"title": "Interactive Editing of C1-Continuous 2D Spline Deformations Using ECLES Method",
"doi": null,
"abstractUrl": "/proceedings-article/sibgrapi/2016/3568a128/12OmNBKW9By",
"parentPublication": {
"id": "proceedings/sibgrapi/2016/3568/0",
"title": "2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2014/4761/0/06890211",
"title": "Video face beautification",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2014/06890211/12OmNwxlrfp",
"parentPublication": {
"id": "proceedings/icme/2014/4761/0",
"title": "2014 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vl/1999/0216/0/02160012",
"title": "Constraint-Based Diagram Beautification",
"doi": null,
"abstractUrl": "/proceedings-article/vl/1999/02160012/12OmNxVV5ZU",
"parentPublication": {
"id": "proceedings/vl/1999/0216/0",
"title": "Visual Languages, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2018/3365/0/08446341",
"title": "Immersing Web3D Furniture into Real Interior Images",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2018/08446341/13bd1rsER20",
"parentPublication": {
"id": "proceedings/vr/2018/3365/0",
"title": "2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192724",
"title": "AmbiguityVis: Visualization of Ambiguity in Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192724/13rRUyuegpa",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440034",
"title": "Probabilistic Asymptotic Decider for Topological Ambiguity Resolution in Level-Set Extraction for Uncertain 2D Data",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440034/17D45Vw15xr",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/642000a302",
"title": "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000a302/17D45Wc1IJG",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2021/07/08948239",
"title": "LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks",
"doi": null,
"abstractUrl": "/journal/tp/2021/07/08948239/1geNB7KG1eE",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300i647",
"title": "Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300i647/1hQqhrIltn2",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2020/10/08737746",
"title": "Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts",
"doi": null,
"abstractUrl": "/journal/tp/2020/10/08737746/1mP22G2vmOA",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08894500",
"articleId": "1eNbh4fCqzu",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09288641",
"articleId": "1pq6982P34Q",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1rxdm3XqZDq",
"name": "ttg202104-08906136s1-supp2-2954321.mp4",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202104-08906136s1-supp2-2954321.mp4",
"extension": "mp4",
"size": "72.9 MB",
"__typename": "WebExtraType"
},
{
"id": "1rxdohFJ4e4",
"name": "ttg202104-08906136s1-supp1-2954321.pdf",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg202104-08906136s1-supp1-2954321.pdf",
"extension": "pdf",
"size": "156 kB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxwENDN",
"title": "May/June",
"year": "2007",
"issueNum": "03",
"idPrefix": "tg",
"pubType": "journal",
"volume": "13",
"label": "May/June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyYSWsK",
"doi": "10.1109/TVCG.2007.1010",
"abstract": "Abstract—Few existing visualization systems can handle large data sets with hundreds of dimensions, since high-dimensional data sets cause clutter on the display and large response time in interactive exploration. In this paper, we present a significantly improved multidimensional visualization approach named Value and Relation (VaR) display that allows users to effectively and efficiently explore large data sets with several hundred dimensions. In the VaR display, data values and dimension relationships are explicitly visualized in the same display by using dimension glyphs to explicitly represent values in dimensions and glyph layout to explicitly convey dimension relationships. In particular, pixel-oriented techniques and density-based scatterplots are used to create dimension glyphs to convey values. Multidimensional scaling, Jigsaw map hierarchy visualization techniques, and an animation metaphor named Rainfall are used to convey relationships among dimensions. A rich set of interaction tools has been provided to allow users to interactively detect patterns of interest in the VaR display. A prototype of the VaR display has been fully implemented. The case studies presented in this paper show how the prototype supports interactive exploration of data sets of several hundred dimensions. A user study evaluating the prototype is also reported in this paper.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Abstract—Few existing visualization systems can handle large data sets with hundreds of dimensions, since high-dimensional data sets cause clutter on the display and large response time in interactive exploration. In this paper, we present a significantly improved multidimensional visualization approach named Value and Relation (VaR) display that allows users to effectively and efficiently explore large data sets with several hundred dimensions. In the VaR display, data values and dimension relationships are explicitly visualized in the same display by using dimension glyphs to explicitly represent values in dimensions and glyph layout to explicitly convey dimension relationships. In particular, pixel-oriented techniques and density-based scatterplots are used to create dimension glyphs to convey values. Multidimensional scaling, Jigsaw map hierarchy visualization techniques, and an animation metaphor named Rainfall are used to convey relationships among dimensions. A rich set of interaction tools has been provided to allow users to interactively detect patterns of interest in the VaR display. A prototype of the VaR display has been fully implemented. The case studies presented in this paper show how the prototype supports interactive exploration of data sets of several hundred dimensions. A user study evaluating the prototype is also reported in this paper.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Abstract—Few existing visualization systems can handle large data sets with hundreds of dimensions, since high-dimensional data sets cause clutter on the display and large response time in interactive exploration. In this paper, we present a significantly improved multidimensional visualization approach named Value and Relation (VaR) display that allows users to effectively and efficiently explore large data sets with several hundred dimensions. In the VaR display, data values and dimension relationships are explicitly visualized in the same display by using dimension glyphs to explicitly represent values in dimensions and glyph layout to explicitly convey dimension relationships. In particular, pixel-oriented techniques and density-based scatterplots are used to create dimension glyphs to convey values. Multidimensional scaling, Jigsaw map hierarchy visualization techniques, and an animation metaphor named Rainfall are used to convey relationships among dimensions. A rich set of interaction tools has been provided to allow users to interactively detect patterns of interest in the VaR display. A prototype of the VaR display has been fully implemented. The case studies presented in this paper show how the prototype supports interactive exploration of data sets of several hundred dimensions. A user study evaluating the prototype is also reported in this paper.",
"title": "Value and Relation Display: Interactive Visual Exploration of Large Data Sets with Hundreds of Dimensions",
"normalizedTitle": "Value and Relation Display: Interactive Visual Exploration of Large Data Sets with Hundreds of Dimensions",
"fno": "v0494",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Multidimensional Visualization",
"High Dimensional Data Sets",
"Visual Analytics"
],
"authors": [
{
"givenName": "Jing",
"surname": "Yang",
"fullName": "Jing Yang",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Daniel",
"surname": "Hubball",
"fullName": "Daniel Hubball",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Matthew O.",
"surname": "Ward",
"fullName": "Matthew O. Ward",
"affiliation": "IEEE Computer Society",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Elke A.",
"surname": "Rundensteiner",
"fullName": "Elke A. Rundensteiner",
"affiliation": "IEEE Computer Society",
"__typename": "ArticleAuthorType"
},
{
"givenName": "William",
"surname": "Ribarsky",
"fullName": "William Ribarsky",
"affiliation": "IEEE Computer Society",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2007-05-01 00:00:00",
"pubType": "trans",
"pages": "494-507",
"year": "2007",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ieee-infovis/2004/8779/0/87790073",
"title": "Value and Relation Display for Interactive Exploration of High Dimensional Datasets",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2004/87790073/12OmNB7LvJ4",
"parentPublication": {
"id": "proceedings/ieee-infovis/2004/8779/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2003/2055/0/20550014",
"title": "Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2003/20550014/12OmNBCHMIt",
"parentPublication": {
"id": "proceedings/ieee-infovis/2003/2055/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/1996/7668/0/76680072",
"title": "Animating multidimensional scaling to visualize N-dimensional data sets",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/1996/76680072/12OmNCesr2B",
"parentPublication": {
"id": "proceedings/ieee-infovis/1996/7668/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2004/2177/0/21770605",
"title": "Represented and Representing Dimensions in Relational Information Displays",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2004/21770605/12OmNrIrPtZ",
"parentPublication": {
"id": "proceedings/iv/2004/2177/0",
"title": "Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2004/8779/0/87790089",
"title": "Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2004/87790089/12OmNs5rkRK",
"parentPublication": {
"id": "proceedings/ieee-infovis/2004/8779/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2006/0591/0/04035765",
"title": "Semantic Image Browser: Bridging Information Visualization with Automated Intelligent Image Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2006/04035765/12OmNvDZF4u",
"parentPublication": {
"id": "proceedings/vast/2006/0591/0",
"title": "2006 IEEE Symposium On Visual Analytics Science And Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2012/4752/0/06400536",
"title": "The spatiotemporal multivariate hypercube for discovery of patterns in event data",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400536/12OmNvnOwsG",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdps/2006/0054/0/01639304",
"title": "Bitmap indexes for large scientific data sets: a case study",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2006/01639304/12OmNwp74Nh",
"parentPublication": {
"id": "proceedings/ipdps/2006/0054/0",
"title": "Proceedings 20th IEEE International Parallel & Distributed Processing Symposium",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/12/ttg2011122591",
"title": "Brushing Dimensions—A Dual Visual Analysis Model for High-Dimensional Data",
"doi": null,
"abstractUrl": "/journal/tg/2011/12/ttg2011122591/13rRUwInvf4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2003/2055/0/01249015",
"title": "Interactive hierarchical dimension ordering, spacing and filtering for exploration of high dimensional datasets",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2003/01249015/18M76LncjTO",
"parentPublication": {
"id": "proceedings/ieee-infovis/2003/2055/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "04297693",
"articleId": "13rRUEgarBl",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "v0508",
"articleId": "13rRUxDIth7",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNyr8Ys4",
"title": "June",
"year": "2007",
"issueNum": "03",
"idPrefix": "nt",
"pubType": "journal",
"volume": "15",
"label": "June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwd9CIv",
"doi": "10.1109/TNET.2007.893227",
"abstract": "In this paper we propose a new approach for dealing with the ill-posed nature of traffic matrix estimation. We present three solution enhancers: an algorithm for deliberately changing link weights to obtain additional information that can make the underlying linear system full rank; a cyclo-stationary model to capture both long-term and short-term traffic variability, and a method for estimating the variance of origin-destination (OD) flows. We show how these three elements can be combined into a comprehensive traffic matrix estimation procedure that dramatically reduces the errors compared to existing methods. We demonstrate that our variance estimates can be used to identify the elephant OD flows, and we thus propose a variant of our algorithm that addresses the problem of estimating only the heavy flows in a traffic matrix. One of our key findings is that by focusing only on heavy flows, we can simplify the measurement and estimation procedure so as to render it more practical. Although there is a tradeoff between practicality and accuracy, we find that increasing the rank is so helpful that we can nevertheless keep the average errors consistently below the 10% carrier target error rate. We validate the effectiveness of our methodology and the intuition behind it using commercial traffic matrix data from Sprint's Tier-1 backbone.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper we propose a new approach for dealing with the ill-posed nature of traffic matrix estimation. We present three solution enhancers: an algorithm for deliberately changing link weights to obtain additional information that can make the underlying linear system full rank; a cyclo-stationary model to capture both long-term and short-term traffic variability, and a method for estimating the variance of origin-destination (OD) flows. We show how these three elements can be combined into a comprehensive traffic matrix estimation procedure that dramatically reduces the errors compared to existing methods. We demonstrate that our variance estimates can be used to identify the elephant OD flows, and we thus propose a variant of our algorithm that addresses the problem of estimating only the heavy flows in a traffic matrix. One of our key findings is that by focusing only on heavy flows, we can simplify the measurement and estimation procedure so as to render it more practical. Although there is a tradeoff between practicality and accuracy, we find that increasing the rank is so helpful that we can nevertheless keep the average errors consistently below the 10% carrier target error rate. We validate the effectiveness of our methodology and the intuition behind it using commercial traffic matrix data from Sprint's Tier-1 backbone.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper we propose a new approach for dealing with the ill-posed nature of traffic matrix estimation. We present three solution enhancers: an algorithm for deliberately changing link weights to obtain additional information that can make the underlying linear system full rank; a cyclo-stationary model to capture both long-term and short-term traffic variability, and a method for estimating the variance of origin-destination (OD) flows. We show how these three elements can be combined into a comprehensive traffic matrix estimation procedure that dramatically reduces the errors compared to existing methods. We demonstrate that our variance estimates can be used to identify the elephant OD flows, and we thus propose a variant of our algorithm that addresses the problem of estimating only the heavy flows in a traffic matrix. One of our key findings is that by focusing only on heavy flows, we can simplify the measurement and estimation procedure so as to render it more practical. Although there is a tradeoff between practicality and accuracy, we find that increasing the rank is so helpful that we can nevertheless keep the average errors consistently below the 10% carrier target error rate. We validate the effectiveness of our methodology and the intuition behind it using commercial traffic matrix data from Sprint's Tier-1 backbone.",
"title": "Estimating dynamic traffic matrices by using viable routing changes",
"normalizedTitle": "Estimating dynamic traffic matrices by using viable routing changes",
"fno": "04237155",
"hasPdf": true,
"idPrefix": "nt",
"keywords": [
"IP Networks",
"Matrix Algebra",
"Telecommunication Network Routing",
"Telecommunication Traffic",
"Sprint Tier 1 Backbone",
"Carrier Target Error Rate",
"Variance Estimates",
"Origin Destination Flows",
"Traffic Variability",
"Linear System Full Rank",
"Link Weights",
"Traffic Matrix Estimation",
"Dynamic Traffic Matrix",
"Routing",
"Telecommunication Traffic",
"Traffic Control",
"Spine",
"Fault Diagnosis",
"Vectors",
"Linear Systems",
"Error Analysis",
"Tomography",
"Internet",
"Network Tomography",
"SNMP",
"Traffic Engineering",
"Traffic Matrix Estimation"
],
"authors": [
{
"givenName": "Augustin",
"surname": "Soule",
"fullName": "Augustin Soule",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Antonio",
"surname": "Nucci",
"fullName": "Antonio Nucci",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rene L.",
"surname": "Cruz",
"fullName": "Rene L. Cruz",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Emilio",
"surname": "Leonardi",
"fullName": "Emilio Leonardi",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Nina",
"surname": "Taft",
"fullName": "Nina Taft",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2007-05-01 00:00:00",
"pubType": "trans",
"pages": "485-498",
"year": "2007",
"issn": "1063-6692",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icicta/2009/3804/3/3804c591",
"title": "Estimate Method of Transport Volume of Regional Highway Network Based on Traffic Volume",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2009/3804c591/12OmNAWpyqV",
"parentPublication": {
"id": null,
"title": null,
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/saint/2002/1447/0/14470256",
"title": "Inferring Traffic Flow Characteristics from Aggregated-Flow Measurement",
"doi": null,
"abstractUrl": "/proceedings-article/saint/2002/14470256/12OmNAle70L",
"parentPublication": {
"id": "proceedings/saint/2002/1447/0",
"title": "Proceedings 2002 Symposium on Applications and the Internet (SAINT 2002)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2006/2747/0/04061339",
"title": "Origin-Destination Network Tomography with Bayesian Inversion Approach",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2006/04061339/12OmNBOllof",
"parentPublication": {
"id": "proceedings/wi/2006/2747/0",
"title": "2006 IEEE/WIC/ACM International Conference on Web Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pdcat/2011/4564/0/4564a116",
"title": "Diffusion Wavelets-Based Analysis on Traffic Matrices",
"doi": null,
"abstractUrl": "/proceedings-article/pdcat/2011/4564a116/12OmNxFaLpW",
"parentPublication": {
"id": "proceedings/pdcat/2011/4564/0",
"title": "Parallel and Distributed Computing Applications and Technologies, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cso/2009/3605/2/3605c147",
"title": "Modeling Correlation between Origin-Destination Traffic Demands in Stochastic Transportation Networks",
"doi": null,
"abstractUrl": "/proceedings-article/cso/2009/3605c147/12OmNxwWozE",
"parentPublication": {
"id": "proceedings/cso/2009/3605/2",
"title": "2009 International Joint Conference on Computational Sciences and Optimization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nas/2014/4087/0/4087a007",
"title": "SFTB: Scheduling Flows to Quickly Fit Traffic Burst in Data Center Networks: A Traffic Balancing Framework Based on Congestion Feedback",
"doi": null,
"abstractUrl": "/proceedings-article/nas/2014/4087a007/12OmNy49sKT",
"parentPublication": {
"id": "proceedings/nas/2014/4087/0",
"title": "2014 9th IEEE International Conference on Networking, Architecture, and Storage (NAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbd/2017/1072/0/1072a075",
"title": "Estimating SDN Traffic Matrix Based on Online Informative Flow Measurement Method",
"doi": null,
"abstractUrl": "/proceedings-article/cbd/2017/1072a075/12OmNzGlRG8",
"parentPublication": {
"id": "proceedings/cbd/2017/1072/0",
"title": "2017 Fifth International Conference on Advanced Cloud and Big Data (CBD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/infcom/2003/7752/3/01209205",
"title": "Small-time scaling behaviors of Internet backbone traffic: an empirical study",
"doi": null,
"abstractUrl": "/proceedings-article/infcom/2003/01209205/12OmNzayNsu",
"parentPublication": {
"id": "proceedings/infcom/2003/7752/3",
"title": "IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2005/05/01528486",
"title": "Estimating point-to-point and point-to-multipoint traffic matrices: an information-theoretic approach",
"doi": null,
"abstractUrl": "/journal/nt/2005/05/01528486/13rRUwh80zS",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2010/01/05272256",
"title": "Gradually reconfiguring virtual network topologies based on estimated traffic matrices",
"doi": null,
"abstractUrl": "/journal/nt/2010/01/05272256/13rRUxBa5ub",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "04237141",
"articleId": "13rRUyoyhL7",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04237157",
"articleId": "13rRUwjGoIv",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAlvHDu",
"title": "Dec.",
"year": "2007",
"issueNum": "06",
"idPrefix": "nt",
"pubType": "journal",
"volume": "15",
"label": "Dec.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwgQpnS",
"doi": "10.1109/TNET.2007.902686",
"abstract": "When using link-state protocols such as OSPF or IS-IS, forwarding loops can occur transiently when the routers adapt their forwarding tables as a response to a topological change. In this paper, we present a mechanism that lets the network converge to its optimal forwarding state without risking any transient loops and the related packet loss. The mechanism is based on an ordering of the updates of the forwarding tables of the routers. Our solution can be used in the case of a planned change in the state of a set of links and in the case of unpredictable changes when combined with a local protection scheme. The supported topology changes are link transitions from up to down, down to up, and updates of link metrics. Finally, we show by simulations that sub-second loop-free convergence is possible on a large Tier-1 ISP network.",
"abstracts": [
{
"abstractType": "Regular",
"content": "When using link-state protocols such as OSPF or IS-IS, forwarding loops can occur transiently when the routers adapt their forwarding tables as a response to a topological change. In this paper, we present a mechanism that lets the network converge to its optimal forwarding state without risking any transient loops and the related packet loss. The mechanism is based on an ordering of the updates of the forwarding tables of the routers. Our solution can be used in the case of a planned change in the state of a set of links and in the case of unpredictable changes when combined with a local protection scheme. The supported topology changes are link transitions from up to down, down to up, and updates of link metrics. Finally, we show by simulations that sub-second loop-free convergence is possible on a large Tier-1 ISP network.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "When using link-state protocols such as OSPF or IS-IS, forwarding loops can occur transiently when the routers adapt their forwarding tables as a response to a topological change. In this paper, we present a mechanism that lets the network converge to its optimal forwarding state without risking any transient loops and the related packet loss. The mechanism is based on an ordering of the updates of the forwarding tables of the routers. Our solution can be used in the case of a planned change in the state of a set of links and in the case of unpredictable changes when combined with a local protection scheme. The supported topology changes are link transitions from up to down, down to up, and updates of link metrics. Finally, we show by simulations that sub-second loop-free convergence is possible on a large Tier-1 ISP network.",
"title": "Avoiding transient loops during the convergence of link-state routing protocols",
"normalizedTitle": "Avoiding transient loops during the convergence of link-state routing protocols",
"fno": "04403228",
"hasPdf": true,
"idPrefix": "nt",
"keywords": [
"Protocols",
"Telecommunication Network Routing",
"Telecommunication Network Topology",
"Link State Routing Protocols",
"Transient Loops",
"OSPF",
"IS IS",
"Forwarding State",
"Subsecond Loop Free Convergence",
"Convergence",
"Routing Protocols",
"Protection",
"IP Networks",
"Network Topology",
"Telecommunication Traffic",
"Multiprotocol Label Switching",
"Web And Internet Services",
"Costs",
"Link State Routing Protocols",
"Loop Avoidance",
"Network Reliability",
"Routing",
"Routing Convergence"
],
"authors": [
{
"givenName": "Pierre",
"surname": "Francois",
"fullName": "Pierre Francois",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Olivier",
"surname": "Bonaventure",
"fullName": "Olivier Bonaventure",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2007-11-01 00:00:00",
"pubType": "trans",
"pages": "1280-1292",
"year": "2007",
"issn": "1063-6692",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/infcom/2002/7476/2/01019335",
"title": "Avoiding instability during graceful shutdown of OSPF",
"doi": null,
"abstractUrl": "/proceedings-article/infcom/2002/01019335/12OmNAHW0H9",
"parentPublication": {
"id": "proceedings/infcom/2002/7476/2",
"title": "Proceedings of IEEE Information Communications Conference (INFOCOM 2002)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcomp-workshops/2014/6447/0/07046668",
"title": "Time-efficient transient loops avoiding in snapshot routing algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/smartcomp-workshops/2014/07046668/12OmNBWzHPX",
"parentPublication": {
"id": "proceedings/smartcomp-workshops/2014/6447/0",
"title": "2014 International Conference on Smart Computing Workshops (SMARTCOMP Workshops)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/milcom/2006/0617/0/04086807",
"title": "BGP Rerouting Solutions for Transient Routing Failures and Loops",
"doi": null,
"abstractUrl": "/proceedings-article/milcom/2006/04086807/12OmNvkpkUN",
"parentPublication": {
"id": "proceedings/milcom/2006/0617/0",
"title": "MILCOM 2006",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsnc/2010/4145/0/4145a262",
"title": "Evaluation of Quality-of-Service Support in MultiProtocol Label Switching",
"doi": null,
"abstractUrl": "/proceedings-article/icsnc/2010/4145a262/12OmNyQYt76",
"parentPublication": {
"id": "proceedings/icsnc/2010/4145/0",
"title": "Systems and Networks Communication, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnc/2018/3652/0/08390375",
"title": "PVFlow: Flow-Table Virtualization in POF-based vSDN Hypervisor (PVX)",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2018/08390375/12OmNyRxFra",
"parentPublication": {
"id": "proceedings/icnc/2018/3652/0",
"title": "2018 International Conference on Computing, Networking and Communications (ICNC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2006/03/01642733",
"title": "Avoiding instability during graceful shutdown of multiple OSPF routers",
"doi": null,
"abstractUrl": "/journal/nt/2006/03/01642733/13rRUEgaryb",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2001/06/00974524",
"title": "Routing with a clue",
"doi": null,
"abstractUrl": "/journal/nt/2001/06/00974524/13rRUxlgxLv",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2007/05/04346538",
"title": "Achieving sub-50 milliseconds recovery upon BGP peering link failures",
"doi": null,
"abstractUrl": "/journal/nt/2007/05/04346538/13rRUy0qnDb",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-smartcity-dss/2019/2058/0/205800c013",
"title": "Fast Recovery for Single Link Failure with Segment Routing in SDNs",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-smartcity-dss/2019/205800c013/1dPofNVkhtC",
"parentPublication": {
"id": "proceedings/hpcc-smartcity-dss/2019/2058/0",
"title": "2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nas/2021/7744/0/09605412",
"title": "Egress Engineering over BGP Label Unicast in MPLS-based Networks",
"doi": null,
"abstractUrl": "/proceedings-article/nas/2021/09605412/1yJYbRldqHC",
"parentPublication": {
"id": "proceedings/nas/2021/7744/0",
"title": "2021 IEEE International Conference on Networking, Architecture and Storage (NAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "04389812",
"articleId": "13rRUxASuPM",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04403232",
"articleId": "13rRUygBwbx",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwCJOFT",
"title": "Aug.",
"year": "2006",
"issueNum": "04",
"idPrefix": "nt",
"pubType": "journal",
"volume": "14",
"label": "Aug.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUx0gex5",
"doi": "10.1109/TNET.2006.880179",
"abstract": "A recent trend in routing research is to avoid inefficiencies in network-level routing by allowing hosts to either choose routes themselves (e.g., source routing) or use overlay routing networks (e.g., Detour or RON). Such approaches result in selfish routing, because routing decisions are no longer based on system-wide criteria but are instead designed to optimize host-based or overlay-based metrics. A series of theoretical results showing that selfish routing can result in suboptimal system behavior have cast doubts on this approach. In this paper, we use a game-theoretic approach to investigate the performance of selfish routing in Internet-like environments based on realistic topologies and traffic demands in our simulations. We show that in contrast to theoretical worst cases, selfish routing achieves close to optimal average latency in such environments. However, such performance benefits come at the expense of significantly increased congestion on certain links. Moreover, the adaptive nature of selfish overlays can significantly reduce the effectiveness of traffic engineering by making network traffic less predictable",
"abstracts": [
{
"abstractType": "Regular",
"content": "A recent trend in routing research is to avoid inefficiencies in network-level routing by allowing hosts to either choose routes themselves (e.g., source routing) or use overlay routing networks (e.g., Detour or RON). Such approaches result in selfish routing, because routing decisions are no longer based on system-wide criteria but are instead designed to optimize host-based or overlay-based metrics. A series of theoretical results showing that selfish routing can result in suboptimal system behavior have cast doubts on this approach. In this paper, we use a game-theoretic approach to investigate the performance of selfish routing in Internet-like environments based on realistic topologies and traffic demands in our simulations. We show that in contrast to theoretical worst cases, selfish routing achieves close to optimal average latency in such environments. However, such performance benefits come at the expense of significantly increased congestion on certain links. Moreover, the adaptive nature of selfish overlays can significantly reduce the effectiveness of traffic engineering by making network traffic less predictable",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "A recent trend in routing research is to avoid inefficiencies in network-level routing by allowing hosts to either choose routes themselves (e.g., source routing) or use overlay routing networks (e.g., Detour or RON). Such approaches result in selfish routing, because routing decisions are no longer based on system-wide criteria but are instead designed to optimize host-based or overlay-based metrics. A series of theoretical results showing that selfish routing can result in suboptimal system behavior have cast doubts on this approach. In this paper, we use a game-theoretic approach to investigate the performance of selfish routing in Internet-like environments based on realistic topologies and traffic demands in our simulations. We show that in contrast to theoretical worst cases, selfish routing achieves close to optimal average latency in such environments. However, such performance benefits come at the expense of significantly increased congestion on certain links. Moreover, the adaptive nature of selfish overlays can significantly reduce the effectiveness of traffic engineering by making network traffic less predictable",
"title": "On selfish routing in Internet-like environments",
"normalizedTitle": "On selfish routing in Internet-like environments",
"fno": "01677594",
"hasPdf": true,
"idPrefix": "nt",
"keywords": [
"Game Theory",
"Internet",
"Telecommunication Network Routing",
"Telecommunication Network Topology",
"Telecommunication Traffic",
"Selfish Routing",
"Internet Like Environments",
"Network Level Routing",
"Source Routing",
"Overlay Routing Networks",
"Detour",
"RON",
"Host Based Metrics",
"Overlay Based Metrics",
"Suboptimal System Behavior",
"Game Theoretic Approach",
"Realistic Topologies",
"Traffic Demands",
"Optimal Average Latency",
"Selfish Overlays",
"Network Traffic",
"Internet",
"Telecommunication Traffic",
"Delay",
"Network Topology",
"Traffic Control",
"Relays",
"Computer Science",
"IP Networks",
"Routing Protocols",
"Intelligent Networks",
"Game Theory",
"Optimization",
"Overlay",
"Relaxation",
"Selfish Routing",
"Traffic Engineering",
"Traffic Equilibrium"
],
"authors": [
{
"givenName": null,
"surname": "Lili Qiu",
"fullName": "Lili Qiu",
"affiliation": "Dept. of Comput. Sci., Texas Univ., Austin, TX, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Yang Richard Yang",
"fullName": "Yang Richard Yang",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Yin Zhang",
"fullName": "Yin Zhang",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "S.",
"surname": "Shenker",
"fullName": "S. Shenker",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2006-07-01 00:00:00",
"pubType": "trans",
"pages": "725-738",
"year": "2006",
"issn": "1063-6692",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/saso/2007/2906/0/29060340",
"title": "Self-optimizing Peer-to-Peer Networks with Selfish Processes",
"doi": null,
"abstractUrl": "/proceedings-article/saso/2007/29060340/12OmNAKM01p",
"parentPublication": {
"id": "proceedings/saso/2007/2906/0",
"title": "First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icetet/2010/4246/0/4246a308",
"title": "Finagling Congestion in Selfish Overlay Routing by Belittling Link Utilization",
"doi": null,
"abstractUrl": "/proceedings-article/icetet/2010/4246a308/12OmNviHKb1",
"parentPublication": {
"id": "proceedings/icetet/2010/4246/0",
"title": "Emerging Trends in Engineering & Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/infcom/2002/7476/3/01019370",
"title": "Routing in overlay multicast networks",
"doi": null,
"abstractUrl": "/proceedings-article/infcom/2002/01019370/12OmNvnwVnS",
"parentPublication": {
"id": "proceedings/infcom/2002/7476/3",
"title": "Proceedings of IEEE Information Communications Conference (INFOCOM 2002)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/infcom/2001/7016/1/00916782",
"title": "Internet traffic engineering without full mesh overlaying",
"doi": null,
"abstractUrl": "/proceedings-article/infcom/2001/00916782/12OmNwbcJ67",
"parentPublication": {
"id": "proceedings/infcom/2001/7016/1",
"title": "Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/2000/0850/0/08500093",
"title": "How bad is selfish routing?",
"doi": null,
"abstractUrl": "/proceedings-article/focs/2000/08500093/12OmNxFJXLT",
"parentPublication": {
"id": "proceedings/focs/2000/0850/0",
"title": "Proceedings 41st Annual Symposium on Foundations of Computer Science",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iscc/2015/7194/0/07405494",
"title": "Performance of two-hop routing in delay tolerant networks with selfish nodes",
"doi": null,
"abstractUrl": "/proceedings-article/iscc/2015/07405494/12OmNyS6RHO",
"parentPublication": {
"id": "proceedings/iscc/2015/7194/0",
"title": "2015 IEEE Symposium on Computers and Communication (ISCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icis/2008/3131/0/3131a695",
"title": "Robust Routing",
"doi": null,
"abstractUrl": "/proceedings-article/icis/2008/3131a695/12OmNyUnEDH",
"parentPublication": {
"id": "proceedings/icis/2008/3131/0",
"title": "2008 7th IEEE/ACIS International Conference on Computer and Information Science (ICIS '08)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ic/2006/03/w3024",
"title": "Increasing QoS in Selfish Overlay Networks",
"doi": null,
"abstractUrl": "/magazine/ic/2006/03/w3024/13rRUwInvOW",
"parentPublication": {
"id": "mags/ic",
"title": "IEEE Internet Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2009/06/05210128",
"title": "Resolving cross-layer conflict between overlay routing and traffic engineering",
"doi": null,
"abstractUrl": "/journal/nt/2009/06/05210128/13rRUwInvPA",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2008/01/04415520",
"title": "Race conditions in coexisting overlay networks",
"doi": null,
"abstractUrl": "/journal/nt/2008/01/04415520/13rRUwbs2dI",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "01677593",
"articleId": "13rRUyYBldP",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01677595",
"articleId": "13rRUxlgxQr",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzZ5oo1",
"title": "April",
"year": "2009",
"issueNum": "02",
"idPrefix": "nt",
"pubType": "journal",
"volume": "17",
"label": "April",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxjQyed",
"doi": "10.1109/TNET.2008.926507",
"abstract": "As the Internet takes an increasingly central role in our communications infrastructure, the slow convergence of routing protocols after a network failure becomes a growing problem. To assure fast recovery from link and node failures in IP networks, we present a new recovery scheme called Multiple Routing Configurations (MRC). Our proposed scheme guarantees recovery in all single failure scenarios, using a single mechanism to handle both link and node failures, and without knowing the root cause of the failure. MRC is strictly connectionless, and assumes only destination based hop-by-hop forwarding. MRC is based on keeping additional routing information in the routers, and allows packet forwarding to continue on an alternative output link immediately after the detection of a failure. It can be implemented with only minor changes to existing solutions. In this paper we present MRC, and analyze its performance with respect to scalability, backup path lengths, and load distribution after a failure. We also show how an estimate of the traffic demands in the network can be used to improve the distribution of the recovered traffic, and thus reduce the chances of congestion when MRC is used.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As the Internet takes an increasingly central role in our communications infrastructure, the slow convergence of routing protocols after a network failure becomes a growing problem. To assure fast recovery from link and node failures in IP networks, we present a new recovery scheme called Multiple Routing Configurations (MRC). Our proposed scheme guarantees recovery in all single failure scenarios, using a single mechanism to handle both link and node failures, and without knowing the root cause of the failure. MRC is strictly connectionless, and assumes only destination based hop-by-hop forwarding. MRC is based on keeping additional routing information in the routers, and allows packet forwarding to continue on an alternative output link immediately after the detection of a failure. It can be implemented with only minor changes to existing solutions. In this paper we present MRC, and analyze its performance with respect to scalability, backup path lengths, and load distribution after a failure. We also show how an estimate of the traffic demands in the network can be used to improve the distribution of the recovered traffic, and thus reduce the chances of congestion when MRC is used.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As the Internet takes an increasingly central role in our communications infrastructure, the slow convergence of routing protocols after a network failure becomes a growing problem. To assure fast recovery from link and node failures in IP networks, we present a new recovery scheme called Multiple Routing Configurations (MRC). Our proposed scheme guarantees recovery in all single failure scenarios, using a single mechanism to handle both link and node failures, and without knowing the root cause of the failure. MRC is strictly connectionless, and assumes only destination based hop-by-hop forwarding. MRC is based on keeping additional routing information in the routers, and allows packet forwarding to continue on an alternative output link immediately after the detection of a failure. It can be implemented with only minor changes to existing solutions. In this paper we present MRC, and analyze its performance with respect to scalability, backup path lengths, and load distribution after a failure. We also show how an estimate of the traffic demands in the network can be used to improve the distribution of the recovered traffic, and thus reduce the chances of congestion when MRC is used.",
"title": "Multiple routing configurations for fast IP network recovery",
"normalizedTitle": "Multiple routing configurations for fast IP network recovery",
"fno": "04579279",
"hasPdf": true,
"idPrefix": "nt",
"keywords": [
"Computer Network Reliability",
"Internet",
"IP Networks",
"Routing Protocols",
"Telecommunication Traffic",
"Multiple Routing Configuration",
"MRC",
"Fast IP Network Recovery",
"Internet",
"Routing Protocol",
"Network Failure",
"Load Distribution",
"Traffic Demand Estimation",
"Computer Network Reliability",
"IP Networks",
"Convergence",
"Laboratories",
"Routing Protocols",
"Telecommunication Traffic",
"Computer Network Reliability",
"Communication System Traffic",
"Protection",
"Internet",
"Failure Analysis",
"Availability",
"Computer Network Reliability",
"Communication System Fault Tolerance",
"Communication System Routing",
"Protection"
],
"authors": [
{
"givenName": "Amund",
"surname": "Kvalbein",
"fullName": "Amund Kvalbein",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Audun Fosselie",
"surname": "Hansen",
"fullName": "Audun Fosselie Hansen",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Tarik",
"surname": "Cicic",
"fullName": "Tarik Cicic",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Stein",
"surname": "Gjessing",
"fullName": "Stein Gjessing",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Olav",
"surname": "Lysne",
"fullName": "Olav Lysne",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2009-03-01 00:00:00",
"pubType": "trans",
"pages": "473-486",
"year": "2009",
"issn": "1063-6692",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iscc/2016/0679/0/07543903",
"title": "Multi Topology Routing based IP Fast Re-Route for Software Defined Networks",
"doi": null,
"abstractUrl": "/proceedings-article/iscc/2016/07543903/12OmNAJm0qh",
"parentPublication": {
"id": "proceedings/iscc/2016/0679/0",
"title": "2016 IEEE Symposium on Computers and Communication (ISCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnp/2000/0921/0/09210116",
"title": "IP multicast fault recovery in PIM over OSPF",
"doi": null,
"abstractUrl": "/proceedings-article/icnp/2000/09210116/12OmNrGb2j5",
"parentPublication": {
"id": "proceedings/icnp/2000/0921/0",
"title": "Proceedings 2000 International Conference on Network Protocols",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iscc/2005/2373/0/23730554",
"title": "Fast Recovery from Link Failures Using Resilient Routing Layers",
"doi": null,
"abstractUrl": "/proceedings-article/iscc/2005/23730554/12OmNwdbVcD",
"parentPublication": {
"id": "proceedings/iscc/2005/2373/0",
"title": "10th IEEE Symposium on Computers and Communications (ISCC'05)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cse/2014/7981/0/7981b577",
"title": "Fast and Reliable IP Recovery for Overlay Routing in Mission Critical Message Oriented Middleware",
"doi": null,
"abstractUrl": "/proceedings-article/cse/2014/7981b577/12OmNx9WSVJ",
"parentPublication": {
"id": "proceedings/cse/2014/7981/0",
"title": "2014 IEEE 17th International Conference on Computational Science and Engineering (CSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icccnt/2013/3926/0/06726764",
"title": "Enhanced fast emergency path schema (EFEP-S) to redcue packet loss during multiple independent link failure in OSPF routing",
"doi": null,
"abstractUrl": "/proceedings-article/icccnt/2013/06726764/12OmNxX3uE0",
"parentPublication": {
"id": "proceedings/icccnt/2013/3926/0",
"title": "2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccce/2014/7635/0/7635a146",
"title": "Multiple Routing Configurations for Datacenter Disaster Recovery Applicability and Challenges",
"doi": null,
"abstractUrl": "/proceedings-article/iccce/2014/7635a146/12OmNy68EGZ",
"parentPublication": {
"id": "proceedings/iccce/2014/7635/0",
"title": "2014 International Conference on Computer & Communication Engineering (ICCCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aina/2008/3095/0/3095a675",
"title": "A Fast Rerouting Approach to Reduce Packet Loss during IP Routing Protocols Convergence",
"doi": null,
"abstractUrl": "/proceedings-article/aina/2008/3095a675/12OmNzZEAFy",
"parentPublication": {
"id": "proceedings/aina/2008/3095/0",
"title": "22nd International Conference on Advanced Information Networking and Applications (aina 2008)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdcs/2012/4685/0/4685a295",
"title": "Optimal Recovery from Large-Scale Failures in IP Networks",
"doi": null,
"abstractUrl": "/proceedings-article/icdcs/2012/4685a295/12OmNzxgHAW",
"parentPublication": {
"id": "proceedings/icdcs/2012/4685/0",
"title": "2012 IEEE 32nd International Conference on Distributed Computing Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2016/03/07163644",
"title": "IP Fast Rerouting and Disjoint Multipath Routing With Three Edge-Independent Spanning Trees",
"doi": null,
"abstractUrl": "/journal/nt/2016/03/07163644/13rRUxAAT4r",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2010/06/05524047",
"title": "Fast Recovery From Dual-Link or Single-Node Failures in IP Networks Using Tunneling",
"doi": null,
"abstractUrl": "/journal/nt/2010/06/05524047/13rRUyfbwnO",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "04579127",
"articleId": "13rRUy3gn4s",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04814866",
"articleId": "13rRUwh80zW",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxEjY3M",
"title": "Dec.",
"year": "2008",
"issueNum": "06",
"idPrefix": "nt",
"pubType": "journal",
"volume": "16",
"label": "Dec.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUy08MCh",
"doi": "10.1109/TNET.2008.919333",
"abstract": "Despite the architectural separation between intradomain and interdomain routing in the Internet, intradomain protocols do influence the path-selection process in the Border Gateway Protocol (BGP). When choosing between multiple equally-good BGP routes, a router selects the one with the closest egress point, based on the intradomain path cost. Under such hot-potato routing, an intradomain event can trigger BGP routing changes. To characterize the influence of hot-potato routing, we propose a technique for associating BGP routing changes with events visible in the intradomain protocol, and apply our algorithm to a tier-1 ISP backbone network. We show that (i) BGP updates can lag 60 seconds or more behind the intradomain event; (ii) the number of BGP path changes triggered by hot-potato routing has a nearly uniform distribution across destination prefixes; and (iii) the fraction of BGP messages triggered by intradomain changes varies significantly across time and router locations. We show that hot-potato routing changes lead to longer delays in forwarding-plane convergence, shifts in the flow of traffic to neighboring domains, extra externally-visible BGP update messages, and inaccuracies in Internet performance measurements.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Despite the architectural separation between intradomain and interdomain routing in the Internet, intradomain protocols do influence the path-selection process in the Border Gateway Protocol (BGP). When choosing between multiple equally-good BGP routes, a router selects the one with the closest egress point, based on the intradomain path cost. Under such hot-potato routing, an intradomain event can trigger BGP routing changes. To characterize the influence of hot-potato routing, we propose a technique for associating BGP routing changes with events visible in the intradomain protocol, and apply our algorithm to a tier-1 ISP backbone network. We show that (i) BGP updates can lag 60 seconds or more behind the intradomain event; (ii) the number of BGP path changes triggered by hot-potato routing has a nearly uniform distribution across destination prefixes; and (iii) the fraction of BGP messages triggered by intradomain changes varies significantly across time and router locations. We show that hot-potato routing changes lead to longer delays in forwarding-plane convergence, shifts in the flow of traffic to neighboring domains, extra externally-visible BGP update messages, and inaccuracies in Internet performance measurements.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Despite the architectural separation between intradomain and interdomain routing in the Internet, intradomain protocols do influence the path-selection process in the Border Gateway Protocol (BGP). When choosing between multiple equally-good BGP routes, a router selects the one with the closest egress point, based on the intradomain path cost. Under such hot-potato routing, an intradomain event can trigger BGP routing changes. To characterize the influence of hot-potato routing, we propose a technique for associating BGP routing changes with events visible in the intradomain protocol, and apply our algorithm to a tier-1 ISP backbone network. We show that (i) BGP updates can lag 60 seconds or more behind the intradomain event; (ii) the number of BGP path changes triggered by hot-potato routing has a nearly uniform distribution across destination prefixes; and (iii) the fraction of BGP messages triggered by intradomain changes varies significantly across time and router locations. We show that hot-potato routing changes lead to longer delays in forwarding-plane convergence, shifts in the flow of traffic to neighboring domains, extra externally-visible BGP update messages, and inaccuracies in Internet performance measurements.",
"title": "Impact of hot-potato routing changes in IP networks",
"normalizedTitle": "Impact of hot-potato routing changes in IP networks",
"fno": "04469910",
"hasPdf": true,
"idPrefix": "nt",
"keywords": [
"Internet",
"Internetworking",
"IP Networks",
"Routing Protocols",
"Telecommunication Traffic",
"IP Network Traffic",
"Hot Potato Routing Change",
"Internet",
"Intradomain Protocol",
"Path Selection Process",
"Border Gateway Protocol",
"Tier 1 ISP Backbone Network",
"Uniform Distribution",
"Forwarding Plane Convergence",
"Interdomain Routing",
"IP Networks",
"Routing Protocols",
"Internet",
"Costs",
"Spine",
"Delay",
"Convergence",
"Measurement",
"Telecommunication Traffic",
"Computer Networks"
],
"authors": [
{
"givenName": "Renata",
"surname": "Teixeira",
"fullName": "Renata Teixeira",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Aman",
"surname": "Shaikh",
"fullName": "Aman Shaikh",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Timothy G.",
"surname": "Griffin",
"fullName": "Timothy G. Griffin",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jennifer",
"surname": "Rexford",
"fullName": "Jennifer Rexford",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2008-11-01 00:00:00",
"pubType": "trans",
"pages": "1295-1307",
"year": "2008",
"issn": "1063-6692",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/istcs/1993/3630/0/00253469",
"title": "Hot-potato worm routing is almost as easy as store-and-forward packet routing",
"doi": null,
"abstractUrl": "/proceedings-article/istcs/1993/00253469/12OmNBQC8el",
"parentPublication": {
"id": "proceedings/istcs/1993/3630/0",
"title": "The 2nd Israel Symposium on Theory and Computing Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ispan/2000/0936/0/09360178",
"title": "Greedy Dynamic Hot-Potato Routing on Arrays",
"doi": null,
"abstractUrl": "/proceedings-article/ispan/2000/09360178/12OmNC8Msxf",
"parentPublication": {
"id": "proceedings/ispan/2000/0936/0",
"title": "Parallel Architectures, Algorithms, and Networks, International Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/infocom/1995/6990/2/69900579",
"title": "Scheduled hot-potato routing",
"doi": null,
"abstractUrl": "/proceedings-article/infocom/1995/69900579/12OmNCeK2ar",
"parentPublication": {
"id": "proceedings/infocom/1995/6990/1",
"title": "IEEE Computer and Communications Societies, Annual Joint Conference of the",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/istcs/1995/6915/0/69150020",
"title": "Randomized single-target hot-potato routing",
"doi": null,
"abstractUrl": "/proceedings-article/istcs/1995/69150020/12OmNvwkumk",
"parentPublication": {
"id": "proceedings/istcs/1995/6915/0",
"title": "Theory of Computing Systems, Israel Symposium on the",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icppw/2001/1260/0/12600302",
"title": "Hot-Potato Routing Algorithms for Sparse Optical Torus",
"doi": null,
"abstractUrl": "/proceedings-article/icppw/2001/12600302/12OmNx0A7Gd",
"parentPublication": {
"id": "proceedings/icppw/2001/1260/0",
"title": "Proceedings International Conference on Parallel Processing Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/istcs/1995/6915/0/69150030",
"title": "Observations on hot potato routing",
"doi": null,
"abstractUrl": "/proceedings-article/istcs/1995/69150030/12OmNyNQSQ7",
"parentPublication": {
"id": "proceedings/istcs/1995/6915/0",
"title": "Theory of Computing Systems, Israel Symposium on the",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/1992/2900/0/0267796",
"title": "Exact analysis of hot-potato routing",
"doi": null,
"abstractUrl": "/proceedings-article/focs/1992/0267796/12OmNzmclRS",
"parentPublication": {
"id": "proceedings/focs/1992/2900/0",
"title": "Proceedings., 33rd Annual Symposium on Foundations of Computer Science",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/1997/06/l0587",
"title": "Deterministic Many-to-Many Hot Potato Routing",
"doi": null,
"abstractUrl": "/journal/td/1997/06/l0587/13rRUwjoNwk",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/1995/11/l1168",
"title": "Hot-Potato Algorithms for Permutation Routing",
"doi": null,
"abstractUrl": "/journal/td/1995/11/l1168/13rRUxBJhF8",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2007/04/04265610",
"title": "TIE breaking: tunable interdomain egress selection",
"doi": null,
"abstractUrl": "/journal/nt/2007/04/04265610/13rRUynpTag",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "04460574",
"articleId": "13rRUwh80zV",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04455438",
"articleId": "13rRUwbs2dJ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNAlvHDu",
"title": "Dec.",
"year": "2007",
"issueNum": "06",
"idPrefix": "nt",
"pubType": "journal",
"volume": "15",
"label": "Dec.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyYSWpy",
"doi": "10.1109/TNET.2007.896486",
"abstract": "In this paper, we consider packet networks loaded by admissible traffic patterns, i.e., by traffic patterns that, if optimally routed, do not overload network resources. We prove that simple distributed dynamic routing and scheduling algorithms based upon link state information can achieve the same network throughput as optimal centralized routing and scheduling algorithms with complete traffic information. Our proofs apply the stochastic Lyapunov function methodology to a flow-level abstract model of the network, and consider elastic traffic, i.e., we assume that flows can adapt their transmission rates to network conditions, thus resembling traffic engineering and quality-of-service approaches being currently proposed for IP networks. Although the paper mainly brings a theoretical contribution, such dynamic routing and scheduling algorithms can be implemented in a distributed way. Moreover we prove that maximum throughput is achieved also in case of temporary mismatches between the actual links state and the link state information used by the routing algorithm. This is a particularly relevant aspect, since any distributed implementation of a routing algorithm requires a periodic exchange of link state information among nodes, and this implies delays, and thus time periods in which the current link costs are not known.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper, we consider packet networks loaded by admissible traffic patterns, i.e., by traffic patterns that, if optimally routed, do not overload network resources. We prove that simple distributed dynamic routing and scheduling algorithms based upon link state information can achieve the same network throughput as optimal centralized routing and scheduling algorithms with complete traffic information. Our proofs apply the stochastic Lyapunov function methodology to a flow-level abstract model of the network, and consider elastic traffic, i.e., we assume that flows can adapt their transmission rates to network conditions, thus resembling traffic engineering and quality-of-service approaches being currently proposed for IP networks. Although the paper mainly brings a theoretical contribution, such dynamic routing and scheduling algorithms can be implemented in a distributed way. Moreover we prove that maximum throughput is achieved also in case of temporary mismatches between the actual links state and the link state information used by the routing algorithm. This is a particularly relevant aspect, since any distributed implementation of a routing algorithm requires a periodic exchange of link state information among nodes, and this implies delays, and thus time periods in which the current link costs are not known.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper, we consider packet networks loaded by admissible traffic patterns, i.e., by traffic patterns that, if optimally routed, do not overload network resources. We prove that simple distributed dynamic routing and scheduling algorithms based upon link state information can achieve the same network throughput as optimal centralized routing and scheduling algorithms with complete traffic information. Our proofs apply the stochastic Lyapunov function methodology to a flow-level abstract model of the network, and consider elastic traffic, i.e., we assume that flows can adapt their transmission rates to network conditions, thus resembling traffic engineering and quality-of-service approaches being currently proposed for IP networks. Although the paper mainly brings a theoretical contribution, such dynamic routing and scheduling algorithms can be implemented in a distributed way. Moreover we prove that maximum throughput is achieved also in case of temporary mismatches between the actual links state and the link state information used by the routing algorithm. This is a particularly relevant aspect, since any distributed implementation of a routing algorithm requires a periodic exchange of link state information among nodes, and this implies delays, and thus time periods in which the current link costs are not known.",
"title": "Optimal scheduling and routing for maximum network throughput",
"normalizedTitle": "Optimal scheduling and routing for maximum network throughput",
"fno": "04359149",
"hasPdf": true,
"idPrefix": "nt",
"keywords": [
"Distributed Algorithms",
"Internet",
"IP Networks",
"Lyapunov Methods",
"Optimal Control",
"Quality Of Service",
"Scheduling",
"Stochastic Processes",
"Telecommunication Congestion Control",
"Telecommunication Network Routing",
"Telecommunication Traffic",
"Optimal Scheduling Algorithms",
"Maximum Network Throughput",
"Packet Networks",
"Admissible Traffic Patterns",
"Distributed Dynamic Routing Algorithm",
"Optimal Centralized Routing",
"Stochastic Lyapunov Function Method",
"Flow Level Abstract Model",
"Quality Of Service",
"IP Networks",
"Internet Traffic",
"Optimal Scheduling",
"Routing",
"Throughput",
"Telecommunication Traffic",
"Scheduling Algorithm",
"Traffic Control",
"Stochastic Processes",
"Lyapunov Method",
"Quality Of Service",
"IP Networks",
"Asymptotic Stability",
"Computer Network Performance",
"Lyapunov Methods",
"Asymptotic Stability",
"Computer Network Performance",
"Lyapunov Methods"
],
"authors": [
{
"givenName": "Emilio",
"surname": "Leonardi",
"fullName": "Emilio Leonardi",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Marco",
"surname": "Mellia",
"fullName": "Marco Mellia",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Marco Ajmone",
"surname": "Marsan",
"fullName": "Marco Ajmone Marsan",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Fabio",
"surname": "Neri",
"fullName": "Fabio Neri",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2007-11-01 00:00:00",
"pubType": "trans",
"pages": "1541-1554",
"year": "2007",
"issn": "1063-6692",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/mascot/1994/5292/0/00284442",
"title": "On the interaction between gateway scheduling and routing",
"doi": null,
"abstractUrl": "/proceedings-article/mascot/1994/00284442/12OmNBpEeTE",
"parentPublication": {
"id": "proceedings/mascot/1994/5292/0",
"title": "Proceedings of International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/milcom/2002/7625/1/01180419",
"title": "A CNN model for ATM cells scheduling in MIN switches",
"doi": null,
"abstractUrl": "/proceedings-article/milcom/2002/01180419/12OmNwoghck",
"parentPublication": {
"id": "proceedings/milcom/2002/7625/2",
"title": "Military Communications Conference (MILCOM 2002)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cns/1988/0835/0/00005007",
"title": "Optimal routing in a network with unreliable links",
"doi": null,
"abstractUrl": "/proceedings-article/cns/1988/00005007/12OmNx4yvDl",
"parentPublication": {
"id": "proceedings/cns/1988/0835/0",
"title": "1988 Computer Networking Symposium",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/infcom/2003/7752/1/01208720",
"title": "Optimal routing, link scheduling and power control in multihop wireless networks",
"doi": null,
"abstractUrl": "/proceedings-article/infcom/2003/01208720/12OmNxd4ttY",
"parentPublication": {
"id": "proceedings/infcom/2003/7752/1",
"title": "IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sahcnw/2008/2562/0/04567135",
"title": "Throughput Optimal Control for Relay-Assisted Wireless Broadcast with Network Coding",
"doi": null,
"abstractUrl": "/proceedings-article/sahcnw/2008/04567135/12OmNxwncHA",
"parentPublication": {
"id": "proceedings/sahcnw/2008/2562/0",
"title": "2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2010/05/05453034",
"title": "On Optimal Scheduling Algorithms for Small Generalized Switches",
"doi": null,
"abstractUrl": "/journal/nt/2010/05/05453034/13rRUx0xPRf",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tm/2009/12/ttm2009121705",
"title": "Robust Routing and Scheduling in Wireless Mesh Networks under Dynamic Traffic Conditions",
"doi": null,
"abstractUrl": "/journal/tm/2009/12/ttm2009121705/13rRUxAASTL",
"parentPublication": {
"id": "trans/tm",
"title": "IEEE Transactions on Mobile Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2003/03/01208306",
"title": "Multicast traffic in input-queued switches: optimal scheduling and maximum throughput",
"doi": null,
"abstractUrl": "/journal/nt/2003/03/01208306/13rRUxBJhk2",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/msn/2021/0668/0/066800a806",
"title": "Reliable Routing and Scheduling in Time-Sensitive Networks",
"doi": null,
"abstractUrl": "/proceedings-article/msn/2021/066800a806/1CxzvSrzniM",
"parentPublication": {
"id": "proceedings/msn/2021/0668/0",
"title": "2021 17th International Conference on Mobility, Sensing and Networking (MSN)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/2019/05/08798890",
"title": "Joint Online Coflow Routing and Scheduling in Data Center Networks",
"doi": null,
"abstractUrl": "/journal/nt/2019/05/08798890/1cumMlN3AcM",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "04403233",
"articleId": "13rRUy3gn4r",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04392468",
"articleId": "13rRUx0xPk8",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBOUxmG",
"title": "Aug.",
"year": "1999",
"issueNum": "04",
"idPrefix": "nt",
"pubType": "journal",
"volume": "7",
"label": "Aug.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUygBwbq",
"doi": "10.1109/90.793032",
"abstract": "Because the Internet traffic, that will be the major traffic of broadband integrated services digital networks, is bursty when cells are being switched within the multistage switching network, it has a higher possibility that multiple cells arriving simultaneously at a switching element through different incoming links may have to be forwarded along the same outgoing link. We propose a high-performance large-scale ATM switch dealing with such link contention problem. It is a new unbuffered augmented Banyan network using fully adaptive self-routing control: the deflection self-routing Banyan network. To utilize all the links of the network as alternate paths, we employ the deflection-routing algorithm in each switching element, such that cells failing to get selected for the intended link are sent along different links, in the hope that they later return, or detour the contended link and continue their journey to the destination. Cells are never dropped within the switching network, whereas the switch has no multiple cell buffers. The proposed routing is as simple as that of the generic Banyan network, and all the switch elements (SEs) have a uniform structure. To design the proposed network and its self-routing, we use the topological properties that all the SEs of the Banyan network are arranged in a regular pattern topologically. We formulate and prove these properties through an algebraic formalism. We also ran a performance analysis to provide quantitative comparison against the Banyan network and the replicated Banyan networks. As a result, we show that the new network has a far better performance and scalability than the other networks.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Because the Internet traffic, that will be the major traffic of broadband integrated services digital networks, is bursty when cells are being switched within the multistage switching network, it has a higher possibility that multiple cells arriving simultaneously at a switching element through different incoming links may have to be forwarded along the same outgoing link. We propose a high-performance large-scale ATM switch dealing with such link contention problem. It is a new unbuffered augmented Banyan network using fully adaptive self-routing control: the deflection self-routing Banyan network. To utilize all the links of the network as alternate paths, we employ the deflection-routing algorithm in each switching element, such that cells failing to get selected for the intended link are sent along different links, in the hope that they later return, or detour the contended link and continue their journey to the destination. Cells are never dropped within the switching network, whereas the switch has no multiple cell buffers. The proposed routing is as simple as that of the generic Banyan network, and all the switch elements (SEs) have a uniform structure. To design the proposed network and its self-routing, we use the topological properties that all the SEs of the Banyan network are arranged in a regular pattern topologically. We formulate and prove these properties through an algebraic formalism. We also ran a performance analysis to provide quantitative comparison against the Banyan network and the replicated Banyan networks. As a result, we show that the new network has a far better performance and scalability than the other networks.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Because the Internet traffic, that will be the major traffic of broadband integrated services digital networks, is bursty when cells are being switched within the multistage switching network, it has a higher possibility that multiple cells arriving simultaneously at a switching element through different incoming links may have to be forwarded along the same outgoing link. We propose a high-performance large-scale ATM switch dealing with such link contention problem. It is a new unbuffered augmented Banyan network using fully adaptive self-routing control: the deflection self-routing Banyan network. To utilize all the links of the network as alternate paths, we employ the deflection-routing algorithm in each switching element, such that cells failing to get selected for the intended link are sent along different links, in the hope that they later return, or detour the contended link and continue their journey to the destination. Cells are never dropped within the switching network, whereas the switch has no multiple cell buffers. The proposed routing is as simple as that of the generic Banyan network, and all the switch elements (SEs) have a uniform structure. To design the proposed network and its self-routing, we use the topological properties that all the SEs of the Banyan network are arranged in a regular pattern topologically. We formulate and prove these properties through an algebraic formalism. We also ran a performance analysis to provide quantitative comparison against the Banyan network and the replicated Banyan networks. As a result, we show that the new network has a far better performance and scalability than the other networks.",
"title": "The deflection self-routing Banyan network: A large-scale ATM switch using the fully adaptive self-routing and its performance analyses",
"normalizedTitle": "The deflection self-routing Banyan network: A large-scale ATM switch using the fully adaptive self-routing and its performance analyses",
"fno": "00793032",
"hasPdf": true,
"idPrefix": "nt",
"keywords": [
"Asynchronous Transfer Mode",
"Adaptive Systems",
"Large Scale Systems",
"ISDN",
"Telecommunication Traffic",
"Internet",
"Telecommunication Network Routing",
"Multistage Interconnection Networks",
"Network Topology",
"Deflection Self Routing Banyan Network",
"Link Contention",
"Adaptive Self Routing",
"B ISDN",
"Internet Traffic",
"Broadband Integrated Services Digital Networks",
"Multistage Switching Network",
"High Performance Large Scale ATM Switch",
"Switching Element",
"Generic Banyan Network",
"Switch Elements",
"Topological Properties",
"Algebraic Formalism",
"Performance Analysis",
"Network Scalability",
"Network Performance",
"Replicated Banyan Networks",
"Large Scale Systems",
"Switches",
"Asynchronous Transfer Mode",
"Telecommunication Traffic",
"IP Networks",
"Web And Internet Services",
"B ISDN",
"Adaptive Systems",
"Programmable Control",
"Adaptive Control"
],
"authors": [
{
"givenName": null,
"surname": "Jae-Hyun Park",
"fullName": "Jae-Hyun Park",
"affiliation": "Lab. of Syst. Archit., Samsung Electron. Co., Sungnam, South Korea",
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Hyunsoo Yoon",
"fullName": "Hyunsoo Yoon",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": null,
"surname": "Heung-Kyu Lee",
"fullName": "Heung-Kyu Lee",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "1999-07-01 00:00:00",
"pubType": "trans",
"pages": "588-604",
"year": "1999",
"issn": "1063-6692",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "00793030",
"articleId": "13rRUB7a1cI",
"__typename": "AdjacentArticleType"
},
"next": null,
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvGPE8n",
"title": "Jan.",
"year": "2016",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "22",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUx0gefm",
"doi": "10.1109/TVCG.2015.2467553",
"abstract": "Multivariate time series data can be found in many application domains. Examples include data from computer networks, healthcare, social networks, or financial markets. Often, patterns in such data evolve over time among multiple dimensions and are hard to detect. Dimensionality reduction methods such as PCA and MDS allow analysis and visualization of multivariate data, but per se do not provide means to explore multivariate patterns over time. We propose Temporal Multidimensional Scaling (TMDS), a novel visualization technique that computes temporal one-dimensional MDS plots for multivariate data which evolve over time. Using a sliding window approach, MDS is computed for each data window separately, and the results are plotted sequentially along the time axis, taking care of plot alignment. Our TMDS plots enable visual identification of patterns based on multidimensional similarity of the data evolving over time. We demonstrate the usefulness of our approach in the field of network security and show in two case studies how users can iteratively explore the data to identify previously unknown, temporally evolving patterns.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Multivariate time series data can be found in many application domains. Examples include data from computer networks, healthcare, social networks, or financial markets. Often, patterns in such data evolve over time among multiple dimensions and are hard to detect. Dimensionality reduction methods such as PCA and MDS allow analysis and visualization of multivariate data, but per se do not provide means to explore multivariate patterns over time. We propose Temporal Multidimensional Scaling (TMDS), a novel visualization technique that computes temporal one-dimensional MDS plots for multivariate data which evolve over time. Using a sliding window approach, MDS is computed for each data window separately, and the results are plotted sequentially along the time axis, taking care of plot alignment. Our TMDS plots enable visual identification of patterns based on multidimensional similarity of the data evolving over time. We demonstrate the usefulness of our approach in the field of network security and show in two case studies how users can iteratively explore the data to identify previously unknown, temporally evolving patterns.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Multivariate time series data can be found in many application domains. Examples include data from computer networks, healthcare, social networks, or financial markets. Often, patterns in such data evolve over time among multiple dimensions and are hard to detect. Dimensionality reduction methods such as PCA and MDS allow analysis and visualization of multivariate data, but per se do not provide means to explore multivariate patterns over time. We propose Temporal Multidimensional Scaling (TMDS), a novel visualization technique that computes temporal one-dimensional MDS plots for multivariate data which evolve over time. Using a sliding window approach, MDS is computed for each data window separately, and the results are plotted sequentially along the time axis, taking care of plot alignment. Our TMDS plots enable visual identification of patterns based on multidimensional similarity of the data evolving over time. We demonstrate the usefulness of our approach in the field of network security and show in two case studies how users can iteratively explore the data to identify previously unknown, temporally evolving patterns.",
"title": "Temporal MDS Plots for Analysis of Multivariate Data",
"normalizedTitle": "Temporal MDS Plots for Analysis of Multivariate Data",
"fno": "07192673",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualization",
"Visualization",
"Correlation",
"Security",
"Communication Networks",
"Indexes",
"Layout",
"Multidimensional Scaling",
"Multivariate Data",
"Time Series",
"Data Reduction",
"Multidimensional Scaling",
"Multivariate Data",
"Time Series",
"Data Reduction"
],
"authors": [
{
"givenName": "Dominik",
"surname": "Jäckle",
"fullName": "Dominik Jäckle",
"affiliation": ", University of Konstanz, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Fabian",
"surname": "Fischer",
"fullName": "Fabian Fischer",
"affiliation": ", University of Konstanz, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Tobias",
"surname": "Schreck",
"fullName": "Tobias Schreck",
"affiliation": ", Graz University of Technology, Austria",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Daniel A.",
"surname": "Keim",
"fullName": "Daniel A. Keim",
"affiliation": ", University of Konstanz, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2016-01-01 00:00:00",
"pubType": "trans",
"pages": "141-150",
"year": "2016",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2014/4103/0/4103a183",
"title": "Parallel Box: Visually Comparable Representation for Multivariate Data Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2014/4103a183/12OmNAm4TKB",
"parentPublication": {
"id": "proceedings/iv/2014/4103/0",
"title": "2014 18th International Conference on Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2017/2686/0/08109149",
"title": "Change Frequency Heatmaps for Temporal Multivariate Phenological Data Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2017/08109149/12OmNxjjEgf",
"parentPublication": {
"id": "proceedings/e-science/2017/2686/0",
"title": "2017 IEEE 13th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ldav/2011/0155/0/06092328",
"title": "Scalable multivariate volume visualization and analysis",
"doi": null,
"abstractUrl": "/proceedings-article/ldav/2011/06092328/12OmNzxyiNw",
"parentPublication": {
"id": "proceedings/ldav/2011/0155/0",
"title": "IEEE Symposium on Large Data Analysis and Visualization (LDAV 2011)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192696",
"title": "Orientation-Enhanced Parallel Coordinate Plots",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192696/13rRUwkxc5q",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/09/06171180",
"title": "Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates",
"doi": null,
"abstractUrl": "/journal/tg/2012/09/06171180/13rRUwwJWFL",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/03/ttg2014030351",
"title": "A Structure-Based Distance Metric for High-Dimensional Space Exploration with Multidimensional Scaling",
"doi": null,
"abstractUrl": "/journal/tg/2014/03/ttg2014030351/13rRUxAAT0V",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/07/08368315",
"title": "Popup-Plots: Warping Temporal Data Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2019/07/08368315/13rRUxASupE",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010060980",
"title": "Matching Visual Saliency to Confidence in Plots of Uncertain Data",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010060980/13rRUxZRbnY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vissoft/2018/8292/0/829200a012",
"title": "Detecting Bad Smells in Software Systems with Linked Multivariate Visualizations",
"doi": null,
"abstractUrl": "/proceedings-article/vissoft/2018/829200a012/17D45WrVg8H",
"parentPublication": {
"id": "proceedings/vissoft/2018/8292/0",
"title": "2018 IEEE Working Conference on Software Visualization (VISSOFT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2020/9134/0/913400a080",
"title": "Enhancing Scatter-plots with Start-plots for Visualising Multi-dimensional Data",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2020/913400a080/1rSR9e3cPi8",
"parentPublication": {
"id": "proceedings/iv/2020/9134/0",
"title": "2020 24th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07192671",
"articleId": "13rRUILLkDT",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07192719",
"articleId": "13rRUwfZBVo",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNBOUxmQ",
"title": "November/December",
"year": "2008",
"issueNum": "06",
"idPrefix": "tg",
"pubType": "journal",
"volume": "14",
"label": "November/December",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxjQyvd",
"doi": "10.1109/TVCG.2008.184",
"abstract": "Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research. First, there are few proven methods to flexibly and concisely define general temporal patterns for visualization. Second, with large time-dependent data sets, as typical with today’s large-scale simulations, scalable and general solutions for handling the data are still not widely available. In this work, we have developed a textual pattern matching approach for specifying and identifying general temporal patterns. Besides defining the formalism of the language, we also provide a working implementation with sufficient efficiency and scalability to handle large data sets. Using recent large-scale simulation data from multiple application domains, we demonstrate that our visualization approach is one of the first to empower a concept driven exploration of large-scale time-varying multivariate data.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research. First, there are few proven methods to flexibly and concisely define general temporal patterns for visualization. Second, with large time-dependent data sets, as typical with today’s large-scale simulations, scalable and general solutions for handling the data are still not widely available. In this work, we have developed a textual pattern matching approach for specifying and identifying general temporal patterns. Besides defining the formalism of the language, we also provide a working implementation with sufficient efficiency and scalability to handle large data sets. Using recent large-scale simulation data from multiple application domains, we demonstrate that our visualization approach is one of the first to empower a concept driven exploration of large-scale time-varying multivariate data.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research. First, there are few proven methods to flexibly and concisely define general temporal patterns for visualization. Second, with large time-dependent data sets, as typical with today’s large-scale simulations, scalable and general solutions for handling the data are still not widely available. In this work, we have developed a textual pattern matching approach for specifying and identifying general temporal patterns. Besides defining the formalism of the language, we also provide a working implementation with sufficient efficiency and scalability to handle large data sets. Using recent large-scale simulation data from multiple application domains, we demonstrate that our visualization approach is one of the first to empower a concept driven exploration of large-scale time-varying multivariate data.",
"title": "Visualizing Temporal Patterns in Large Multivariate Data using Modified Globbing",
"normalizedTitle": "Visualizing Temporal Patterns in Large Multivariate Data using Modified Globbing",
"fno": "ttg2008061467",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Index Terms Multivariate Visualization",
"Time Varying",
"Uncertainty"
],
"authors": [
{
"givenName": "Markus",
"surname": "Glatter",
"fullName": "Markus Glatter",
"affiliation": "The University of Tennessee at Knoxville",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jian",
"surname": "Huang",
"fullName": "Jian Huang",
"affiliation": "The University of Tennessee at Knoxville",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Sean",
"surname": "Ahern",
"fullName": "Sean Ahern",
"affiliation": "Oak Ridge National Laboratory",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jamison",
"surname": "Daniel",
"fullName": "Jamison Daniel",
"affiliation": "Oak Ridge National Laboratory",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Aidong",
"surname": "Lu",
"fullName": "Aidong Lu",
"affiliation": "University of North Carolina at Charlotte",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2008-11-01 00:00:00",
"pubType": "trans",
"pages": "1467-1474",
"year": "2008",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/cgiv/2014/5720/0/5720a001",
"title": "ChronoView: A Space-Efficient Method for Visualizing Temporal Patterns",
"doi": null,
"abstractUrl": "/proceedings-article/cgiv/2014/5720a001/12OmNA1DMjs",
"parentPublication": {
"id": "proceedings/cgiv/2014/5720/0",
"title": "2014 11th International Conference on Computer Graphics, Imaging and Visualization (CGIV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2010/4257/0/4257a025",
"title": "PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2010/4257a025/12OmNvTTc7b",
"parentPublication": {
"id": "proceedings/icdmw/2010/4257/0",
"title": "2010 IEEE International Conference on Data Mining Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2006/0591/0/04035762",
"title": "A Visual Interface for Multivariate Temporal Data: Finding Patterns of Events across Multiple Histories",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2006/04035762/12OmNzG4gxc",
"parentPublication": {
"id": "proceedings/vast/2006/0591/0",
"title": "2006 IEEE Symposium On Visual Analytics Science And Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csb/2003/2000/0/20000137",
"title": "Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data",
"doi": null,
"abstractUrl": "/proceedings-article/csb/2003/20000137/12OmNzcPAwm",
"parentPublication": {
"id": "proceedings/csb/2003/2000/0",
"title": "Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1461",
"title": "A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1461/13rRUwgQpDk",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192673",
"title": "Temporal MDS Plots for Analysis of Multivariate Data",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192673/13rRUx0gefm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061547",
"title": "Importance-Driven Time-Varying Data Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061547/13rRUxC0SvO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061555",
"title": "Visualizing Multiwavelength Astrophysical Data",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061555/13rRUxYrbUy",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061459",
"title": "Brushing of Attribute Clouds for the Visualization of Multivariate Data",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061459/13rRUxly8Xz",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061356",
"title": "Visualizing Incomplete and Partially Ranked Data",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061356/13rRUyYBlgt",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2008061459",
"articleId": "13rRUxly8Xz",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2008061603",
"articleId": "13rRUygT7f6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvqEvRo",
"title": "PrePrints",
"year": "5555",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": null,
"label": "PrePrints",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1Iu2JIUXLR6",
"doi": "10.1109/TVCG.2022.3223529",
"abstract": "Multivariate or multidimensional visualization plays an essential role in exploratory data analysis by allowing users to derive insights and formulate hypotheses. Despite their popularity, it is usually users' responsibility to (visually) discover the data patterns, which can be cumbersome and time-consuming. Visual Analytics (VA) and machine learning techniques can be instrumental in mitigating this problem by automatically discovering and representing such patterns. One example is the integration of classification models with (visual) interpretability strategies, where models are used as surrogates for data patterns so that understanding a model enables understanding the phenomenon represented by the data. Although useful and inspiring, the few proposed solutions are based on visual representations of so-called black-box models, so the interpretation of the patterns captured by the models is not straightforward, requiring mechanisms to transform them into human-understandable pieces of information. This paper presents <italic>multiVariate dAta eXplanation (VAX)</italic>, a new VA method to support identifying and visual interpreting patterns in multivariate datasets. Unlike the existing similar approaches, VAX uses the concept of Jumping Emerging Patterns, inherent interpretable logic statements representing class-variable relationships (patterns) derived from random Decision Trees. The potential of VAX is shown through use cases employing two real-world datasets covering different scenarios where intricate patterns are discovered and represented, something challenging to be done using usual exploratory approaches.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Multivariate or multidimensional visualization plays an essential role in exploratory data analysis by allowing users to derive insights and formulate hypotheses. Despite their popularity, it is usually users' responsibility to (visually) discover the data patterns, which can be cumbersome and time-consuming. Visual Analytics (VA) and machine learning techniques can be instrumental in mitigating this problem by automatically discovering and representing such patterns. One example is the integration of classification models with (visual) interpretability strategies, where models are used as surrogates for data patterns so that understanding a model enables understanding the phenomenon represented by the data. Although useful and inspiring, the few proposed solutions are based on visual representations of so-called black-box models, so the interpretation of the patterns captured by the models is not straightforward, requiring mechanisms to transform them into human-understandable pieces of information. This paper presents <italic>multiVariate dAta eXplanation (VAX)</italic>, a new VA method to support identifying and visual interpreting patterns in multivariate datasets. Unlike the existing similar approaches, VAX uses the concept of Jumping Emerging Patterns, inherent interpretable logic statements representing class-variable relationships (patterns) derived from random Decision Trees. The potential of VAX is shown through use cases employing two real-world datasets covering different scenarios where intricate patterns are discovered and represented, something challenging to be done using usual exploratory approaches.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Multivariate or multidimensional visualization plays an essential role in exploratory data analysis by allowing users to derive insights and formulate hypotheses. Despite their popularity, it is usually users' responsibility to (visually) discover the data patterns, which can be cumbersome and time-consuming. Visual Analytics (VA) and machine learning techniques can be instrumental in mitigating this problem by automatically discovering and representing such patterns. One example is the integration of classification models with (visual) interpretability strategies, where models are used as surrogates for data patterns so that understanding a model enables understanding the phenomenon represented by the data. Although useful and inspiring, the few proposed solutions are based on visual representations of so-called black-box models, so the interpretation of the patterns captured by the models is not straightforward, requiring mechanisms to transform them into human-understandable pieces of information. This paper presents multiVariate dAta eXplanation (VAX), a new VA method to support identifying and visual interpreting patterns in multivariate datasets. Unlike the existing similar approaches, VAX uses the concept of Jumping Emerging Patterns, inherent interpretable logic statements representing class-variable relationships (patterns) derived from random Decision Trees. The potential of VAX is shown through use cases employing two real-world datasets covering different scenarios where intricate patterns are discovered and represented, something challenging to be done using usual exploratory approaches.",
"title": "Multivariate Data Explanation by Jumping Emerging Patterns Visualization",
"normalizedTitle": "Multivariate Data Explanation by Jumping Emerging Patterns Visualization",
"fno": "09956758",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualization",
"Data Models",
"Analytical Models",
"Layout",
"Data Mining",
"Predictive Models",
"Histograms",
"Data Explanation",
"Jumping Emerging Patterns",
"Random Decision Trees",
"Exploratory Analysis"
],
"authors": [
{
"givenName": "Mário Popolin",
"surname": "Neto",
"fullName": "Mário Popolin Neto",
"affiliation": "Federal Institute of São Paulo (IFSP), University of São Paulo (USP), Brazil",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Fernando V.",
"surname": "Paulovich",
"fullName": "Fernando V. Paulovich",
"affiliation": "Eindhoven University of Technology (TU/e), the Netherlands",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2022-11-01 00:00:00",
"pubType": "trans",
"pages": "1-16",
"year": "5555",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2007/2900/0/29000277",
"title": "Working with patterns in large multivariate datasets - Karnaugh-Veitch-Maps revisited",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2007/29000277/12OmNBSjJ0F",
"parentPublication": {
"id": "proceedings/iv/2007/2900/0",
"title": "2007 11th International Conference Information Visualization (IV '07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sibgrapi/2013/5099/0/5099a107",
"title": "Multidimensional Projections to Explore Time-Varying Multivariate Volume Data",
"doi": null,
"abstractUrl": "/proceedings-article/sibgrapi/2013/5099a107/12OmNrkT7Pm",
"parentPublication": {
"id": "proceedings/sibgrapi/2013/5099/0",
"title": "2013 XXVI Conference on Graphics, Patterns and Images",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2012/4752/0/06400536",
"title": "The spatiotemporal multivariate hypercube for discovery of patterns in event data",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400536/12OmNvnOwsG",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2017/2686/0/08109149",
"title": "Change Frequency Heatmaps for Temporal Multivariate Phenological Data Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2017/08109149/12OmNxjjEgf",
"parentPublication": {
"id": "proceedings/e-science/2017/2686/0",
"title": "2017 IEEE 13th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2006/2602/0/26020025",
"title": "\"GeoAnalytics\" - Exploring spatio-temporal and multivariate data",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2006/26020025/12OmNzd7bl4",
"parentPublication": {
"id": "proceedings/iv/2006/2602/0",
"title": "Tenth International Conference on Information Visualisation (IV'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2013/5108/0/5108a201",
"title": "Extraction of Interpretable Multivariate Patterns for Early Diagnostics",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2013/5108a201/12OmNzlD95g",
"parentPublication": {
"id": "proceedings/icdm/2013/5108/0",
"title": "2013 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1461",
"title": "A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1461/13rRUwgQpDk",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192673",
"title": "Temporal MDS Plots for Analysis of Multivariate Data",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192673/13rRUx0gefm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2008/2935/0/04677368",
"title": "Multivariate visual explanation for high dimensional datasets",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2008/04677368/1oFGMltTtFC",
"parentPublication": {
"id": "proceedings/vast/2008/2935/0",
"title": "2008 IEEE Symposium on Visual Analytics Science and Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378380",
"title": "Combining Global and Sequential Patterns for Multivariate Time Series Forecasting",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378380/1s64SdG49Hi",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09956753",
"articleId": "1Iu2J7nECo8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09961901",
"articleId": "1IxvZ4KZbri",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "1IxvYS0skbC",
"name": "ttg555501-09956758s1-supp1-3223529.pdf",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg555501-09956758s1-supp1-3223529.pdf",
"extension": "pdf",
"size": "10.4 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwFid7w",
"title": "Jan.",
"year": "2019",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "25",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "17D45WB0qbn",
"doi": "10.1109/TVCG.2018.2865025",
"abstract": "Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operation costs of VEs, the majority of visualization applications in practice have yet to benefit from the capacity of VEs. In this paper, we examine this status quo from an information-theoretic perspective. Our objectives are to conduct cost-benefit analysis on typical VE systems (including augmented and mixed reality, theater-based systems, and large powerwalls), to explain why some visualization applications benefit more from VEs than others, and to sketch out pathways for the future development of visualization applications in VEs. We support our theoretical propositions and analysis using theories and discoveries in the literature of cognitive sciences and the practical evidence reported in the literatures of visualization and VEs.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operation costs of VEs, the majority of visualization applications in practice have yet to benefit from the capacity of VEs. In this paper, we examine this status quo from an information-theoretic perspective. Our objectives are to conduct cost-benefit analysis on typical VE systems (including augmented and mixed reality, theater-based systems, and large powerwalls), to explain why some visualization applications benefit more from VEs than others, and to sketch out pathways for the future development of visualization applications in VEs. We support our theoretical propositions and analysis using theories and discoveries in the literature of cognitive sciences and the practical evidence reported in the literatures of visualization and VEs.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operation costs of VEs, the majority of visualization applications in practice have yet to benefit from the capacity of VEs. In this paper, we examine this status quo from an information-theoretic perspective. Our objectives are to conduct cost-benefit analysis on typical VE systems (including augmented and mixed reality, theater-based systems, and large powerwalls), to explain why some visualization applications benefit more from VEs than others, and to sketch out pathways for the future development of visualization applications in VEs. We support our theoretical propositions and analysis using theories and discoveries in the literature of cognitive sciences and the practical evidence reported in the literatures of visualization and VEs.",
"title": "An Information-Theoretic Approach to the Cost-benefit Analysis of Visualization in Virtual Environments",
"normalizedTitle": "An Information-Theoretic Approach to the Cost-benefit Analysis of Visualization in Virtual Environments",
"fno": "08440821",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Cost Benefit Analysis",
"Data Visualisation",
"User Interfaces",
"Virtual Reality",
"Visualization Applications",
"Cost Benefit Analysis",
"Information Theoretic Approach",
"Virtual Environments",
"Visual Computing",
"General Purpose VE",
"Data Visualization",
"Visualization",
"Virtual Environments",
"Augmented Reality",
"Guidelines",
"Measurement",
"Theory Of Visualization",
"Virtual Environments",
"Virtual Reality",
"Augmented Reality",
"Mixed Reality",
"Cost Benefit Analysis",
"Information Theory",
"Cognitive Sciences",
"Visualization Applications",
"Immersive Analytics",
"Four Levels Of Visualization"
],
"authors": [
{
"givenName": "Min",
"surname": "Chen",
"fullName": "Min Chen",
"affiliation": "University of Oxford, UK",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Kelly",
"surname": "Gaither",
"fullName": "Kelly Gaither",
"affiliation": "University of Texas, Austin, USA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Nigel W.",
"surname": "John",
"fullName": "Nigel W. John",
"affiliation": "University of Chester, UK",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Brian",
"surname": "Mccann",
"fullName": "Brian Mccann",
"affiliation": "University of Texas, Austin, USA",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2019-01-01 00:00:00",
"pubType": "trans",
"pages": "32-42",
"year": "2019",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/vr/1999/0093/0/00930096",
"title": "User-Centered Design and Evaluation of a Real-Time Battlefield Visualization Virtual Environment",
"doi": null,
"abstractUrl": "/proceedings-article/vr/1999/00930096/12OmNA2cYEt",
"parentPublication": {
"id": "proceedings/vr/1999/0093/0",
"title": "Proceedings of Virtual Reality",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csse/2008/3336/2/3336d146",
"title": "Research on 3D Visualization of Crystal Molecular Structure Based on Augmented Reality",
"doi": null,
"abstractUrl": "/proceedings-article/csse/2008/3336d146/12OmNqBKUaq",
"parentPublication": {
"id": "proceedings/csse/2008/3336/6",
"title": "Computer Science and Software Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2015/1727/0/07223347",
"title": "Validation of SplitVector encoding and stereoscopy for quantitative visualization of quantum physics data in virtual environments",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2015/07223347/12OmNqNoscN",
"parentPublication": {
"id": "proceedings/vr/2015/1727/0",
"title": "2015 IEEE Virtual Reality (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wevr/2016/0840/0/07859538",
"title": "Towards understanding the capability of spatial audio feedback in virtual environments for people with visual impairments",
"doi": null,
"abstractUrl": "/proceedings-article/wevr/2016/07859538/12OmNyL0TJW",
"parentPublication": {
"id": "proceedings/wevr/2016/0840/0",
"title": "2016 IEEE 2nd Workshop on Everyday Virtual Reality (WEVR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/02/ttg2012020332",
"title": "DVV: A Taxonomy for Mixed Reality Visualization in Image Guided Surgery",
"doi": null,
"abstractUrl": "/journal/tg/2012/02/ttg2012020332/13rRUILtJzx",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1475",
"title": "VU-Flow: A Visualization Tool for Analyzing Navigation in Virtual Environments",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1475/13rRUNvgz9B",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2022/5325/0/532500a035",
"title": "Complex Virtual Environments on Thin VR Systems Through Continuous Near-Far Partitioning",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2022/532500a035/1JrQXGDRn9K",
"parentPublication": {
"id": "proceedings/ismar/2022/5325/0",
"title": "2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-adjunct/2020/7675/0/767500a051",
"title": "Exploring Virtual Environments by Visually Impaired Using a Mixed Reality Cane Without Visual Feedback",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-adjunct/2020/767500a051/1pBMgh7AbaU",
"parentPublication": {
"id": "proceedings/ismar-adjunct/2020/7675/0",
"title": "2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2020/8508/0/850800a217",
"title": "Augmented Mirrors",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2020/850800a217/1pysxrHE5Q4",
"parentPublication": {
"id": "proceedings/ismar/2020/8508/0",
"title": "2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-adjunct/2021/1298/0/129800a367",
"title": "A Classification of Augmented Reality Approaches for Spatial Data Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-adjunct/2021/129800a367/1yeQHlFhK0w",
"parentPublication": {
"id": "proceedings/ismar-adjunct/2021/1298/0",
"title": "2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08440815",
"articleId": "17D45Wuc38F",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08440039",
"articleId": "17D45WaTknI",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvGPE8n",
"title": "Jan.",
"year": "2016",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "22",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxOdD2F",
"doi": "10.1109/TVCG.2015.2467551",
"abstract": "While the primary goal of visual analytics research is to improve the quality of insights and findings, a substantial amount of research in provenance has focused on the history of changes and advances throughout the analysis process. The term, provenance, has been used in a variety of ways to describe different types of records and histories related to visualization. The existing body of provenance research has grown to a point where the consolidation of design knowledge requires cross-referencing a variety of projects and studies spanning multiple domain areas. We present an organizational framework of the different types of provenance information and purposes for why they are desired in the field of visual analytics. Our organization is intended to serve as a framework to help researchers specify types of provenance and coordinate design knowledge across projects. We also discuss the relationships between these factors and the methods used to capture provenance information. In addition, our organization can be used to guide the selection of evaluation methodology and the comparison of study outcomes in provenance research.",
"abstracts": [
{
"abstractType": "Regular",
"content": "While the primary goal of visual analytics research is to improve the quality of insights and findings, a substantial amount of research in provenance has focused on the history of changes and advances throughout the analysis process. The term, provenance, has been used in a variety of ways to describe different types of records and histories related to visualization. The existing body of provenance research has grown to a point where the consolidation of design knowledge requires cross-referencing a variety of projects and studies spanning multiple domain areas. We present an organizational framework of the different types of provenance information and purposes for why they are desired in the field of visual analytics. Our organization is intended to serve as a framework to help researchers specify types of provenance and coordinate design knowledge across projects. We also discuss the relationships between these factors and the methods used to capture provenance information. In addition, our organization can be used to guide the selection of evaluation methodology and the comparison of study outcomes in provenance research.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "While the primary goal of visual analytics research is to improve the quality of insights and findings, a substantial amount of research in provenance has focused on the history of changes and advances throughout the analysis process. The term, provenance, has been used in a variety of ways to describe different types of records and histories related to visualization. The existing body of provenance research has grown to a point where the consolidation of design knowledge requires cross-referencing a variety of projects and studies spanning multiple domain areas. We present an organizational framework of the different types of provenance information and purposes for why they are desired in the field of visual analytics. Our organization is intended to serve as a framework to help researchers specify types of provenance and coordinate design knowledge across projects. We also discuss the relationships between these factors and the methods used to capture provenance information. In addition, our organization can be used to guide the selection of evaluation methodology and the comparison of study outcomes in provenance research.",
"title": "Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes",
"normalizedTitle": "Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes",
"fno": "07192714",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualization",
"History",
"Visual Analytics",
"Data Analysis",
"Cognition",
"Organizations",
"Conceptual Model",
"Provenance",
"Analytic Provenance",
"Visual Analytics",
"Framework",
"Visualization",
"Conceptual Model",
"Provenance",
"Analytic Provenance",
"Visual Analytics",
"Framework",
"Visualization"
],
"authors": [
{
"givenName": "Eric D.",
"surname": "Ragan",
"fullName": "Eric D. Ragan",
"affiliation": ", Texas A&M University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Alex",
"surname": "Endert",
"fullName": "Alex Endert",
"affiliation": ", Georgia Tech",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jibonananda",
"surname": "Sanyal",
"fullName": "Jibonananda Sanyal",
"affiliation": ", Oak Ridge National Laboratory",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jian",
"surname": "Chen",
"fullName": "Jian Chen",
"affiliation": ", University of Maryland, Baltimore County",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2016-01-01 00:00:00",
"pubType": "trans",
"pages": "31-40",
"year": "2016",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/icws/2017/0752/0/0752a097",
"title": "Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model",
"doi": null,
"abstractUrl": "/proceedings-article/icws/2017/0752a097/12OmNAJ4ph8",
"parentPublication": {
"id": "proceedings/icws/2017/0752/0",
"title": "2017 IEEE International Conference on Web Services (ICWS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icws/2015/7272/0/7272a089",
"title": "Climate Analytics Workflow Recommendation as a Service - Provenance-Driven Automatic Workflow Mashup",
"doi": null,
"abstractUrl": "/proceedings-article/icws/2015/7272a089/12OmNAR1aWR",
"parentPublication": {
"id": "proceedings/icws/2015/7272/0",
"title": "2015 IEEE International Conference on Web Services (ICWS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ucc/2015/5697/0/5697a577",
"title": "Towards Secure Provenance in the Cloud: A Survey",
"doi": null,
"abstractUrl": "/proceedings-article/ucc/2015/5697a577/12OmNrAMF2r",
"parentPublication": {
"id": "proceedings/ucc/2015/5697/0",
"title": "2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/skg/2014/6715/0/6715a092",
"title": "An Industrial Case Study on Provenance Awareness of Composite Services",
"doi": null,
"abstractUrl": "/proceedings-article/skg/2014/6715a092/12OmNy50gdm",
"parentPublication": {
"id": "proceedings/skg/2014/6715/0",
"title": "2014 Tenth International Conference on Semantics, Knowledge and Grids (SKG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122139",
"title": "An Extensible Framework for Provenance in Human Terrain Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122139/13rRUyfbwqH",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2019/7474/0/747400c016",
"title": "COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2019/747400c016/1aDT1HXYtP2",
"parentPublication": {
"id": "proceedings/icde/2019/7474/0",
"title": "2019 IEEE 35th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/06/08788592",
"title": "Analytic Provenance in Practice: The Role of Provenance in Real-World Visualization and Data Analysis Environments",
"doi": null,
"abstractUrl": "/magazine/cg/2019/06/08788592/1cfqCMPtgRy",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/06/08864010",
"title": "A Provenance Task Abstraction Framework",
"doi": null,
"abstractUrl": "/magazine/cg/2019/06/08864010/1e0YpvcVR7y",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trex/2021/1817/0/181700a045",
"title": "A Case Study of Using Analytic Provenance to Reconstruct User Trust in a Guided Visual Analytics System",
"doi": null,
"abstractUrl": "/proceedings-article/trex/2021/181700a045/1yQB6KjO9oI",
"parentPublication": {
"id": "proceedings/trex/2021/1817/0",
"title": "2021 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09652041",
"title": "Provectories: Embedding-based Analysis of Interaction Provenance Data",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09652041/1zmuReh8VZ6",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07194831",
"articleId": "13rRUwI5U2L",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07194834",
"articleId": "13rRUEgarnM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwFid7w",
"title": "Jan.",
"year": "2019",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "25",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "17D45W1Oa3s",
"doi": "10.1109/TVCG.2018.2865117",
"abstract": "The diverse and vibrant ecosystem of interactive visualizations on the web presents an opportunity for researchers and practitioners to observe and analyze how everyday people interact with data visualizations. However, existing metrics of visualization interaction behavior used in research do not fully reveal the breadth of peoples' open-ended explorations with visualizations. One possible way to address this challenge is to determine high-level goals for visualization interaction metrics, and infer corresponding features from user interaction data that characterize different aspects of peoples' explorations of visualizations. In this paper, we identify needs for visualization behavior measurement, and develop corresponding candidate features that can be inferred from users' interaction data. We then propose metrics that capture novel aspects of peoples' open-ended explorations, including exploration uniqueness and exploration pacing. We evaluate these metrics along with four other metrics recently proposed in visualization literature by applying them to interaction data from prior visualization studies. The results of these evaluations suggest that these new metrics 1) reveal new characteristics of peoples' use of visualizations, 2) can be used to evaluate statistical differences between visualization designs, and 3) are statistically independent of prior metrics used in visualization research. We discuss implications of these results for future studies, including the potential for applying these metrics in visualization interaction analysis, as well as emerging challenges in developing and selecting metrics depicting visualization explorations.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The diverse and vibrant ecosystem of interactive visualizations on the web presents an opportunity for researchers and practitioners to observe and analyze how everyday people interact with data visualizations. However, existing metrics of visualization interaction behavior used in research do not fully reveal the breadth of peoples' open-ended explorations with visualizations. One possible way to address this challenge is to determine high-level goals for visualization interaction metrics, and infer corresponding features from user interaction data that characterize different aspects of peoples' explorations of visualizations. In this paper, we identify needs for visualization behavior measurement, and develop corresponding candidate features that can be inferred from users' interaction data. We then propose metrics that capture novel aspects of peoples' open-ended explorations, including exploration uniqueness and exploration pacing. We evaluate these metrics along with four other metrics recently proposed in visualization literature by applying them to interaction data from prior visualization studies. The results of these evaluations suggest that these new metrics 1) reveal new characteristics of peoples' use of visualizations, 2) can be used to evaluate statistical differences between visualization designs, and 3) are statistically independent of prior metrics used in visualization research. We discuss implications of these results for future studies, including the potential for applying these metrics in visualization interaction analysis, as well as emerging challenges in developing and selecting metrics depicting visualization explorations.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The diverse and vibrant ecosystem of interactive visualizations on the web presents an opportunity for researchers and practitioners to observe and analyze how everyday people interact with data visualizations. However, existing metrics of visualization interaction behavior used in research do not fully reveal the breadth of peoples' open-ended explorations with visualizations. One possible way to address this challenge is to determine high-level goals for visualization interaction metrics, and infer corresponding features from user interaction data that characterize different aspects of peoples' explorations of visualizations. In this paper, we identify needs for visualization behavior measurement, and develop corresponding candidate features that can be inferred from users' interaction data. We then propose metrics that capture novel aspects of peoples' open-ended explorations, including exploration uniqueness and exploration pacing. We evaluate these metrics along with four other metrics recently proposed in visualization literature by applying them to interaction data from prior visualization studies. The results of these evaluations suggest that these new metrics 1) reveal new characteristics of peoples' use of visualizations, 2) can be used to evaluate statistical differences between visualization designs, and 3) are statistically independent of prior metrics used in visualization research. We discuss implications of these results for future studies, including the potential for applying these metrics in visualization interaction analysis, as well as emerging challenges in developing and selecting metrics depicting visualization explorations.",
"title": "Patterns and Pace: Quantifying Diverse Exploration Behavior with Visualizations on the Web",
"normalizedTitle": "Patterns and Pace: Quantifying Diverse Exploration Behavior with Visualizations on the Web",
"fno": "08454489",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualisation",
"Human Computer Interaction",
"Interactive Systems",
"Internet",
"Data Visualizations",
"Visualization Interaction Behavior",
"Visualization Interaction Metrics",
"User Interaction Data",
"Visualization Behavior Measurement",
"Visualization Designs",
"Visualization Interaction Analysis",
"Visualization Explorations",
"Data Visualization",
"Extraterrestrial Measurements",
"Companies",
"Visual Analytics",
"Feature Extraction",
"Interaction",
"Visualization",
"Quantitative Evaluation"
],
"authors": [
{
"givenName": "Mi",
"surname": "Feng",
"fullName": "Mi Feng",
"affiliation": "Worcester Polytechnic Institute",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Evan",
"surname": "Peck",
"fullName": "Evan Peck",
"affiliation": "Bucknell University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Lane",
"surname": "Harrison",
"fullName": "Lane Harrison",
"affiliation": "Worcester Polytechnic Institute",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2019-01-01 00:00:00",
"pubType": "trans",
"pages": "501-511",
"year": "2019",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/hicss/2013/4892/0/4892b485",
"title": "Aperture: An Open Web 2.0 Visualization Framework",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2013/4892b485/12OmNCgrD1q",
"parentPublication": {
"id": "proceedings/hicss/2013/4892/0",
"title": "2013 46th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875974",
"title": "A Five-Level Design Framework for Bicluster Visualizations",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875974/13rRUB6Sq0A",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010060943",
"title": "How Information Visualization Novices Construct Visualizations",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010060943/13rRUwInvAZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2015/04/mcg2015040082",
"title": "Design and Effects of Personal Visualizations",
"doi": null,
"abstractUrl": "/magazine/cg/2015/04/mcg2015040082/13rRUwh80Nt",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875988",
"title": "Revisiting Bertin Matrices: New Interactions for Crafting Tabular Visualizations",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875988/13rRUwh80uA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1500",
"title": "Provenance and Annotation for Visual Exploration Systems",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1500/13rRUx0xPi0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vizsec/2022/6148/0/09941422",
"title": "Analysis of the Design Space for Cybersecurity Visualizations in VizSec",
"doi": null,
"abstractUrl": "/proceedings-article/vizsec/2022/09941422/1IbQqAKwi3u",
"parentPublication": {
"id": "proceedings/vizsec/2022/6148/0",
"title": "2022 IEEE Symposium on Visualization for Cyber Security (VizSec)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a085",
"title": "Let's Get Personal: Exploring the Design of Personalized Visualizations",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a085/1J6hbZrS4dG",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a160",
"title": "Beyond Visuals: Examining the Experiences of Geoscience Professionals With Vision Disabilities in Accessing Data Visualizations",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a160/1J6hbizj1Xq",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trex/2021/1817/0/181700a027",
"title": "Time Series Model Attribution Visualizations as Explanations",
"doi": null,
"abstractUrl": "/proceedings-article/trex/2021/181700a027/1yQB55Tsbpm",
"parentPublication": {
"id": "proceedings/trex/2021/1817/0",
"title": "2021 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08454343",
"articleId": "17D45XDIXSW",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08440834",
"articleId": "17D45WHONrE",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwE9On0",
"title": "Nov.-Dec.",
"year": "2019",
"issueNum": "06",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "39",
"label": "Nov.-Dec.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1cfqCMPtgRy",
"doi": "10.1109/MCG.2019.2933419",
"abstract": "Practical data analysis scenarios involve more than just the interpretation of data through visual and algorithmic analysis. Many real-world analysis environments involve multiple types of experts and analysts working together to solve problems and make decisions, adding organizational and social requirements to the mix. We aim to provide new knowledge about the role of provenance for practical problems in a variety of analysis scenarios central to national security. We present the findings from interviews with data analysts from domains, such as intelligence analysis, cyber-security, and geospatial intelligence. In addition to covering multiple analysis domains, our study also considers practical workplace implications related to organizational roles and the level of analyst experience. The results demonstrate how different needs for provenance depend on different roles in the analysis effort (e.g., data analyst, task managers, data analyst trainers, and quality control analysts). By considering the core challenges reported along with an analysis of existing provenance-support techniques through existing research and systems, we contribute new insights about needs and opportunities for improvements to provenance-support methods.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Practical data analysis scenarios involve more than just the interpretation of data through visual and algorithmic analysis. Many real-world analysis environments involve multiple types of experts and analysts working together to solve problems and make decisions, adding organizational and social requirements to the mix. We aim to provide new knowledge about the role of provenance for practical problems in a variety of analysis scenarios central to national security. We present the findings from interviews with data analysts from domains, such as intelligence analysis, cyber-security, and geospatial intelligence. In addition to covering multiple analysis domains, our study also considers practical workplace implications related to organizational roles and the level of analyst experience. The results demonstrate how different needs for provenance depend on different roles in the analysis effort (e.g., data analyst, task managers, data analyst trainers, and quality control analysts). By considering the core challenges reported along with an analysis of existing provenance-support techniques through existing research and systems, we contribute new insights about needs and opportunities for improvements to provenance-support methods.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Practical data analysis scenarios involve more than just the interpretation of data through visual and algorithmic analysis. Many real-world analysis environments involve multiple types of experts and analysts working together to solve problems and make decisions, adding organizational and social requirements to the mix. We aim to provide new knowledge about the role of provenance for practical problems in a variety of analysis scenarios central to national security. We present the findings from interviews with data analysts from domains, such as intelligence analysis, cyber-security, and geospatial intelligence. In addition to covering multiple analysis domains, our study also considers practical workplace implications related to organizational roles and the level of analyst experience. The results demonstrate how different needs for provenance depend on different roles in the analysis effort (e.g., data analyst, task managers, data analyst trainers, and quality control analysts). By considering the core challenges reported along with an analysis of existing provenance-support techniques through existing research and systems, we contribute new insights about needs and opportunities for improvements to provenance-support methods.",
"title": "Analytic Provenance in Practice: The Role of Provenance in Real-World Visualization and Data Analysis Environments",
"normalizedTitle": "Analytic Provenance in Practice: The Role of Provenance in Real-World Visualization and Data Analysis Environments",
"fno": "08788592",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Organisational Aspects",
"Personnel",
"Quality Control",
"Social Aspects Of Automation",
"Analytic Provenance",
"Real World Visualization",
"Data Analysis Environments",
"Visual Analysis",
"Algorithmic Analysis",
"Real World Analysis Environments",
"Organizational Requirements",
"Social Requirements",
"National Security",
"Intelligence Analysis",
"Cyber Security",
"Geospatial Intelligence",
"Multiple Analysis Domains",
"Practical Workplace Implications",
"Organizational Roles",
"Data Analyst Trainers",
"Quality Control Analysts",
"Provenance Support Methods",
"Provenance Support Techniques",
"Data Analysis",
"Task Analysis",
"Data Visualization",
"History",
"Visual Analytics",
"Human Centered Computing Visual Analytics Provenance Insight Provenance",
"Qualitative User Study"
],
"authors": [
{
"givenName": "Karthic",
"surname": "Madanagopal",
"fullName": "Karthic Madanagopal",
"affiliation": "Texas A&M University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Eric D.",
"surname": "Ragan",
"fullName": "Eric D. Ragan",
"affiliation": "University of Florida",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Perakath",
"surname": "Benjamin",
"fullName": "Perakath Benjamin",
"affiliation": "Knowledge Based Systems Inc.",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2019-11-01 00:00:00",
"pubType": "mags",
"pages": "30-45",
"year": "2019",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "mags/cg/2015/03/mcg2015030056",
"title": "Analytic Provenance for Sensemaking: A Research Agenda",
"doi": null,
"abstractUrl": "/magazine/cg/2015/03/mcg2015030056/13rRUB7a13F",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07194834",
"title": "SensePath: Understanding the Sensemaking Process Through Analytic Provenance",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07194834/13rRUEgarnM",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192714",
"title": "Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192714/13rRUxOdD2F",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122139",
"title": "An Extensible Framework for Provenance in Human Terrain Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122139/13rRUyfbwqH",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09903572",
"title": "The Influence of Visual Provenance Representations on Strategies in a Collaborative Hand-off Data Analysis Scenario",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09903572/1GZonS2SkKs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a300",
"title": "Improving Cybersecurity Incident Analysis Workflow with Analytical Provenance",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a300/1KaH3Ocwicg",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/06/08864010",
"title": "A Provenance Task Abstraction Framework",
"doi": null,
"abstractUrl": "/magazine/cg/2019/06/08864010/1e0YpvcVR7y",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a191",
"title": "CrowdTrace: Visualizing Provenance in Distributed Sensemaking",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a191/1qROdAHfNWU",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trex/2021/1817/0/181700a045",
"title": "A Case Study of Using Analytic Provenance to Reconstruct User Trust in a Guided Visual Analytics System",
"doi": null,
"abstractUrl": "/proceedings-article/trex/2021/181700a045/1yQB6KjO9oI",
"parentPublication": {
"id": "proceedings/trex/2021/1817/0",
"title": "2021 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09652041",
"title": "Provectories: Embedding-based Analysis of Interaction Provenance Data",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09652041/1zmuReh8VZ6",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08889811",
"articleId": "1eBul1FAEIE",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08864010",
"articleId": "1e0YpvcVR7y",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNwE9On0",
"title": "Nov.-Dec.",
"year": "2019",
"issueNum": "06",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "39",
"label": "Nov.-Dec.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1dqsvldDQuQ",
"doi": "10.1109/MCG.2019.2941856",
"abstract": "Data quality management and assessment play a vital role for ensuring the trust in the data and its fitness-of-use for subsequent analysis. The transformation history of a data wrangling system is often insufficient for determining the usability of a dataset, lacking information how changes affected the dataset. Capturing workflow provenance along the wrangling process and combining it with descriptive information as data provenance can enable users to comprehend how these changes affected the dataset, and if they benefited data quality. We present DQProv Explorer, a system that captures and visualizes provenance from data wrangling operations. It features three visualization components: allowing the user to explore the provenance graph of operations and the data stream, the development of quality over time for a sequence of wrangling operations applied to the dataset, and the distribution of issues across the entirety of the dataset to determine error patterns.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Data quality management and assessment play a vital role for ensuring the trust in the data and its fitness-of-use for subsequent analysis. The transformation history of a data wrangling system is often insufficient for determining the usability of a dataset, lacking information how changes affected the dataset. Capturing workflow provenance along the wrangling process and combining it with descriptive information as data provenance can enable users to comprehend how these changes affected the dataset, and if they benefited data quality. We present DQProv Explorer, a system that captures and visualizes provenance from data wrangling operations. It features three visualization components: allowing the user to explore the provenance graph of operations and the data stream, the development of quality over time for a sequence of wrangling operations applied to the dataset, and the distribution of issues across the entirety of the dataset to determine error patterns.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Data quality management and assessment play a vital role for ensuring the trust in the data and its fitness-of-use for subsequent analysis. The transformation history of a data wrangling system is often insufficient for determining the usability of a dataset, lacking information how changes affected the dataset. Capturing workflow provenance along the wrangling process and combining it with descriptive information as data provenance can enable users to comprehend how these changes affected the dataset, and if they benefited data quality. We present DQProv Explorer, a system that captures and visualizes provenance from data wrangling operations. It features three visualization components: allowing the user to explore the provenance graph of operations and the data stream, the development of quality over time for a sequence of wrangling operations applied to the dataset, and the distribution of issues across the entirety of the dataset to determine error patterns.",
"title": "Capturing and Visualizing Provenance From Data Wrangling",
"normalizedTitle": "Capturing and Visualizing Provenance From Data Wrangling",
"fno": "08843909",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Analysis",
"Data Handling",
"Data Visualisation",
"Quality Management",
"Workflow Management Software",
"Transformation History",
"Data Wrangling System",
"Workflow Provenance",
"Wrangling Process",
"Descriptive Information",
"Data Provenance",
"Data Quality",
"Visualization Components",
"Provenance Graph",
"Data Stream",
"Data Quality Management",
"Provenance Visualization",
"DQ Prov Explorer",
"Data Wrangling Operations",
"Data Integrity",
"Measurement",
"Data Visualization",
"History",
"Data Models",
"Data Wrangling",
"Data Cleansing",
"Data Quality",
"Quality Metrics",
"Data Provenance",
"Sensemaking"
],
"authors": [
{
"givenName": "Christian",
"surname": "Bors",
"fullName": "Christian Bors",
"affiliation": "TU Wien",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Theresia",
"surname": "Gschwandtner",
"fullName": "Theresia Gschwandtner",
"affiliation": "TU Wien",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Silvia",
"surname": "Miksch",
"fullName": "Silvia Miksch",
"affiliation": "TU Wien",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "06",
"pubDate": "2019-11-01 00:00:00",
"pubType": "mags",
"pages": "61-75",
"year": "2019",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/sbgames/2017/4846/0/484601a066",
"title": "Capturing Game Telemetry with Provenance",
"doi": null,
"abstractUrl": "/proceedings-article/sbgames/2017/484601a066/12OmNAqU4Xh",
"parentPublication": {
"id": "proceedings/sbgames/2017/4846/0",
"title": "2017 16th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sccompanion/2012/4956/0/4956b387",
"title": "Poster: Visualizing Large Scale Scientific Data Provenance",
"doi": null,
"abstractUrl": "/proceedings-article/sccompanion/2012/4956b387/12OmNwp74BT",
"parentPublication": {
"id": "proceedings/sccompanion/2012/4956/0",
"title": "2012 SC Companion: High Performance Computing, Networking Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sccompanion/2012/4956/0/4956b385",
"title": "Abstract: Visualizing Large Scale Scientific Data Provenance",
"doi": null,
"abstractUrl": "/proceedings-article/sccompanion/2012/4956b385/12OmNz5JCc7",
"parentPublication": {
"id": "proceedings/sccompanion/2012/4956/0",
"title": "2012 SC Companion: High Performance Computing, Networking Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ccgrid/2017/6611/0/07973733",
"title": "ProvChain: A Blockchain-Based Data Provenance Architecture in Cloud Environment with Enhanced Privacy and Availability",
"doi": null,
"abstractUrl": "/proceedings-article/ccgrid/2017/07973733/12OmNzZEAve",
"parentPublication": {
"id": "proceedings/ccgrid/2017/6611/0",
"title": "2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2017/2715/0/08258015",
"title": "Data context informed data wrangling",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2017/08258015/17D45WGGoLr",
"parentPublication": {
"id": "proceedings/big-data/2017/2715/0",
"title": "2017 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/06/08788592",
"title": "Analytic Provenance in Practice: The Role of Provenance in Real-World Visualization and Data Analysis Environments",
"doi": null,
"abstractUrl": "/magazine/cg/2019/06/08788592/1cfqCMPtgRy",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/06/08864010",
"title": "A Provenance Task Abstraction Framework",
"doi": null,
"abstractUrl": "/magazine/cg/2019/06/08864010/1e0YpvcVR7y",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iri/2020/1054/0/09191630",
"title": "Fairness in Data Wrangling",
"doi": null,
"abstractUrl": "/proceedings-article/iri/2020/09191630/1n0Iv5fBnjy",
"parentPublication": {
"id": "proceedings/iri/2020/1054/0",
"title": "2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09229515",
"title": "Table Scraps: An Actionable Framework for Multi-Table Data Wrangling From An Artifact Study of Computational Journalism",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09229515/1o3nxS8lm7u",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vissoft/2021/3144/0/314400a100",
"title": "An Interactive Dashboard for Visualizing the Provenance of Software Development Processes",
"doi": null,
"abstractUrl": "/proceedings-article/vissoft/2021/314400a100/1yrHr2bA0yQ",
"parentPublication": {
"id": "proceedings/vissoft/2021/3144/0",
"title": "2021 Working Conference on Software Visualization (VISSOFT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08864010",
"articleId": "1e0YpvcVR7y",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08891843",
"articleId": "1eIcaz2vORq",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNCm7Bxm",
"title": "July/August",
"year": "2005",
"issueNum": "04",
"idPrefix": "tg",
"pubType": "journal",
"volume": "11",
"label": "July/August",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwbs2gj",
"doi": "10.1109/TVCG.2005.53",
"abstract": "High-throughput experiments, such as gene expression microarrays in the life sciences, result in very large data sets. In response, a wide variety of visualization tools have been created to facilitate data analysis. A primary purpose of these tools is to provide biologically relevant insight into the data. Typically, visualizations are evaluated in controlled studies that measure user performance on predetermined tasks or using heuristics and expert reviews. To evaluate and rank bioinformatics visualizations based on real-world data analysis scenarios, we developed a more relevant evaluation method that focuses on data insight. This paper presents several characteristics of insight that enabled us to recognize and quantify it in open-ended user tests. Using these characteristics, we evaluated five microarray visualization tools on the amount and types of insight they provide and the time it takes to acquire it. The results of the study guide biologists in selecting a visualization tool based on the type of their microarray data, visualization designers on the key role of user interaction techniques, and evaluators on a new approach for evaluating the effectiveness of visualizations for providing insight. Though we used the method to analyze bioinformatics visualizations, it can be applied to other domains.",
"abstracts": [
{
"abstractType": "Regular",
"content": "High-throughput experiments, such as gene expression microarrays in the life sciences, result in very large data sets. In response, a wide variety of visualization tools have been created to facilitate data analysis. A primary purpose of these tools is to provide biologically relevant insight into the data. Typically, visualizations are evaluated in controlled studies that measure user performance on predetermined tasks or using heuristics and expert reviews. To evaluate and rank bioinformatics visualizations based on real-world data analysis scenarios, we developed a more relevant evaluation method that focuses on data insight. This paper presents several characteristics of insight that enabled us to recognize and quantify it in open-ended user tests. Using these characteristics, we evaluated five microarray visualization tools on the amount and types of insight they provide and the time it takes to acquire it. The results of the study guide biologists in selecting a visualization tool based on the type of their microarray data, visualization designers on the key role of user interaction techniques, and evaluators on a new approach for evaluating the effectiveness of visualizations for providing insight. Though we used the method to analyze bioinformatics visualizations, it can be applied to other domains.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "High-throughput experiments, such as gene expression microarrays in the life sciences, result in very large data sets. In response, a wide variety of visualization tools have been created to facilitate data analysis. A primary purpose of these tools is to provide biologically relevant insight into the data. Typically, visualizations are evaluated in controlled studies that measure user performance on predetermined tasks or using heuristics and expert reviews. To evaluate and rank bioinformatics visualizations based on real-world data analysis scenarios, we developed a more relevant evaluation method that focuses on data insight. This paper presents several characteristics of insight that enabled us to recognize and quantify it in open-ended user tests. Using these characteristics, we evaluated five microarray visualization tools on the amount and types of insight they provide and the time it takes to acquire it. The results of the study guide biologists in selecting a visualization tool based on the type of their microarray data, visualization designers on the key role of user interaction techniques, and evaluators on a new approach for evaluating the effectiveness of visualizations for providing insight. Though we used the method to analyze bioinformatics visualizations, it can be applied to other domains.",
"title": "An Insight-Based Methodology for Evaluating Bioinformatics Visualizations",
"normalizedTitle": "An Insight-Based Methodology for Evaluating Bioinformatics Visualizations",
"fno": "v0443",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Index Terms Evaluation Methodology",
"Graphical User Interfaces GUI",
"Information Visualization",
"Visualization Systems And Software",
"Visualization Techniques And Methodologies"
],
"authors": [
{
"givenName": "Purvi",
"surname": "Saraiya",
"fullName": "Purvi Saraiya",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Chris",
"surname": "North",
"fullName": "Chris North",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Karen",
"surname": "Duca",
"fullName": "Karen Duca",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2005-07-01 00:00:00",
"pubType": "trans",
"pages": "443-456",
"year": "2005",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ieee-infovis/2004/8779/0/87790001",
"title": "An Evaluation of Microarray Visualization Tools for Biological Insight",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2004/87790001/12OmNvwkukA",
"parentPublication": {
"id": "proceedings/ieee-infovis/2004/8779/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2014/6227/0/07042482",
"title": "An insight- and task-based methodology for evaluating spatiotemporal visual analytics",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2014/07042482/12OmNwp74wP",
"parentPublication": {
"id": "proceedings/vast/2014/6227/0",
"title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2016/8942/0/8942a203",
"title": "Promoting Insight: A Case Study of How to Incorporate Interaction in Existing Data Visualizations",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2016/8942a203/12OmNx7G68T",
"parentPublication": {
"id": "proceedings/iv/2016/8942/0",
"title": "2016 20th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2005/04/v0432",
"title": "Knowledge Precepts for Design and Evaluation of Information Visualizations",
"doi": null,
"abstractUrl": "/journal/tg/2005/04/v0432/13rRUEgarnC",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2009/02/mcg2009020014",
"title": "Defining Insight for Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2009/02/mcg2009020014/13rRUwh80JN",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/04/v0509",
"title": "An Approach to the Perceptual Optimization of Complex Visualizations",
"doi": null,
"abstractUrl": "/journal/tg/2006/04/v0509/13rRUx0gepU",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1511",
"title": "An Insight-Based Longitudinal Study of Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1511/13rRUxBJhvl",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2006/03/mcg2006030006",
"title": "Toward Measuring Visualization Insight",
"doi": null,
"abstractUrl": "/magazine/cg/2006/03/mcg2006030006/13rRUxZRbrM",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vl-hcc/2022/4214/0/09833097",
"title": "The Role of Expertise on Insight Generation from Visualization Sequences",
"doi": null,
"abstractUrl": "/proceedings-article/vl-hcc/2022/09833097/1FUSFyWN47C",
"parentPublication": {
"id": "proceedings/vl-hcc/2022/4214/0",
"title": "2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222102",
"title": "Communicative Visualizations as a Learning Problem",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222102/1nTr1JohElO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "v0432",
"articleId": "13rRUEgarnC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "v0457",
"articleId": "13rRUIM2VGU",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvGPE8d",
"title": "March/April",
"year": "2009",
"issueNum": "02",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "29",
"label": "March/April",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwh80JN",
"doi": "10.1109/MCG.2009.22",
"abstract": "Many have proposed that the goal of visualization is insight. However, few rigorous definitions of insight exist in the visualization community, and none have been commonly accepted. We propose that two types of insight are relevant to the visualization community. We examine the definition of insight cognitive scientists use (spontaneous insight) and compare it with the definitions the visualization community uses (knowledge-building insight). The two, although distinct, are related and contribute toward each other. Only by understanding how the two types differ and interact with each other can the visualization community accurately measure insight and determine the effectiveness of visualizations.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Many have proposed that the goal of visualization is insight. However, few rigorous definitions of insight exist in the visualization community, and none have been commonly accepted. We propose that two types of insight are relevant to the visualization community. We examine the definition of insight cognitive scientists use (spontaneous insight) and compare it with the definitions the visualization community uses (knowledge-building insight). The two, although distinct, are related and contribute toward each other. Only by understanding how the two types differ and interact with each other can the visualization community accurately measure insight and determine the effectiveness of visualizations.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Many have proposed that the goal of visualization is insight. However, few rigorous definitions of insight exist in the visualization community, and none have been commonly accepted. We propose that two types of insight are relevant to the visualization community. We examine the definition of insight cognitive scientists use (spontaneous insight) and compare it with the definitions the visualization community uses (knowledge-building insight). The two, although distinct, are related and contribute toward each other. Only by understanding how the two types differ and interact with each other can the visualization community accurately measure insight and determine the effectiveness of visualizations.",
"title": "Defining Insight for Visual Analytics",
"normalizedTitle": "Defining Insight for Visual Analytics",
"fno": "mcg2009020014",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Visual Analytics",
"Insight",
"Visualization"
],
"authors": [
{
"givenName": "Remco",
"surname": "Chang",
"fullName": "Remco Chang",
"affiliation": "University of North Carolina at Charlotte",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Caroline",
"surname": "Ziemkiewicz",
"fullName": "Caroline Ziemkiewicz",
"affiliation": "University of North Carolina at Charlotte",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Tera Marie",
"surname": "Green",
"fullName": "Tera Marie Green",
"affiliation": "Simon Fraser University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "William",
"surname": "Ribarsky",
"fullName": "William Ribarsky",
"affiliation": "University of North Carolina at Charlotte",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2009-03-01 00:00:00",
"pubType": "mags",
"pages": "14-17",
"year": "2009",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2018/1424/0/142401a160",
"title": "Visual Analytics for Networked-Guarantee Loans Risk Management",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2018/142401a160/12OmNBpVPS1",
"parentPublication": {
"id": "proceedings/pacificvis/2018/1424/0",
"title": "2018 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2004/8779/0/87790001",
"title": "An Evaluation of Microarray Visualization Tools for Biological Insight",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2004/87790001/12OmNvwkukA",
"parentPublication": {
"id": "proceedings/ieee-infovis/2004/8779/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2014/6227/0/07042482",
"title": "An insight- and task-based methodology for evaluating spatiotemporal visual analytics",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2014/07042482/12OmNwp74wP",
"parentPublication": {
"id": "proceedings/vast/2014/6227/0",
"title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2012/4752/0/06400544",
"title": "Optimizing an SPT-tree for visual analytics",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400544/12OmNwx3Q97",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc/2016/4297/0/07828556",
"title": "Agile Visual Analytics in Data Science Systems",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc/2016/07828556/12OmNyPQ4Qw",
"parentPublication": {
"id": "proceedings/hpcc/2016/4297/0",
"title": "2016 IEEE 18th International Conference on High-Performance Computing and Communications, IEEE 14th International Conference on Smart City, and IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2017/01/mcg2017010100",
"title": "Sampling for Scalable Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2017/01/mcg2017010100/13rRUxBa5pi",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/12/ttg2012122899",
"title": "A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series",
"doi": null,
"abstractUrl": "/journal/tg/2012/12/ttg2012122899/13rRUxDqS8g",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2006/03/mcg2006030006",
"title": "Toward Measuring Visualization Insight",
"doi": null,
"abstractUrl": "/magazine/cg/2006/03/mcg2006030006/13rRUxZRbrM",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2014/02/mcg2014020024",
"title": "Visual Analytics for Biological Data",
"doi": null,
"abstractUrl": "/magazine/cg/2014/02/mcg2014020024/13rRUygT7hB",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/12/09511808",
"title": "VisInReport: Complementing Visual Discourse Analytics Through Personalized Insight Reports",
"doi": null,
"abstractUrl": "/journal/tg/2022/12/09511808/1vYRHccYKDS",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2009020011",
"articleId": "13rRUB6SpR9",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2009020018",
"articleId": "13rRUyfKIKy",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvqEvRe",
"title": "July-Aug.",
"year": "2015",
"issueNum": "04",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "35",
"label": "July-Aug.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwwslv5",
"doi": "10.1109/MCG.2015.88",
"abstract": "The articles in this theme issue focus on the unique challenges of designing visualization and visual analytic tools for use in a personal context. From a total of 17 submissions, we selected six representative articles that range from predesign studies to deployed prototypes. The articles focus on a range of applications, including quantified self presentations, personal note-taking, home energy consumption, and sports data collection.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The articles in this theme issue focus on the unique challenges of designing visualization and visual analytic tools for use in a personal context. From a total of 17 submissions, we selected six representative articles that range from predesign studies to deployed prototypes. The articles focus on a range of applications, including quantified self presentations, personal note-taking, home energy consumption, and sports data collection.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The articles in this theme issue focus on the unique challenges of designing visualization and visual analytic tools for use in a personal context. From a total of 17 submissions, we selected six representative articles that range from predesign studies to deployed prototypes. The articles focus on a range of applications, including quantified self presentations, personal note-taking, home energy consumption, and sports data collection.",
"title": "Personal Visualization and Personal Visual Analytics [Guest editors' introduction]",
"normalizedTitle": "Personal Visualization and Personal Visual Analytics [Guest editors' introduction]",
"fno": "mcg2015040026",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Personal Visualization",
"Personal Visual Analytics",
"Personal Context",
"Quantified Self Presentations",
"Personal Note Taking",
"Home Energy Consumption",
"Sports Data Collection",
"Special Issues And Sections",
"Visual Analytics",
"Data Visualization",
"Big Data",
"Research And Development",
"Computer Graphics",
"Personal Visualization",
"Personal Visual Analytics",
"Interactive Visualizations",
"Eye Tracking",
"Quantified Self"
],
"authors": [
{
"givenName": "Melanie",
"surname": "Tory",
"fullName": "Melanie Tory",
"affiliation": "University of Victoria",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Sheelagh",
"surname": "Carpendale",
"fullName": "Sheelagh Carpendale",
"affiliation": "University of Calgary",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": false,
"showRecommendedArticles": true,
"isOpenAccess": true,
"issueNum": "04",
"pubDate": "2015-07-01 00:00:00",
"pubType": "mags",
"pages": "26-27",
"year": "2015",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "mags/cs/2016/02/mcs2016020006",
"title": "Guest Editors' introduction",
"doi": null,
"abstractUrl": "/magazine/cs/2016/02/mcs2016020006/13rRUEgs2Q2",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2014/05/mcg2014050022",
"title": "Business Intelligence Analytics [Guest editors' introduction]",
"doi": null,
"abstractUrl": "/magazine/cg/2014/05/mcg2014050022/13rRUwI5Uah",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/sp/2016/01/msp2016010011",
"title": "Software Everywhere [Guest editors' introduction]",
"doi": null,
"abstractUrl": "/magazine/sp/2016/01/msp2016010011/13rRUwIF6jk",
"parentPublication": {
"id": "mags/sp",
"title": "IEEE Security & Privacy",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/2013/06/ttd2013061062",
"title": "Guest Editors' Introduction: Special Issue on Cloud Computing",
"doi": null,
"abstractUrl": "/journal/td/2013/06/ttd2013061062/13rRUwInuWd",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/dt/2013/01/06524103",
"title": "Guest Editors' Introduction to Practical Parallel EDA",
"doi": null,
"abstractUrl": "/magazine/dt/2013/01/06524103/13rRUxAASOw",
"parentPublication": {
"id": "mags/dt",
"title": "IEEE Design & Test of Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/dt/2013/04/06658914",
"title": "Guest Editors' Introduction: Silicon Debug and Diagnosis",
"doi": null,
"abstractUrl": "/magazine/dt/2013/04/06658914/13rRUxAATc9",
"parentPublication": {
"id": "mags/dt",
"title": "IEEE Design & Test of Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/05/ttg2012050660",
"title": "Guest Editors' Introduction: Special Section on the IEEE Conference on Visual Analytics Science and Technology (VAST)",
"doi": null,
"abstractUrl": "/journal/tg/2012/05/ttg2012050660/13rRUxBa5bV",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/07/ttg2013071076",
"title": "Guest Editors' Introduction: Special Section on the IEEE Conference on Visual Analytics Science and Technology (VAST)",
"doi": null,
"abstractUrl": "/journal/tg/2013/07/ttg2013071076/13rRUxOdD2D",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/2013/08/ttc2013081478",
"title": "Guest Editors' Introduction: Special Section on Adaptive Hardware and Systems",
"doi": null,
"abstractUrl": "/journal/tc/2013/08/ttc2013081478/13rRUxZRbnq",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/so/2015/06/mso2015060027",
"title": "Refactoring [Guest editors' introduction]",
"doi": null,
"abstractUrl": "/magazine/so/2015/06/mso2015060027/13rRUyuNsDN",
"parentPublication": {
"id": "mags/so",
"title": "IEEE Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2015040022",
"articleId": "13rRUy3gn2M",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2015040028",
"articleId": "13rRUxCRFQl",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzZ5oam",
"title": "July/August",
"year": "2008",
"issueNum": "04",
"idPrefix": "tg",
"pubType": "journal",
"volume": "14",
"label": "July/August",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUx0xPIw",
"doi": "10.1109/TVCG.2007.70624",
"abstract": "Artists, illustrators, photographers, and cinematographers have long used the principles of contrast and composition to guide visual attention. In this paper we introduce geometry modification as a tool to persuasively direct visual attention. We build upon recent advances in mesh saliency to develop techniques to alter geometry to elicit greater visual attention. Eye-tracking-based user studies show that our approach successfully guides user attention in a statistically significant manner. Our approach operates directly on geometry, and therefore produces view-independent results that can be used with existing view-dependent techniques of visual persuasion.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Artists, illustrators, photographers, and cinematographers have long used the principles of contrast and composition to guide visual attention. In this paper we introduce geometry modification as a tool to persuasively direct visual attention. We build upon recent advances in mesh saliency to develop techniques to alter geometry to elicit greater visual attention. Eye-tracking-based user studies show that our approach successfully guides user attention in a statistically significant manner. Our approach operates directly on geometry, and therefore produces view-independent results that can be used with existing view-dependent techniques of visual persuasion.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Artists, illustrators, photographers, and cinematographers have long used the principles of contrast and composition to guide visual attention. In this paper we introduce geometry modification as a tool to persuasively direct visual attention. We build upon recent advances in mesh saliency to develop techniques to alter geometry to elicit greater visual attention. Eye-tracking-based user studies show that our approach successfully guides user attention in a statistically significant manner. Our approach operates directly on geometry, and therefore produces view-independent results that can be used with existing view-dependent techniques of visual persuasion.",
"title": "Persuading Visual Attention through Geometry",
"normalizedTitle": "Persuading Visual Attention through Geometry",
"fno": "ttg2008040772",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Display Algorithms",
"Geometric Algorithms",
"Languages",
"And Systems",
"Visualization Techniques And Methodologies"
],
"authors": [
{
"givenName": "Youngmin",
"surname": "Kim",
"fullName": "Youngmin Kim",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Amitabh",
"surname": "Varshney",
"fullName": "Amitabh Varshney",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2008-07-01 00:00:00",
"pubType": "trans",
"pages": "772-782",
"year": "2008",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/jcai/2009/3615/0/3615a390",
"title": "Bayesian Visual Inference and Attention",
"doi": null,
"abstractUrl": "/proceedings-article/jcai/2009/3615a390/12OmNApLGPo",
"parentPublication": {
"id": "proceedings/jcai/2009/3615/0",
"title": "2009 International Joint Conference on Artificial Intelligence (JCAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/avss/2013/0703/0/06636611",
"title": "Unsupervised online learning of visual focus of attention",
"doi": null,
"abstractUrl": "/proceedings-article/avss/2013/06636611/12OmNCulYiu",
"parentPublication": {
"id": "proceedings/avss/2013/0703/0",
"title": "2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/crv/2017/2818/0/2818a337",
"title": "Enhancing Saliency of an Object Using Genetic Algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/crv/2017/2818a337/12OmNvSKNVk",
"parentPublication": {
"id": "proceedings/crv/2017/2818/0",
"title": "2017 14th Conference on Computer and Robot Vision (CRV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/saso/2012/4851/0/4851a211",
"title": "Collective Attention through Public Displays",
"doi": null,
"abstractUrl": "/proceedings-article/saso/2012/4851a211/12OmNwDj1f5",
"parentPublication": {
"id": "proceedings/saso/2012/4851/0",
"title": "2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mu/2016/01/mmu2016010082",
"title": "Visual Attention Retargeting",
"doi": null,
"abstractUrl": "/magazine/mu/2016/01/mmu2016010082/13rRUwj7csb",
"parentPublication": {
"id": "mags/mu",
"title": "IEEE MultiMedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/1977/12/01674794",
"title": "Algorithms in Numerical Geometry System",
"doi": null,
"abstractUrl": "/journal/tc/1977/12/01674794/13rRUxjyX2H",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2019/3293/0/329300g672",
"title": "Recursive Visual Attention in Visual Dialog",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2019/329300g672/1gyrcwWnFAY",
"parentPublication": {
"id": "proceedings/cvpr/2019/3293/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2019/3293/0/329300d059",
"title": "Learning Unsupervised Video Object Segmentation Through Visual Attention",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2019/329300d059/1gyrh5BJDqg",
"parentPublication": {
"id": "proceedings/cvpr/2019/3293/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2019/3293/0/08953606",
"title": "Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2019/08953606/1gys9asLg64",
"parentPublication": {
"id": "proceedings/cvpr/2019/3293/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800k0324",
"title": "Normalized and Geometry-Aware Self-Attention Network for Image Captioning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800k0324/1m3nzQ4My40",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2008040756",
"articleId": "13rRUx0xPTL",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2008040783",
"articleId": "13rRUwwaKt0",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxvO04Q",
"title": "Jan.",
"year": "2017",
"issueNum": "01",
"idPrefix": "tg",
"pubType": "journal",
"volume": "23",
"label": "Jan.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxBa568",
"doi": "10.1109/TVCG.2016.2598468",
"abstract": "Visual analytics (VA) is typically applied in scenarios where complex data has to be analyzed. Unfortunately, there is a natural correlation between the complexity of the data and the complexity of the tools to study them. An adverse effect of complicated tools is that analytical goals are more difficult to reach. Therefore, it makes sense to consider methods that guide or assist users in the visual analysis process. Several such methods already exist in the literature, yet we are lacking a general model that facilitates in-depth reasoning about guidance. We establish such a model by extending van Wijk's model of visualization with the fundamental components of guidance. Guidance is defined as a process that gradually narrows the gap that hinders effective continuation of the data analysis. We describe diverse inputs based on which guidance can be generated and discuss different degrees of guidance and means to incorporate guidance into VA tools. We use existing guidance approaches from the literature to illustrate the various aspects of our model. As a conclusion, we identify research challenges and suggest directions for future studies. With our work we take a necessary step to pave the way to a systematic development of guidance techniques that effectively support users in the context of VA.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Visual analytics (VA) is typically applied in scenarios where complex data has to be analyzed. Unfortunately, there is a natural correlation between the complexity of the data and the complexity of the tools to study them. An adverse effect of complicated tools is that analytical goals are more difficult to reach. Therefore, it makes sense to consider methods that guide or assist users in the visual analysis process. Several such methods already exist in the literature, yet we are lacking a general model that facilitates in-depth reasoning about guidance. We establish such a model by extending van Wijk's model of visualization with the fundamental components of guidance. Guidance is defined as a process that gradually narrows the gap that hinders effective continuation of the data analysis. We describe diverse inputs based on which guidance can be generated and discuss different degrees of guidance and means to incorporate guidance into VA tools. We use existing guidance approaches from the literature to illustrate the various aspects of our model. As a conclusion, we identify research challenges and suggest directions for future studies. With our work we take a necessary step to pave the way to a systematic development of guidance techniques that effectively support users in the context of VA.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Visual analytics (VA) is typically applied in scenarios where complex data has to be analyzed. Unfortunately, there is a natural correlation between the complexity of the data and the complexity of the tools to study them. An adverse effect of complicated tools is that analytical goals are more difficult to reach. Therefore, it makes sense to consider methods that guide or assist users in the visual analysis process. Several such methods already exist in the literature, yet we are lacking a general model that facilitates in-depth reasoning about guidance. We establish such a model by extending van Wijk's model of visualization with the fundamental components of guidance. Guidance is defined as a process that gradually narrows the gap that hinders effective continuation of the data analysis. We describe diverse inputs based on which guidance can be generated and discuss different degrees of guidance and means to incorporate guidance into VA tools. We use existing guidance approaches from the literature to illustrate the various aspects of our model. As a conclusion, we identify research challenges and suggest directions for future studies. With our work we take a necessary step to pave the way to a systematic development of guidance techniques that effectively support users in the context of VA.",
"title": "Characterizing Guidance in Visual Analytics",
"normalizedTitle": "Characterizing Guidance in Visual Analytics",
"fno": "07534883",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Context Modeling",
"Context",
"Automobiles",
"Visual Analytics",
"Data Visualization",
"User Support",
"Visual Analytics",
"Guidance Model",
"Assistance"
],
"authors": [
{
"givenName": "Davide",
"surname": "Ceneda",
"fullName": "Davide Ceneda",
"affiliation": "Vienna University of Technology, Austria",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Theresia",
"surname": "Gschwandtner",
"fullName": "Theresia Gschwandtner",
"affiliation": "Vienna University of Technology, Austria",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Thorsten",
"surname": "May",
"fullName": "Thorsten May",
"affiliation": "Fraunhofer IGD, Darmstadt, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Silvia",
"surname": "Miksch",
"fullName": "Silvia Miksch",
"affiliation": "Vienna University of Technology, Austria",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Hans-Jörg",
"surname": "Schulz",
"fullName": "Hans-Jörg Schulz",
"affiliation": "University of Rostock, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Marc",
"surname": "Streit",
"fullName": "Marc Streit",
"affiliation": "Johannes Kepler University, Linz, Austria",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Christian",
"surname": "Tominski",
"fullName": "Christian Tominski",
"affiliation": "University of Rostock, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2017-01-01 00:00:00",
"pubType": "trans",
"pages": "111-120",
"year": "2017",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/hicss/2013/4892/0/4892c416",
"title": "Visual Analytics for Public Health: Supporting Knowledge Construction and Decision-Making",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2013/4892c416/12OmNrJiCNq",
"parentPublication": {
"id": "proceedings/hicss/2013/4892/0",
"title": "2013 46th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040026",
"title": "A Graph Algebra for Scalable Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040026/13rRUILLkpN",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040063",
"title": "The Top 10 Challenges in Extreme-Scale Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040063/13rRUxC0SGA",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/04/mcg2012040023",
"title": "Extreme-Scale Visual Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2012/04/mcg2012040023/13rRUxjQyxF",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2015/03/06908006",
"title": "Personal Visualization and Personal Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2015/03/06908006/13rRUyYBlgA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09915529",
"title": "Lotse: A Practical Framework for Guidance in Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09915529/1HmgceWU2bK",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trex/2020/8514/0/851400a009",
"title": "Beyond Trust Building — Calibrating Trust in Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/trex/2020/851400a009/1pXm2QUw2ek",
"parentPublication": {
"id": "proceedings/trex/2020/8514/0",
"title": "2020 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a081",
"title": "Designing for Ambiguity: Visual Analytics in Avalanche Forecasting",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a081/1qROrjfqgSI",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2020/9134/0/913400a368",
"title": "A Characterization of Data Exchange between Visual Analytics Tools",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2020/913400a368/1rSRaA2LJBK",
"parentPublication": {
"id": "proceedings/iv/2020/9134/0",
"title": "2020 24th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/12/09477191",
"title": "Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2022/12/09477191/1v2MaNxe9k4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "07539329",
"articleId": "13rRUyYjKal",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07534744",
"articleId": "13rRUxOdD8k",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxI0KAQ",
"title": "Oct.-Dec.",
"year": "2016",
"issueNum": "04",
"idPrefix": "mu",
"pubType": "magazine",
"volume": "23",
"label": "Oct.-Dec.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwbaqIM",
"doi": "10.1109/MMUL.2016.63",
"abstract": "Expressive speech animation, or expressive visual speech, is the process by which some representation of facial features (graphical, statistical, or otherwise) is smoothly changed over time to articulate verbal speech, convey emotion through facial expression, or express other characteristics such as visual prosody. Used extensively in the production of movies and computer games, current techniques for visual speech animation are slow, laborious, and expensive. Therefore, efforts to automate the complex processes involved are of great interest to these multibillion-dollar industries. In this article, the authors describe a method for transforming speech animation between different emotional expressions. When the same sentence is spoken in two different expressive styles, a large proportion of the two sentences is the same. Intuitively, then, after factoring out timing differences, the residual is the expression. Based on earlier work showing two general categories of facial movements in expressive speech--high-frequency speech components (the content) and low-frequency expressive components (the style)--the authors use independent component analysis (ICA) to factorize these movements and show how the energy for different speaking styles is distributed in this space. They transform speaking style by projecting novel animation curves into the low-dimensional ICA space, redistributing the energy in the independent components, and reconstructing the animation by inverting the projection. As they describe, a single ICA model can be used for factoring multiple expressive styles, and their method works on a variety of data types. Evaluations show that viewers can identify the expressive style generated and have difficulty distinguishing transformed animation from ground truth. Finally, they show how their technique can be used to represent complex blends of expression.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Expressive speech animation, or expressive visual speech, is the process by which some representation of facial features (graphical, statistical, or otherwise) is smoothly changed over time to articulate verbal speech, convey emotion through facial expression, or express other characteristics such as visual prosody. Used extensively in the production of movies and computer games, current techniques for visual speech animation are slow, laborious, and expensive. Therefore, efforts to automate the complex processes involved are of great interest to these multibillion-dollar industries. In this article, the authors describe a method for transforming speech animation between different emotional expressions. When the same sentence is spoken in two different expressive styles, a large proportion of the two sentences is the same. Intuitively, then, after factoring out timing differences, the residual is the expression. Based on earlier work showing two general categories of facial movements in expressive speech--high-frequency speech components (the content) and low-frequency expressive components (the style)--the authors use independent component analysis (ICA) to factorize these movements and show how the energy for different speaking styles is distributed in this space. They transform speaking style by projecting novel animation curves into the low-dimensional ICA space, redistributing the energy in the independent components, and reconstructing the animation by inverting the projection. As they describe, a single ICA model can be used for factoring multiple expressive styles, and their method works on a variety of data types. Evaluations show that viewers can identify the expressive style generated and have difficulty distinguishing transformed animation from ground truth. Finally, they show how their technique can be used to represent complex blends of expression.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Expressive speech animation, or expressive visual speech, is the process by which some representation of facial features (graphical, statistical, or otherwise) is smoothly changed over time to articulate verbal speech, convey emotion through facial expression, or express other characteristics such as visual prosody. Used extensively in the production of movies and computer games, current techniques for visual speech animation are slow, laborious, and expensive. Therefore, efforts to automate the complex processes involved are of great interest to these multibillion-dollar industries. In this article, the authors describe a method for transforming speech animation between different emotional expressions. When the same sentence is spoken in two different expressive styles, a large proportion of the two sentences is the same. Intuitively, then, after factoring out timing differences, the residual is the expression. Based on earlier work showing two general categories of facial movements in expressive speech--high-frequency speech components (the content) and low-frequency expressive components (the style)--the authors use independent component analysis (ICA) to factorize these movements and show how the energy for different speaking styles is distributed in this space. They transform speaking style by projecting novel animation curves into the low-dimensional ICA space, redistributing the energy in the independent components, and reconstructing the animation by inverting the projection. As they describe, a single ICA model can be used for factoring multiple expressive styles, and their method works on a variety of data types. Evaluations show that viewers can identify the expressive style generated and have difficulty distinguishing transformed animation from ground truth. Finally, they show how their technique can be used to represent complex blends of expression.",
"title": "Expressive Modulation of Neutral Visual Speech",
"normalizedTitle": "Expressive Modulation of Neutral Visual Speech",
"fno": "mmu2016040068",
"hasPdf": true,
"idPrefix": "mu",
"keywords": [
"Speech",
"Shape",
"Training",
"Active Appearance Model",
"Hidden Markov Models",
"Visualization",
"Principal Component Analysis",
"Visualization",
"Visual Speech Animation",
"Expressive Visual Speech",
"Intendent Component Analysis",
"Data Analysis",
"Graphics",
"Multimedia"
],
"authors": [
{
"givenName": "Felix",
"surname": "Shaw",
"fullName": "Felix Shaw",
"affiliation": "University of East Anglia, Norwich, UK",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Barry-John",
"surname": "Theobald",
"fullName": "Barry-John Theobald",
"affiliation": "University of East Anglia, Norwich, UK",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2016-10-01 00:00:00",
"pubType": "mags",
"pages": "68-78",
"year": "2016",
"issn": "1070-986X",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/aiccsa/2014/7100/0/07073218",
"title": "Emotion conversion for expressive Arabic text to speech",
"doi": null,
"abstractUrl": "/proceedings-article/aiccsa/2014/07073218/12OmNAFWOOb",
"parentPublication": {
"id": "proceedings/aiccsa/2014/7100/0",
"title": "2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgi/2001/1007/0/10070038",
"title": "Principal Components of Expressive Speech Animation",
"doi": null,
"abstractUrl": "/proceedings-article/cgi/2001/10070038/12OmNAOKnZf",
"parentPublication": {
"id": "proceedings/cgi/2001/1007/0",
"title": "Proceedings. Computer Graphics International 2001",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2014/4717/0/06890554",
"title": "Realtime speech-driven facial animation using Gaussian Mixture Models",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2014/06890554/12OmNBC8Ayh",
"parentPublication": {
"id": "proceedings/icmew/2014/4717/0",
"title": "2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2018/2335/0/233501a409",
"title": "Expressive Speech-Driven Lip Movements with Multitask Learning",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2018/233501a409/12OmNBrlPxi",
"parentPublication": {
"id": "proceedings/fg/2018/2335/0",
"title": "2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2017/6067/0/08019546",
"title": "Visual speech synthesis from 3D mesh sequences driven by combined speech features",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2017/08019546/12OmNqBtiXN",
"parentPublication": {
"id": "proceedings/icme/2017/6067/0",
"title": "2017 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2011/348/0/06011861",
"title": "Animation of generic 3D head models driven by speech",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2011/06011861/12OmNviZlAw",
"parentPublication": {
"id": "proceedings/icme/2011/348/0",
"title": "2011 IEEE International Conference on Multimedia and Expo",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2004/8484/5/01327196",
"title": "Bayesian separation of audio-visual speech sources",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2004/01327196/12OmNx7XH1y",
"parentPublication": {
"id": "proceedings/icassp/2004/8484/5",
"title": "2004 IEEE International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2015/7082/0/07177478",
"title": "Affect-expressive hand gestures synthesis and animation",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2015/07177478/12OmNxGja0m",
"parentPublication": {
"id": "proceedings/icme/2015/7082/0",
"title": "2015 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2020/04/08341805",
"title": "Can We Generate Emotional Pronunciations for Expressive Speech Synthesis?",
"doi": null,
"abstractUrl": "/journal/ta/2020/04/08341805/13rRUxAStZn",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1523",
"title": "Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1523/13rRUxASubv",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mmu2016040060",
"articleId": "13rRUB6SpXp",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mmu2016040079",
"articleId": "13rRUxNEqSu",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxEjY3I",
"title": "May/June",
"year": "2005",
"issueNum": "03",
"idPrefix": "tg",
"pubType": "journal",
"volume": "11",
"label": "May/June",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxE04tq",
"doi": "10.1109/TVCG.2005.43",
"abstract": "We present a facial model designed primarily to support animated speech. Our facial model takes facial geometry as input and transforms it into a parametric deformable model. The facial model uses a muscle-based parameterization, allowing for easier integration between speech synchrony and facial expressions. Our facial model has a highly deformable lip model that is grafted onto the input facial geometry to provide the necessary geometric complexity needed for creating lip shapes and high-quality renderings. Our facial model also includes a highly deformable tongue model that can represent the shapes the tongue undergoes during speech. We add teeth, gums, and upper palate geometry to complete the inner mouth. To decrease the processing time, we hierarchically deform the facial surface. We also present a method to animate the facial model over time to create animated speech using a model of coarticulation that blends visemes together using dominance functions. We treat visemes as a dynamic shaping of the vocal tract by describing visemes as curves instead of keyframes. We show the utility of the techniques described in this paper by implementing them in a text-to-audiovisual-speech system that creates animation of speech from unrestricted text. The facial and coarticulation models must first be interactively initialized. The system then automatically creates accurate real-time animated speech from the input text. It is capable of cheaply producing tremendous amounts of animated speech with very low resource requirements.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We present a facial model designed primarily to support animated speech. Our facial model takes facial geometry as input and transforms it into a parametric deformable model. The facial model uses a muscle-based parameterization, allowing for easier integration between speech synchrony and facial expressions. Our facial model has a highly deformable lip model that is grafted onto the input facial geometry to provide the necessary geometric complexity needed for creating lip shapes and high-quality renderings. Our facial model also includes a highly deformable tongue model that can represent the shapes the tongue undergoes during speech. We add teeth, gums, and upper palate geometry to complete the inner mouth. To decrease the processing time, we hierarchically deform the facial surface. We also present a method to animate the facial model over time to create animated speech using a model of coarticulation that blends visemes together using dominance functions. We treat visemes as a dynamic shaping of the vocal tract by describing visemes as curves instead of keyframes. We show the utility of the techniques described in this paper by implementing them in a text-to-audiovisual-speech system that creates animation of speech from unrestricted text. The facial and coarticulation models must first be interactively initialized. The system then automatically creates accurate real-time animated speech from the input text. It is capable of cheaply producing tremendous amounts of animated speech with very low resource requirements.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We present a facial model designed primarily to support animated speech. Our facial model takes facial geometry as input and transforms it into a parametric deformable model. The facial model uses a muscle-based parameterization, allowing for easier integration between speech synchrony and facial expressions. Our facial model has a highly deformable lip model that is grafted onto the input facial geometry to provide the necessary geometric complexity needed for creating lip shapes and high-quality renderings. Our facial model also includes a highly deformable tongue model that can represent the shapes the tongue undergoes during speech. We add teeth, gums, and upper palate geometry to complete the inner mouth. To decrease the processing time, we hierarchically deform the facial surface. We also present a method to animate the facial model over time to create animated speech using a model of coarticulation that blends visemes together using dominance functions. We treat visemes as a dynamic shaping of the vocal tract by describing visemes as curves instead of keyframes. We show the utility of the techniques described in this paper by implementing them in a text-to-audiovisual-speech system that creates animation of speech from unrestricted text. The facial and coarticulation models must first be interactively initialized. The system then automatically creates accurate real-time animated speech from the input text. It is capable of cheaply producing tremendous amounts of animated speech with very low resource requirements.",
"title": "Creating Speech-Synchronized Animation",
"normalizedTitle": "Creating Speech-Synchronized Animation",
"fno": "v0341",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Facial Animation",
"Speech Synchronization",
"Lip Synchronization",
"Animation",
"Visual Speech Synthesis",
"Coarticulation",
"Facial Modeling"
],
"authors": [
{
"givenName": "Scott A.",
"surname": "King",
"fullName": "Scott A. King",
"affiliation": "IEEE",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Richard E.",
"surname": "Parent",
"fullName": "Richard E. Parent",
"affiliation": "IEEE Computer Society",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2005-05-01 00:00:00",
"pubType": "trans",
"pages": "341-352",
"year": "2005",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/culture-computing/2011/4546/0/4546a121",
"title": "Thai Speech-Driven Facial Animation",
"doi": null,
"abstractUrl": "/proceedings-article/culture-computing/2011/4546a121/12OmNARiM0A",
"parentPublication": {
"id": "proceedings/culture-computing/2011/4546/0",
"title": "International Conference on Culture and Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pg/2002/1784/0/17840077",
"title": "\"May I talk to you? :-)\" — Facial Animation from Text",
"doi": null,
"abstractUrl": "/proceedings-article/pg/2002/17840077/12OmNAkWveH",
"parentPublication": {
"id": "proceedings/pg/2002/1784/0",
"title": "Computer Graphics and Applications, Pacific Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2008/1971/0/04480758",
"title": "Creating a Speech Enabled Avatar from a Single Photograph",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2008/04480758/12OmNrMHOjV",
"parentPublication": {
"id": "proceedings/vr/2008/1971/0",
"title": "IEEE Virtual Reality 2008",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ca/1996/7588/0/75880098",
"title": "Facial Animation",
"doi": null,
"abstractUrl": "/proceedings-article/ca/1996/75880098/12OmNvT2oR2",
"parentPublication": {
"id": "proceedings/ca/1996/7588/0",
"title": "Computer Animation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iih-msp/2008/3278/0/3278a113",
"title": "An Approach to Speech Driven Animation",
"doi": null,
"abstractUrl": "/proceedings-article/iih-msp/2008/3278a113/12OmNvw2TcQ",
"parentPublication": {
"id": "proceedings/iih-msp/2008/3278/0",
"title": "2008 Fourth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/alpit/2008/3273/0/3273a257",
"title": "3D Visible Speech Animation Driven by Chinese Prosody Markup Language",
"doi": null,
"abstractUrl": "/proceedings-article/alpit/2008/3273a257/12OmNxwncJs",
"parentPublication": {
"id": "proceedings/alpit/2008/3273/0",
"title": "Advanced Language Processing and Web Information Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dmdcm/2011/4413/0/4413a107",
"title": "Creating Emotional Speech for Conversational Agents",
"doi": null,
"abstractUrl": "/proceedings-article/dmdcm/2011/4413a107/12OmNya72wB",
"parentPublication": {
"id": "proceedings/dmdcm/2011/4413/0",
"title": "Digital Media and Digital Content Management, Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ca/2002/1594/0/15940248",
"title": "Prototyping and Transforming Visemes for Animated Speech",
"doi": null,
"abstractUrl": "/proceedings-article/ca/2002/15940248/12OmNymjN2c",
"parentPublication": {
"id": "proceedings/ca/2002/1594/0",
"title": "Computer Animation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1523",
"title": "Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1523/13rRUxASubv",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2007/01/v0058",
"title": "Transferring of Speech Movements from Video to 3D Face Space",
"doi": null,
"abstractUrl": "/journal/tg/2007/01/v0058/13rRUxly95u",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "v0329",
"articleId": "13rRUwIF6dE",
"__typename": "AdjacentArticleType"
},
"next": null,
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNx1qV7z",
"title": "March-April",
"year": "2012",
"issueNum": "02",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "32",
"label": "March-April",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUyYBljd",
"doi": "10.1109/MCG.2012.41",
"abstract": "Computer animation researchers have been extensively investigating 3D facial-expression synthesis for decades. However, flexible, robust production of realistic 3D facial expressions is still technically challenging. A proposed modeling framework applies sparse coding to synthesize 3D expressive faces, using specified coefficients or expression examples. It also robustly recovers facial expressions from noisy and incomplete data. This approach can synthesize higher-quality expressions in less time than the state-of-the-art techniques.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Computer animation researchers have been extensively investigating 3D facial-expression synthesis for decades. However, flexible, robust production of realistic 3D facial expressions is still technically challenging. A proposed modeling framework applies sparse coding to synthesize 3D expressive faces, using specified coefficients or expression examples. It also robustly recovers facial expressions from noisy and incomplete data. This approach can synthesize higher-quality expressions in less time than the state-of-the-art techniques.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Computer animation researchers have been extensively investigating 3D facial-expression synthesis for decades. However, flexible, robust production of realistic 3D facial expressions is still technically challenging. A proposed modeling framework applies sparse coding to synthesize 3D expressive faces, using specified coefficients or expression examples. It also robustly recovers facial expressions from noisy and incomplete data. This approach can synthesize higher-quality expressions in less time than the state-of-the-art techniques.",
"title": "Sparse Coding for Flexible, Robust 3D Facial-Expression Synthesis",
"normalizedTitle": "Sparse Coding for Flexible, Robust 3D Facial-Expression Synthesis",
"fno": "mcg2012020076",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Face Recognition",
"Animation",
"Three Dimensional Displays",
"Robustness",
"Computational Modeling",
"Facial Animation",
"Noise Measurement",
"Graphics And Multimedia",
"Sparse Coding",
"Expression Synthesis",
"Expression Retargeting",
"Incomplete Data",
"Noisy Data",
"Facial Expression Analogy",
"Bayesian Tensor Analysis",
"Computer Graphics"
],
"authors": [
{
"givenName": "Yuxu",
"surname": "Lin",
"fullName": "Yuxu Lin",
"affiliation": "Zhejiang University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Mingli",
"surname": "Song",
"fullName": "Mingli Song",
"affiliation": "Zhejiang University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Dao Thi Phuong",
"surname": "Quynh",
"fullName": "Dao Thi Phuong Quynh",
"affiliation": "Nanyang Technological University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Ying",
"surname": "He",
"fullName": "Ying He",
"affiliation": "Nanyang Technological University",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Chun",
"surname": "Chen",
"fullName": "Chun Chen",
"affiliation": "Zhejiang University",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "02",
"pubDate": "2012-03-01 00:00:00",
"pubType": "mags",
"pages": "76-88",
"year": "2012",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/acii/2009/4800/0/05349579",
"title": "Pleasure-arousal-dominance driven facial expression simulation",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2009/05349579/12OmNBLdKEh",
"parentPublication": {
"id": "proceedings/acii/2009/4800/0",
"title": "2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (ACII 2009)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiccsa/2013/0792/0/06616505",
"title": "Automatic Facial Expression Recognition System",
"doi": null,
"abstractUrl": "/proceedings-article/aiccsa/2013/06616505/12OmNBsue6K",
"parentPublication": {
"id": "proceedings/aiccsa/2013/0792/0",
"title": "2013 ACS International Conference on Computer Systems and Applications (AICCSA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dmdcm/2011/4413/0/4413a132",
"title": "Towards 3D Communications: Real Time Emotion Driven 3D Virtual Facial Animation",
"doi": null,
"abstractUrl": "/proceedings-article/dmdcm/2011/4413a132/12OmNrHjqI9",
"parentPublication": {
"id": "proceedings/dmdcm/2011/4413/0",
"title": "Digital Media and Digital Content Management, Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2012/1226/0/008P1A08",
"title": "A data-driven approach for facial expression synthesis in video",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2012/008P1A08/12OmNvUaNfz",
"parentPublication": {
"id": "proceedings/cvpr/2012/1226/0",
"title": "2012 IEEE Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgiv/2010/4166/0/4166a009",
"title": "Expressive MPEG-4 Facial Animation Using Quadratic Deformation Models",
"doi": null,
"abstractUrl": "/proceedings-article/cgiv/2010/4166a009/12OmNxH9Xgx",
"parentPublication": {
"id": "proceedings/cgiv/2010/4166/0",
"title": "2010 Seventh International Conference on Computer Graphics, Imaging and Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2013/5545/0/06553788",
"title": "A high-resolution spontaneous 3D dynamic facial expression database",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2013/06553788/12OmNy2Jt31",
"parentPublication": {
"id": "proceedings/fg/2013/5545/0",
"title": "2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1523",
"title": "Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1523/13rRUxASubv",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2014/01/06737281",
"title": "Multi-View Facial Expression Recognition Based on Group Sparse Reduced-Rank Regression",
"doi": null,
"abstractUrl": "/journal/ta/2014/01/06737281/13rRUyuegny",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2018/6100/0/610000b199",
"title": "Unsupervised Features for Facial Expression Intensity Estimation Over Time",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2018/610000b199/17D45Wuc37p",
"parentPublication": {
"id": "proceedings/cvprw/2018/6100/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2021/3176/0/09666959",
"title": "Expression-Latent-Space-guided GAN for Facial Expression Animation based on Discrete Labels",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2021/09666959/1A6BAUodCMM",
"parentPublication": {
"id": "proceedings/fg/2021/3176/0",
"title": "2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2012020066",
"articleId": "13rRUwInvMN",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2012020089",
"articleId": "13rRUy3gmXy",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNvkpkSQ",
"title": "PrePrints",
"year": "5555",
"issueNum": "01",
"idPrefix": "ta",
"pubType": "journal",
"volume": null,
"label": "PrePrints",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1vzY3CSt5Pq",
"doi": "10.1109/TAFFC.2021.3100352",
"abstract": "We study the problem of facial expression animation from a still image according to a driving video. This is a challenging task as expression motions are non-rigid and very subtle to be captured. Existing methods mostly fail to model these subtle expression motions, leading to the lack of details in their animation results. In this paper, we propose a novel facial expression animation method based on generative adversarial learning. To capture the subtle expression motions, Landmark guided Residual Module (LRM) is proposed to model detailed facial expression features. Specifically, residual learning is conducted at both coarse and fine levels conditioned on facial landmark heatmaps and landmark points respectively. Furthermore, we employ a consistency discriminator to ensure the temporal consistency of the generated video sequence. In addition, a novel metric named Emotion Consistency Metric is proposed to evaluate the consistency of facial expressions in the generated sequences with those in the driving videos. Experiments on MUG-Face, Oulu-CASIA and CAER datasets show that the proposed method can generate arbitrary expression motions on the source still image effectively, which are more photo-realistic and consistent with the driving video compared with results of state-of-the-art methods.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We study the problem of facial expression animation from a still image according to a driving video. This is a challenging task as expression motions are non-rigid and very subtle to be captured. Existing methods mostly fail to model these subtle expression motions, leading to the lack of details in their animation results. In this paper, we propose a novel facial expression animation method based on generative adversarial learning. To capture the subtle expression motions, Landmark guided Residual Module (LRM) is proposed to model detailed facial expression features. Specifically, residual learning is conducted at both coarse and fine levels conditioned on facial landmark heatmaps and landmark points respectively. Furthermore, we employ a consistency discriminator to ensure the temporal consistency of the generated video sequence. In addition, a novel metric named Emotion Consistency Metric is proposed to evaluate the consistency of facial expressions in the generated sequences with those in the driving videos. Experiments on MUG-Face, Oulu-CASIA and CAER datasets show that the proposed method can generate arbitrary expression motions on the source still image effectively, which are more photo-realistic and consistent with the driving video compared with results of state-of-the-art methods.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We study the problem of facial expression animation from a still image according to a driving video. This is a challenging task as expression motions are non-rigid and very subtle to be captured. Existing methods mostly fail to model these subtle expression motions, leading to the lack of details in their animation results. In this paper, we propose a novel facial expression animation method based on generative adversarial learning. To capture the subtle expression motions, Landmark guided Residual Module (LRM) is proposed to model detailed facial expression features. Specifically, residual learning is conducted at both coarse and fine levels conditioned on facial landmark heatmaps and landmark points respectively. Furthermore, we employ a consistency discriminator to ensure the temporal consistency of the generated video sequence. In addition, a novel metric named Emotion Consistency Metric is proposed to evaluate the consistency of facial expressions in the generated sequences with those in the driving videos. Experiments on MUG-Face, Oulu-CASIA and CAER datasets show that the proposed method can generate arbitrary expression motions on the source still image effectively, which are more photo-realistic and consistent with the driving video compared with results of state-of-the-art methods.",
"title": "Facial Expression Animation by Landmark Guided Residual Module",
"normalizedTitle": "Facial Expression Animation by Landmark Guided Residual Module",
"fno": "09497710",
"hasPdf": true,
"idPrefix": "ta",
"keywords": [
"Animation",
"Faces",
"Measurement",
"Generative Adversarial Networks",
"Face Recognition",
"Task Analysis",
"Heating Systems"
],
"authors": [
{
"givenName": "Xueping",
"surname": "Wang",
"fullName": "Xueping Wang",
"affiliation": "School of Computer Science and Engineering, Beihang University, 12633 Beijing, Beijing, China, (e-mail: xpwang@buaa.edu.cn)",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Yunhong",
"surname": "Wang",
"fullName": "Yunhong Wang",
"affiliation": "School of Computer Science and Engineering, Beihang University, Beijing, Beijing, China, 100083 (e-mail: yhwang@buaa.edu.cn)",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Weixin",
"surname": "Li",
"fullName": "Weixin Li",
"affiliation": "School of Computer Science and Engineering, Beihang University, 12633 Beijing, Beijing, China, (e-mail: weixinli@buaa.edu.cn)",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Zhengyin",
"surname": "Du",
"fullName": "Zhengyin Du",
"affiliation": "Computer Science and Engineering, Beihang University, 12633 Beijing, Beijing, China, 100191 (e-mail: duzhy@buaa.edu.cn)",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Di",
"surname": "Huang",
"fullName": "Di Huang",
"affiliation": "School of Computer Science and Engineering, Beihang University, Beijing, Beijing, China, 100191 (e-mail: dhuang@buaa.edu.cn)",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2021-07-01 00:00:00",
"pubType": "trans",
"pages": "1-1",
"year": "5555",
"issn": "1949-3045",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2018/6420/0/642000a379",
"title": "Style Aggregated Network for Facial Landmark Detection",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000a379/17D45XDIXUB",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/642000h083",
"title": "Every Smile is Unique: Landmark-Guided Diverse Smile Generation",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000h083/17D45XuDNIJ",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2021/3176/0/09666959",
"title": "Expression-Latent-Space-guided GAN for Facial Expression Animation based on Discrete Labels",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2021/09666959/1A6BAUodCMM",
"parentPublication": {
"id": "proceedings/fg/2021/3176/0",
"title": "2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2022/04/09893307",
"title": "Facial Expression Translation Using Landmark Guided GANs",
"doi": null,
"abstractUrl": "/journal/ta/2022/04/09893307/1GGLa9RFsYw",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600u0279",
"title": "EMOCA: Emotion Driven Monocular Face Capture and Animation",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600u0279/1H0NpdUlHGM",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2019/9214/0/921400a613",
"title": "Grand Challenge of 106-Point Facial Landmark Localization",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2019/921400a613/1cJ0EgSDCSI",
"parentPublication": {
"id": "proceedings/icmew/2019/9214/0",
"title": "2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2022/02/09117185",
"title": "Dynamic Facial Expression Generation on Hilbert Hypersphere With Conditional Wasserstein Generative Adversarial Nets",
"doi": null,
"abstractUrl": "/journal/tp/2022/02/09117185/1kGfN3QogZq",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2020/3079/0/307900a652",
"title": "Face Video Generation from a Single Image and Landmarks",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2020/307900a652/1kecIOPdUiY",
"parentPublication": {
"id": "proceedings/fg/2020/3079/0/",
"title": "2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) (FG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2021/0477/0/047700b328",
"title": "FACEGAN: Facial Attribute Controllable rEenactment GAN",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2021/047700b328/1uqGqHtd4CQ",
"parentPublication": {
"id": "proceedings/wacv/2021/0477/0",
"title": "2021 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/09599570",
"title": "Impact of Facial Landmark Localization on Facial Expression Recognition",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09599570/1yeC4Ux5BqU",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09495165",
"articleId": "1vyj8POl1CM",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09502508",
"articleId": "1vEWLivQzM4",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNyYm2q3",
"title": "July",
"year": "1996",
"issueNum": "04",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "16",
"label": "July",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUIJuxxO",
"doi": "10.1109/38.511848",
"abstract": "The topics of computer animation and object collision detection and resolution have become increasingly desirable in a wide range of applications including autonomous vehicle navigation, robotics, and the movie industry. However, the techniques currently available are typically difficult to use or are restricted to a particular domain. This paper presents a technique for providing automatic animation and collision avoidance of arbitrary objects in a computer graphics system. The underlying construct used in this process is a surrounding volume octree vector field. The system automatically generates these structures around objects in the scene. By judicious creation and use of these vector fields, objects in the scene move and interact, but do not collide. The manner in which these vector fields are created is given. Two applications--cloud movement over terrain and autonomous aircraft navigation--are presented which show typical usage of this technique.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The topics of computer animation and object collision detection and resolution have become increasingly desirable in a wide range of applications including autonomous vehicle navigation, robotics, and the movie industry. However, the techniques currently available are typically difficult to use or are restricted to a particular domain. This paper presents a technique for providing automatic animation and collision avoidance of arbitrary objects in a computer graphics system. The underlying construct used in this process is a surrounding volume octree vector field. The system automatically generates these structures around objects in the scene. By judicious creation and use of these vector fields, objects in the scene move and interact, but do not collide. The manner in which these vector fields are created is given. Two applications--cloud movement over terrain and autonomous aircraft navigation--are presented which show typical usage of this technique.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The topics of computer animation and object collision detection and resolution have become increasingly desirable in a wide range of applications including autonomous vehicle navigation, robotics, and the movie industry. However, the techniques currently available are typically difficult to use or are restricted to a particular domain. This paper presents a technique for providing automatic animation and collision avoidance of arbitrary objects in a computer graphics system. The underlying construct used in this process is a surrounding volume octree vector field. The system automatically generates these structures around objects in the scene. By judicious creation and use of these vector fields, objects in the scene move and interact, but do not collide. The manner in which these vector fields are created is given. Two applications--cloud movement over terrain and autonomous aircraft navigation--are presented which show typical usage of this technique.",
"title": "Collision-Free Object Movement Using Vector Fields",
"normalizedTitle": "Collision-Free Object Movement Using Vector Fields",
"fno": "mcg1996040018",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Computer Graphics",
"Animation",
"Collision Avoidance",
"Vector Fields"
],
"authors": [
{
"givenName": "Parris K.",
"surname": "Egbert",
"fullName": "Parris K. Egbert",
"affiliation": null,
"__typename": "ArticleAuthorType"
},
{
"givenName": "Scott H.",
"surname": "Winkler",
"fullName": "Scott H. Winkler",
"affiliation": null,
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": false,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "1996-07-01 00:00:00",
"pubType": "mags",
"pages": "18-24",
"year": "1996",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [],
"adjacentArticles": {
"previous": {
"fno": "mcg1996040014",
"articleId": "13rRUyYBlj2",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg1996040025",
"articleId": "13rRUx0xPKY",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNrJRP25",
"title": "July/August",
"year": "2010",
"issueNum": "04",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "30",
"label": "July/August",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUwgQpwW",
"doi": "10.1109/MCG.2010.40",
"abstract": "Modern modeling and rendering techniques have produced nearly photorealistic face models, but truly expressive digital faces also require natural-looking movements. Virtual characters in today's applications often display unrealistic facial expressions. Indeed, facial animation with traditional schemes such as keyframing and motion capture demands expertise. Moreover, the traditional schemes aren't adapted to interactive applications that require the real-time generation of context-dependent movements. A new animation system produces realistic expressive facial motion at interactive speed. The system relies on a set of motion models controlling facial-expression dynamics. The models are fitted on captured motion data and therefore retain the dynamic signature of human facial expressions. They also contain a nondeterministic component that ensures the variety of the long-term visual behavior. This system can efficiently animate any synthetic face. The video illustrates interactive use of a system that generates facial-animation sequences.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Modern modeling and rendering techniques have produced nearly photorealistic face models, but truly expressive digital faces also require natural-looking movements. Virtual characters in today's applications often display unrealistic facial expressions. Indeed, facial animation with traditional schemes such as keyframing and motion capture demands expertise. Moreover, the traditional schemes aren't adapted to interactive applications that require the real-time generation of context-dependent movements. A new animation system produces realistic expressive facial motion at interactive speed. The system relies on a set of motion models controlling facial-expression dynamics. The models are fitted on captured motion data and therefore retain the dynamic signature of human facial expressions. They also contain a nondeterministic component that ensures the variety of the long-term visual behavior. This system can efficiently animate any synthetic face. The video illustrates interactive use of a system that generates facial-animation sequences.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Modern modeling and rendering techniques have produced nearly photorealistic face models, but truly expressive digital faces also require natural-looking movements. Virtual characters in today's applications often display unrealistic facial expressions. Indeed, facial animation with traditional schemes such as keyframing and motion capture demands expertise. Moreover, the traditional schemes aren't adapted to interactive applications that require the real-time generation of context-dependent movements. A new animation system produces realistic expressive facial motion at interactive speed. The system relies on a set of motion models controlling facial-expression dynamics. The models are fitted on captured motion data and therefore retain the dynamic signature of human facial expressions. They also contain a nondeterministic component that ensures the variety of the long-term visual behavior. This system can efficiently animate any synthetic face. The video illustrates interactive use of a system that generates facial-animation sequences.",
"title": "Modeling Short-Term Dynamics and Variability for Realistic Interactive Facial Animation",
"normalizedTitle": "Modeling Short-Term Dynamics and Variability for Realistic Interactive Facial Animation",
"fno": "mcg2010040051",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Facial Animation",
"Motion Models",
"Facial Dynamics",
"Interactive Animation",
"Computer Graphics",
"Graphics And Multimedia"
],
"authors": [
{
"givenName": "Nicolas",
"surname": "Stoiber",
"fullName": "Nicolas Stoiber",
"affiliation": "Orange Labs",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Gaspard",
"surname": "Breton",
"fullName": "Gaspard Breton",
"affiliation": "Orange Labs, Cesson-Sévigné",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Renaud",
"surname": "Seguier",
"fullName": "Renaud Seguier",
"affiliation": "Supelec",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2010-07-01 00:00:00",
"pubType": "mags",
"pages": "51-61",
"year": "2010",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/iccsee/2012/4647/3/4647c434",
"title": "A Survey of Computer Facial Animation Techniques",
"doi": null,
"abstractUrl": "/proceedings-article/iccsee/2012/4647c434/12OmNAXxXhU",
"parentPublication": {
"id": "proceedings/iccsee/2012/4647/3",
"title": "Computer Science and Electronics Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icig/2007/2929/0/29290874",
"title": "Modeling Expressive Wrinkles of Face For Animation",
"doi": null,
"abstractUrl": "/proceedings-article/icig/2007/29290874/12OmNBV9Iif",
"parentPublication": {
"id": "proceedings/icig/2007/2929/0",
"title": "Image and Graphics, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ca/2001/7237/0/00982371",
"title": "Realistic 3D facial animation parameters from mirror-reflected multi-view video",
"doi": null,
"abstractUrl": "/proceedings-article/ca/2001/00982371/12OmNCcKQrq",
"parentPublication": {
"id": "proceedings/ca/2001/7237/0",
"title": "Proceedings Computer Animation 2001. Fourteenth Conference on Computer Animation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/kse/2009/3846/0/3846a081",
"title": "Fast and Realistic 2D Facial Animation Based on Image Warping",
"doi": null,
"abstractUrl": "/proceedings-article/kse/2009/3846a081/12OmNqGA59e",
"parentPublication": {
"id": "proceedings/kse/2009/3846/0",
"title": "Knowledge and Systems Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ca/1996/7588/0/75880098",
"title": "Facial Animation",
"doi": null,
"abstractUrl": "/proceedings-article/ca/1996/75880098/12OmNvT2oR2",
"parentPublication": {
"id": "proceedings/ca/1996/7588/0",
"title": "Computer Animation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2008/3381/0/3381a648",
"title": "A Method for Deforming-Driven Exaggerated Facial Animation Generation",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2008/3381a648/12OmNvTjZRQ",
"parentPublication": {
"id": "proceedings/cw/2008/3381/0",
"title": "2008 International Conference on Cyberworlds",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ca/1996/7588/0/75880068",
"title": "Modeling, Tracking and Interactive Animation of Faces and Heads Using Input from Video",
"doi": null,
"abstractUrl": "/proceedings-article/ca/1996/75880068/12OmNwfKjaJ",
"parentPublication": {
"id": "proceedings/ca/1996/7588/0",
"title": "Computer Animation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2010/4215/0/4215a425",
"title": "Computer Animation of Facial Emotions",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2010/4215a425/12OmNzTYC9m",
"parentPublication": {
"id": "proceedings/cw/2010/4215/0",
"title": "2010 International Conference on Cyberworlds",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1523",
"title": "Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1523/13rRUxASubv",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/07/08960398",
"title": "Data-Driven 3D Neck Modeling and Animation",
"doi": null,
"abstractUrl": "/journal/tg/2021/07/08960398/1gC2pML2yuk",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "mcg2010040042",
"articleId": "13rRUB6Sq4P",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "mcg2010040062",
"articleId": "13rRUy0ZzSc",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXnFsc",
"name": "mcg2010040051v1.flv",
"location": "https://www.computer.org/csdl/api/v1/extra/mcg2010040051v1.flv",
"extension": "flv",
"size": "53.4 MB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNCy2L3z",
"title": "Oct.",
"year": "2012",
"issueNum": "10",
"idPrefix": "tg",
"pubType": "journal",
"volume": "18",
"label": "Oct.",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxNEqPP",
"doi": "10.1109/TVCG.2011.290",
"abstract": "Design of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Design of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Design of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects.",
"title": "Design of 2D Time-Varying Vector Fields",
"normalizedTitle": "Design of 2D Time-Varying Vector Fields",
"fno": "ttg2012101717",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Bifurcation",
"Time Varying Systems",
"Animation",
"Aerodynamics",
"Topology",
"Dynamic Effects For Surfaces",
"Time Varying Vector Fields",
"2 D Vector Fields",
"Vector Field Design"
],
"authors": [
{
"givenName": "Guoning",
"surname": "Chen",
"fullName": "Guoning Chen",
"affiliation": "University of Utah, Salt Lake City",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Vivek",
"surname": "Kwatra",
"fullName": "Vivek Kwatra",
"affiliation": "Google Inc., Mountain View",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Li-Yi",
"surname": "Wei",
"fullName": "Li-Yi Wei",
"affiliation": "Microsoft Research, Redmond and The University of Hong Kong, Hong Kong",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Charles D.",
"surname": "Hansen",
"fullName": "Charles D. Hansen",
"affiliation": "University of Utah, Salt Lake City",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Eugene",
"surname": "Zhang",
"fullName": "Eugene Zhang",
"affiliation": "Oregon State University, Corvallis",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "10",
"pubDate": "2012-10-01 00:00:00",
"pubType": "trans",
"pages": "1717-1730",
"year": "2012",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/cad-cg/2005/2473/0/24730385",
"title": "Detecting and Visualizing Local Bifurcations in 2D Time-dependent Vector Fields",
"doi": null,
"abstractUrl": "/proceedings-article/cad-cg/2005/24730385/12OmNBhZ4et",
"parentPublication": {
"id": "proceedings/cad-cg/2005/2473/0",
"title": "Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2000/6478/0/64780036",
"title": "Vector Fields Simplification - A Case Study of Visualizing Climate Modeling and Simulation Data Sets",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2000/64780036/12OmNqNos6s",
"parentPublication": {
"id": "proceedings/ieee-vis/2000/6478/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/1999/5897/0/58970062",
"title": "A Fast Volume Rendering Algorithm for Time-Varying Fields Using a Time-Space Partitioning (TSP) Tree",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/1999/58970062/12OmNxA3YU5",
"parentPublication": {
"id": "proceedings/ieee-vis/1999/5897/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2003/2030/0/20300029",
"title": "Out-of-Core Isosurface Extraction of Time-Varying Fields over Irregular Grids",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2003/20300029/12OmNxWuix4",
"parentPublication": {
"id": "proceedings/ieee-vis/2003/2030/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/1998/9176/0/91760159",
"title": "Isosurface Extraction in Time-Varying Fields Using a Temporal Hierarchical Index Tree",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/1998/91760159/12OmNxYL5dN",
"parentPublication": {
"id": "proceedings/ieee-vis/1998/9176/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/2007/3764/0/37640024",
"title": "Parallel hierarchical visualization of large time-varying 3D vector fields",
"doi": null,
"abstractUrl": "/proceedings-article/sc/2007/37640024/12OmNyoiYVF",
"parentPublication": {
"id": "proceedings/sc/2007/3764/0",
"title": "SC Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2000/6478/0/64780060",
"title": "Topology Preserving Compression of 2D Vector Fields",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2000/64780060/12OmNyqiaQo",
"parentPublication": {
"id": "proceedings/ieee-vis/2000/6478/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/1997/8262/0/82620301",
"title": "CAVEvis: distributed real-time visualization of time-varying scalar and vector fields using the CAVE virtual reality theater",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/1997/82620301/12OmNyr8Yn6",
"parentPublication": {
"id": "proceedings/ieee-vis/1997/8262/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009061367",
"title": "Isosurface Extraction and View-Dependent Filtering from Time-Varying Fields Using Persistent Time-Octree (PTOT)",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009061367/13rRUxly8XB",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/1992/09/i0910",
"title": "Bayesian Estimation of Motion Vector Fields",
"doi": null,
"abstractUrl": "/journal/tp/1992/09/i0910/13rRUxly96s",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2012101704",
"articleId": "13rRUNvgyWl",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2012101731",
"articleId": "13rRUIIVlke",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [
{
"id": "17ShDTXWRNB",
"name": "ttg2012101717s.mov",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2012101717s.mov",
"extension": "mov",
"size": "69.7 MB",
"__typename": "WebExtraType"
},
{
"id": "17ShDTXWRNA",
"name": "ttg2012101717s.pdf",
"location": "https://www.computer.org/csdl/api/v1/extra/ttg2012101717s.pdf",
"extension": "pdf",
"size": "145 kB",
"__typename": "WebExtraType"
}
],
"articleVideos": []
}
|
{
"issue": {
"id": "1KsRWKKVV7i",
"title": "March",
"year": "2023",
"issueNum": "03",
"idPrefix": "tp",
"pubType": "journal",
"volume": "45",
"label": "March",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "1FXWQMIicQ8",
"doi": "10.1109/TPAMI.2022.3181973",
"abstract": "Glass is very common in our daily life. Existing computer vision systems neglect it and thus may have severe consequences, e.g., a robot may crash into a glass wall. However, sensing the presence of glass is not straightforward. The key challenge is that arbitrary objects/scenes can appear behind the glass. In this paper, we propose an important problem of detecting glass surfaces from a single RGB image. To address this problem, we construct the first large-scale glass detection dataset (GDD) and propose a novel glass detection network, called GDNet-B, which explores abundant contextual cues in a large field-of-view via a novel large-field contextual feature integration (LCFI) module and integrates both high-level and low-level boundary features with a boundary feature enhancement (BFE) module. Extensive experiments demonstrate that our GDNet-B achieves satisfying glass detection results on the images within and beyond the GDD testing set. We further validate the effectiveness and generalization capability of our proposed GDNet-B by applying it to other vision tasks, including mirror segmentation and salient object detection. Finally, we show the potential applications of glass detection and discuss possible future research directions.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Glass is very common in our daily life. Existing computer vision systems neglect it and thus may have severe consequences, e.g., a robot may crash into a glass wall. However, sensing the presence of glass is not straightforward. The key challenge is that arbitrary objects/scenes can appear behind the glass. In this paper, we propose an important problem of detecting glass surfaces from a single RGB image. To address this problem, we construct the first large-scale glass detection dataset (GDD) and propose a novel glass detection network, called GDNet-B, which explores abundant contextual cues in a large field-of-view via a novel large-field contextual feature integration (LCFI) module and integrates both high-level and low-level boundary features with a boundary feature enhancement (BFE) module. Extensive experiments demonstrate that our GDNet-B achieves satisfying glass detection results on the images within and beyond the GDD testing set. We further validate the effectiveness and generalization capability of our proposed GDNet-B by applying it to other vision tasks, including mirror segmentation and salient object detection. Finally, we show the potential applications of glass detection and discuss possible future research directions.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Glass is very common in our daily life. Existing computer vision systems neglect it and thus may have severe consequences, e.g., a robot may crash into a glass wall. However, sensing the presence of glass is not straightforward. The key challenge is that arbitrary objects/scenes can appear behind the glass. In this paper, we propose an important problem of detecting glass surfaces from a single RGB image. To address this problem, we construct the first large-scale glass detection dataset (GDD) and propose a novel glass detection network, called GDNet-B, which explores abundant contextual cues in a large field-of-view via a novel large-field contextual feature integration (LCFI) module and integrates both high-level and low-level boundary features with a boundary feature enhancement (BFE) module. Extensive experiments demonstrate that our GDNet-B achieves satisfying glass detection results on the images within and beyond the GDD testing set. We further validate the effectiveness and generalization capability of our proposed GDNet-B by applying it to other vision tasks, including mirror segmentation and salient object detection. Finally, we show the potential applications of glass detection and discuss possible future research directions.",
"title": "Large-Field Contextual Feature Learning for Glass Detection",
"normalizedTitle": "Large-Field Contextual Feature Learning for Glass Detection",
"fno": "09863431",
"hasPdf": true,
"idPrefix": "tp",
"keywords": [
"Computer Vision",
"Feature Extraction",
"Glass",
"Image Colour Analysis",
"Image Enhancement",
"Image Segmentation",
"Learning Artificial Intelligence",
"Neural Nets",
"Object Detection",
"Abundant Contextual Cues",
"Boundary Feature Enhancement Module",
"Computer Vision Systems",
"GD Net B",
"Glass Detection Network",
"Glass Surface Detection",
"High Level Boundary Feature",
"Large Field Of View",
"Large Field Contextual Feature Integration Module",
"Large Field Contextual Feature Learning",
"Large Scale Glass Detection Dataset",
"LCFI Module",
"Low Level Boundary Feature",
"Mirror Segmentation",
"Salient Object Detection",
"Single RGB Image",
"Glass",
"Image Segmentation",
"Feature Extraction",
"Mirrors",
"Task Analysis",
"Reflection",
"Object Detection",
"Glass Detection",
"Transparent Surface",
"Large Field Contextual Features",
"Boundary Cue"
],
"authors": [
{
"givenName": "Haiyang",
"surname": "Mei",
"fullName": "Haiyang Mei",
"affiliation": "Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xin",
"surname": "Yang",
"fullName": "Xin Yang",
"affiliation": "Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Letian",
"surname": "Yu",
"fullName": "Letian Yu",
"affiliation": "Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Qiang",
"surname": "Zhang",
"fullName": "Qiang Zhang",
"affiliation": "Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Xiaopeng",
"surname": "Wei",
"fullName": "Xiaopeng Wei",
"affiliation": "Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Rynson W. H.",
"surname": "Lau",
"fullName": "Rynson W. H. Lau",
"affiliation": "Department of Computer Science, City University of Hong Kong, Hong Kong",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "03",
"pubDate": "2023-03-01 00:00:00",
"pubType": "trans",
"pages": "3329-3346",
"year": "2023",
"issn": "0162-8828",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ectc/2017/6315/0/07999742",
"title": "Design and Demonstration of a Photonic Integrated Glass Interposer for Mid-Board-Optical Engines",
"doi": null,
"abstractUrl": "/proceedings-article/ectc/2017/07999742/12OmNqFrGLP",
"parentPublication": {
"id": "proceedings/ectc/2017/6315/0",
"title": "2017 IEEE 67th Electronic Components and Technology Conference (ECTC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1547",
"title": "Image-Based Stained Glass",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1547/13rRUx0Pqpr",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2018/5500/0/550000a932",
"title": "Research on Design of Glass Wall Cleaning Robot",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2018/550000a932/17D45WWzW2R",
"parentPublication": {
"id": "proceedings/icisce/2018/5500/0",
"title": "2018 5th International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200p5839",
"title": "Enhanced Boundary Learning for Glass-like Object Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200p5839/1BmL82T1JM4",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiars/2022/5457/0/545700a028",
"title": "Visual Inspection and Grading System for Ceramic Glass Material Production Based on Computer Vision Technology",
"doi": null,
"abstractUrl": "/proceedings-article/aiars/2022/545700a028/1J2XQIrhpqE",
"parentPublication": {
"id": "proceedings/aiars/2022/5457/0",
"title": "2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cscc/2022/8186/0/818600a056",
"title": "Time Profile of the Glass-break Detector Testing Scenario based on the Accelerometer",
"doi": null,
"abstractUrl": "/proceedings-article/cscc/2022/818600a056/1KaFBnx1TC8",
"parentPublication": {
"id": "proceedings/cscc/2022/8186/0",
"title": "2022 26th International Conference on Circuits, Systems, Communications and Computers (CSCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800c395",
"title": "Reflection Scene Separation From a Single Image",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800c395/1m3nQCNCXXG",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800d684",
"title": "Don’t Hit Me! Glass Detection in Real-World Scenes",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800d684/1m3oqtNLktO",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icceic/2020/8573/0/857300a081",
"title": "External Reflection Recognition for Glass Walls Surface",
"doi": null,
"abstractUrl": "/proceedings-article/icceic/2020/857300a081/1rCgs4FoPVm",
"parentPublication": {
"id": "proceedings/icceic/2020/8573/0",
"title": "2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900n3410",
"title": "Rich Context Aggregation with Reflection Prior for Glass Surface Detection",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900n3410/1yeM48LNgT6",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09810175",
"articleId": "1EzDNsH9qwM",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09772338",
"articleId": "1DgjygyEkwg",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNxvwoNX",
"title": "July/August",
"year": "2010",
"issueNum": "04",
"idPrefix": "tg",
"pubType": "journal",
"volume": "16",
"label": "July/August",
"downloadables": {
"hasCover": false,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "13rRUxOdD8f",
"doi": "10.1109/TVCG.2010.30",
"abstract": "Classical direct volume rendering techniques accumulate color and opacity contributions using the standard volume rendering equation approximated by alpha blending. However, such standard rendering techniques, often also aiming at visual realism, are not always adequate for efficient data exploration, especially when large opaque areas are present in a data set, since such areas can occlude important features and make them invisible. On the other hand, the use of highly transparent transfer functions allows viewing all the features at once, but often makes these features barely visible. In order to enhance feature visibility, we present in this paper a straightforward rendering technique that consists of modifying the traditional volume rendering equation. Our approach does not require an opacity transfer function, and instead is based on a function quantifying the relative importance of each voxel in the final rendering called relevance function. This function is subsequently used to dynamically adjust the opacity of the contributions per pixel. We conduct experiments with a number of possible relevance functions in order to show the influence of this parameter. As will be shown by our comparative study, our rendering method is much more suitable than standard volume rendering for interactive data exploration at a low extra cost. Thereby, our method avoids feature visibility restrictions without relying on a transfer function and yet maintains a visual similarity with standard volume rendering.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Classical direct volume rendering techniques accumulate color and opacity contributions using the standard volume rendering equation approximated by alpha blending. However, such standard rendering techniques, often also aiming at visual realism, are not always adequate for efficient data exploration, especially when large opaque areas are present in a data set, since such areas can occlude important features and make them invisible. On the other hand, the use of highly transparent transfer functions allows viewing all the features at once, but often makes these features barely visible. In order to enhance feature visibility, we present in this paper a straightforward rendering technique that consists of modifying the traditional volume rendering equation. Our approach does not require an opacity transfer function, and instead is based on a function quantifying the relative importance of each voxel in the final rendering called relevance function. This function is subsequently used to dynamically adjust the opacity of the contributions per pixel. We conduct experiments with a number of possible relevance functions in order to show the influence of this parameter. As will be shown by our comparative study, our rendering method is much more suitable than standard volume rendering for interactive data exploration at a low extra cost. Thereby, our method avoids feature visibility restrictions without relying on a transfer function and yet maintains a visual similarity with standard volume rendering.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Classical direct volume rendering techniques accumulate color and opacity contributions using the standard volume rendering equation approximated by alpha blending. However, such standard rendering techniques, often also aiming at visual realism, are not always adequate for efficient data exploration, especially when large opaque areas are present in a data set, since such areas can occlude important features and make them invisible. On the other hand, the use of highly transparent transfer functions allows viewing all the features at once, but often makes these features barely visible. In order to enhance feature visibility, we present in this paper a straightforward rendering technique that consists of modifying the traditional volume rendering equation. Our approach does not require an opacity transfer function, and instead is based on a function quantifying the relative importance of each voxel in the final rendering called relevance function. This function is subsequently used to dynamically adjust the opacity of the contributions per pixel. We conduct experiments with a number of possible relevance functions in order to show the influence of this parameter. As will be shown by our comparative study, our rendering method is much more suitable than standard volume rendering for interactive data exploration at a low extra cost. Thereby, our method avoids feature visibility restrictions without relying on a transfer function and yet maintains a visual similarity with standard volume rendering.",
"title": "Per-Pixel Opacity Modulation for Feature Enhancement in Volume Rendering",
"normalizedTitle": "Per-Pixel Opacity Modulation for Feature Enhancement in Volume Rendering",
"fno": "ttg2010040560",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Volume Rendering",
"Adaptive Rendering",
"Nonphotorealistic Rendering"
],
"authors": [
{
"givenName": "Stéphane",
"surname": "Marchesin",
"fullName": "Stéphane Marchesin",
"affiliation": "Université de Strasbourg, Illkirch",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jean-Michel",
"surname": "Dischler",
"fullName": "Jean-Michel Dischler",
"affiliation": "Université de Strasbourg, Illkirch",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Catherine",
"surname": "Mongenet",
"fullName": "Catherine Mongenet",
"affiliation": "Université de Strasbourg, Illkirch",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "04",
"pubDate": "2010-07-01 00:00:00",
"pubType": "trans",
"pages": "560-570",
"year": "2010",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/ieee-vis/2003/2030/0/20300045",
"title": "Visibility Culling Using Plenoptic Opacity Functions for Large Volume Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2003/20300045/12OmNBhZ4fE",
"parentPublication": {
"id": "proceedings/ieee-vis/2003/2030/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2003/2030/0/20300042",
"title": "Empty Space Skipping and Occlusion Clipping for Texture-based Volume Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2003/20300042/12OmNCcbDXQ",
"parentPublication": {
"id": "proceedings/ieee-vis/2003/2030/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vv/1998/9180/0/91800135",
"title": "Opacity-Weighted Color Interpolation, for Volume Sampling",
"doi": null,
"abstractUrl": "/proceedings-article/vv/1998/91800135/12OmNweBUMp",
"parentPublication": {
"id": "proceedings/vv/1998/9180/0",
"title": "Volume Visualization and Graphics, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2003/2030/0/20300064",
"title": "Adaptive Design of a Global Opacity Transfer Function for Direct Volume Rendering of Ultrasound Data",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2003/20300064/12OmNwfKj94",
"parentPublication": {
"id": "proceedings/ieee-vis/2003/2030/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cis/2010/4297/0/4297a258",
"title": "A New Volume Rendering Algorithm of Data Field",
"doi": null,
"abstractUrl": "/proceedings-article/cis/2010/4297a258/12OmNwpoFHz",
"parentPublication": {
"id": "proceedings/cis/2010/4297/0",
"title": "2010 International Conference on Computational Intelligence and Security",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cadgraphics/2011/4497/0/4497a418",
"title": "Opacity Volume Based Halo Generation for Enhancing Depth Perception",
"doi": null,
"abstractUrl": "/proceedings-article/cadgraphics/2011/4497a418/12OmNwtn3BZ",
"parentPublication": {
"id": "proceedings/cadgraphics/2011/4497/0",
"title": "Computer-Aided Design and Computer Graphics, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/27660038",
"title": "Scale-Invariant Volume Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/27660038/12OmNxb5hu0",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2003/02/v0127",
"title": "Illustrative Interactive Stipple Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2003/02/v0127/13rRUIIVlcA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/09/ttg2011091295",
"title": "Skeleton Cuts—An Efficient Segmentation Method for Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2011/09/ttg2011091295/13rRUxASu0G",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2001/03/v0253",
"title": "Volume Illustration: Nonphotorealistic Rendering of Volume Models",
"doi": null,
"abstractUrl": "/journal/tg/2001/03/v0253/13rRUxbTMyH",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "ttg2010040548",
"articleId": "13rRUy0HYRk",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "ttg2010040531",
"articleId": "13rRUxly9dP",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
{
"issue": {
"id": "12OmNzVoBCJ",
"title": "Jan.-Feb.",
"year": "2019",
"issueNum": "01",
"idPrefix": "cg",
"pubType": "magazine",
"volume": "39",
"label": "Jan.-Feb.",
"downloadables": {
"hasCover": true,
"__typename": "PeriodicalIssueDownloadablesType"
},
"__typename": "PeriodicalIssue"
},
"article": {
"id": "18exxweFx0A",
"doi": "10.1109/MCG.2018.2880818",
"abstract": "The visualization toolkit (VTK) is a popular cross-platform, open source toolkit for scientific and medical data visualization, processing, and analysis. It supports a wide variety of data formats, algorithms, and rendering techniques for both polygonal and volumetric data. In particular, VTK's volume rendering module has long provided a comprehensive set of features such as plane clipping, color and opacity transfer functions, lighting, and other controls needed for visualization. However, due to VTK's legacy OpenGL backend and its reliance on a deprecated API, the system did not take advantage of the latest improvements in graphics hardware or the flexibility of a programmable pipeline. Additionally, this dependence on an antiquated pipeline posed restrictions when running on emerging computing platforms, thereby limiting its overall applicability. In response to these shortcomings, the VTK community developed a new and improved volume rendering module, which not only provides a modern graphics processing unit-based implementation, but also augments its capabilities with new features such as fast volume clipping, gradient-magnitude-based opacity modulation, render to texture, and hardware-based volume picking.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The visualization toolkit (VTK) is a popular cross-platform, open source toolkit for scientific and medical data visualization, processing, and analysis. It supports a wide variety of data formats, algorithms, and rendering techniques for both polygonal and volumetric data. In particular, VTK's volume rendering module has long provided a comprehensive set of features such as plane clipping, color and opacity transfer functions, lighting, and other controls needed for visualization. However, due to VTK's legacy OpenGL backend and its reliance on a deprecated API, the system did not take advantage of the latest improvements in graphics hardware or the flexibility of a programmable pipeline. Additionally, this dependence on an antiquated pipeline posed restrictions when running on emerging computing platforms, thereby limiting its overall applicability. In response to these shortcomings, the VTK community developed a new and improved volume rendering module, which not only provides a modern graphics processing unit-based implementation, but also augments its capabilities with new features such as fast volume clipping, gradient-magnitude-based opacity modulation, render to texture, and hardware-based volume picking.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The visualization toolkit (VTK) is a popular cross-platform, open source toolkit for scientific and medical data visualization, processing, and analysis. It supports a wide variety of data formats, algorithms, and rendering techniques for both polygonal and volumetric data. In particular, VTK's volume rendering module has long provided a comprehensive set of features such as plane clipping, color and opacity transfer functions, lighting, and other controls needed for visualization. However, due to VTK's legacy OpenGL backend and its reliance on a deprecated API, the system did not take advantage of the latest improvements in graphics hardware or the flexibility of a programmable pipeline. Additionally, this dependence on an antiquated pipeline posed restrictions when running on emerging computing platforms, thereby limiting its overall applicability. In response to these shortcomings, the VTK community developed a new and improved volume rendering module, which not only provides a modern graphics processing unit-based implementation, but also augments its capabilities with new features such as fast volume clipping, gradient-magnitude-based opacity modulation, render to texture, and hardware-based volume picking.",
"title": "Cross-Platform Ubiquitous Volume Rendering Using Programmable Shaders in VTK for Scientific and Medical Visualization",
"normalizedTitle": "Cross-Platform Ubiquitous Volume Rendering Using Programmable Shaders in VTK for Scientific and Medical Visualization",
"fno": "08663650",
"hasPdf": true,
"idPrefix": "cg",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Image Texture",
"Medical Computing",
"Opacity",
"Optical Transfer Function",
"Pipeline Processing",
"Rendering Computer Graphics",
"Ubiquitous Computing",
"Cross Platform Ubiquitous Volume",
"Programmable Shaders",
"Medical Visualization",
"Visualization Toolkit",
"Medical Data Visualization",
"Data Formats",
"Polygonal Data",
"Volumetric Data",
"Plane Clipping",
"Opacity Transfer Functions",
"Deprecated API",
"Graphics Hardware",
"Programmable Pipeline",
"VTK Community",
"Fast Volume Clipping",
"Gradient Magnitude Based Opacity Modulation",
"Hardware Based Volume Picking",
"Computing Platforms",
"VTK Legacy Open GL Backend",
"Scientific Visualization",
"Cross Platform Open Source Toolkit",
"Scientific Data Visualization",
"VTK Volume Rendering Module",
"Data Processing",
"Data Analysis",
"Modern Graphics Processing Unit Based Implementation",
"Render To Texture",
"Rendering Computer Graphics",
"Data Visualization",
"Graphics Processing Units",
"Rendering Computer Graphics",
"Image Color Analysis",
"Transfer Functions",
"Open Source Software"
],
"authors": [
{
"givenName": "Aashish",
"surname": "Chaudhary",
"fullName": "Aashish Chaudhary",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Sankhesh J.",
"surname": "Jhaveri",
"fullName": "Sankhesh J. Jhaveri",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Alvaro",
"surname": "Sanchez",
"fullName": "Alvaro Sanchez",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Lisa S.",
"surname": "Avila",
"fullName": "Lisa S. Avila",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Kenneth M.",
"surname": "Martin",
"fullName": "Kenneth M. Martin",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Allison",
"surname": "Vacanti",
"fullName": "Allison Vacanti",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Marcus D.",
"surname": "Hanwell",
"fullName": "Marcus D. Hanwell",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Will",
"surname": "Schroeder",
"fullName": "Will Schroeder",
"affiliation": "Kitware, Inc.",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
"showBuyMe": true,
"showRecommendedArticles": true,
"isOpenAccess": false,
"issueNum": "01",
"pubDate": "2019-01-01 00:00:00",
"pubType": "mags",
"pages": "26-43",
"year": "2019",
"issn": "0272-1716",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"recommendedArticles": [
{
"id": "proceedings/visual/1990/2083/0/00146362",
"title": "A procedural interface for volume rendering",
"doi": null,
"abstractUrl": "/proceedings-article/visual/1990/00146362/12OmNApLGMS",
"parentPublication": {
"id": "proceedings/visual/1990/2083/0",
"title": "1990 First IEEE Conference on Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isdea/2013/4893/0/06455193",
"title": "Volume Rendering of Ultrasonic Sequential Images Based on Resampled Data",
"doi": null,
"abstractUrl": "/proceedings-article/isdea/2013/06455193/12OmNBQkx1D",
"parentPublication": {
"id": "proceedings/isdea/2013/4893/0",
"title": "2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA 2013)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2003/2030/0/20300042",
"title": "Empty Space Skipping and Occlusion Clipping for Texture-based Volume Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2003/20300042/12OmNCcbDXQ",
"parentPublication": {
"id": "proceedings/ieee-vis/2003/2030/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2017/6647/0/07892246",
"title": "Enhancements to VTK enabling scientific visualization in immersive environments",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2017/07892246/12OmNvmG7ZP",
"parentPublication": {
"id": "proceedings/vr/2017/6647/0",
"title": "2017 IEEE Virtual Reality (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cis/2010/4297/0/4297a258",
"title": "A New Volume Rendering Algorithm of Data Field",
"doi": null,
"abstractUrl": "/proceedings-article/cis/2010/4297a258/12OmNwpoFHz",
"parentPublication": {
"id": "proceedings/cis/2010/4297/0",
"title": "2010 International Conference on Computational Intelligence and Security",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/01532808",
"title": "Scale-invariant volume rendering",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/01532808/12OmNyoAA5X",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/06/v1559",
"title": "Illustrative Context-Preserving Exploration of Volume Data",
"doi": null,
"abstractUrl": "/journal/tg/2006/06/v1559/13rRUNvyata",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/04/ttg2010040560",
"title": "Per-Pixel Opacity Modulation for Feature Enhancement in Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2010/04/ttg2010040560/13rRUxOdD8f",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/04/08316963",
"title": "A Generative Model for Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2019/04/08316963/181W9oUhqP9",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222562",
"title": "Homomorphic-Encrypted Volume Rendering",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222562/1nTqvh6tnr2",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"adjacentArticles": {
"previous": {
"fno": "08663522",
"articleId": "18exz8mOsPC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08663651",
"articleId": "18exwNQIsX6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"webExtras": [],
"articleVideos": []
}
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.