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{ "issue": { "id": "12OmNC36tSf", "title": "Aug.", "year": "2013", "issueNum": "08", "idPrefix": "tg", "pubType": "journal", "volume": "19", "label": "Aug.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwI5U7X", "doi": "10.1109/TVCG.2012.316", "abstract": "The Helmholtz-Hodge Decomposition (HHD) describes the decomposition of a flow field into its divergence-free and curl-free components. Many researchers in various communities like weather modeling, oceanology, geophysics, and computer graphics are interested in understanding the properties of flow representing physical phenomena such as incompressibility and vorticity. The HHD has proven to be an important tool in the analysis of fluids, making it one of the fundamental theorems in fluid dynamics. The recent advances in the area of flow analysis have led to the application of the HHD in a number of research communities such as flow visualization, topological analysis, imaging, and robotics. However, because the initial body of work, primarily in the physics communities, research on the topic has become fragmented with different communities working largely in isolation often repeating and sometimes contradicting each others results. Additionally, different nomenclature has evolved which further obscures the fundamental connections between fields making the transfer of knowledge difficult. This survey attempts to address these problems by collecting a comprehensive list of relevant references and examining them using a common terminology. A particular focus is the discussion of boundary conditions when computing the HHD. The goal is to promote further research in the field by creating a common repository of techniques to compute the HHD as well as a large collection of example applications in a broad range of areas.", "abstracts": [ { "abstractType": "Regular", "content": "The Helmholtz-Hodge Decomposition (HHD) describes the decomposition of a flow field into its divergence-free and curl-free components. Many researchers in various communities like weather modeling, oceanology, geophysics, and computer graphics are interested in understanding the properties of flow representing physical phenomena such as incompressibility and vorticity. The HHD has proven to be an important tool in the analysis of fluids, making it one of the fundamental theorems in fluid dynamics. The recent advances in the area of flow analysis have led to the application of the HHD in a number of research communities such as flow visualization, topological analysis, imaging, and robotics. However, because the initial body of work, primarily in the physics communities, research on the topic has become fragmented with different communities working largely in isolation often repeating and sometimes contradicting each others results. Additionally, different nomenclature has evolved which further obscures the fundamental connections between fields making the transfer of knowledge difficult. This survey attempts to address these problems by collecting a comprehensive list of relevant references and examining them using a common terminology. A particular focus is the discussion of boundary conditions when computing the HHD. The goal is to promote further research in the field by creating a common repository of techniques to compute the HHD as well as a large collection of example applications in a broad range of areas.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The Helmholtz-Hodge Decomposition (HHD) describes the decomposition of a flow field into its divergence-free and curl-free components. Many researchers in various communities like weather modeling, oceanology, geophysics, and computer graphics are interested in understanding the properties of flow representing physical phenomena such as incompressibility and vorticity. The HHD has proven to be an important tool in the analysis of fluids, making it one of the fundamental theorems in fluid dynamics. The recent advances in the area of flow analysis have led to the application of the HHD in a number of research communities such as flow visualization, topological analysis, imaging, and robotics. However, because the initial body of work, primarily in the physics communities, research on the topic has become fragmented with different communities working largely in isolation often repeating and sometimes contradicting each others results. Additionally, different nomenclature has evolved which further obscures the fundamental connections between fields making the transfer of knowledge difficult. This survey attempts to address these problems by collecting a comprehensive list of relevant references and examining them using a common terminology. A particular focus is the discussion of boundary conditions when computing the HHD. The goal is to promote further research in the field by creating a common repository of techniques to compute the HHD as well as a large collection of example applications in a broad range of areas.", "title": "The Helmholtz-Hodge Decomposition—A Survey", "normalizedTitle": "The Helmholtz-Hodge Decomposition—A Survey", "fno": "ttg2013081386", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Vectors", "Communities", "Boundary Conditions", "Visualization", "Physics", "Conferences", "Helmholtz Hodge Decomposition", "Vector Fields", "Incompressibility", "Boundary Conditions" ], "authors": [ { "givenName": "H.", "surname": "Bhatia", "fullName": "H. Bhatia", "affiliation": "Lawrence Livermore Nat. Lab., Univ. of Utah, Livermore, CA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "G.", "surname": "Norgard", "fullName": "G. Norgard", "affiliation": "Numerica, Fort Collins, CO, USA", "__typename": "ArticleAuthorType" }, { "givenName": "V.", "surname": "Pascucci", "fullName": "V. Pascucci", "affiliation": "Sci. Comput. & Imaging Inst. (SCI), Univ. of Utah, Salt Lake City, UT, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Peer-Timo", "surname": "Bremer", "fullName": "Peer-Timo Bremer", "affiliation": "Lawrence Livermore Nat. Lab., Univ. of Utah, Livermore, CA, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "08", "pubDate": "2013-08-01 00:00:00", "pubType": "trans", "pages": "1386-1404", "year": "2013", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/ssst/1991/2190/0/00138595", "title": "Helmholtz decomposition of surface electric current in electromagnetic scattering problems", "doi": null, "abstractUrl": "/proceedings-article/ssst/1991/00138595/12OmNApLGtx", "parentPublication": { "id": "proceedings/ssst/1991/2190/0", "title": "The Twenty-Third Southeastern Symposium on System Theory", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cis/2014/7434/0/7434a343", "title": "The Hilbert Boundary Value Problem for Beltrami Equation in Clifford Analysis", "doi": null, "abstractUrl": "/proceedings-article/cis/2014/7434a343/12OmNBKmXnZ", "parentPublication": { "id": "proceedings/cis/2014/7434/0", "title": "2014 Tenth International Conference on Computational Intelligence and Security (CIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/asia/2009/3910/0/3910a157", "title": "Helmholtz Equation and Visualization", "doi": null, "abstractUrl": "/proceedings-article/asia/2009/3910a157/12OmNwHyZZC", "parentPublication": { "id": "proceedings/asia/2009/3910/0", "title": "2009 International Asia Symposium on Intelligent Interaction and Affective Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmew/2014/4717/0/06890546", "title": "Feature extraction of complex ocean flow field using the helmholtz-hodge decomposition", "doi": null, "abstractUrl": "/proceedings-article/icmew/2014/06890546/12OmNxA3YZS", "parentPublication": { "id": "proceedings/icmew/2014/4717/0", "title": "2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cs/2013/05/mcs2013050042", "title": "Discrete Hodge Theory on Graphs: A Tutorial", "doi": null, "abstractUrl": "/magazine/cs/2013/05/mcs2013050042/13rRUILLkzl", "parentPublication": { "id": "mags/cs", "title": "Computing in Science & Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/02/ttg2010020338", "title": "Meshless Helmholtz-Hodge Decomposition", "doi": null, "abstractUrl": "/journal/tg/2010/02/ttg2010020338/13rRUwI5TXw", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/11/06774477", "title": "The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis", "doi": null, "abstractUrl": "/journal/tg/2014/11/06774477/13rRUxYrbUJ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/03/ttg2013030527", "title": "Comments on the \"Meshless Helmholtz-Hodge Decomposition\"", "doi": null, "abstractUrl": "/journal/tg/2013/03/ttg2013030527/13rRUyYSWsU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/big-data/2021/3902/0/09671805", "title": "Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory", "doi": null, "abstractUrl": "/proceedings-article/big-data/2021/09671805/1A8hdZ7oTKM", "parentPublication": { "id": "proceedings/big-data/2021/3902/0", "title": "2021 IEEE International Conference on Big Data (Big Data)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/02/09166766", "title": "Meshless Approximation and Helmholtz-Hodge Decomposition of Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2022/02/09166766/1mgaO3cO3aU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2013081375", "articleId": "13rRUxC0SWa", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2013081405", "articleId": "13rRUxD9h59", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNzwpU9K", "title": "Nov.", "year": "2014", "issueNum": "11", "idPrefix": "tg", "pubType": "journal", "volume": "20", "label": "Nov.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxYrbUJ", "doi": "10.1109/TVCG.2014.2312012", "abstract": "The Helmholtz-Hodge decomposition (HHD), which describes a flow as the sum of an incompressible, an irrotational, and a harmonic flow, is a fundamental tool for simulation and analysis. Unfortunately, for bounded domains, the HHD is not uniquely defined, traditionally, boundary conditions are imposed to obtain a unique solution. However, in general, the boundary conditions used during the simulation may not be known known, or the simulation may use open boundary conditions. In these cases, the flow imposed by traditional boundary conditions may not be compatible with the given data, which leads to sometimes drastic artifacts and distortions in all three components, hence producing unphysical results. This paper proposes the natural HHD, which is defined by separating the flow into internal and external components. Using a completely data-driven approach, the proposed technique obtains uniqueness without assuming boundary conditions a priori. As a result, it enables a reliable and artifact-free analysis for flows with open boundaries or unknown boundary conditions. Furthermore, our approach computes the HHD on a point-wise basis in contrast to the existing global techniques, and thus supports computing inexpensive local approximations for any subset of the domain. Finally, the technique is easy to implement for a variety of spatial discretizations and interpolated fields in both two and three dimensions.", "abstracts": [ { "abstractType": "Regular", "content": "The Helmholtz-Hodge decomposition (HHD), which describes a flow as the sum of an incompressible, an irrotational, and a harmonic flow, is a fundamental tool for simulation and analysis. Unfortunately, for bounded domains, the HHD is not uniquely defined, traditionally, boundary conditions are imposed to obtain a unique solution. However, in general, the boundary conditions used during the simulation may not be known known, or the simulation may use open boundary conditions. In these cases, the flow imposed by traditional boundary conditions may not be compatible with the given data, which leads to sometimes drastic artifacts and distortions in all three components, hence producing unphysical results. This paper proposes the natural HHD, which is defined by separating the flow into internal and external components. Using a completely data-driven approach, the proposed technique obtains uniqueness without assuming boundary conditions a priori. As a result, it enables a reliable and artifact-free analysis for flows with open boundaries or unknown boundary conditions. Furthermore, our approach computes the HHD on a point-wise basis in contrast to the existing global techniques, and thus supports computing inexpensive local approximations for any subset of the domain. Finally, the technique is easy to implement for a variety of spatial discretizations and interpolated fields in both two and three dimensions.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The Helmholtz-Hodge decomposition (HHD), which describes a flow as the sum of an incompressible, an irrotational, and a harmonic flow, is a fundamental tool for simulation and analysis. Unfortunately, for bounded domains, the HHD is not uniquely defined, traditionally, boundary conditions are imposed to obtain a unique solution. However, in general, the boundary conditions used during the simulation may not be known known, or the simulation may use open boundary conditions. In these cases, the flow imposed by traditional boundary conditions may not be compatible with the given data, which leads to sometimes drastic artifacts and distortions in all three components, hence producing unphysical results. This paper proposes the natural HHD, which is defined by separating the flow into internal and external components. Using a completely data-driven approach, the proposed technique obtains uniqueness without assuming boundary conditions a priori. As a result, it enables a reliable and artifact-free analysis for flows with open boundaries or unknown boundary conditions. Furthermore, our approach computes the HHD on a point-wise basis in contrast to the existing global techniques, and thus supports computing inexpensive local approximations for any subset of the domain. Finally, the technique is easy to implement for a variety of spatial discretizations and interpolated fields in both two and three dimensions.", "title": "The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis", "normalizedTitle": "The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis", "fno": "06774477", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Computational Fluid Dynamics", "Flow Simulation", "Spatial Discretizations", "Interpolated Fields", "Distortions", "Inexpensive Local Approximations", "Point Wise Basis", "Unknown Boundary Conditions", "Artifact Free Analysis", "Data Driven Approach", "Boundary Conditions", "Irrotational Flow", "Incompressible Flow", "Harmonic Flow", "HHD", "Open Boundary Flow Analysis", "Natural Helmholtz Hodge Decomposition", "Boundary Conditions", "Harmonic Analysis", "Poisson Equations", "Computational Modeling", "Greens Function Methods", "The Helmholtz Hodge Decomposition", "Vector Fields", "Boundary Conditions", "Uniqueness", "Harmonic Flows" ], "authors": [ { "givenName": "Harsh", "surname": "Bhatia", "fullName": "Harsh Bhatia", "affiliation": "Scientific Computing and Imaging Institute, University of Utah, Salt Lake City", "__typename": "ArticleAuthorType" }, { "givenName": "Valerio", "surname": "Pascucci", "fullName": "Valerio Pascucci", "affiliation": "Scientific Computing and Imaging Institute, University of Utah, Salt Lake City", "__typename": "ArticleAuthorType" }, { "givenName": "Peer-Timo", "surname": "Bremer", "fullName": "Peer-Timo Bremer", "affiliation": "Scientific Computing and Imaging Institute, University of Utah, Salt Lake City", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "11", "pubDate": "2014-11-01 00:00:00", "pubType": "trans", "pages": "1566-1578", "year": "2014", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icdh/2014/4284/0/4284a101", "title": "Image Edit by Boundary Difference Propagation", "doi": null, "abstractUrl": "/proceedings-article/icdh/2014/4284a101/12OmNAhxjB9", "parentPublication": { "id": "proceedings/icdh/2014/4284/0", "title": "2014 5th International Conference on Digital Home (ICDH)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/1991/2148/0/00139751", "title": "Boundary element methods for solving Poisson equations in computer vision problems", "doi": null, "abstractUrl": "/proceedings-article/cvpr/1991/00139751/12OmNBd9T57", "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/icqnm/2010/3952/0/3952a096", "title": "Combination of Boundary Singularity and Direct Simulation Monte Carlo Methods for Nano-scale Flows", "doi": null, "abstractUrl": "/proceedings-article/icqnm/2010/3952a096/12OmNrNh0DY", "parentPublication": { "id": "proceedings/icqnm/2010/3952/0", "title": "Quantum, Nano, and Micro Technologies, First International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/csie/2009/3507/2/3507b186", "title": "A Novel Method for Boundary Condition Computation in Soft Tissue Deformation", "doi": null, "abstractUrl": "/proceedings-article/csie/2009/3507b186/12OmNrYlmOp", "parentPublication": { "id": "proceedings/csie/2009/3507/2", "title": "Computer Science and Information Engineering, World Congress on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmew/2014/4717/0/06890546", "title": "Feature extraction of complex ocean flow field using the helmholtz-hodge decomposition", "doi": null, "abstractUrl": "/proceedings-article/icmew/2014/06890546/12OmNxA3YZS", "parentPublication": { "id": "proceedings/icmew/2014/4717/0", "title": "2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/08/ttg2013081386", "title": "The Helmholtz-Hodge Decomposition—A Survey", "doi": null, "abstractUrl": "/journal/tg/2013/08/ttg2013081386/13rRUwI5U7X", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/08/06171181", "title": "A Multigrid Fluid Pressure Solver Handling Separating Solid Boundary Conditions", "doi": null, "abstractUrl": "/journal/tg/2012/08/06171181/13rRUxlgxTi", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/03/ttg2013030527", "title": "Comments on the \"Meshless Helmholtz-Hodge Decomposition\"", "doi": null, "abstractUrl": "/journal/tg/2013/03/ttg2013030527/13rRUyYSWsU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hipcw/2018/0114/0/08634138", "title": "Acceleration of a 3D Immersed Boundary Solver Using OpenACC", "doi": null, "abstractUrl": "/proceedings-article/hipcw/2018/08634138/17D45WXIkIl", "parentPublication": { "id": "proceedings/hipcw/2018/0114/0", "title": "2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/02/09166766", "title": "Meshless Approximation and Helmholtz-Hodge Decomposition of Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2022/02/09166766/1mgaO3cO3aU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "06851204", "articleId": "13rRUEgarBv", "__typename": "AdjacentArticleType" }, "next": { "fno": "06811174", "articleId": "13rRUxNmPDU", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNqJZgIg", "title": "May/June", "year": "2006", "issueNum": "03", "idPrefix": "tg", "pubType": "journal", "volume": "12", "label": "May/June", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxcbnCj", "doi": "10.1109/TVCG.2006.54", "abstract": "Abstract—In this paper, we propose an approach for 2D discrete vector field segmentation based on the Green function and normalized cut. The method is inspired by discrete Hodge Decomposition such that a discrete vector field can be broken down into three simpler components, namely, curl-free, divergence-free, and harmonic components. We show that the Green Function Method (GFM) can be used to approximate the curl-free and the divergence-free components to achieve our goal of the vector field segmentation. The final segmentation curves that represent the boundaries of the influence region of singularities are obtained from the optimal vector field segmentations. These curves are composed of piecewise smooth contours or streamlines. Our method is applicable to both linear and nonlinear discrete vector fields. Experiments show that the segmentations obtained using our approach essentially agree with human perceptual judgement.", "abstracts": [ { "abstractType": "Regular", "content": "Abstract—In this paper, we propose an approach for 2D discrete vector field segmentation based on the Green function and normalized cut. The method is inspired by discrete Hodge Decomposition such that a discrete vector field can be broken down into three simpler components, namely, curl-free, divergence-free, and harmonic components. We show that the Green Function Method (GFM) can be used to approximate the curl-free and the divergence-free components to achieve our goal of the vector field segmentation. The final segmentation curves that represent the boundaries of the influence region of singularities are obtained from the optimal vector field segmentations. These curves are composed of piecewise smooth contours or streamlines. Our method is applicable to both linear and nonlinear discrete vector fields. Experiments show that the segmentations obtained using our approach essentially agree with human perceptual judgement.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Abstract—In this paper, we propose an approach for 2D discrete vector field segmentation based on the Green function and normalized cut. The method is inspired by discrete Hodge Decomposition such that a discrete vector field can be broken down into three simpler components, namely, curl-free, divergence-free, and harmonic components. We show that the Green Function Method (GFM) can be used to approximate the curl-free and the divergence-free components to achieve our goal of the vector field segmentation. The final segmentation curves that represent the boundaries of the influence region of singularities are obtained from the optimal vector field segmentations. These curves are composed of piecewise smooth contours or streamlines. Our method is applicable to both linear and nonlinear discrete vector fields. Experiments show that the segmentations obtained using our approach essentially agree with human perceptual judgement.", "title": "Segmentation of Discrete Vector Fields", "normalizedTitle": "Segmentation of Discrete Vector Fields", "fno": "v0289", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Vectors", "Green Function", "Computational Fluid Dynamics", "Shape Measurement", "Humans", "Data Visualization", "Computational Modeling", "Merging", "Principal Component Analysis", "Clustering Methods", "Approximation", "Hodge Decomposition", "Green Function Method", "Normalized Cut", "Vector Field Segmentation", "Streamline", "Contour" ], "authors": [ { "givenName": "Hongyu", "surname": "Li", "fullName": "Hongyu Li", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Wenbin", "surname": "Chen", "fullName": "Wenbin Chen", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "I-Fan", "surname": "Shen", "fullName": "I-Fan Shen", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "03", "pubDate": "2006-05-01 00:00:00", "pubType": "trans", "pages": "289-300", "year": "2006", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/sibgrapi/2015/7962/0/7962a250", "title": "Exploratory Segmentation of Vector Fields Using Multidimensional Projection", "doi": null, "abstractUrl": "/proceedings-article/sibgrapi/2015/7962a250/12OmNBLdKJ0", "parentPublication": { "id": "proceedings/sibgrapi/2015/7962/0", "title": "2015 28th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/1997/7822/0/78220738", "title": "Scale-Space Vector Fields for Feature Analysis", "doi": null, "abstractUrl": "/proceedings-article/cvpr/1997/78220738/12OmNBh8h1D", "parentPublication": { "id": "proceedings/cvpr/1997/7822/0", "title": "Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2009/3992/0/05206555", "title": "A distribution-based approach to tracking points in velocity vector fields", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2009/05206555/12OmNzvhvCZ", "parentPublication": { "id": "proceedings/cvpr/2009/3992/0", "title": "2009 IEEE Conference on Computer Vision and Pattern Recognition", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icip/1997/8183/1/81831476", "title": "Reconstruction of vector fields in bounded domain vector tomography", "doi": null, "abstractUrl": "/proceedings-article/icip/1997/81831476/12OmNzyp5Zk", "parentPublication": { "id": "proceedings/icip/1997/8183/1", "title": "Image Processing, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cs/2013/05/mcs2013050042", "title": "Discrete Hodge Theory on Graphs: A Tutorial", "doi": null, "abstractUrl": "/magazine/cs/2013/05/mcs2013050042/13rRUILLkzl", "parentPublication": { "id": "mags/cs", "title": "Computing in Science & Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/02/ttg2010020338", "title": "Meshless Helmholtz-Hodge Decomposition", "doi": null, "abstractUrl": "/journal/tg/2010/02/ttg2010020338/13rRUwI5TXw", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2008/06/ttg2008061404", "title": "Generation of Accurate Integral Surfaces in Time-Dependent Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2008/06/ttg2008061404/13rRUwjXZS7", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2004/02/v0198", "title": "Topological Segmentation in Three-Dimensional Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2004/02/v0198/13rRUxAASVM", "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" }, { "id": "proceedings/sibgrapi/2018/9264/0/926400a337", "title": "Inverse Projection of Vector Fields", "doi": null, "abstractUrl": "/proceedings-article/sibgrapi/2018/926400a337/17D45XeKgmH", "parentPublication": { "id": "proceedings/sibgrapi/2018/9264/0", "title": "2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": null, "next": { "fno": "v0301", "articleId": "13rRUILLkvh", "__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": "13rRUyYSWsU", "doi": "10.1109/TVCG.2012.62", "abstract": "The Helmholtz-Hodge decomposition (HHD) is one of the fundamental theorems of fluids describing the decomposition of a flow field into its divergence-free, curl-free, and harmonic components. Solving for the HHD is intimately connected to the choice of boundary conditions which determine the uniqueness and orthogonality of the decomposition. This article points out that one of the boundary conditions used in a recent paper “Meshless Helmholtz-Hodge Decomposition” [5] is, in general, invalid and provides an analytical example demonstrating the problem. We hope that this clarification on the theory will foster further research in this area and prevent undue problems in applying and extending the original approach.", "abstracts": [ { "abstractType": "Regular", "content": "The Helmholtz-Hodge decomposition (HHD) is one of the fundamental theorems of fluids describing the decomposition of a flow field into its divergence-free, curl-free, and harmonic components. Solving for the HHD is intimately connected to the choice of boundary conditions which determine the uniqueness and orthogonality of the decomposition. This article points out that one of the boundary conditions used in a recent paper “Meshless Helmholtz-Hodge Decomposition” [5] is, in general, invalid and provides an analytical example demonstrating the problem. We hope that this clarification on the theory will foster further research in this area and prevent undue problems in applying and extending the original approach.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The Helmholtz-Hodge decomposition (HHD) is one of the fundamental theorems of fluids describing the decomposition of a flow field into its divergence-free, curl-free, and harmonic components. Solving for the HHD is intimately connected to the choice of boundary conditions which determine the uniqueness and orthogonality of the decomposition. This article points out that one of the boundary conditions used in a recent paper “Meshless Helmholtz-Hodge Decomposition” [5] is, in general, invalid and provides an analytical example demonstrating the problem. We hope that this clarification on the theory will foster further research in this area and prevent undue problems in applying and extending the original approach.", "title": "Comments on the \"Meshless Helmholtz-Hodge Decomposition\"", "normalizedTitle": "Comments on the \"Meshless Helmholtz-Hodge Decomposition\"", "fno": "ttg2013030527", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Boundary Conditions", "Harmonic Analysis", "Computational Modeling", "Helmholtz Hodge Decomposition", "Vector Fields", "Boundary Conditions" ], "authors": [ { "givenName": "H.", "surname": "Bhatia", "fullName": "H. Bhatia", "affiliation": "Sci. Comput. & Imaging Inst., Univ. of Utah, Salt Lake City, UT, USA", "__typename": "ArticleAuthorType" }, { "givenName": "G.", "surname": "Norgard", "fullName": "G. Norgard", "affiliation": "Numerica, Fort Collins, CO, USA", "__typename": "ArticleAuthorType" }, { "givenName": "V.", "surname": "Pascucci", "fullName": "V. Pascucci", "affiliation": "Sci. Comput. & Imaging Inst., Univ. of Utah, Salt Lake City, UT, USA", "__typename": "ArticleAuthorType" }, { "givenName": "P.", "surname": "Bremer", "fullName": "P. Bremer", "affiliation": "Center of Appl. Sci. Comput., Lawrence Livermore Nat. Lab., Livermore, CA, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": false, "showRecommendedArticles": true, "isOpenAccess": true, "issueNum": "03", "pubDate": "2013-03-01 00:00:00", "pubType": "trans", "pages": "527-528", "year": "2013", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/ssst/1991/2190/0/00138595", "title": "Helmholtz decomposition of surface electric current in electromagnetic scattering problems", "doi": null, "abstractUrl": "/proceedings-article/ssst/1991/00138595/12OmNApLGtx", "parentPublication": { "id": "proceedings/ssst/1991/2190/0", "title": "The Twenty-Third Southeastern Symposium on System Theory", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icassp/2009/2353/0/04959742", "title": "An effective flowestimation method with particle filter based on Helmholtz decomposition theorem", "doi": null, "abstractUrl": "/proceedings-article/icassp/2009/04959742/12OmNBpVPXr", "parentPublication": { "id": "proceedings/icassp/2009/2353/0", "title": "Acoustics, Speech, and Signal Processing, IEEE International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cso/2010/6812/1/05532933", "title": "Meshless Virtual Boundary Least-Square Collocation Method for 2-D Elastic Problems", "doi": null, "abstractUrl": "/proceedings-article/cso/2010/05532933/12OmNC3FGjm", "parentPublication": { "id": "proceedings/cso/2010/6812/1", "title": "2010 Third International Joint Conference on Computational Science and Optimization", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmew/2014/4717/0/06890546", "title": "Feature extraction of complex ocean flow field using the helmholtz-hodge decomposition", "doi": null, "abstractUrl": "/proceedings-article/icmew/2014/06890546/12OmNxA3YZS", "parentPublication": { "id": "proceedings/icmew/2014/4717/0", "title": "2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/02/ttg2010020338", "title": "Meshless Helmholtz-Hodge Decomposition", "doi": null, "abstractUrl": "/journal/tg/2010/02/ttg2010020338/13rRUwI5TXw", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/08/ttg2013081386", "title": "The Helmholtz-Hodge Decomposition—A Survey", "doi": null, "abstractUrl": "/journal/tg/2013/08/ttg2013081386/13rRUwI5U7X", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/11/06774477", "title": "The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis", "doi": null, "abstractUrl": "/journal/tg/2014/11/06774477/13rRUxYrbUJ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/jcice/2022/6067/0/606700a202", "title": "Solving Black-Scholes Equation Based on Time Domain Decomposition and Meshless Method", "doi": null, "abstractUrl": "/proceedings-article/jcice/2022/606700a202/1H0KiOoQxuo", "parentPublication": { "id": "proceedings/jcice/2022/6067/0", "title": "2022 International Joint Conference on Information and Communication Engineering (JCICE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/02/09166766", "title": "Meshless Approximation and Helmholtz-Hodge Decomposition of Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2022/02/09166766/1mgaO3cO3aU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ispa-bdcloud-socialcom-sustaincom/2020/1485/0/148500a057", "title": "Discrete Sine and Cosine Transform and Helmholtz Equation Solver on GPU", "doi": null, "abstractUrl": "/proceedings-article/ispa-bdcloud-socialcom-sustaincom/2020/148500a057/1ua4uRRSGAw", "parentPublication": { "id": "proceedings/ispa-bdcloud-socialcom-sustaincom/2020/1485/0", "title": "2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2013030514", "articleId": 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{ "issue": { "id": "1zKXryr0JDG", "title": "Feb.", "year": "2022", "issueNum": "02", "idPrefix": "tg", "pubType": "journal", "volume": "28", "label": "Feb.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1mgaO3cO3aU", "doi": "10.1109/TVCG.2020.3016588", "abstract": "The analysis of vector fields is crucial for the understanding of several physical phenomena, such as natural events (e.g., analysis of waves), diffusive processes, electric and electromagnetic fields. While previous work has been focused mainly on the analysis of 2D or 3D vector fields on volumes or surfaces, we address the meshless analysis of a vector field defined on an arbitrary domain, without assumptions on its dimension and discretisation. The meshless approximation of the Helmholtz-Hodge decomposition of a vector field is achieved by expressing the potential of its components as a linear combination of radial basis functions and by computing the corresponding conservative, irrotational, and harmonic components as solution to a least-squares or to a differential problem. To this end, we identify the conditions on the kernel of the radial basis functions that guarantee the existence of their derivatives. Finally, we demonstrate our approach on 2D and 3D vector fields measured by sensors or generated through simulation.", "abstracts": [ { "abstractType": "Regular", "content": "The analysis of vector fields is crucial for the understanding of several physical phenomena, such as natural events (e.g., analysis of waves), diffusive processes, electric and electromagnetic fields. While previous work has been focused mainly on the analysis of 2D or 3D vector fields on volumes or surfaces, we address the meshless analysis of a vector field defined on an arbitrary domain, without assumptions on its dimension and discretisation. The meshless approximation of the Helmholtz-Hodge decomposition of a vector field is achieved by expressing the potential of its components as a linear combination of radial basis functions and by computing the corresponding conservative, irrotational, and harmonic components as solution to a least-squares or to a differential problem. To this end, we identify the conditions on the kernel of the radial basis functions that guarantee the existence of their derivatives. Finally, we demonstrate our approach on 2D and 3D vector fields measured by sensors or generated through simulation.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The analysis of vector fields is crucial for the understanding of several physical phenomena, such as natural events (e.g., analysis of waves), diffusive processes, electric and electromagnetic fields. While previous work has been focused mainly on the analysis of 2D or 3D vector fields on volumes or surfaces, we address the meshless analysis of a vector field defined on an arbitrary domain, without assumptions on its dimension and discretisation. The meshless approximation of the Helmholtz-Hodge decomposition of a vector field is achieved by expressing the potential of its components as a linear combination of radial basis functions and by computing the corresponding conservative, irrotational, and harmonic components as solution to a least-squares or to a differential problem. To this end, we identify the conditions on the kernel of the radial basis functions that guarantee the existence of their derivatives. Finally, we demonstrate our approach on 2D and 3D vector fields measured by sensors or generated through simulation.", "title": "Meshless Approximation and Helmholtz-Hodge Decomposition of Vector Fields", "normalizedTitle": "Meshless Approximation and Helmholtz-Hodge Decomposition of Vector Fields", "fno": "09166766", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Electromagnetic Fields", "Helmholtz Equations", "Least Squares Approximations", "Radial Basis Function Networks", "Vectors", "Meshless Approximation", "Helmholtz Hodge Decomposition", "Vector Field", "Electric Fields", "Electromagnetic Fields", "Meshless Analysis", "Arbitrary Domain", "Kernel", "Two Dimensional Displays", "Three Dimensional Displays", "Harmonic Analysis", "Rotors", "Boundary Conditions", "Principal Component Analysis", "Vector Fields", "Helmholtz Hodge Decomposition", "Meshless Representations", "Radial Basis Functions" ], "authors": [ { "givenName": "Giuseppe", "surname": "Patané", "fullName": "Giuseppe Patané", "affiliation": "CNR-IMATI, Consiglio Nazionale delle Ricerche, Istituto di Matematica Applicata e Tecnologie Informatiche Genova, Genova, Italy", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": false, "showRecommendedArticles": true, "isOpenAccess": true, "issueNum": "02", "pubDate": "2022-02-01 00:00:00", "pubType": "trans", "pages": "1-14", "year": "2022", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/cso/2010/6812/1/05532933", "title": "Meshless Virtual Boundary Least-Square Collocation Method for 2-D Elastic Problems", "doi": null, "abstractUrl": "/proceedings-article/cso/2010/05532933/12OmNC3FGjm", "parentPublication": { "id": "proceedings/cso/2010/6812/1", "title": "2010 Third International Joint Conference on Computational Science and Optimization", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmew/2014/4717/0/06890546", "title": "Feature extraction of complex ocean flow field using the helmholtz-hodge decomposition", "doi": null, "abstractUrl": "/proceedings-article/icmew/2014/06890546/12OmNxA3YZS", "parentPublication": { "id": "proceedings/icmew/2014/4717/0", "title": "2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dsc/2016/1192/0/1192a456", "title": "Topology Analysis of Vector Fields and Application Prospect", "doi": null, "abstractUrl": "/proceedings-article/dsc/2016/1192a456/12OmNxGja5R", "parentPublication": { "id": "proceedings/dsc/2016/1192/0", "title": "2016 IEEE First International Conference on Data Science in Cyberspace (DSC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cs/2013/05/mcs2013050042", "title": "Discrete Hodge Theory on Graphs: A Tutorial", "doi": null, "abstractUrl": "/magazine/cs/2013/05/mcs2013050042/13rRUILLkzl", "parentPublication": { "id": "mags/cs", "title": "Computing in Science & Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/02/ttg2010020338", "title": "Meshless Helmholtz-Hodge Decomposition", "doi": null, "abstractUrl": "/journal/tg/2010/02/ttg2010020338/13rRUwI5TXw", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/08/ttg2013081386", "title": "The Helmholtz-Hodge Decomposition—A Survey", "doi": null, "abstractUrl": "/journal/tg/2013/08/ttg2013081386/13rRUwI5U7X", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/11/06774477", "title": "The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis", "doi": null, "abstractUrl": "/journal/tg/2014/11/06774477/13rRUxYrbUJ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2006/03/v0289", "title": "Segmentation of Discrete Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2006/03/v0289/13rRUxcbnCj", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/03/ttg2013030527", "title": "Comments on the \"Meshless Helmholtz-Hodge Decomposition\"", "doi": null, "abstractUrl": "/journal/tg/2013/03/ttg2013030527/13rRUyYSWsU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/sibgrapi/2018/9264/0/926400a337", "title": "Inverse Projection of Vector Fields", "doi": null, "abstractUrl": "/proceedings-article/sibgrapi/2018/926400a337/17D45XeKgmH", "parentPublication": { "id": "proceedings/sibgrapi/2018/9264/0", "title": "2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09159927", "articleId": "1m3m77L2v3a", "__typename": "AdjacentArticleType" }, "next": { "fno": "09555238", "articleId": "1xjQWgERshq", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "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": "13rRUwjoNwU", "doi": "10.1109/TVCG.2007.70419", "abstract": null, "abstracts": [ { "abstractType": "Regular", "content": "", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": null, "title": "Guest Editors' Introduction: Special Section on Virtual Reality", "normalizedTitle": "Guest Editors' Introduction: Special Section on Virtual Reality", "fno": "v0420", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Virtual Reality", "Humans", "Haptic Interfaces", "Augmented Reality", "Three Dimensional Displays", "Medical Simulation", "Visualization", "Collaboration", "Olfactory", "Biomedical Optical Imaging" ], "authors": [ { "givenName": "Bernd", "surname": "Fr?hlich", "fullName": "Bernd Fr?hlich", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Doug A.", "surname": "Bowman", "fullName": "Doug A. 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{ "issue": { "id": "12OmNwMob9o", "title": "February", "year": "2009", "issueNum": "02", "idPrefix": "tc", "pubType": "journal", "volume": "58", "label": "February", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxBa5bd", "doi": "10.1109/TC.2009.11", "abstract": null, "abstracts": [ { "abstractType": "Regular", "content": "", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": null, "title": "Guest Editors' Introduction: Special Section on Computer Arithmetic", "normalizedTitle": "Guest Editors' Introduction: Special Section on Computer Arithmetic", "fno": "ttc2009020145", "hasPdf": true, "idPrefix": "tc", "keywords": [], "authors": [ { "givenName": "Peter", "surname": "Kornerup", "fullName": "Peter Kornerup", "affiliation": "University of Southern Denmark, Odense, Denmark", "__typename": "ArticleAuthorType" }, { "givenName": "Paolo", "surname": "Montuschi", "fullName": "Paolo Montuschi", "affiliation": "Politecnico di Torino, Torino, Italy", "__typename": "ArticleAuthorType" }, { "givenName": "Jean-Michel", "surname": "Muller", "fullName": "Jean-Michel Muller", "affiliation": "CNRS, Université de Lyon, France", "__typename": "ArticleAuthorType" }, { "givenName": "Eric", "surname": "Schwarz", "fullName": "Eric Schwarz", "affiliation": "IBM Corporation, NY", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": false, "showRecommendedArticles": true, "isOpenAccess": true, "issueNum": "02", "pubDate": "2009-02-01 00:00:00", "pubType": "trans", "pages": "145-147", "year": "2009", "issn": "0018-9340", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "trans/tg/2012/03/ttg2012030354", "title": "Guest Editors' Introduction: Special Section on ACM VRST", "doi": null, "abstractUrl": "/journal/tg/2012/03/ttg2012030354/13rRUILLkvn", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tc/2012/08/ttc2012081057", "title": "Guest Editors' Introduction: Special Section on Computer Arithmetic", "doi": null, "abstractUrl": "/journal/tc/2012/08/ttc2012081057/13rRUNvyajT", "parentPublication": { "id": "trans/tc", "title": "IEEE Transactions on Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/03/v0420", "title": "Guest Editors' Introduction: Special Section on Virtual Reality", "doi": null, "abstractUrl": "/journal/tg/2007/03/v0420/13rRUwjoNwU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2006/02/v0129", "title": "Guest Editors' Introduction: Special Section on ACM VRST", "doi": null, "abstractUrl": "/journal/tg/2006/02/v0129/13rRUy3gn7n", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tc/2014/08/06857446", "title": "Guest Editors’ Introduction: Special Sectionon Computer Arithmetic", "doi": null, "abstractUrl": "/journal/tc/2014/08/06857446/13rRUyfKIH2", "parentPublication": { "id": "trans/tc", "title": "IEEE Transactions on Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tc/2011/02/ttc2011020145", "title": "Guest Editors' Introduction: Special Section on Computer Arithmetic", "doi": null, "abstractUrl": "/journal/tc/2011/02/ttc2011020145/13rRUyuvRwz", "parentPublication": { "id": "trans/tc", "title": "IEEE Transactions on Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tc/2019/07/08733176", "title": "Guest Editors Introduction: Special Section on Computer Arithmetic", "doi": null, "abstractUrl": "/journal/tc/2019/07/08733176/1aFvsiBlmrS", "parentPublication": { "id": "trans/tc", "title": "IEEE Transactions on Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttc2009020226", "articleId": "13rRUwjGoKW", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttc2009020148", "articleId": "13rRUx0xPm3", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNBsLPeZ", "title": "July", "year": "2019", "issueNum": "07", "idPrefix": "tc", "pubType": "journal", "volume": "68", "label": "July", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1aFvsiBlmrS", "doi": "10.1109/TC.2019.2918447", "abstract": "The papers in this special section examine the concept of computer arithmetic. Many services offered in the palm of our hand by today’s computing devices were undreamt of twenty years ago, and we probably don’t envision what services will be enabled twenty years from now. We even can’t be sure of the technology they will use, if good old silicon integration is no longer able to sustain Moore’s law. However, one can be confident that there will be computers, and that these computers will compute, and that at the core of these computations there will be adders, multipliers, elementary functions and other core arithmetic primitives. Computer arithmetic is the art of designing and using these core arithmetic primitives. It studies the representation of numbers in computers, and the transformation of these “machine numbers”. With the abacus and early mechanical calculators, it actually predates the computing era. Computer arithmetic has accompanied the evolutions of technology (from relays to vacuum tube to transistors and integrated circuits). It has also adapted to the evolution of applications: scientific computing, digital signal processing, cryptography, or machine learning use different kinds of numbers and operations. 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It studies the representation of numbers in computers, and the transformation of these “machine numbers”. With the abacus and early mechanical calculators, it actually predates the computing era. Computer arithmetic has accompanied the evolutions of technology (from relays to vacuum tube to transistors and integrated circuits). It has also adapted to the evolution of applications: scientific computing, digital signal processing, cryptography, or machine learning use different kinds of numbers and operations. Formal proofs involving computer arithmetic components have become a major concern of many other applications.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The papers in this special section examine the concept of computer arithmetic. Many services offered in the palm of our hand by today’s computing devices were undreamt of twenty years ago, and we probably don’t envision what services will be enabled twenty years from now. We even can’t be sure of the technology they will use, if good old silicon integration is no longer able to sustain Moore’s law. However, one can be confident that there will be computers, and that these computers will compute, and that at the core of these computations there will be adders, multipliers, elementary functions and other core arithmetic primitives. Computer arithmetic is the art of designing and using these core arithmetic primitives. It studies the representation of numbers in computers, and the transformation of these “machine numbers”. With the abacus and early mechanical calculators, it actually predates the computing era. Computer arithmetic has accompanied the evolutions of technology (from relays to vacuum tube to transistors and integrated circuits). It has also adapted to the evolution of applications: scientific computing, digital signal processing, cryptography, or machine learning use different kinds of numbers and operations. 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{ "issue": { "id": "12OmNx4Q6DL", "title": "Oct.", "year": "2017", "issueNum": "10", "idPrefix": "tg", "pubType": "journal", "volume": "23", "label": "Oct.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUIJuxvo", "doi": "10.1109/TVCG.2016.2618797", "abstract": "We contribute an investigation of the design and function of word-scale graphics and visualizations embedded in text documents. Word-scale graphics include both data-driven representations such as word-scale visualizations and sparklines, and non-data-driven visual marks. Their design, function, and use has so far received little research attention. We present the results of an open ended exploratory study with nine graphic designers. The study resulted in a rich collection of different types of graphics, data provenance, and relationships between text, graphics, and data. Based on this corpus, we present a systematic overview of word-scale graphic designs, and examine how designers used them. We also discuss the designers’ goals in creating their graphics, and characterize how they used word-scale graphics to visualize data, add emphasis, and create alternative narratives. Building on these examples, we discuss implications for the design of authoring tools for word-scale graphics and visualizations, and explore how new authoring environments could make it easier for designers to integrate them into documents.", "abstracts": [ { "abstractType": "Regular", "content": "We contribute an investigation of the design and function of word-scale graphics and visualizations embedded in text documents. Word-scale graphics include both data-driven representations such as word-scale visualizations and sparklines, and non-data-driven visual marks. Their design, function, and use has so far received little research attention. We present the results of an open ended exploratory study with nine graphic designers. The study resulted in a rich collection of different types of graphics, data provenance, and relationships between text, graphics, and data. Based on this corpus, we present a systematic overview of word-scale graphic designs, and examine how designers used them. We also discuss the designers’ goals in creating their graphics, and characterize how they used word-scale graphics to visualize data, add emphasis, and create alternative narratives. Building on these examples, we discuss implications for the design of authoring tools for word-scale graphics and visualizations, and explore how new authoring environments could make it easier for designers to integrate them into documents.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We contribute an investigation of the design and function of word-scale graphics and visualizations embedded in text documents. Word-scale graphics include both data-driven representations such as word-scale visualizations and sparklines, and non-data-driven visual marks. Their design, function, and use has so far received little research attention. We present the results of an open ended exploratory study with nine graphic designers. The study resulted in a rich collection of different types of graphics, data provenance, and relationships between text, graphics, and data. Based on this corpus, we present a systematic overview of word-scale graphic designs, and examine how designers used them. We also discuss the designers’ goals in creating their graphics, and characterize how they used word-scale graphics to visualize data, add emphasis, and create alternative narratives. Building on these examples, we discuss implications for the design of authoring tools for word-scale graphics and visualizations, and explore how new authoring environments could make it easier for designers to integrate them into documents.", "title": "An Exploratory Study of Word-Scale Graphics in Data-Rich Text Documents", "normalizedTitle": "An Exploratory Study of Word-Scale Graphics in Data-Rich Text Documents", "fno": "07593375", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualization", "Visualization", "Europe", "Encyclopedias", "Electronic Publishing", "Word Scale Visualization", "Word Scale Graphic", "Text Visualization", "Sparklines", "Authoring Tool", "Information Visualization" ], "authors": [ { "givenName": "Pascal", "surname": "Goffin", "fullName": "Pascal Goffin", "affiliation": "Inria, France", "__typename": "ArticleAuthorType" }, { "givenName": "Jeremy", "surname": "Boy", "fullName": "Jeremy Boy", "affiliation": "UN Global Pulse, New York, NY", "__typename": "ArticleAuthorType" }, { "givenName": "Wesley", "surname": "Willett", "fullName": "Wesley Willett", "affiliation": "University of Calgary, Calgary, AB, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Petra", "surname": "Isenberg", "fullName": "Petra Isenberg", "affiliation": "Inria, France", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "10", "pubDate": "2017-10-01 00:00:00", "pubType": "trans", "pages": "2275-2287", "year": "2017", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icdm/2016/5473/0/07837989", "title": "Topic Discovery for Short Texts Using Word Embeddings", "doi": null, "abstractUrl": "/proceedings-article/icdm/2016/07837989/12OmNAWpywe", "parentPublication": { "id": "proceedings/icdm/2016/5473/0", "title": "2016 IEEE 16th International 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"RecommendedArticleType" }, { "id": "proceedings/ichi/2016/6117/0/6117a527", "title": "Analyzing Multiple Medical Corpora Using Word Embedding", "doi": null, "abstractUrl": "/proceedings-article/ichi/2016/6117a527/12OmNzmclJ2", "parentPublication": { "id": "proceedings/ichi/2016/6117/0", "title": "2016 IEEE International Conference on Healthcare Informatics (ICHI)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/12/06875917", "title": "Exploring the Placement and Design of Word-Scale Visualizations", "doi": null, "abstractUrl": "/journal/tg/2014/12/06875917/13rRUwfZC0i", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2012/05/mcg2012050098", "title": "Graphics Performance in Rich Internet Applications", "doi": null, "abstractUrl": "/magazine/cg/2012/05/mcg2012050098/13rRUxly9gh", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07864462", "title": "Word-Sized Graphics for Scientific Texts", "doi": null, "abstractUrl": "/journal/tg/2017/06/07864462/13rRUyoPSP8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2018/7202/0/720200a459", "title": "Visualizing Art Historical Developments Using the Getty ULAN, Wikipedia and Wikidata", "doi": null, "abstractUrl": "/proceedings-article/iv/2018/720200a459/17D45WaTkdt", "parentPublication": { "id": "proceedings/iv/2018/7202/0", "title": "2018 22nd International Conference Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": 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{ "issue": { "id": "12OmNyRxFj0", "title": "March", "year": "2018", "issueNum": "03", "idPrefix": "tg", "pubType": "journal", "volume": "24", "label": "March", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxly9e0", "doi": "10.1109/TVCG.2017.2680452", "abstract": "User interfaces for data visualization often consist of two main components: control panels for user interaction and visual representation. A recent trend in visualization is directly embedding user interaction into the visual representations. For example, instead of using control panels to adjust visualization parameters, users can directly adjust basic graphical encodings (e.g., changing distances between points in a scatterplot) to perform similar parameterizations. However, enabling embedded interactions for data visualization requires a strong understanding of how user interactions influence the ability to accurately control and perceive graphical encodings. In this paper, we study the effectiveness of these graphical encodings when serving as the method for interaction. Our user study includes 12 interactive graphical encodings. We discuss the results in terms of task performance and interaction effectiveness metrics.", "abstracts": [ { "abstractType": "Regular", "content": "User interfaces for data visualization often consist of two main components: control panels for user interaction and visual representation. A recent trend in visualization is directly embedding user interaction into the visual representations. For example, instead of using control panels to adjust visualization parameters, users can directly adjust basic graphical encodings (e.g., changing distances between points in a scatterplot) to perform similar parameterizations. However, enabling embedded interactions for data visualization requires a strong understanding of how user interactions influence the ability to accurately control and perceive graphical encodings. In this paper, we study the effectiveness of these graphical encodings when serving as the method for interaction. Our user study includes 12 interactive graphical encodings. We discuss the results in terms of task performance and interaction effectiveness metrics.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "User interfaces for data visualization often consist of two main components: control panels for user interaction and visual representation. A recent trend in visualization is directly embedding user interaction into the visual representations. For example, instead of using control panels to adjust visualization parameters, users can directly adjust basic graphical encodings (e.g., changing distances between points in a scatterplot) to perform similar parameterizations. However, enabling embedded interactions for data visualization requires a strong understanding of how user interactions influence the ability to accurately control and perceive graphical encodings. In this paper, we study the effectiveness of these graphical encodings when serving as the method for interaction. Our user study includes 12 interactive graphical encodings. We discuss the results in terms of task performance and interaction effectiveness metrics.", "title": "Evaluating Interactive Graphical Encodings for Data Visualization", "normalizedTitle": "Evaluating Interactive Graphical Encodings for Data Visualization", "fno": "07875127", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Encoding", "Data Visualization", "Bars", "Visualization", "Computational Modeling", "Estimation", "Information Visualization", "User Interaction", "Graphical Encodings", "Graphical Perception" ], "authors": [ { "givenName": "Bahador", "surname": "Saket", "fullName": "Bahador Saket", "affiliation": "Georgia Tech, Atlanta, GA", "__typename": "ArticleAuthorType" }, { "givenName": "Arjun", "surname": "Srinivasan", "fullName": "Arjun Srinivasan", "affiliation": "Georgia Tech, Atlanta, GA", "__typename": "ArticleAuthorType" }, { "givenName": "Eric D.", "surname": "Ragan", "fullName": "Eric D. Ragan", "affiliation": "Texas A&M University, College Station, TX", "__typename": "ArticleAuthorType" }, { "givenName": "Alex", "surname": "Endert", "fullName": "Alex Endert", "affiliation": "Georgia Tech, Atlanta, GA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "03", "pubDate": "2018-03-01 00:00:00", "pubType": "trans", "pages": "1316-1330", "year": "2018", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/wvl/1990/2090/0/00128404", "title": "Creating graphical interfaces through graphical interaction", "doi": null, "abstractUrl": "/proceedings-article/wvl/1990/00128404/12OmNyKrH4Z", "parentPublication": { "id": "proceedings/wvl/1990/2090/0", "title": "Proceedings of the 1990 IEEE Workshop on Visual Languages", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2016/01/07192667", "title": "Visual Encodings of Temporal Uncertainty: A Comparative User Study", "doi": null, "abstractUrl": "/journal/tg/2016/01/07192667/13rRUwjGoLH", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122631", "title": "Graphical Overlays: Using Layered Elements to Aid Chart Reading", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122631/13rRUyfKIHJ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440847", "title": "Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440847/17D45VtKix5", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440806", "title": "Evaluating ‘Graphical Perception’ with CNNs", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440806/17D45We0UEy", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2022/02/09756627", "title": "More Than Meets the Eye: A Closer Look at Encodings in Visualization", "doi": null, "abstractUrl": "/magazine/cg/2022/02/09756627/1CxvjdlL3TG", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/5555/01/09839572", "title": "Evaluating Graphical Perception of Visual Motion for Quantitative Data Encoding", "doi": null, "abstractUrl": "/journal/tg/5555/01/09839572/1FisKWeqz8Q", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/5555/01/09978718", "title": "The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance", "doi": null, "abstractUrl": "/journal/tg/5555/01/09978718/1IXUnbRdUEE", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08809678", "title": "Investigating Direct Manipulation of Graphical Encodings as a Method for User Interaction", "doi": null, "abstractUrl": "/journal/tg/2020/01/08809678/1cHEi01VEYg", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/aipr/2020/8243/0/09425299", "title": "An Interactive Graphical Visualization Approach to CNNs and RNNs", "doi": null, "abstractUrl": "/proceedings-article/aipr/2020/09425299/1tuA18nCi9a", "parentPublication": { "id": "proceedings/aipr/2020/8243/0", "title": "2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07836349", "articleId": "13rRUxZzAhK", "__typename": "AdjacentArticleType" }, "next": { "fno": "07852469", "articleId": "13rRUx0gezX", "__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": "13rRUygT7sv", "doi": "10.1109/TVCG.2008.172", "abstract": "We introduce the Word Tree, a new visualization and information-retrieval technique aimed at text documents. A word tree is a graphical version of the traditional \"keyword-in-context\" method, and enables rapid querying and exploration of bodies of text. In this paper we describe the design of the technique, along with some of the technical issues that arise in its implementation. In addition, we discuss the results of several months of public deployment of word trees on Many Eyes, which provides a window onto the ways in which users obtain value from the visualization.", "abstracts": [ { "abstractType": "Regular", "content": "We introduce the Word Tree, a new visualization and information-retrieval technique aimed at text documents. A word tree is a graphical version of the traditional \"keyword-in-context\" method, and enables rapid querying and exploration of bodies of text. In this paper we describe the design of the technique, along with some of the technical issues that arise in its implementation. In addition, we discuss the results of several months of public deployment of word trees on Many Eyes, which provides a window onto the ways in which users obtain value from the visualization.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We introduce the Word Tree, a new visualization and information-retrieval technique aimed at text documents. A word tree is a graphical version of the traditional \"keyword-in-context\" method, and enables rapid querying and exploration of bodies of text. In this paper we describe the design of the technique, along with some of the technical issues that arise in its implementation. In addition, we discuss the results of several months of public deployment of word trees on Many Eyes, which provides a window onto the ways in which users obtain value from the visualization.", "title": "The Word Tree, an Interactive Visual Concordance", "normalizedTitle": "The Word Tree, an Interactive Visual Concordance", "fno": "ttg2008061221", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Index Terms Text Visualization", "Document Visualization", "Many Eyes", "Case Study", "Concordance", "Information Retrieval", "Search" ], "authors": [ { "givenName": "Martin", "surname": "Wattenberg", "fullName": "Martin Wattenberg", "affiliation": "IBM Research", "__typename": "ArticleAuthorType" }, { "givenName": "Fernanda B.", "surname": "Viégas", "fullName": "Fernanda B. Viégas", "affiliation": "IBM Research", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2008-11-01 00:00:00", "pubType": "trans", "pages": "1221-1228", "year": "2008", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2014/4103/0/4103a108", "title": "RadCloud: Visualizing Multiple Texts with Merged Word Clouds", "doi": null, "abstractUrl": "/proceedings-article/iv/2014/4103a108/12OmNAgY7my", "parentPublication": { "id": "proceedings/iv/2014/4103/0", "title": "2014 18th International Conference on Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hicss/2014/2504/0/2504b833", "title": "Word Cloud Explorer: Text Analytics Based on Word Clouds", "doi": null, "abstractUrl": "/proceedings-article/hicss/2014/2504b833/12OmNqNG3jl", "parentPublication": { "id": "proceedings/hicss/2014/2504/0", "title": "2014 47th Hawaii International Conference on System Sciences (HICSS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2017/0831/0/0831a001", "title": "A Visual Analytics Approach for Word Relevances in Multiple Texts", "doi": null, "abstractUrl": "/proceedings-article/iv/2017/0831a001/12OmNwGZNCP", "parentPublication": { "id": "proceedings/iv/2017/0831/0", "title": "2017 21st International Conference Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/lics/1996/7463/0/74630322", "title": "Relating word and tree automata", "doi": null, "abstractUrl": "/proceedings-article/lics/1996/74630322/12OmNwnYFVd", "parentPublication": { "id": "proceedings/lics/1996/7463/0", "title": "Logic in Computer Science, Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2010/7846/0/05571339", "title": "Double Tree: An Advanced KWIC Visualization for Expert Users", "doi": null, "abstractUrl": "/proceedings-article/iv/2010/05571339/12OmNyKrH2e", "parentPublication": { "id": "proceedings/iv/2010/7846/0", "title": "2010 14th International Conference Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dcabes/2011/4415/0/4415a211", "title": "Fast Image Retrieval Method Based on Visual Word Tree Word", "doi": null, "abstractUrl": "/proceedings-article/dcabes/2011/4415a211/12OmNyY4rlF", "parentPublication": { "id": "proceedings/dcabes/2011/4415/0", "title": "2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2015/12/07118241", "title": "Morphable Word Clouds for Time-Varying Text Data Visualization", "doi": null, "abstractUrl": "/journal/tg/2015/12/07118241/13rRUwfZBVn", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08017582", "title": "Visual Diagnosis of Tree Boosting Methods", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017582/13rRUwj7cph", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07864462", "title": "Word-Sized Graphics for Scientific Texts", "doi": null, "abstractUrl": "/journal/tg/2017/06/07864462/13rRUyoPSP8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2022/9007/0/900700a123", "title": "Task-based Quantitative Evaluation of the Concordance Mosaic Visualization", "doi": null, "abstractUrl": "/proceedings-article/iv/2022/900700a123/1KaH5vtqL5K", "parentPublication": { "id": "proceedings/iv/2022/9007/0", "title": "2022 26th International Conference Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2008061213", "articleId": "13rRUxBrGgR", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2008061229", "articleId": "13rRUwcS1CQ", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNvDqsVX", "title": "Sept.", "year": "2018", "issueNum": "09", "idPrefix": "tg", "pubType": "journal", "volume": "24", "label": "Sept.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUILLkvy", "doi": "10.1109/TVCG.2017.2754480", "abstract": "The use of scatterplots is an important method for multivariate data visualization. The point distribution on the scatterplot, along with variable values represented by each point, can help analyze underlying patterns in data. However, determining the multivariate data variation on a scatterplot generated using projection methods, such as multidimensional scaling, is difficult. Furthermore, the point distribution becomes unclear when the data scale is large and clutter problems occur. These conditions can significantly decrease the usability of scatterplots on multivariate data analysis. In this study, we present a cluster-based visual abstraction method to enhance the visualization of multivariate scatterplots. Our method leverages an adapted multilabel clustering method to provide abstractions of high quality for scatterplots. An image-based method is used to deal with large scale data problem. Furthermore, a suite of glyphs is designed to visualize the data at different levels of detail and support data exploration. The view coordination between the glyph-based visualization and the table lens can effectively enhance the multivariate data analysis. Through numerical evaluations for data abstraction quality, case studies and a user study, we demonstrate the effectiveness and usability of the proposed techniques for multivariate data analysis on scatterplots.", "abstracts": [ { "abstractType": "Regular", "content": "The use of scatterplots is an important method for multivariate data visualization. The point distribution on the scatterplot, along with variable values represented by each point, can help analyze underlying patterns in data. However, determining the multivariate data variation on a scatterplot generated using projection methods, such as multidimensional scaling, is difficult. Furthermore, the point distribution becomes unclear when the data scale is large and clutter problems occur. These conditions can significantly decrease the usability of scatterplots on multivariate data analysis. In this study, we present a cluster-based visual abstraction method to enhance the visualization of multivariate scatterplots. Our method leverages an adapted multilabel clustering method to provide abstractions of high quality for scatterplots. An image-based method is used to deal with large scale data problem. Furthermore, a suite of glyphs is designed to visualize the data at different levels of detail and support data exploration. The view coordination between the glyph-based visualization and the table lens can effectively enhance the multivariate data analysis. Through numerical evaluations for data abstraction quality, case studies and a user study, we demonstrate the effectiveness and usability of the proposed techniques for multivariate data analysis on scatterplots.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The use of scatterplots is an important method for multivariate data visualization. The point distribution on the scatterplot, along with variable values represented by each point, can help analyze underlying patterns in data. However, determining the multivariate data variation on a scatterplot generated using projection methods, such as multidimensional scaling, is difficult. Furthermore, the point distribution becomes unclear when the data scale is large and clutter problems occur. These conditions can significantly decrease the usability of scatterplots on multivariate data analysis. In this study, we present a cluster-based visual abstraction method to enhance the visualization of multivariate scatterplots. Our method leverages an adapted multilabel clustering method to provide abstractions of high quality for scatterplots. An image-based method is used to deal with large scale data problem. Furthermore, a suite of glyphs is designed to visualize the data at different levels of detail and support data exploration. The view coordination between the glyph-based visualization and the table lens can effectively enhance the multivariate data analysis. Through numerical evaluations for data abstraction quality, case studies and a user study, we demonstrate the effectiveness and usability of the proposed techniques for multivariate data analysis on scatterplots.", "title": "Cluster-Based Visual Abstraction for Multivariate Scatterplots", "normalizedTitle": "Cluster-Based Visual Abstraction for Multivariate Scatterplots", "fno": "08047300", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualization", "Data Analysis", "Visualization", "Usability", "Clutter", "Clustering Methods", "Lenses", "Data Abstraction", "Scatterplot", "Glyph Visualization", "Multilabel Optimization" ], "authors": [ { "givenName": "Hongsen", "surname": "Liao", "fullName": "Hongsen Liao", "affiliation": "School of Software, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China", "__typename": "ArticleAuthorType" }, { "givenName": "Yingcai", "surname": "Wu", "fullName": "Yingcai Wu", "affiliation": "State Key Lab of CAD & CG, Zhejiang University, Zhejiang Sheng, China", "__typename": "ArticleAuthorType" }, { "givenName": "Li", "surname": "Chen", "fullName": "Li Chen", "affiliation": "School of Software, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China", "__typename": "ArticleAuthorType" }, { "givenName": "Wei", "surname": "Chen", "fullName": "Wei Chen", "affiliation": "State Key Lab of CAD & CG, Zhejiang University, Zhejiang Sheng, China", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "09", "pubDate": "2018-09-01 00:00:00", "pubType": "trans", "pages": "2531-2545", "year": "2018", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/pacificvis/2014/2874/0/2874a017", "title": "Non-overlapping Aggregated Multivariate Glyphs for Moving 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{ "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": "13rRUy3gn7C", "doi": "10.1109/TVCG.2017.2744184", "abstract": "Traditional scatterplots fail to scale as the complexity and amount of data increases. In response, there exist many design options that modify or expand the traditional scatterplot design to meet these larger scales. This breadth of design options creates challenges for designers and practitioners who must select appropriate designs for particular analysis goals. In this paper, we help designers in making design choices for scatterplot visualizations. We survey the literature to catalog scatterplot-specific analysis tasks. We look at how data characteristics influence design decisions. We then survey scatterplot-like designs to understand the range of design options. Building upon these three organizations, we connect data characteristics, analysis tasks, and design choices in order to generate challenges, open questions, and example best practices for the effective design of scatterplots.", "abstracts": [ { "abstractType": "Regular", "content": "Traditional scatterplots fail to scale as the complexity and amount of data increases. In response, there exist many design options that modify or expand the traditional scatterplot design to meet these larger scales. This breadth of design options creates challenges for designers and practitioners who must select appropriate designs for particular analysis goals. In this paper, we help designers in making design choices for scatterplot visualizations. We survey the literature to catalog scatterplot-specific analysis tasks. We look at how data characteristics influence design decisions. We then survey scatterplot-like designs to understand the range of design options. Building upon these three organizations, we connect data characteristics, analysis tasks, and design choices in order to generate challenges, open questions, and example best practices for the effective design of scatterplots.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Traditional scatterplots fail to scale as the complexity and amount of data increases. In response, there exist many design options that modify or expand the traditional scatterplot design to meet these larger scales. This breadth of design options creates challenges for designers and practitioners who must select appropriate designs for particular analysis goals. In this paper, we help designers in making design choices for scatterplot visualizations. We survey the literature to catalog scatterplot-specific analysis tasks. We look at how data characteristics influence design decisions. We then survey scatterplot-like designs to understand the range of design options. Building upon these three organizations, we connect data characteristics, analysis tasks, and design choices in order to generate challenges, open questions, and example best practices for the effective design of scatterplots.", "title": "Scatterplots: Tasks, Data, and Designs", "normalizedTitle": "Scatterplots: Tasks, Data, and Designs", "fno": "08017602", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualization", "Taxonomy", "Correlation", "Complexity Theory", "Organizations", "Visualization", "Scatterplots", "Task Taxonomies", "Study Of Designs" ], "authors": [ { "givenName": "Alper", "surname": "Sarikaya", "fullName": "Alper Sarikaya", "affiliation": "University of Wisconsin—Madison", "__typename": "ArticleAuthorType" }, { "givenName": "Michael", "surname": "Gleicher", "fullName": "Michael Gleicher", "affiliation": "University of Wisconsin—Madison", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, 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"RecommendedArticleType" }, { "id": "trans/tg/2014/12/06875982", "title": "Visual Abstraction and Exploration of Multi-class Scatterplots", "doi": null, "abstractUrl": "/journal/tg/2014/12/06875982/13rRUygT7ye", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/03/08490694", "title": "ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots", "doi": null, "abstractUrl": "/journal/tg/2020/03/08490694/14jQfPkRijD", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/5555/01/09826389", "title": "Automatic Scatterplot Design Optimization for Clustering Identification", "doi": null, "abstractUrl": "/journal/tg/5555/01/09826389/1EVdDTX0i2I", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2019/2838/0/283800a062", "title": "A Technique for Selection and Drawing of Scatterplots for Multi-Dimensional Data Visualization", "doi": null, "abstractUrl": "/proceedings-article/iv/2019/283800a062/1cMF8TTAeAw", "parentPublication": { "id": "proceedings/iv/2019/2838/0", "title": "2019 23rd International Conference Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08794768", "title": "Evaluating Perceptual Bias During Geometric Scaling of Scatterplots", "doi": null, "abstractUrl": "/journal/tg/2020/01/08794768/1cr2ZlCC2xG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": 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{ "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": "1FapOsLgEik", "doi": "10.1109/TVCG.2022.3192364", "abstract": "Immersive visualization in (VR) allows us to exploit visual cues for perception in 3D space, yet few existing studies have measured the effects of visual cues. Across a desktop monitor and a head-mounted display (HMD), we assessed scatterplot designs which vary their use of visual cues—motion, shading, perspective (graphical projection), and dimensionality—on two sets of data. We conducted a user study with a summary task in which 32 participants estimated the classification accuracy of an artificial from the scatterplots. With Bayesian multilevel modeling, we capture the intricate visual effects and find that no cue alone explains all the variance in estimation error. Visual motion cues generally reduce participants’ estimation error; besides this motion, using other cues may increase participants’ estimation error. Using an HMD, adding visual motion cues, providing a third data dimension, or showing a more complicated dataset leads to longer response times. We speculate that most visual cues may not strongly affect perception in immersive analytics unless they change people's mental model about data. In summary, by studying participants as they interpret the output from a complicated machine learning model, we advance our understanding of how to use the visual cues in immersive analytics.", "abstracts": [ { "abstractType": "Regular", "content": "Immersive visualization in (VR) allows us to exploit visual cues for perception in 3D space, yet few existing studies have measured the effects of visual cues. Across a desktop monitor and a head-mounted display (HMD), we assessed scatterplot designs which vary their use of visual cues—motion, shading, perspective (graphical projection), and dimensionality—on two sets of data. We conducted a user study with a summary task in which 32 participants estimated the classification accuracy of an artificial from the scatterplots. With Bayesian multilevel modeling, we capture the intricate visual effects and find that no cue alone explains all the variance in estimation error. Visual motion cues generally reduce participants’ estimation error; besides this motion, using other cues may increase participants’ estimation error. Using an HMD, adding visual motion cues, providing a third data dimension, or showing a more complicated dataset leads to longer response times. We speculate that most visual cues may not strongly affect perception in immersive analytics unless they change people's mental model about data. In summary, by studying participants as they interpret the output from a complicated machine learning model, we advance our understanding of how to use the visual cues in immersive analytics.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Immersive visualization in (VR) allows us to exploit visual cues for perception in 3D space, yet few existing studies have measured the effects of visual cues. Across a desktop monitor and a head-mounted display (HMD), we assessed scatterplot designs which vary their use of visual cues—motion, shading, perspective (graphical projection), and dimensionality—on two sets of data. We conducted a user study with a summary task in which 32 participants estimated the classification accuracy of an artificial from the scatterplots. With Bayesian multilevel modeling, we capture the intricate visual effects and find that no cue alone explains all the variance in estimation error. Visual motion cues generally reduce participants’ estimation error; besides this motion, using other cues may increase participants’ estimation error. Using an HMD, adding visual motion cues, providing a third data dimension, or showing a more complicated dataset leads to longer response times. We speculate that most visual cues may not strongly affect perception in immersive analytics unless they change people's mental model about data. In summary, by studying participants as they interpret the output from a complicated machine learning model, we advance our understanding of how to use the visual cues in immersive analytics.", "title": "Visual Cue Effects on a Classification Accuracy Estimation Task in Immersive Scatterplots", "normalizedTitle": "Visual Cue Effects on a Classification Accuracy Estimation Task in Immersive Scatterplots", "fno": "09834145", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Visualization", "Task Analysis", "Data Visualization", "Three Dimensional Displays", "Neural Networks", "Monitoring", "Training", "Virtual Reality", "Cluster Perception", "Information Visualization", "Immersive Analytics", "Dimension Reduction", "Classification" ], "authors": [ { "givenName": "Fumeng", "surname": "Yang", "fullName": "Fumeng Yang", "affiliation": "Northwestern University, Evanston, IL, USA", "__typename": "ArticleAuthorType" }, { "givenName": "James", "surname": "Tompkin", "fullName": "James Tompkin", "affiliation": "Department of Computer Science, Brown University, Providence, RI, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Lane", "surname": "Harrison", "fullName": "Lane Harrison", "affiliation": "Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "David H.", "surname": "Laidlaw", "fullName": "David H. Laidlaw", "affiliation": "Department of Computer Science, Brown University, Providence, RI, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2022-07-01 00:00:00", "pubType": "trans", "pages": "1-16", "year": "5555", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/vr/2018/3365/0/08446261", "title": "The Influence of Avatar Representation and Behavior on Communication in Social Immersive Virtual Environments", "doi": null, "abstractUrl": "/proceedings-article/vr/2018/08446261/13bd1gCd7T2", "parentPublication": { "id": "proceedings/vr/2018/3365/0", "title": "2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2018/3365/0/08447558", "title": "Immersive 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on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2019/4941/0/08933547", "title": "Evidence for Area as the Primary Visual Cue in Pie Charts", "doi": null, "abstractUrl": "/proceedings-article/vis/2019/08933547/1fTgFhkepQk", "parentPublication": { "id": "proceedings/vis/2019/4941/0", "title": "2019 IEEE Visualization Conference (VIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/02/09222346", "title": "Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment", "doi": null, "abstractUrl": "/journal/tg/2021/02/09222346/1nTqW9mGTrG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/02/09222098", "title": "Embodied Navigation in Immersive 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{ "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": "13rRUxZzAhI", "doi": "10.1109/TVCG.2016.2598867", "abstract": "Graph sampling is frequently used to address scalability issues when analyzing large graphs. Many algorithms have been proposed to sample graphs, and the performance of these algorithms has been quantified through metrics based on graph structural properties preserved by the sampling: degree distribution, clustering coefficient, and others. However, a perspective that is missing is the impact of these sampling strategies on the resultant visualizations. In this paper, we present the results of three user studies that investigate how sampling strategies influence node-link visualizations of graphs. In particular, five sampling strategies widely used in the graph mining literature are tested to determine how well they preserve visual features in node-link diagrams. Our results show that depending on the sampling strategy used different visual features are preserved. These results provide a complimentary view to metric evaluations conducted in the graph mining literature and provide an impetus to conduct future visualization studies.", "abstracts": [ { "abstractType": "Regular", "content": "Graph sampling is frequently used to address scalability issues when analyzing large graphs. Many algorithms have been proposed to sample graphs, and the performance of these algorithms has been quantified through metrics based on graph structural properties preserved by the sampling: degree distribution, clustering coefficient, and others. However, a perspective that is missing is the impact of these sampling strategies on the resultant visualizations. In this paper, we present the results of three user studies that investigate how sampling strategies influence node-link visualizations of graphs. In particular, five sampling strategies widely used in the graph mining literature are tested to determine how well they preserve visual features in node-link diagrams. Our results show that depending on the sampling strategy used different visual features are preserved. These results provide a complimentary view to metric evaluations conducted in the graph mining literature and provide an impetus to conduct future visualization studies.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Graph sampling is frequently used to address scalability issues when analyzing large graphs. Many algorithms have been proposed to sample graphs, and the performance of these algorithms has been quantified through metrics based on graph structural properties preserved by the sampling: degree distribution, clustering coefficient, and others. However, a perspective that is missing is the impact of these sampling strategies on the resultant visualizations. In this paper, we present the results of three user studies that investigate how sampling strategies influence node-link visualizations of graphs. In particular, five sampling strategies widely used in the graph mining literature are tested to determine how well they preserve visual features in node-link diagrams. Our results show that depending on the sampling strategy used different visual features are preserved. These results provide a complimentary view to metric evaluations conducted in the graph mining literature and provide an impetus to conduct future visualization studies.", "title": "Evaluation of Graph Sampling: A Visualization Perspective", "normalizedTitle": "Evaluation of Graph Sampling: A Visualization Perspective", "fno": "07539318", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Visualization", "Measurement", "Data Visualization", "Data Mining", "Fires", "Scalability", "Clustering Algorithms", "Empirical Evaluation", "Graph Visualization", "Graph Sampling" ], "authors": [ { "givenName": "Yanhong", "surname": "Wu", "fullName": "Yanhong Wu", "affiliation": "Hong Kong University of Science and Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Nan", "surname": "Cao", "fullName": "Nan Cao", "affiliation": "New York University, Shanghai", "__typename": "ArticleAuthorType" }, { "givenName": "Daniel", "surname": "Archambault", "fullName": "Daniel Archambault", "affiliation": "Swansea University", "__typename": "ArticleAuthorType" }, { "givenName": "Qiaomu", "surname": "Shen", "fullName": "Qiaomu Shen", "affiliation": "Hong Kong University of Science and Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Huamin", "surname": "Qu", "fullName": "Huamin Qu", "affiliation": "Hong Kong University of Science and Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Weiwei", "surname": "Cui", "fullName": "Weiwei Cui", "affiliation": "Microsoft Research Asia", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2017-01-01 00:00:00", "pubType": "trans", "pages": "401-410", "year": "2017", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icdmw/2015/8493/0/8493b620", "title": "TeGViz: Distributed Tera-Scale Graph 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"/proceedings-article/asonam/2016/07752360/12OmNzdoMOC", "parentPublication": { "id": "proceedings/asonam/2016/2846/0", "title": "2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/bd/2020/01/08456550", "title": "Cornac: Tackling Huge Graph Visualization with Big Data Infrastructure", "doi": null, "abstractUrl": "/journal/bd/2020/01/08456550/13rRUwbs1Up", "parentPublication": { "id": "trans/bd", "title": "IEEE Transactions on Big Data", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07864456", "title": "Proxy Graph: Visual Quality Metrics of Big Graph Sampling", "doi": null, "abstractUrl": "/journal/tg/2017/06/07864456/13rRUxASuAz", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2023/05/09705119", "title": "SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning", "doi": null, "abstractUrl": "/journal/tk/2023/05/09705119/1AII2wq6R9e", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bigcomp/2022/2197/0/219700a314", "title": "Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis", "doi": null, "abstractUrl": "/proceedings-article/bigcomp/2022/219700a314/1BYIJPLjT7W", "parentPublication": { "id": "proceedings/bigcomp/2022/2197/0", "title": "2022 IEEE International Conference on Big Data and Smart Computing (BigComp)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icde/2022/0883/0/088300a806", "title": "Social Graph Restoration via Random Walk 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"ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07539286", "articleId": "13rRUILtJqU", "__typename": "AdjacentArticleType" }, "next": { "fno": "07539669", "articleId": "13rRUx0gepZ", "__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": "1nV59fPyCPe", "doi": "10.1109/TVCG.2020.3030440", "abstract": "Numerous sampling strategies have been proposed to simplify large-scale networks for highly readable visualizations. It is of great challenge to preserve contextual structures formed by nodes and edges with tight relationships in a sampled graph, because they are easily overlooked during the process of sampling due to their irregular distribution and immunity to scale. In this paper, a new graph sampling method is proposed oriented to the preservation of contextual structures. We first utilize a graph representation learning (GRL) model to transform nodes into vectors so that the contextual structures in a network can be effectively extracted and organized. Then, we propose a multi-objective blue noise sampling model to select a subset of nodes in the vectorized space to preserve contextual structures with the retention of relative data and cluster densities in addition to those features of significance, such as bridging nodes and graph connections. We also design a set of visual interfaces enabling users to interactively conduct context-aware sampling, visually compare results with various sampling strategies, and deeply explore large networks. Case studies and quantitative comparisons based on real-world datasets have demonstrated the effectiveness of our method in the abstraction and exploration of large networks.", "abstracts": [ { "abstractType": "Regular", "content": "Numerous sampling strategies have been proposed to simplify large-scale networks for highly readable visualizations. It is of great challenge to preserve contextual structures formed by nodes and edges with tight relationships in a sampled graph, because they are easily overlooked during the process of sampling due to their irregular distribution and immunity to scale. In this paper, a new graph sampling method is proposed oriented to the preservation of contextual structures. We first utilize a graph representation learning (GRL) model to transform nodes into vectors so that the contextual structures in a network can be effectively extracted and organized. Then, we propose a multi-objective blue noise sampling model to select a subset of nodes in the vectorized space to preserve contextual structures with the retention of relative data and cluster densities in addition to those features of significance, such as bridging nodes and graph connections. We also design a set of visual interfaces enabling users to interactively conduct context-aware sampling, visually compare results with various sampling strategies, and deeply explore large networks. Case studies and quantitative comparisons based on real-world datasets have demonstrated the effectiveness of our method in the abstraction and exploration of large networks.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Numerous sampling strategies have been proposed to simplify large-scale networks for highly readable visualizations. It is of great challenge to preserve contextual structures formed by nodes and edges with tight relationships in a sampled graph, because they are easily overlooked during the process of sampling due to their irregular distribution and immunity to scale. In this paper, a new graph sampling method is proposed oriented to the preservation of contextual structures. We first utilize a graph representation learning (GRL) model to transform nodes into vectors so that the contextual structures in a network can be effectively extracted and organized. Then, we propose a multi-objective blue noise sampling model to select a subset of nodes in the vectorized space to preserve contextual structures with the retention of relative data and cluster densities in addition to those features of significance, such as bridging nodes and graph connections. We also design a set of visual interfaces enabling users to interactively conduct context-aware sampling, visually compare results with various sampling strategies, and deeply explore large networks. Case studies and quantitative comparisons based on real-world datasets have demonstrated the effectiveness of our method in the abstraction and exploration of large networks.", "title": "Context-aware Sampling of Large Networks via Graph Representation Learning", "normalizedTitle": "Context-aware Sampling of Large Networks via Graph Representation Learning", "fno": "09224191", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualisation", "Learning Artificial Intelligence", "Network Theory Graphs", "Pattern Clustering", "Sampling Methods", "Ubiquitous Computing", "Graph Sampling Method", "Contextual Structures", "Graph Representation Learning Model", "Multiobjective Blue Noise Sampling Model", "Bridging Nodes", "Graph Connections", "Sampling Strategies", "Large Scale Networks", "Highly Readable Visualizations", "Sampled Graph", "Irregular Distribution", "Immunity", "Context Aware Sampling", "Vectorized Space", "Visual Interfaces", "Visualization", "Measurement", "Sampling Methods", "Context Modeling", "Task Analysis", "Clutter", "Layout", "Graph Sampling", "Graph Representation Learning", "Blue Noise Sampling", "Graph Evaluation" ], "authors": [ { "givenName": "Zhiguang", "surname": "Zhou", "fullName": "Zhiguang Zhou", "affiliation": "School of Information, Zhejiang University of Finance and Economics", "__typename": "ArticleAuthorType" }, { "givenName": "Chen", "surname": "Shi", "fullName": "Chen Shi", "affiliation": "School of Information, Zhejiang University of Finance and Economics", "__typename": "ArticleAuthorType" }, { "givenName": "Xilong", "surname": "Shen", "fullName": "Xilong Shen", "affiliation": "School of Information, Zhejiang University of Finance and Economics", "__typename": "ArticleAuthorType" }, { "givenName": "Lihong", "surname": "Cai", "fullName": "Lihong Cai", "affiliation": "School of Information, Zhejiang University of Finance and Economics", "__typename": "ArticleAuthorType" }, { "givenName": "Haoxuan", "surname": "Wang", "fullName": "Haoxuan Wang", "affiliation": "School of Information, Zhejiang University of Finance and Economics", "__typename": "ArticleAuthorType" }, { "givenName": "Yuhua", "surname": "Liu", "fullName": "Yuhua Liu", "affiliation": "School of Information, Zhejiang University of Finance and Economics", "__typename": "ArticleAuthorType" }, { "givenName": "Ying", "surname": "Zhao", "fullName": "Ying Zhao", "affiliation": "Central South University", "__typename": "ArticleAuthorType" }, { "givenName": "Wei", "surname": "Chen", "fullName": "Wei Chen", "affiliation": "State Key Lab of CAD & CGZhejiang University", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2021-02-01 00:00:00", "pubType": "trans", "pages": "1709-1719", "year": "2021", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": 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cluster sampling in spatio-temporal graph", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2009/05206688/12OmNyen1qL", "parentPublication": { "id": "proceedings/cvpr/2009/3992/0", "title": "2009 IEEE Conference on Computer Vision and Pattern Recognition", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07864456", "title": "Proxy Graph: Visual Quality Metrics of Big Graph Sampling", "doi": null, "abstractUrl": "/journal/tg/2017/06/07864456/13rRUxASuAz", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/focs/2018/4230/0/423000a011", "title": "Metric Sublinear Algorithms via Linear Sampling", "doi": null, "abstractUrl": "/proceedings-article/focs/2018/423000a011/17D45XvMcc7", "parentPublication": { "id": "proceedings/focs/2018/4230/0", "title": "2018 IEEE 59th Annual 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{ "issue": { "id": "12OmNy7Qfqh", "title": "May", "year": "2017", "issueNum": "05", "idPrefix": "tg", "pubType": "journal", "volume": "23", "label": "May", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwd9CLS", "doi": "10.1109/TVCG.2016.2535234", "abstract": "Analysis and exploration of spatio-temporal data such as traffic flow and vehicle trajectories have become important in urban planning and management. In this paper, we present a novel visualization technique called route-zooming that can embed spatio-temporal information into a map seamlessly for occlusion-free visualization of both spatial and temporal data. The proposed technique can broaden a selected route in a map by deforming the overall road network. We formulate the problem of route-zooming as a nonlinear least squares optimization problem by defining an energy function that ensures the route is broadened successfully on demand while the distortion caused to the road network is minimized. The spatio-temporal information can then be embedded into the route to reveal both spatial and temporal patterns without occluding the spatial context information. The route-zooming technique is applied in two instantiations including an interactive metro map for city tourism and illustrative maps to highlight information on the broadened roads to prove its applicability. We demonstrate the usability of our spatio-temporal visualization approach with case studies on real traffic flow data. We also study various design choices in our method, including the encoding of the time direction and choices of temporal display, and conduct a comprehensive user study to validate our embedded visualization design.", "abstracts": [ { "abstractType": "Regular", "content": "Analysis and exploration of spatio-temporal data such as traffic flow and vehicle trajectories have become important in urban planning and management. In this paper, we present a novel visualization technique called route-zooming that can embed spatio-temporal information into a map seamlessly for occlusion-free visualization of both spatial and temporal data. The proposed technique can broaden a selected route in a map by deforming the overall road network. We formulate the problem of route-zooming as a nonlinear least squares optimization problem by defining an energy function that ensures the route is broadened successfully on demand while the distortion caused to the road network is minimized. The spatio-temporal information can then be embedded into the route to reveal both spatial and temporal patterns without occluding the spatial context information. The route-zooming technique is applied in two instantiations including an interactive metro map for city tourism and illustrative maps to highlight information on the broadened roads to prove its applicability. We demonstrate the usability of our spatio-temporal visualization approach with case studies on real traffic flow data. We also study various design choices in our method, including the encoding of the time direction and choices of temporal display, and conduct a comprehensive user study to validate our embedded visualization design.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Analysis and exploration of spatio-temporal data such as traffic flow and vehicle trajectories have become important in urban planning and management. In this paper, we present a novel visualization technique called route-zooming that can embed spatio-temporal information into a map seamlessly for occlusion-free visualization of both spatial and temporal data. The proposed technique can broaden a selected route in a map by deforming the overall road network. We formulate the problem of route-zooming as a nonlinear least squares optimization problem by defining an energy function that ensures the route is broadened successfully on demand while the distortion caused to the road network is minimized. The spatio-temporal information can then be embedded into the route to reveal both spatial and temporal patterns without occluding the spatial context information. The route-zooming technique is applied in two instantiations including an interactive metro map for city tourism and illustrative maps to highlight information on the broadened roads to prove its applicability. We demonstrate the usability of our spatio-temporal visualization approach with case studies on real traffic flow data. We also study various design choices in our method, including the encoding of the time direction and choices of temporal display, and conduct a comprehensive user study to validate our embedded visualization design.", "title": "Embedding Spatio-Temporal Information into Maps by Route-Zooming", "normalizedTitle": "Embedding Spatio-Temporal Information into Maps by Route-Zooming", "fno": "07420745", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Analysis", "Data Visualisation", "Geographic Information Systems", "Interactive Systems", "Minimisation", "Nonlinear Programming", "Road Traffic", "Spatiotemporal Phenomena", "Traffic Engineering Computing", "Spatiotemporal Information", "Spatiotemporal Data Analysis", "Spatiotemporal Data Exploration", "Vehicle Trajectories", "Urban Planning", "Urban Management", "Occlusion Free Visualization", "Road Network Deformation", "Nonlinear Least Squares Optimization", "Energy Function", "Distortion Minimization", "Temporal Patterns", "Spatial Patterns", "Route Zooming Technique", "Interactive Metro Map", "City Tourism", "Illustrative Maps", "Traffic Flow Data", "Temporal Display", "Embedded Visualization Design", "Roads", "Data Visualization", "Context", "Trajectory", "Optimization", "Spatial Databases", "Nonlinear Distortion", "Spatio Temporal Visualization", "Occlusion Free Visualization", "Least Square Optimization" ], "authors": [ { "givenName": "Guodao", "surname": "Sun", "fullName": "Guodao Sun", "affiliation": "Zhejiang University of Technology, Hangzhou, Zhejiang, China", "__typename": "ArticleAuthorType" }, { "givenName": "Ronghua", "surname": "Liang", "fullName": "Ronghua Liang", "affiliation": "Zhejiang University of Technology, Hangzhou, Zhejiang, China", "__typename": "ArticleAuthorType" }, { "givenName": "Huamin", "surname": "Qu", "fullName": "Huamin Qu", "affiliation": "Hong Kong University of Science and Technology, Hong Kong", "__typename": "ArticleAuthorType" }, { "givenName": "Yingcai", "surname": "Wu", "fullName": "Yingcai Wu", "affiliation": "State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2017-05-01 00:00:00", "pubType": "trans", "pages": "1506-1519", "year": "2017", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icdmw/2017/3800/0/3800a675", "title": "Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks", "doi": null, "abstractUrl": "/proceedings-article/icdmw/2017/3800a675/12OmNC8uRj0", "parentPublication": { "id": "proceedings/icdmw/2017/3800/0", "title": "2017 IEEE International Conference on Data Mining Workshops (ICDMW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdm/2010/4256/0/4256b217", "title": "Spatial and Spatio-temporal Data Mining", "doi": null, "abstractUrl": "/proceedings-article/icdm/2010/4256b217/12OmNCgrDcQ", "parentPublication": { "id": "proceedings/icdm/2010/4256/0", "title": "2010 IEEE International Conference on Data Mining", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dexa/1999/0281/0/02810487", "title": "Shifts in Detail through Temporal Zooming", "doi": null, "abstractUrl": "/proceedings-article/dexa/1999/02810487/12OmNvmowQl", "parentPublication": { "id": "proceedings/dexa/1999/0281/0", "title": "Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mdm/2018/4133/0/413301a278", "title": "aSTEP: Aau's Spatio-TEmporal Data Analytics Platform", "doi": null, "abstractUrl": "/proceedings-article/mdm/2018/413301a278/12OmNxvO04f", "parentPublication": { "id": "proceedings/mdm/2018/4133/0", "title": "2018 19th IEEE International Conference on Mobile Data Management (MDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2014/2874/0/2874a185", "title": "Embedding Temporal Display into Maps for Occlusion-Free Visualization of Spatio-temporal Data", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2014/2874a185/12OmNzGlREz", "parentPublication": { "id": "proceedings/pacificvis/2014/2874/0", "title": "2014 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mdm/2016/0883/2/0883b004", "title": "Compression of Spatio-temporal Data", "doi": null, "abstractUrl": "/proceedings-article/mdm/2016/0883b004/12OmNzTYC0q", "parentPublication": { "id": "mdm/2016/0883/2", "title": "2016 17th IEEE International Conference on Mobile Data Management (MDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2009/06/ttg2009061547", "title": "Focus+Context Route Zooming and Information Overlay in 3D Urban Environments", "doi": null, "abstractUrl": "/journal/tg/2009/06/ttg2009061547/13rRUxjQypa", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mdm/2022/5176/0/517600a331", "title": "Sharing and Generating Privacy-Preserving Spatio-Temporal Data Using Real-World Knowledge", "doi": null, "abstractUrl": "/proceedings-article/mdm/2022/517600a331/1G89MDXhZu0", "parentPublication": { "id": "proceedings/mdm/2022/5176/0", "title": "2022 23rd IEEE International Conference on Mobile Data Management (MDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mdm/2022/5176/0/517600a029", "title": "Route Recommendation to Facilitate Carpooling", "doi": null, "abstractUrl": "/proceedings-article/mdm/2022/517600a029/1G89NhScyAw", "parentPublication": { "id": "proceedings/mdm/2022/5176/0", "title": "2022 23rd IEEE International Conference on Mobile Data Management (MDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2021/07/08936400", "title": "Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data", "doi": null, "abstractUrl": "/journal/tk/2021/07/08936400/1fRz0BjkJZm", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07420740", "articleId": "13rRUwbaqUR", "__typename": "AdjacentArticleType" }, "next": { "fno": "07404057", "articleId": "13rRUwjXZSj", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNx4Q6DL", "title": "Oct.", "year": "2017", "issueNum": "10", "idPrefix": "tg", "pubType": "journal", "volume": "23", "label": "Oct.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxC0SOZ", "doi": "10.1109/TVCG.2016.2620975", "abstract": "The Eulerian and Lagrangian reference frames each provide a unique perspective when studying and visualizing results from scientific systems. As a result, many large-scale simulations produce data in both formats, and analysis tasks that simultaneously utilize information from both representations are becoming increasingly popular. However, due to their fundamentally different nature, drawing correlations between these data formats is a computationally difficult task, especially in a large-scale setting. In this work, we present a new data representation which combines both reference frames into a joint Eulerian-Lagrangian format. By reorganizing Lagrangian information according to the Eulerian simulation grid into a “unit cell” based approach, we can provide an efficient out-of-core means of sampling, querying, and operating with both representations simultaneously. We also extend this design to generate multi-resolution subsets of the full data to suit the viewer’s needs and provide a fast flow-aware trajectory construction scheme. We demonstrate the effectiveness of our method using three large-scale real world scientific datasets and provide insight into the types of performance gains that can be achieved.", "abstracts": [ { "abstractType": "Regular", "content": "The Eulerian and Lagrangian reference frames each provide a unique perspective when studying and visualizing results from scientific systems. As a result, many large-scale simulations produce data in both formats, and analysis tasks that simultaneously utilize information from both representations are becoming increasingly popular. However, due to their fundamentally different nature, drawing correlations between these data formats is a computationally difficult task, especially in a large-scale setting. In this work, we present a new data representation which combines both reference frames into a joint Eulerian-Lagrangian format. By reorganizing Lagrangian information according to the Eulerian simulation grid into a “unit cell” based approach, we can provide an efficient out-of-core means of sampling, querying, and operating with both representations simultaneously. We also extend this design to generate multi-resolution subsets of the full data to suit the viewer’s needs and provide a fast flow-aware trajectory construction scheme. We demonstrate the effectiveness of our method using three large-scale real world scientific datasets and provide insight into the types of performance gains that can be achieved.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The Eulerian and Lagrangian reference frames each provide a unique perspective when studying and visualizing results from scientific systems. As a result, many large-scale simulations produce data in both formats, and analysis tasks that simultaneously utilize information from both representations are becoming increasingly popular. However, due to their fundamentally different nature, drawing correlations between these data formats is a computationally difficult task, especially in a large-scale setting. In this work, we present a new data representation which combines both reference frames into a joint Eulerian-Lagrangian format. By reorganizing Lagrangian information according to the Eulerian simulation grid into a “unit cell” based approach, we can provide an efficient out-of-core means of sampling, querying, and operating with both representations simultaneously. We also extend this design to generate multi-resolution subsets of the full data to suit the viewer’s needs and provide a fast flow-aware trajectory construction scheme. We demonstrate the effectiveness of our method using three large-scale real world scientific datasets and provide insight into the types of performance gains that can be achieved.", "title": "A Combined Eulerian-Lagrangian Data Representation for Large-Scale Applications", "normalizedTitle": "A Combined Eulerian-Lagrangian Data Representation for Large-Scale Applications", "fno": "07676418", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Models", "Computational Modeling", "Data Visualization", "Analytical Models", "Correlation", "Octrees", "Flow Visualization", "Particle Data", "Volume Data", "Multi Resolution", "Large Scale Data", "Data Structures" ], "authors": [ { "givenName": "Franz", "surname": "Sauer", "fullName": "Franz Sauer", "affiliation": "Department of Computer Science, University of California at Davis, Davis, CA", "__typename": "ArticleAuthorType" }, { "givenName": "Jinrong", "surname": "Xie", "fullName": "Jinrong Xie", "affiliation": "Department of Computer Science, University of California at Davis, Davis, CA", "__typename": "ArticleAuthorType" }, { "givenName": "Kwan-Liu", "surname": "Ma", "fullName": "Kwan-Liu Ma", "affiliation": "Department of Computer Science, University of California at Davis, Davis, CA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "10", "pubDate": "2017-10-01 00:00:00", "pubType": "trans", "pages": "2248-2261", "year": "2017", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/ems/2009/3886/0/3886a333", "title": "Splitting Scheme for Eulerian-Lagrangian Technique in the Analysis of Particle Conformity to Fluid Flow", "doi": null, "abstractUrl": "/proceedings-article/ems/2009/3886a333/12OmNBCqbJi", "parentPublication": { "id": "proceedings/ems/2009/3886/0", "title": "Computer Modeling and Simulation, UKSIM European Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-vis/2001/7200/0/7200jobard", "title": "Lagrangian-Eulerian Advection for Unsteady Flow Visualization", "doi": null, "abstractUrl": "/proceedings-article/ieee-vis/2001/7200jobard/12OmNC943Kh", "parentPublication": { "id": "proceedings/ieee-vis/2001/7200/0", "title": "Visualization Conference, IEEE", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/visual/2001/7201/0/00964493", "title": "Lagrangian-Eulerian advection for unsteady flow visualization", "doi": null, "abstractUrl": "/proceedings-article/visual/2001/00964493/12OmNqC2v4a", "parentPublication": { "id": "proceedings/visual/2001/7201/0", "title": "Proceedings VIS 2001. Visualization 2001", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmla/2016/6167/0/07838280", "title": "A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations", "doi": null, "abstractUrl": "/proceedings-article/icmla/2016/07838280/12OmNwHQBbE", "parentPublication": { "id": "proceedings/icmla/2016/6167/0", "title": "2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/fg/2018/2335/0/233501a650", "title": "Micro-Expression Motion Magnification: Global Lagrangian vs. Local Eulerian Approaches", "doi": null, "abstractUrl": "/proceedings-article/fg/2018/233501a650/12OmNwHhoMb", "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/ieee-vis/2002/7498/0/7498grant", "title": "Case Study: Visualizing Ocean Flow Vertical Motions using Lagrangian-Eulerian Time Surfaces", "doi": null, "abstractUrl": "/proceedings-article/ieee-vis/2002/7498grant/12OmNyugyJQ", "parentPublication": { "id": "proceedings/ieee-vis/2002/7498/0", "title": "Visualization Conference, IEEE", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ldav/2014/5215/0/07013206", "title": "Improved post hoc flow analysis via Lagrangian representations", "doi": null, "abstractUrl": "/proceedings-article/ldav/2014/07013206/12OmNyvY9Aw", "parentPublication": { "id": "proceedings/ldav/2014/5215/0", "title": "2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/allerton/2008/2925/0/04797618", "title": "Guaranteed bounds for traffic flow parameters estimation using mixed Lagrangian-Eulerian sensing", "doi": null, "abstractUrl": "/proceedings-article/allerton/2008/04797618/12OmNzdoMsF", "parentPublication": { "id": "proceedings/allerton/2008/2925/0", "title": "2008 46th Annual Allerton Conference on Communication, Control, and Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/05/v0980", "title": "Vortex and Strain Skeletons in Eulerian and Lagrangian Frames", "doi": null, "abstractUrl": "/journal/tg/2007/05/v0980/13rRUEgs2BM", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2002/03/v0211", "title": "Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization", "doi": null, "abstractUrl": "/journal/tg/2002/03/v0211/13rRUxD9h4X", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07932108", "articleId": "13rRUyYjKan", "__typename": "AdjacentArticleType" }, "next": { "fno": "07779153", "articleId": "13rRUxYIMV6", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNAkWva1", "title": "Nov.", "year": "2020", "issueNum": "11", "idPrefix": "tk", "pubType": "journal", "volume": "32", "label": "Nov.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "19HKOhQ8WE8", "doi": "10.1109/TKDE.2019.2914449", "abstract": "The pervasiveness of GPS-enabled devices and wireless communication technologies results in massive trajectory data, incurring expensive cost for storage, transmission, and query processing. To relieve this problem, in this paper we propose a novel framework for compressing trajectory data, REST (Reference-based Spatio-temporal trajectory compression), by which a raw trajectory is represented by concatenation of a series of historical (sub-)trajectories (called reference trajectories) that form the compressed trajectory within a given spatio-temporal deviation threshold. In order to construct a reference trajectory set that can most benefit the subsequent compression, we propose three kinds of techniques to select reference trajectories wisely from a large dataset such that the resulting reference set is more compact yet covering most footprints of trajectories in the area of interest. To address the computational issue caused by the large number of combinations of reference trajectories that may exist for resembling a given trajectory, we propose efficient greedy algorithms that run in the blink of an eye and dynamic programming algorithms that can achieve the optimal compression ratio. Compared to existing work on trajectory compression, our framework has few assumptions about data such as moving within a road network or moving with constant direction and speed, and better compression performance with fairly small spatio-temporal loss. In addition, by indexing the reference trajectories directly with an in-memory R-tree and building connections to the raw trajectories with inverted index, we develop an extremely efficient algorithm that can answer spatio-temporal range queries over trajectories in their compressed form. Extensive experiments on a real taxi trajectory dataset demonstrate the superiority of our framework over existing representative approaches in terms of both compression ratio and efficiency.", "abstracts": [ { "abstractType": "Regular", "content": "The pervasiveness of GPS-enabled devices and wireless communication technologies results in massive trajectory data, incurring expensive cost for storage, transmission, and query processing. To relieve this problem, in this paper we propose a novel framework for compressing trajectory data, REST (Reference-based Spatio-temporal trajectory compression), by which a raw trajectory is represented by concatenation of a series of historical (sub-)trajectories (called reference trajectories) that form the compressed trajectory within a given spatio-temporal deviation threshold. In order to construct a reference trajectory set that can most benefit the subsequent compression, we propose three kinds of techniques to select reference trajectories wisely from a large dataset such that the resulting reference set is more compact yet covering most footprints of trajectories in the area of interest. To address the computational issue caused by the large number of combinations of reference trajectories that may exist for resembling a given trajectory, we propose efficient greedy algorithms that run in the blink of an eye and dynamic programming algorithms that can achieve the optimal compression ratio. Compared to existing work on trajectory compression, our framework has few assumptions about data such as moving within a road network or moving with constant direction and speed, and better compression performance with fairly small spatio-temporal loss. In addition, by indexing the reference trajectories directly with an in-memory R-tree and building connections to the raw trajectories with inverted index, we develop an extremely efficient algorithm that can answer spatio-temporal range queries over trajectories in their compressed form. Extensive experiments on a real taxi trajectory dataset demonstrate the superiority of our framework over existing representative approaches in terms of both compression ratio and efficiency.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The pervasiveness of GPS-enabled devices and wireless communication technologies results in massive trajectory data, incurring expensive cost for storage, transmission, and query processing. To relieve this problem, in this paper we propose a novel framework for compressing trajectory data, REST (Reference-based Spatio-temporal trajectory compression), by which a raw trajectory is represented by concatenation of a series of historical (sub-)trajectories (called reference trajectories) that form the compressed trajectory within a given spatio-temporal deviation threshold. In order to construct a reference trajectory set that can most benefit the subsequent compression, we propose three kinds of techniques to select reference trajectories wisely from a large dataset such that the resulting reference set is more compact yet covering most footprints of trajectories in the area of interest. To address the computational issue caused by the large number of combinations of reference trajectories that may exist for resembling a given trajectory, we propose efficient greedy algorithms that run in the blink of an eye and dynamic programming algorithms that can achieve the optimal compression ratio. Compared to existing work on trajectory compression, our framework has few assumptions about data such as moving within a road network or moving with constant direction and speed, and better compression performance with fairly small spatio-temporal loss. In addition, by indexing the reference trajectories directly with an in-memory R-tree and building connections to the raw trajectories with inverted index, we develop an extremely efficient algorithm that can answer spatio-temporal range queries over trajectories in their compressed form. Extensive experiments on a real taxi trajectory dataset demonstrate the superiority of our framework over existing representative approaches in terms of both compression ratio and efficiency.", "title": "Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing", "normalizedTitle": "Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing", "fno": "08704961", "hasPdf": true, "idPrefix": "tk", "keywords": [ "Data Compression", "Database Indexing", "Dynamic Programming", "Greedy Algorithms", "Optimisation", "Query Processing", "Spatiotemporal Phenomena", "Temporal Databases", "Visual Databases", "Reference Based Spatio Temporal Trajectory Compression", "Spatio Temporal Deviation Threshold", "Reference Based Framework", "Massive Trajectory Data", "Query Processing", "Taxi Trajectory Dataset", "Spatio Temporal Range Queries", "Reference Trajectory Set", "Compressed Trajectory", "Reference Trajectories", "Raw Trajectory", "Trajectory", "Query Processing", "Indexes", "Measurement", "Roads", "Computer Science", "Compression Algorithms", "Reference Trajectory", "Spatio Temporal Trajectory", "Compression" ], "authors": [ { "givenName": "Kai", "surname": "Zheng", "fullName": "Kai Zheng", "affiliation": "School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China", "__typename": "ArticleAuthorType" }, { "givenName": "Yan", "surname": "Zhao", "fullName": "Yan Zhao", "affiliation": "Institute of Artificial Intelligence, School of Computer Science and Technology, Soochow University, Suzhou, China", "__typename": "ArticleAuthorType" }, { "givenName": "Defu", "surname": "Lian", "fullName": "Defu Lian", "affiliation": "School of Computer Science and Technology and School of Data Science, University of Science and Technology of China, Hefei, China", "__typename": "ArticleAuthorType" }, { "givenName": "Bolong", "surname": "Zheng", "fullName": "Bolong Zheng", "affiliation": "School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China", "__typename": "ArticleAuthorType" }, { "givenName": "Guanfeng", "surname": "Liu", "fullName": "Guanfeng Liu", "affiliation": "Department of Computing, Macquarie University, Sydney, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Xiaofang", "surname": "Zhou", "fullName": "Xiaofang Zhou", "affiliation": "University of Queensland, Brisbane, Australia", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "11", "pubDate": "2020-11-01 00:00:00", "pubType": "trans", "pages": "2227-2240", "year": "2020", "issn": "1041-4347", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icde/2017/6543/0/6543b283", "title": "Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data", "doi": null, "abstractUrl": "/proceedings-article/icde/2017/6543b283/12OmNAZfxIT", "parentPublication": { "id": "proceedings/icde/2017/6543/0", "title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/big-data/2016/9005/0/07840638", "title": "Clockwise compression for trajectory data under road network constraints", "doi": null, "abstractUrl": "/proceedings-article/big-data/2016/07840638/12OmNBqv2h0", "parentPublication": { "id": "proceedings/big-data/2016/9005/0", "title": "2016 IEEE International Conference on Big Data (Big Data)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icpads/2016/4457/0/4457a256", "title": "A Comparison of Road-Network-Constrained Trajectory Compression Methods", "doi": null, "abstractUrl": "/proceedings-article/icpads/2016/4457a256/12OmNCvLY1A", "parentPublication": { "id": "proceedings/icpads/2016/4457/0", "title": "2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mdm/2016/0883/2/0883b004", "title": "Compression of Spatio-temporal Data", "doi": null, "abstractUrl": "/proceedings-article/mdm/2016/0883b004/12OmNzTYC0q", "parentPublication": { "id": "mdm/2016/0883/2", "title": "2016 17th IEEE International Conference on Mobile Data Management (MDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/comgeo/2013/5012/0/06602046", "title": "Similarity-Based Compression of GPS Trajectory Data", "doi": null, "abstractUrl": "/proceedings-article/comgeo/2013/06602046/12OmNzlUKHl", "parentPublication": { "id": "proceedings/comgeo/2013/5012/0", "title": "2013 4th International Conference on Computing for Geospatial Research & Application (COM.Geo)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/bd/2019/04/08352873", "title": "Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query", "doi": null, "abstractUrl": "/journal/bd/2019/04/08352873/13rRUx0Pquy", "parentPublication": { "id": "trans/bd", "title": "IEEE Transactions on Big Data", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icde/2018/5520/0/552000b097", "title": "CiNCT: Compression and Retrieval for Massive Vehicular Trajectories via Relative Movement Labeling", "doi": null, "abstractUrl": "/proceedings-article/icde/2018/552000b097/14Fq0UPBueu", "parentPublication": { "id": "proceedings/icde/2018/5520/0", "title": "2018 IEEE 34th International Conference on Data Engineering (ICDE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/5555/01/09944165", "title": "Road-aware Indexing for Trajectory Range Queries", "doi": null, "abstractUrl": "/journal/tk/5555/01/09944165/1Ia7dUfjpza", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2021/07/08936400", "title": "Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data", "doi": null, "abstractUrl": "/journal/tk/2021/07/08936400/1fRz0BjkJZm", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icde/2020/2903/0/09101683", "title": "Parallel Semantic Trajectory Similarity Join", "doi": null, "abstractUrl": "/proceedings-article/icde/2020/09101683/1kaMzVhQYgw", "parentPublication": { "id": "proceedings/icde/2020/2903/0", "title": "2020 IEEE 36th International Conference on Data Engineering (ICDE)", "__typename": "ParentPublication" 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{ "issue": { "id": "1EOzVCQBwyI", "title": "Aug.", "year": "2022", "issueNum": "08", "idPrefix": "tk", "pubType": "journal", "volume": "34", "label": "Aug.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1nkyTK35x1S", "doi": "10.1109/TKDE.2020.3025580", "abstract": "With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from spatio-temporal data is critically important to many real-world applications including human mobility understanding, smart transportation, urban planning, public safety, health care and environmental management. As the number, volume and resolution of spatio-temporal data increase rapidly, traditional data mining methods, especially statistics-based methods for dealing with such data are becoming overwhelmed. Recently deep learning models such as recurrent neural network (RNN) and convolutional neural network (CNN) have achieved remarkable success in many domains due to the powerful ability in automatic feature representation learning, and are also widely applied in various spatio-temporal data mining (STDM) tasks such as predictive learning, anomaly detection and classification. In this paper, we provide a comprehensive review of recent progress in applying deep learning techniques for STDM. We first categorize the spatio-temporal data into five different types, and then briefly introduce the deep learning models that are widely used in STDM. Next, we classify existing literature based on the types of spatio-temporal data, the data mining tasks, and the deep learning models, followed by the applications of deep learning for STDM in different domains including transportation, on-demand service, climate & weather analysis, human mobility, location-based social network, crime analysis, and neuroscience. Finally, we conclude the limitations of current research and point out future research directions.", "abstracts": [ { "abstractType": "Regular", "content": "With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from spatio-temporal data is critically important to many real-world applications including human mobility understanding, smart transportation, urban planning, public safety, health care and environmental management. As the number, volume and resolution of spatio-temporal data increase rapidly, traditional data mining methods, especially statistics-based methods for dealing with such data are becoming overwhelmed. Recently deep learning models such as recurrent neural network (RNN) and convolutional neural network (CNN) have achieved remarkable success in many domains due to the powerful ability in automatic feature representation learning, and are also widely applied in various spatio-temporal data mining (STDM) tasks such as predictive learning, anomaly detection and classification. In this paper, we provide a comprehensive review of recent progress in applying deep learning techniques for STDM. We first categorize the spatio-temporal data into five different types, and then briefly introduce the deep learning models that are widely used in STDM. Next, we classify existing literature based on the types of spatio-temporal data, the data mining tasks, and the deep learning models, followed by the applications of deep learning for STDM in different domains including transportation, on-demand service, climate & weather analysis, human mobility, location-based social network, crime analysis, and neuroscience. Finally, we conclude the limitations of current research and point out future research directions.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from spatio-temporal data is critically important to many real-world applications including human mobility understanding, smart transportation, urban planning, public safety, health care and environmental management. As the number, volume and resolution of spatio-temporal data increase rapidly, traditional data mining methods, especially statistics-based methods for dealing with such data are becoming overwhelmed. Recently deep learning models such as recurrent neural network (RNN) and convolutional neural network (CNN) have achieved remarkable success in many domains due to the powerful ability in automatic feature representation learning, and are also widely applied in various spatio-temporal data mining (STDM) tasks such as predictive learning, anomaly detection and classification. In this paper, we provide a comprehensive review of recent progress in applying deep learning techniques for STDM. We first categorize the spatio-temporal data into five different types, and then briefly introduce the deep learning models that are widely used in STDM. Next, we classify existing literature based on the types of spatio-temporal data, the data mining tasks, and the deep learning models, followed by the applications of deep learning for STDM in different domains including transportation, on-demand service, climate & weather analysis, human mobility, location-based social network, crime analysis, and neuroscience. Finally, we conclude the limitations of current research and point out future research directions.", "title": "Deep Learning for Spatio-Temporal Data Mining: A Survey", "normalizedTitle": "Deep Learning for Spatio-Temporal Data Mining: A Survey", "fno": "09204396", "hasPdf": true, "idPrefix": "tk", "keywords": [ "Machine Learning", "Data Mining", "Trajectory", "Data Models", "Task Analysis", "Meteorology", "Analytical Models", "Deep Learning", "Spatio Temporal Data", "Data Mining" ], "authors": [ { "givenName": "Senzhang", "surname": "Wang", "fullName": "Senzhang Wang", "affiliation": "College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China", "__typename": "ArticleAuthorType" }, { "givenName": "Jiannong", "surname": "Cao", "fullName": "Jiannong Cao", "affiliation": "Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China", "__typename": "ArticleAuthorType" }, { "givenName": "Philip S.", "surname": "Yu", "fullName": "Philip S. Yu", "affiliation": "Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "08", "pubDate": "2022-08-01 00:00:00", "pubType": "trans", "pages": "3681-3700", "year": "2022", "issn": "1041-4347", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icisce/2017/3013/0/3013a741", "title": "The Spatio-Temporal Data Modeling and Application Based on Graph Database", "doi": null, "abstractUrl": "/proceedings-article/icisce/2017/3013a741/12OmNAYoKq8", "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/cvpr/2016/8851/0/8851f308", "title": "Structural-RNN: Deep Learning on Spatio-Temporal Graphs", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2016/8851f308/12OmNApcuaP", "parentPublication": { "id": "proceedings/cvpr/2016/8851/0", "title": "2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdmw/2012/4925/0/4925a805", "title": "Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions", "doi": null, "abstractUrl": "/proceedings-article/icdmw/2012/4925a805/12OmNBU1jMW", "parentPublication": { "id": "proceedings/icdmw/2012/4925/0", "title": "2012 IEEE 12th International Conference on Data Mining Workshops", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdmw/2014/4274/0/4274a001", "title": "Spatio-Temporal Trajectory Region-of-Interest Mining Using Delaunay Triangulation", "doi": null, "abstractUrl": "/proceedings-article/icdmw/2014/4274a001/12OmNCesraa", "parentPublication": { "id": "proceedings/icdmw/2014/4274/0", "title": "2014 IEEE International Conference on Data Mining Workshop (ICDMW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdm/2010/4256/0/4256b217", "title": "Spatial and Spatio-temporal Data Mining", "doi": null, "abstractUrl": "/proceedings-article/icdm/2010/4256b217/12OmNCgrDcQ", "parentPublication": { "id": "proceedings/icdm/2010/4256/0", "title": "2010 IEEE International Conference on Data Mining", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iri/2018/2659/0/265901a386", "title": "Deep Spatio-Temporal Representation Learning for Multi-Class Imbalanced Data Classification", "doi": null, "abstractUrl": "/proceedings-article/iri/2018/265901a386/12OmNyq0zGY", "parentPublication": { "id": "proceedings/iri/2018/2659/0", "title": "2018 IEEE International Conference on Information Reuse and Integration (IRI)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0/199300b036", "title": "Deep Spatio-Temporal Residual Shrinkage Networks for Traffic Prediction", "doi": null, "abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2022/199300b036/1LSPtItNsNG", "parentPublication": { "id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0", "title": "2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2021/07/08936400", "title": "Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data", "doi": null, "abstractUrl": "/journal/tk/2021/07/08936400/1fRz0BjkJZm", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2021/06/08918011", "title": "Spatio-Temporal Multi-Task Learning via Tensor Decomposition", "doi": null, "abstractUrl": "/journal/tk/2021/06/08918011/1fm1LI0Q6Eo", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdm/2019/4604/0/460400b228", "title": "Spatio-Temporal GRU for Trajectory Classification", "doi": null, "abstractUrl": "/proceedings-article/icdm/2019/460400b228/1h5XI9xmGre", "parentPublication": { "id": "proceedings/icdm/2019/4604/0", "title": "2019 IEEE International Conference on Data Mining (ICDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09215004", "articleId": "1nHNCuNeisg", "__typename": "AdjacentArticleType" }, "next": { "fno": "09217989", "articleId": "1nL7kE5IL7y", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "1Fp5V6TYCEE", "title": "Sept.", "year": "2022", "issueNum": "09", "idPrefix": "tg", "pubType": "journal", "volume": "28", "label": "Sept.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1qnQDMKryUw", "doi": "10.1109/TVCG.2021.3051632", "abstract": "In molecular analysis, spatial distribution functions (SDF) are fundamental instruments in answering questions related to spatial occurrences and relations of atomic structures over time. Given a molecular trajectory, SDFs can, for example, reveal the occurrence of water in relation to particular structures and hence provide clues of hydrophobic and hydrophilic regions. For the computation of meaningful distribution functions, the definition of molecular reference structures is essential. Therefore we introduce the concept of an internal frame of reference (IFR) for labeled point sets that represent selected molecular structures, and we propose an algorithm for tracking the IFR over time and space using a variant of Kabsch’s algorithm. This approach lets us generate a consistent space for the aggregation of the SDF for molecular trajectories and molecular ensembles. We demonstrate the usefulness of the technique by applying it to temporal molecular trajectories as well as ensemble datasets. The examples include different docking scenarios with DNA, insulin, and aspirin.", "abstracts": [ { "abstractType": "Regular", "content": "In molecular analysis, spatial distribution functions (SDF) are fundamental instruments in answering questions related to spatial occurrences and relations of atomic structures over time. Given a molecular trajectory, SDFs can, for example, reveal the occurrence of water in relation to particular structures and hence provide clues of hydrophobic and hydrophilic regions. For the computation of meaningful distribution functions, the definition of molecular reference structures is essential. Therefore we introduce the concept of an internal frame of reference (IFR) for labeled point sets that represent selected molecular structures, and we propose an algorithm for tracking the IFR over time and space using a variant of Kabsch’s algorithm. This approach lets us generate a consistent space for the aggregation of the SDF for molecular trajectories and molecular ensembles. We demonstrate the usefulness of the technique by applying it to temporal molecular trajectories as well as ensemble datasets. The examples include different docking scenarios with DNA, insulin, and aspirin.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "In molecular analysis, spatial distribution functions (SDF) are fundamental instruments in answering questions related to spatial occurrences and relations of atomic structures over time. Given a molecular trajectory, SDFs can, for example, reveal the occurrence of water in relation to particular structures and hence provide clues of hydrophobic and hydrophilic regions. For the computation of meaningful distribution functions, the definition of molecular reference structures is essential. Therefore we introduce the concept of an internal frame of reference (IFR) for labeled point sets that represent selected molecular structures, and we propose an algorithm for tracking the IFR over time and space using a variant of Kabsch’s algorithm. This approach lets us generate a consistent space for the aggregation of the SDF for molecular trajectories and molecular ensembles. We demonstrate the usefulness of the technique by applying it to temporal molecular trajectories as well as ensemble datasets. The examples include different docking scenarios with DNA, insulin, and aspirin.", "title": "Tracking Internal Frames of Reference for Consistent Molecular Distribution Functions", "normalizedTitle": "Tracking Internal Frames of Reference for Consistent Molecular Distribution Functions", "fno": "09324971", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Biochemistry", "DNA", "Molecular Biophysics", "Molecular Configurations", "Molecular Dynamics Method", "Proteins", "Consistent Molecular Distribution Functions", "Molecular Analysis", "Spatial Distribution Functions", "SDF", "Spatial Occurrences", "Atomic Structures", "Molecular Trajectory", "Hydrophobic Regions", "Hydrophilic Regions", "Molecular Reference Structures", "Internal Frame", "IFR", "Molecular Ensembles", "Temporal Molecular Trajectories", "DNA", "Insulin", "Aspirin", "Kabsch Algorithm", "Distribution Functions", "Trajectory", "Visualization", "Graphical Models", "Numerical Models", "Shape", "Periodic Structures", "Molecule Visualization", "Molecular Dynamics", "Interactive Exploration" ], "authors": [ { "givenName": "Robin", "surname": "Skanberg", "fullName": "Robin Skanberg", "affiliation": "Scientific Visualization Group, Linköping University, Linköping, Sweden", "__typename": "ArticleAuthorType" }, { "givenName": "Martin", "surname": "Falk", "fullName": "Martin Falk", "affiliation": "Scientific Visualization Group, Linköping University, Linköping, Sweden", "__typename": "ArticleAuthorType" }, { "givenName": "Mathieu", "surname": "Linares", "fullName": "Mathieu Linares", "affiliation": "Scientific Visualization Group, Linköping University, Linköping, Sweden", "__typename": "ArticleAuthorType" }, { "givenName": "Anders", "surname": "Ynnerman", "fullName": "Anders Ynnerman", "affiliation": "Scientific Visualization Group, Linköping University, Linköping, Sweden", "__typename": "ArticleAuthorType" }, { "givenName": "Ingrid", "surname": "Hotz", "fullName": "Ingrid Hotz", "affiliation": "Scientific Visualization Group, Linköping University, Linköping, Sweden", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "09", "pubDate": "2022-09-01 00:00:00", "pubType": "trans", "pages": "3126-3137", "year": "2022", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/varms-ieeevr/2015/6926/0/07151725", "title": "Enhancing visualization of molecular simulations using sonification", "doi": null, "abstractUrl": "/proceedings-article/varms-ieeevr/2015/07151725/12OmNx0A7CV", "parentPublication": { "id": "proceedings/varms-ieeevr/2015/6926/0", "title": "2015 IEEE 1st International Workshop on Virtual and Augmented Reality for Molecular Science (VARMS@IEEEVR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2015/6879/0/07156384", "title": "Illustrative Timelapse: A technique for illustrative visualization of particle-based simulations", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2015/07156384/12OmNxvwoWj", "parentPublication": { "id": "proceedings/pacificvis/2015/6879/0", "title": "2015 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hicss/1991/9999/1/00183940", "title": "Physically-based surface modeling using flexible wire frames", "doi": null, "abstractUrl": "/proceedings-article/hicss/1991/00183940/12OmNyRg49h", "parentPublication": { "id": "proceedings/hicss/1991/9999/1", "title": "Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/xsw/2013/3691/0/3691a043", "title": "Early experiences scaling VMD molecular visualization and analysis jobs on blue waters", "doi": null, "abstractUrl": "/proceedings-article/xsw/2013/3691a043/12OmNzTppHR", "parentPublication": { "id": "proceedings/xsw/2013/3691/0", "title": "2013 Extreme Scaling Workshop (XSW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2012/02/ttb2012020476", "title": "Molecular Dynamics Trajectory Compression with a Coarse-Grained Model", "doi": null, "abstractUrl": "/journal/tb/2012/02/ttb2012020476/13rRUwjXZQI", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/dt/2014/01/06616581", "title": "Pursuing Coordinated Trajectory Progression and Efficient Resource Utilization of GPU-Enabled Molecular Dynamics Simulations", "doi": null, "abstractUrl": "/magazine/dt/2014/01/06616581/13rRUy08Mu2", "parentPublication": { "id": "mags/dt", "title": "IEEE Design & Test of Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08456856", "title": "Visualization of Large Molecular Trajectories", "doi": null, "abstractUrl": "/journal/tg/2019/01/08456856/17D45Xbl4Qi", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bigmm/2019/5527/0/552700a309", "title": "TraV: An Interactive Exploration System for Massive Trajectory Data", "doi": null, "abstractUrl": "/proceedings-article/bigmm/2019/552700a309/1fHjKj4gCBi", "parentPublication": { "id": "proceedings/bigmm/2019/5527/0", "title": "2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2019/4803/0/480300c375", "title": "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs", "doi": null, "abstractUrl": "/proceedings-article/iccv/2019/480300c375/1hVlKuv24fK", "parentPublication": { "id": "proceedings/iccv/2019/4803/0", "title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icci*cc/2020/9594/0/09450249", "title": "Analysis of a New 3-D Chaotic System with a Self-Excited Attractor", "doi": null, "abstractUrl": "/proceedings-article/icci*cc/2020/09450249/1uqFNkW5TPi", "parentPublication": { "id": "proceedings/icci*cc/2020/9594/0", "title": "2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09321747", "articleId": "1qmbmWE93ZS", "__typename": "AdjacentArticleType" }, "next": { "fno": "09328611", "articleId": "1qw8PKtWLSM", 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{ "issue": { "id": "12OmNxb5hpx", "title": "May/June", "year": "2009", "issueNum": "03", "idPrefix": "cg", "pubType": "magazine", "volume": "29", "label": "May/June", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUNvyans", "doi": "10.1109/MCG.2009.49", "abstract": "Understanding how analysts use visual-analytics (VA) tools can help reveal their reasoning processes when using these tools. By examining analysts' interaction logs, the authors identified the analysts' strategies, methods, and findings when using a financial VA tool.", "abstracts": [ { "abstractType": "Regular", "content": "Understanding how analysts use visual-analytics (VA) tools can help reveal their reasoning processes when using these tools. By examining analysts' interaction logs, the authors identified the analysts' strategies, methods, and findings when using a financial VA tool.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Understanding how analysts use visual-analytics (VA) tools can help reveal their reasoning processes when using these tools. By examining analysts' interaction logs, the authors identified the analysts' strategies, methods, and findings when using a financial VA tool.", "title": "Recovering Reasoning Processes from User Interactions", "normalizedTitle": "Recovering Reasoning Processes from User Interactions", "fno": "mcg2009030052", "hasPdf": true, "idPrefix": "cg", "keywords": [ "User Evaluation", "Interaction", "Visual Analytics", "Reasoning Process" ], "authors": [ { "givenName": "Wenwen", "surname": "Dou", "fullName": "Wenwen Dou", "affiliation": "University of North Carolina, Charlotte", "__typename": "ArticleAuthorType" }, { "givenName": "Dong Hyun", "surname": "Jeong", "fullName": "Dong Hyun Jeong", "affiliation": "University of North Carolina, Charlotte", "__typename": "ArticleAuthorType" }, { "givenName": "Felesia", "surname": "Stukes", "fullName": "Felesia Stukes", "affiliation": "University of North Carolina, Charlotte", "__typename": "ArticleAuthorType" }, { "givenName": "William", "surname": "Ribarsky", "fullName": "William Ribarsky", "affiliation": "University of North Carolina, Charlotte", "__typename": "ArticleAuthorType" }, { "givenName": "Heather Richter", "surname": "Lipford", "fullName": "Heather Richter Lipford", "affiliation": "University of North Carolina, Charlotte", "__typename": "ArticleAuthorType" }, { "givenName": "Remco", "surname": "Chang", "fullName": "Remco Chang", "affiliation": "University of North Carolina, Charlotte", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "03", "pubDate": "2009-05-01 00:00:00", "pubType": "mags", "pages": "52-61", "year": "2009", "issn": "0272-1716", "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": "trans/tg/2011/04/ttg2011040440", "title": "Forecasting Hotspots—A Predictive Analytics Approach", "doi": null, "abstractUrl": "/journal/tg/2011/04/ttg2011040440/13rRUwdrdSv", "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/2007/05/mcg2007050046", "title": "nSpace and GeoTime: A VAST 2006 Case Study", "doi": null, "abstractUrl": "/magazine/cg/2007/05/mcg2007050046/13rRUxZRbrN", "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": "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/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": "proceedings/trex/2021/1817/0/181700a014", "title": "Making and Trusting Decisions in Visual Analytics", "doi": null, "abstractUrl": "/proceedings-article/trex/2021/181700a014/1yQB6h3HL6o", "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": "mcg2009030039", "articleId": "13rRUB7a13y", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2009030076", "articleId": "13rRUyfKIKz", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNqHItJe", "title": "May-June", "year": "2015", "issueNum": "03", "idPrefix": "cg", "pubType": "magazine", "volume": "35", "label": "May-June", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxBrGjv", "doi": "10.1109/MCG.2015.64", "abstract": "The growing volumes of time-stamped data available from sensors, social media sources, Web logs, and medical histories present remarkable opportunities for researchers and policy analysts. Although big data resources can provide valuable insights to help us understand complex systems and lead to better decisions for business, national security, cybersecurity, and healthcare, there are many challenges to dealing with the volume and variety of data. Data cleaning and data wrangling has received some attention with the development of application tools, but data focusing to sharpen the analytic focus remains a challenge. To address this challenge, this article provides a taxonomy of analytic focusing strategies for temporal event sequences.", "abstracts": [ { "abstractType": "Regular", "content": "The growing volumes of time-stamped data available from sensors, social media sources, Web logs, and medical histories present remarkable opportunities for researchers and policy analysts. Although big data resources can provide valuable insights to help us understand complex systems and lead to better decisions for business, national security, cybersecurity, and healthcare, there are many challenges to dealing with the volume and variety of data. Data cleaning and data wrangling has received some attention with the development of application tools, but data focusing to sharpen the analytic focus remains a challenge. To address this challenge, this article provides a taxonomy of analytic focusing strategies for temporal event sequences.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The growing volumes of time-stamped data available from sensors, social media sources, Web logs, and medical histories present remarkable opportunities for researchers and policy analysts. Although big data resources can provide valuable insights to help us understand complex systems and lead to better decisions for business, national security, cybersecurity, and healthcare, there are many challenges to dealing with the volume and variety of data. Data cleaning and data wrangling has received some attention with the development of application tools, but data focusing to sharpen the analytic focus remains a challenge. To address this challenge, this article provides a taxonomy of analytic focusing strategies for temporal event sequences.", "title": "Sharpening Analytic Focus to Cope with Big Data Volume and Variety", "normalizedTitle": "Sharpening Analytic Focus to Cope with Big Data Volume and Variety", "fno": "mcg2015030010", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Big Data", "Data Analysis", "Big Data Volume", "Data Focusing", "Analytic Focusing Strategies", "Event Sequences", "Visual Analytics", "Data Visualization", "Medical Diagnostic Imaging", "Social Network Services", "Computer Graphics", "Visualization", "Big Data", "Data Cleaning", "Analytic Focusing", "Visual Analytics", "Visual Analytics Tools" ], "authors": [ { "givenName": "Ben", "surname": "Shneiderman", "fullName": "Ben Shneiderman", "affiliation": "University of Maryland", "__typename": "ArticleAuthorType" }, { "givenName": "Catherine", "surname": "Plaisant", "fullName": "Catherine Plaisant", "affiliation": "University of Maryland", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "03", "pubDate": "2015-05-01 00:00:00", "pubType": "mags", "pages": "10-14", "year": "2015", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/vast/2006/0591/0/04035747", "title": "Interactive Visual Synthesis of Analytic Knowledge", "doi": null, "abstractUrl": "/proceedings-article/vast/2006/04035747/12OmNrMZpEE", "parentPublication": { "id": "proceedings/vast/2006/0591/0", "title": "2006 IEEE Symposium On Visual Analytics Science And Technology", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vast/2016/5661/0/07883508", "title": "C2A: Crowd consensus analytics for virtual colonoscopy", "doi": null, "abstractUrl": "/proceedings-article/vast/2016/07883508/12OmNvTBB47", "parentPublication": { "id": "proceedings/vast/2016/5661/0", "title": "2016 IEEE Conference on Visual Analytics Science and Technology (VAST)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2014/2874/0/2874a330", "title": "WeiboEvents: A Crowd Sourcing Weibo Visual Analytic System", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2014/2874a330/12OmNweTvM5", "parentPublication": { "id": "proceedings/pacificvis/2014/2874/0", "title": "2014 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vahc/2017/3187/0/08387494", "title": "Patient-provider geographic map: An interactive visualization tool of patients' selection of health care providers", "doi": null, "abstractUrl": "/proceedings-article/vahc/2017/08387494/12OmNzcPAKL", "parentPublication": { "id": "proceedings/vahc/2017/3187/0", "title": "2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2017/05/mcg2017050028", "title": "ANALYTiC: An Active Learning System for Trajectory Classification", "doi": null, "abstractUrl": "/magazine/cg/2017/05/mcg2017050028/13rRUEgs2vI", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07429778", "title": "Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus", "doi": null, "abstractUrl": "/journal/tg/2017/06/07429778/13rRUwjGoG9", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2006/05/v0933", "title": "Importance-Driven Focus of Attention", "doi": null, 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{ "issue": { "id": "1HMOit1lSk8", "title": "Dec.", "year": "2022", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "28", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1vzYfkJCG64", "doi": "10.1109/TVCG.2021.3100413", "abstract": "Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of applications ranging from electronic health records to network logs, with the characteristics of large-scale, high-dimensional and heterogeneous. This high complexity of event sequence data makes it difficult for analysts to manually explore and find patterns, resulting in ever-increasing needs for computational and perceptual aids from visual analytics techniques to extract and communicate insights from event sequence datasets. In this paper, we review the state-of-the-art visual analytics approaches, characterize them with our proposed design space, and categorize them based on analytical tasks and applications. From our review of relevant literature, we have also identified several remaining research challenges and future research opportunities.", "abstracts": [ { "abstractType": "Regular", "content": "Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of applications ranging from electronic health records to network logs, with the characteristics of large-scale, high-dimensional and heterogeneous. This high complexity of event sequence data makes it difficult for analysts to manually explore and find patterns, resulting in ever-increasing needs for computational and perceptual aids from visual analytics techniques to extract and communicate insights from event sequence datasets. In this paper, we review the state-of-the-art visual analytics approaches, characterize them with our proposed design space, and categorize them based on analytical tasks and applications. From our review of relevant literature, we have also identified several remaining research challenges and future research opportunities.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of applications ranging from electronic health records to network logs, with the characteristics of large-scale, high-dimensional and heterogeneous. This high complexity of event sequence data makes it difficult for analysts to manually explore and find patterns, resulting in ever-increasing needs for computational and perceptual aids from visual analytics techniques to extract and communicate insights from event sequence datasets. In this paper, we review the state-of-the-art visual analytics approaches, characterize them with our proposed design space, and categorize them based on analytical tasks and applications. From our review of relevant literature, we have also identified several remaining research challenges and future research opportunities.", "title": "Survey on Visual Analysis of Event Sequence Data", "normalizedTitle": "Survey on Visual Analysis of Event Sequence Data", "fno": "09497654", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Computational Complexity", "Data Analysis", "Data Visualisation", "Analytical Tasks", "Discrete Events", "Electronic Health Records", "Event Sequence Data Record Series", "Event Sequence Datasets", "Visual Analysis", "Visual Analytics Approaches", "Visual Analytics Techniques", "Data Visualization", "Visual Analytics", "Event Detection", "Data Mining", "Sequences", "Medical Diagnostic Imaging", "Visual Analysis", "Event Sequences", "Visualization" ], "authors": [ { "givenName": "Yi", "surname": "Guo", "fullName": "Yi Guo", "affiliation": "Intelligent Big Data Visualization Lab, Tongji University, Shanghai, China", "__typename": "ArticleAuthorType" }, { "givenName": "Shunan", "surname": "Guo", "fullName": "Shunan Guo", "affiliation": "Intelligent Big Data Visualization Lab, Tongji University, Shanghai, China", "__typename": "ArticleAuthorType" }, { "givenName": "Zhuochen", "surname": "Jin", "fullName": "Zhuochen Jin", "affiliation": "Intelligent Big Data Visualization Lab, Tongji University, Shanghai, China", "__typename": "ArticleAuthorType" }, { "givenName": "Smiti", "surname": "Kaul", "fullName": "Smiti Kaul", "affiliation": "Visual Analysis and Communication Lab, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA", "__typename": "ArticleAuthorType" }, { "givenName": "David", "surname": "Gotz", "fullName": "David Gotz", "affiliation": "Visual Analysis and Communication Lab, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Nan", "surname": "Cao", "fullName": "Nan Cao", "affiliation": "Intelligent Big Data Visualization Lab, Tongji University, Shanghai, China", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2022-12-01 00:00:00", "pubType": "trans", "pages": "5091-5112", "year": "2022", "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/cvpr/2014/5118/0/5118c235", "title": "Temporal Sequence Modeling for Video Event Detection", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2014/5118c235/12OmNs5rkNi", "parentPublication": { "id": "proceedings/cvpr/2014/5118/0", "title": "2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07429778", "title": "Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus", "doi": null, "abstractUrl": "/journal/tg/2017/06/07429778/13rRUwjGoG9", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/12/06875996", "title": "DecisionFlow: Visual Analytics for High-Dimensional Temporal Event Sequence Data", "doi": null, "abstractUrl": "/journal/tg/2014/12/06875996/13rRUxE04tA", "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": "trans/tg/5555/01/09745848", "title": "A Model for Types and Levels of Automation in Visual Analytics: a Survey, a Taxonomy, and Examples", "doi": null, "abstractUrl": "/journal/tg/5555/01/09745848/1CbVnSejsjK", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08807220", "title": "Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation", "doi": null, "abstractUrl": "/journal/tg/2020/01/08807220/1cG6bfa8KkM", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__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": "proceedings/vast/2020/8009/0/800900a036", "title": "Visual Analytics of Multivariate Event Sequence Data in Racquet Sports", "doi": null, "abstractUrl": "/proceedings-article/vast/2020/800900a036/1q7jwkJx00U", "parentPublication": { "id": "proceedings/vast/2020/8009/0", "title": "2020 IEEE Conference on Visual Analytics Science and Technology (VAST)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/12/09468958", "title": "Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison", "doi": null, "abstractUrl": "/journal/tg/2022/12/09468958/1uR9IWtyEi4", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09495125", "articleId": "1vyju4jl6AE", "__typename": "AdjacentArticleType" }, "next": { "fno": "09506837", "articleId": "1vNfMDGrQUU", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "1HMOxqnICuk", "name": "ttg202212-09497654s1-supp1-3100413.pdf", "location": "https://www.computer.org/csdl/api/v1/extra/ttg202212-09497654s1-supp1-3100413.pdf", "extension": "pdf", "size": "88.7 kB", "__typename": "WebExtraType" } ], 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{ "issue": { "id": "12OmNqESuij", "title": "May", "year": "2012", "issueNum": "05", "idPrefix": "tg", "pubType": "journal", "volume": "18", "label": "May", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUNvyaeX", "doi": "10.1109/TVCG.2010.257", "abstract": "This paper proposes a new methodology for synthesizing animations of multiple characters, allowing them to intelligently compete with one another in dense environments, while still satisfying requirements set by an animator. To achieve these two conflicting objectives simultaneously, our method separately evaluates the competition and collaboration of the interactions, integrating the scores to select an action that maximizes both criteria. We extend the idea of min-max search, normally used for strategic games such as chess. Using our method, animators can efficiently produce scenes of dense character interactions such as those in collective sports or martial arts. The method is especially effective for producing animations along story lines, where the characters must follow multiple objectives, while still accommodating geometric and kinematic constraints from the environment.", "abstracts": [ { "abstractType": "Regular", "content": "This paper proposes a new methodology for synthesizing animations of multiple characters, allowing them to intelligently compete with one another in dense environments, while still satisfying requirements set by an animator. To achieve these two conflicting objectives simultaneously, our method separately evaluates the competition and collaboration of the interactions, integrating the scores to select an action that maximizes both criteria. We extend the idea of min-max search, normally used for strategic games such as chess. Using our method, animators can efficiently produce scenes of dense character interactions such as those in collective sports or martial arts. The method is especially effective for producing animations along story lines, where the characters must follow multiple objectives, while still accommodating geometric and kinematic constraints from the environment.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "This paper proposes a new methodology for synthesizing animations of multiple characters, allowing them to intelligently compete with one another in dense environments, while still satisfying requirements set by an animator. To achieve these two conflicting objectives simultaneously, our method separately evaluates the competition and collaboration of the interactions, integrating the scores to select an action that maximizes both criteria. We extend the idea of min-max search, normally used for strategic games such as chess. Using our method, animators can efficiently produce scenes of dense character interactions such as those in collective sports or martial arts. The method is especially effective for producing animations along story lines, where the characters must follow multiple objectives, while still accommodating geometric and kinematic constraints from the environment.", "title": "Simulating Multiple Character Interactions with Collaborative and Adversarial Goals", "normalizedTitle": "Simulating Multiple Character Interactions with Collaborative and Adversarial Goals", "fno": "ttg2012050741", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Computer Animation", "Minimax Techniques", "Search Problems", "Multiple Character Interaction Simulation", "Collaborative Goal", "Adversarial Goal", "Multiple Character Animation Synthesis", "Interaction Competition", "Interaction Collaboration", "Min Max Search", "Strategic Game", "Dense Character Interaction", "Collective Sports", "Martial Arts", "Animation Production", "Geometric Constraint", "Kinematic Constraint", "Games", "Animation", "Computational Modeling", "Motion Segmentation", "Optimization", "Equations", "Electronic Mail", "Character Animation", "Character Interaction" ], "authors": [ { "givenName": "Hubert P.H.", "surname": "Shum", "fullName": "Hubert P.H. Shum", "affiliation": "RIKEN, Wako", "__typename": "ArticleAuthorType" }, { "givenName": "Taku", "surname": "Komura", "fullName": "Taku Komura", "affiliation": "University of Edinburgh, Edinburgh", "__typename": "ArticleAuthorType" }, { "givenName": "Shuntaro", "surname": "Yamazaki", "fullName": "Shuntaro Yamazaki", "affiliation": "AIST, Tokyo", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2012-05-01 00:00:00", "pubType": "trans", "pages": "741-752", "year": "2012", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iccms/2009/3562/0/3562a152", "title": "Edutainment -- Thai Art of Self-Defense and Boxing by Motion Capture Technique", "doi": null, "abstractUrl": "/proceedings-article/iccms/2009/3562a152/12OmNBAIAO7", "parentPublication": { "id": "proceedings/iccms/2009/3562/0", "title": "2009 International Conference on Computer Modeling and Simulation. ICCMS 2009", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cgames/2013/0820/0/06632600", "title": "Measuring the steps: Generating action transitions between locomotion behaviours", "doi": null, "abstractUrl": "/proceedings-article/cgames/2013/06632600/12OmNBNM8VZ", "parentPublication": { "id": "proceedings/cgames/2013/0820/0", "title": "2013 18th International Conference on Computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational & Serious Games (CGAMES)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icse/2005/963/0/01553648", "title": "Fluent-based Web animation: exploring goals for requirements validation", "doi": null, "abstractUrl": "/proceedings-article/icse/2005/01553648/12OmNBgz4zk", "parentPublication": { "id": "proceedings/icse/2005/963/0", "title": "27th International Conference on Software Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icme/2004/8603/1/01394180", "title": "On automatic actions retrieval of martial arts", "doi": null, "abstractUrl": "/proceedings-article/icme/2004/01394180/12OmNvjQ8IJ", "parentPublication": { "id": "proceedings/icme/2004/8603/1", "title": "2004 IEEE International Conference on Multimedia and Expo (ICME)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icsc/2015/7935/0/07050808", "title": "Estimation of character diagram from open-movie databases for cultural understanding", "doi": null, "abstractUrl": "/proceedings-article/icsc/2015/07050808/12OmNwlHSZK", "parentPublication": { "id": "proceedings/icsc/2015/7935/0", "title": "2015 IEEE International Conference on Semantic Computing (ICSC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07433460", "title": "Multi-Character Physical and Behavioral Interactions Controller", "doi": null, "abstractUrl": "/journal/tg/2017/06/07433460/13rRUwInvyF", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2008/03/ttg2008030707", "title": "Two-Character Motion Analysis and Synthesis", "doi": null, "abstractUrl": "/journal/tg/2008/03/ttg2008030707/13rRUxYrbM8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/5555/01/10076832", "title": "StyleVR: Stylizing Character Animations with Normalizing Flows", "doi": null, "abstractUrl": "/journal/tg/5555/01/10076832/1LFQ6Ir6DEQ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icvrv/2019/4752/0/09213044", "title": "Multiple Character Motion Adaptation in Virtual Cities Using Procedural Animation", "doi": null, "abstractUrl": "/proceedings-article/icvrv/2019/09213044/1nHRVadEuac", "parentPublication": { "id": "proceedings/icvrv/2019/4752/0", "title": "2019 International Conference on Virtual Reality and Visualization (ICVRV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/02/09551755", "title": "A Music-Driven Deep Generative Adversarial Model for Guzheng Playing Animation", "doi": null, "abstractUrl": "/journal/tg/2023/02/09551755/1xgx3sOEUXS", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2012050729", "articleId": "13rRUxjyX3X", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2012050753", "articleId": "13rRUxly8XF", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNvmXJ42", "title": "July/August", "year": "2011", "issueNum": "04", "idPrefix": "cg", "pubType": "magazine", "volume": "31", "label": "July/August", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwjoNzG", "doi": "10.1109/MCG.2010.22", "abstract": "To significantly improve the visual quality of certain types of animated 3D character motion, a proposed graphics system infers physical properties and corrects the results by using dynamics. The system visualizes these physical characteristics and provides information not normally available to traditional 3D animators, such as the center of mass, angular momentum, and zero moment point. By comparing the original path generated by an animator to a proper physically based path generated by the system, animators can interactively modify the original path to more closely match the system-generated path. This often produces better character motion. Users can adjust two types of motion: animations involving ballistic paths, such as falling and jumping, and animations involving movement requiring balance and posture, such as walking or running. A professional software system integrates this method for use in a visual effects studio that incorporates live action with 3D animated characters in feature films. Research shows that from 10 to 16 percent of the shots of a character-heavy feature film will incorporate ballistic motions that the system might improve. The Web extra is a video demonstrating an interactive system that helps animators create physically plausible character motions. You can also view the video on YouTube here: http://www.youtube.com/watch?v=-0OhS6Y5YX4", "abstracts": [ { "abstractType": "Regular", "content": "To significantly improve the visual quality of certain types of animated 3D character motion, a proposed graphics system infers physical properties and corrects the results by using dynamics. The system visualizes these physical characteristics and provides information not normally available to traditional 3D animators, such as the center of mass, angular momentum, and zero moment point. By comparing the original path generated by an animator to a proper physically based path generated by the system, animators can interactively modify the original path to more closely match the system-generated path. This often produces better character motion. Users can adjust two types of motion: animations involving ballistic paths, such as falling and jumping, and animations involving movement requiring balance and posture, such as walking or running. A professional software system integrates this method for use in a visual effects studio that incorporates live action with 3D animated characters in feature films. Research shows that from 10 to 16 percent of the shots of a character-heavy feature film will incorporate ballistic motions that the system might improve. The Web extra is a video demonstrating an interactive system that helps animators create physically plausible character motions. You can also view the video on YouTube here: http://www.youtube.com/watch?v=-0OhS6Y5YX4", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "To significantly improve the visual quality of certain types of animated 3D character motion, a proposed graphics system infers physical properties and corrects the results by using dynamics. The system visualizes these physical characteristics and provides information not normally available to traditional 3D animators, such as the center of mass, angular momentum, and zero moment point. By comparing the original path generated by an animator to a proper physically based path generated by the system, animators can interactively modify the original path to more closely match the system-generated path. This often produces better character motion. Users can adjust two types of motion: animations involving ballistic paths, such as falling and jumping, and animations involving movement requiring balance and posture, such as walking or running. A professional software system integrates this method for use in a visual effects studio that incorporates live action with 3D animated characters in feature films. Research shows that from 10 to 16 percent of the shots of a character-heavy feature film will incorporate ballistic motions that the system might improve. The Web extra is a video demonstrating an interactive system that helps animators create physically plausible character motions. You can also view the video on YouTube here: http://www.youtube.com/watch?v=-0OhS6Y5YX4", "title": "Practical Character Physics for Animators", "normalizedTitle": "Practical Character Physics for Animators", "fno": "mcg2011040045", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Physics", "Animation", "Character Generation", "Kinematics", "Data Visualization", "Visual Effects", "Fluid Dynamics", "Computer Graphics", "Legged Locomotion", "Three Dimensional Displays", "Graphics And Multimedia", "Physical Simulation", "Character Animation", "Computer Graphics" ], "authors": [ { "givenName": "Ari", "surname": "Shapiro", "fullName": "Ari Shapiro", "affiliation": "Institute for Creative Technologies", "__typename": "ArticleAuthorType" }, { "givenName": "Sung-Hee", "surname": "Lee", "fullName": "Sung-Hee Lee", "affiliation": "Gwangju Institute of Science and Technology", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "04", "pubDate": "2011-07-01 00:00:00", "pubType": "mags", "pages": "45-55", "year": "2011", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/dmdcm/2011/4413/0/4413a086", "title": "A Review of Dynamic Motion Control Considering Physics for Real Time Animation Character", "doi": null, "abstractUrl": "/proceedings-article/dmdcm/2011/4413a086/12OmNBJeyHe", "parentPublication": { "id": "proceedings/dmdcm/2011/4413/0", "title": "Digital Media and Digital Content Management, Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icicm/2013/5133/0/5133a321", "title": "Exploring Believable Character Animation Based on Principles of Animation and Acting", "doi": null, "abstractUrl": "/proceedings-article/icicm/2013/5133a321/12OmNBaBuRm", "parentPublication": { "id": "proceedings/icicm/2013/5133/0", "title": "2013 International Conference on Informatics and Creative Multimedia (ICICM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/isuvr/2010/4124/0/4124a012", "title": "Physics-Based Character Animation for AR Applications", "doi": null, "abstractUrl": "/proceedings-article/isuvr/2010/4124a012/12OmNzzP5BN", "parentPublication": { "id": "proceedings/isuvr/2010/4124/0", "title": "International Symposium on Ubiquitous Virtual Reality", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2011/04/05934840", "title": "Direct Control of Simulated Nonhuman Characters", "doi": null, "abstractUrl": "/magazine/cg/2011/04/05934840/13rRUILtJtD", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/05/ttg2012050741", "title": "Simulating Multiple Character Interactions with Collaborative and Adversarial Goals", "doi": null, "abstractUrl": "/journal/tg/2012/05/ttg2012050741/13rRUNvyaeX", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2017/01/mcg2017010070", "title": "Improving 3D Character Posing with a Gestural Interface", "doi": null, "abstractUrl": "/magazine/cg/2017/01/mcg2017010070/13rRUwInv9a", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vrw/2022/8402/0/840200a056", "title": "Physics-based character animation for Virtual Reality", "doi": null, "abstractUrl": "/proceedings-article/vrw/2022/840200a056/1CJdEcF4PjG", "parentPublication": { "id": "proceedings/vrw/2022/8402/0", "title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ism/2022/7172/0/717200a218", "title": "Emotionally Expressive Motion Controller for Virtual Character Locomotion Animations", "doi": null, "abstractUrl": "/proceedings-article/ism/2022/717200a218/1KaHFw8d8VW", "parentPublication": { "id": "proceedings/ism/2022/7172/0", "title": "2022 IEEE International Symposium on Multimedia (ISM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vs-games/2019/4540/0/08864530", "title": "Immersive Simulation and Training of Person-to-3D Character Dance in Real-Time", "doi": null, "abstractUrl": "/proceedings-article/vs-games/2019/08864530/1e5ZqMvxwiY", "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/svr/2020/9231/0/923100a321", "title": "Components of the LMA as a design tool for expressive movement and gesture construction", "doi": null, "abstractUrl": "/proceedings-article/svr/2020/923100a321/1oZBAMOamdO", "parentPublication": { "id": "proceedings/svr/2020/9231/0", "title": "2020 22nd Symposium on Virtual and Augmented Reality (SVR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2011040034", "articleId": "13rRUxN5eyh", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2011040056", "articleId": "13rRUwInv93", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "17ShDTXnFtT", "name": "mcg2011040045s1.mov", "location": "https://www.computer.org/csdl/api/v1/extra/mcg2011040045s1.mov", "extension": "mov", "size": "28.1 MB", "__typename": "WebExtraType" } ], "articleVideos": [] }
{ "issue": { "id": "12OmNzcPAlT", "title": "March", "year": "2009", "issueNum": "01", "idPrefix": "ci", "pubType": "journal", "volume": "1", "label": "March", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxYINaP", "doi": "10.1109/TCIAIG.2009.2019631", "abstract": "In this paper, we describe Twig, a fast, AI-friendly procedural animation system that supports easy authoring of new behaviors. The system provides a simplified dynamic simulation that is specifically designed to be easy to control. Characters are controlled by applying external forces directly to body parts, rather than by simulating joint torques. This ldquopuppetry-stylerdquo of control provides the simplicity of kinematic control within an otherwise dynamic simulation. Although less realistic than motion capture or full biomechanical simulation, Twig produces compelling, responsive character behavior. Moreover, it is fast, stable, supports believable physical interactions between characters such as hugging, punching, and dragging, and makes it easy to author new behaviors.", "abstracts": [ { "abstractType": "Regular", "content": "In this paper, we describe Twig, a fast, AI-friendly procedural animation system that supports easy authoring of new behaviors. The system provides a simplified dynamic simulation that is specifically designed to be easy to control. Characters are controlled by applying external forces directly to body parts, rather than by simulating joint torques. This ldquopuppetry-stylerdquo of control provides the simplicity of kinematic control within an otherwise dynamic simulation. Although less realistic than motion capture or full biomechanical simulation, Twig produces compelling, responsive character behavior. Moreover, it is fast, stable, supports believable physical interactions between characters such as hugging, punching, and dragging, and makes it easy to author new behaviors.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "In this paper, we describe Twig, a fast, AI-friendly procedural animation system that supports easy authoring of new behaviors. The system provides a simplified dynamic simulation that is specifically designed to be easy to control. Characters are controlled by applying external forces directly to body parts, rather than by simulating joint torques. This ldquopuppetry-stylerdquo of control provides the simplicity of kinematic control within an otherwise dynamic simulation. Although less realistic than motion capture or full biomechanical simulation, Twig produces compelling, responsive character behavior. Moreover, it is fast, stable, supports believable physical interactions between characters such as hugging, punching, and dragging, and makes it easy to author new behaviors.", "title": "Lightweight procedural animation with believable physical interactions", "normalizedTitle": "Lightweight procedural animation with believable physical interactions", "fno": "04812073", "hasPdf": true, "idPrefix": "ci", "keywords": [ "Artificial Intelligence", "Computer Animation", "Lightweight Procedural Animation", "Believable Physical Interactions", "Twig", "Artificial Intelligence", "Dynamic Simulation", "Puppetry Style", "Kinematic Control", "Interactive Narrative", "Virtual Character", "Animation", "Automatic Control", "Computational Modeling", "Motion Control", "Control System Synthesis", "Control Systems", "Force Control", "Torque Control", "Kinematics", "Toy Industry", "Interactive Narrative", "Procedural Animation", "Virtual Characters" ], "authors": [ { "givenName": "Ian Douglas", "surname": "Horswill", "fullName": "Ian Douglas Horswill", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2009-01-01 00:00:00", "pubType": "trans", "pages": "39-49", "year": "2009", "issn": "1943-068X", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/svr/2017/3588/0/3588a008", "title": "A Robust Balance Strategy Applied to Real-Time Animation Data with Kinect Sensor", "doi": null, "abstractUrl": "/proceedings-article/svr/2017/3588a008/12OmNAZx8Sa", "parentPublication": { "id": "proceedings/svr/2017/3588/0", "title": "2017 19th Symposium on Virtual and Augmented Reality (SVR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/acsat/2013/2758/0/2758a259", "title": "Template Based Procedural Rigging of Quadrupeds with Custom Manipulators", "doi": null, "abstractUrl": "/proceedings-article/acsat/2013/2758a259/12OmNC4wts4", "parentPublication": { "id": "proceedings/acsat/2013/2758/0", "title": "2013 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/sibgrapi/2000/0878/0/08780357", "title": "Planning Computer Modeled Animation: Towards an Animation Machine", "doi": null, "abstractUrl": "/proceedings-article/sibgrapi/2000/08780357/12OmNrIrPfs", "parentPublication": { "id": "proceedings/sibgrapi/2000/0878/0", "title": "Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cgiv/2006/2606/0/26060428", "title": "Facial Animation Using Emotional Model", "doi": null, "abstractUrl": "/proceedings-article/cgiv/2006/26060428/12OmNwCaCrJ", "parentPublication": { "id": "proceedings/cgiv/2006/2606/0", "title": "International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/svr/2014/4261/0/4261a020", "title": "Animation of Articulated Figures Controlled by Inverse Kinematics with Style", "doi": null, "abstractUrl": "/proceedings-article/svr/2014/4261a020/12OmNwGIcy1", "parentPublication": { "id": "proceedings/svr/2014/4261/0", "title": "2014 XVI Symposium on Virtual and Augmented Reality (SVR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/robot/1989/1938/0/00100195", "title": "Base parameters of dynamic models for manipulators with rotational and translational joints", "doi": null, "abstractUrl": "/proceedings-article/robot/1989/00100195/12OmNzkMlRZ", "parentPublication": { "id": "proceedings/robot/1989/1938/0", "title": "1989 IEEE International Conference on Robotics and Automation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07433460", "title": "Multi-Character Physical and Behavioral Interactions Controller", "doi": null, "abstractUrl": "/journal/tg/2017/06/07433460/13rRUwInvyF", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icpr/2022/9062/0/09956209", "title": "TMD: Transformed Mesh Decoder for Mesh Animation", "doi": null, "abstractUrl": "/proceedings-article/icpr/2022/09956209/1IHoFSd5BpS", "parentPublication": { "id": "proceedings/icpr/2022/9062/0", "title": "2022 26th International Conference on Pattern Recognition (ICPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vrw/2020/6532/0/09090677", "title": "PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation", "doi": null, "abstractUrl": "/proceedings-article/vrw/2020/09090677/1jIxxM75R4I", "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/cw/2021/4065/0/406500a113", "title": "Blending Collision Avoidance Animation in Synthetically Generated Locomotion", "doi": null, "abstractUrl": "/proceedings-article/cw/2021/406500a113/1yBF5oGhaoM", "parentPublication": { "id": "proceedings/cw/2021/4065/0", "title": "2021 International Conference on Cyberworlds (CW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "04811953", "articleId": "13rRUwwaKl2", "__typename": "AdjacentArticleType" }, "next": { "fno": "04804730", "articleId": "13rRUEgarvj", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNyxXlp2", "title": "July", "year": "2014", "issueNum": "07", "idPrefix": "tg", "pubType": "journal", "volume": "20", "label": "July", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUygBwhK", "doi": "10.1109/TVCG.2013.251", "abstract": "We present ADAPT, a flexible platform for designing and authoring functional, purposeful human characters in a rich virtual environment. Our framework incorporates character animation, navigation, and behavior with modular interchangeable components to produce narrative scenes. The animation system provides locomotion, reaching, gaze tracking, gesturing, sitting, and reactions to external physical forces, and can easily be extended with more functionality due to a decoupled, modular structure. The navigation component allows characters to maneuver through a complex environment with predictive steering for dynamic obstacle avoidance. Finally, our behavior framework allows a user to fully leverage a character’s animation and navigation capabilities when authoring both individual decision-making and complex interactions between actors using a centralized, event-driven model.", "abstracts": [ { "abstractType": "Regular", "content": "We present ADAPT, a flexible platform for designing and authoring functional, purposeful human characters in a rich virtual environment. Our framework incorporates character animation, navigation, and behavior with modular interchangeable components to produce narrative scenes. The animation system provides locomotion, reaching, gaze tracking, gesturing, sitting, and reactions to external physical forces, and can easily be extended with more functionality due to a decoupled, modular structure. The navigation component allows characters to maneuver through a complex environment with predictive steering for dynamic obstacle avoidance. Finally, our behavior framework allows a user to fully leverage a character’s animation and navigation capabilities when authoring both individual decision-making and complex interactions between actors using a centralized, event-driven model.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We present ADAPT, a flexible platform for designing and authoring functional, purposeful human characters in a rich virtual environment. Our framework incorporates character animation, navigation, and behavior with modular interchangeable components to produce narrative scenes. The animation system provides locomotion, reaching, gaze tracking, gesturing, sitting, and reactions to external physical forces, and can easily be extended with more functionality due to a decoupled, modular structure. The navigation component allows characters to maneuver through a complex environment with predictive steering for dynamic obstacle avoidance. Finally, our behavior framework allows a user to fully leverage a character’s animation and navigation capabilities when authoring both individual decision-making and complex interactions between actors using a centralized, event-driven model.", "title": "ADAPT: The Agent Developmentand Prototyping Testbed", "normalizedTitle": "ADAPT: The Agent Developmentand Prototyping Testbed", "fno": "06654163", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Animation", "Navigation", "Joints", "Collision Avoidance", "Torso", "Dynamics", "Virtual Humans", "Computer Graphics", "Animation", "Character Behavior" ], "authors": [ { "givenName": "Alexander", "surname": "Shoulson", "fullName": "Alexander Shoulson", "affiliation": "Department of Computer and Information Science, University of Pennsylvania, Philadelphia,", "__typename": "ArticleAuthorType" }, { "givenName": "Nathan", "surname": "Marshak", "fullName": "Nathan Marshak", "affiliation": "Department of Computer and Information Science, University of Pennsylvania, Philadelphia,", "__typename": "ArticleAuthorType" }, { "givenName": "Mubbasir", "surname": "Kapadia", "fullName": "Mubbasir Kapadia", "affiliation": "Department of Computer and Information Science, University of Pennsylvania, Philadelphia,", "__typename": "ArticleAuthorType" }, { "givenName": "Norman I.", "surname": "Badler", "fullName": "Norman I. Badler", "affiliation": "Department of Computer and Information Science, University of Pennsylvania, Philadelphia,", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "07", "pubDate": "2014-07-01 00:00:00", "pubType": "trans", "pages": "1035-1047", "year": "2014", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2015/7568/0/7568a480", "title": "Senescence: An Age-Based Character Simulation Framework", "doi": null, "abstractUrl": "/proceedings-article/iv/2015/7568a480/12OmNAOKnW2", "parentPublication": { "id": "proceedings/iv/2015/7568/0", "title": "2015 19th International Conference on Information Visualisation (iV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmew/2015/7079/0/07169830", "title": "RE@CT: A new production pipeline for interactive 3D content", "doi": null, "abstractUrl": "/proceedings-article/icmew/2015/07169830/12OmNBfqG6p", "parentPublication": { "id": "proceedings/icmew/2015/7079/0", "title": "2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ism/2016/4571/0/4571a271", "title": "Robust Human Animation Skeleton Extraction Using Compatibility and Correctness Constraints", "doi": null, "abstractUrl": "/proceedings-article/ism/2016/4571a271/12OmNBkxssH", "parentPublication": { "id": "proceedings/ism/2016/4571/0", "title": "2016 IEEE International Symposium on Multimedia (ISM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cisis/2012/4687/0/4687a741", "title": "An Avatar Motion Generation Method Based on Inverse Kinematics and Interactive Evolutionary Computation", "doi": null, "abstractUrl": "/proceedings-article/cisis/2012/4687a741/12OmNwO5LZL", "parentPublication": { "id": "proceedings/cisis/2012/4687/0", "title": "2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/1996/04/mcg1996040018", "title": "Collision-Free Object Movement Using Vector Fields", "doi": null, "abstractUrl": "/magazine/cg/1996/04/mcg1996040018/13rRUIJuxxO", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07433460", "title": "Multi-Character Physical and Behavioral Interactions Controller", "doi": null, "abstractUrl": "/journal/tg/2017/06/07433460/13rRUwInvyF", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/03/07742381", "title": "Learning Inverse Rig Mappings by Nonlinear Regression", "doi": null, "abstractUrl": "/journal/tg/2017/03/07742381/13rRUxC0SvZ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2019/1377/0/08797856", "title": "Real-time Animation and Motion Retargeting of Virtual Characters Based on Single RGB-D Camera", "doi": null, "abstractUrl": "/proceedings-article/vr/2019/08797856/1cJ1evLlHRm", "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/3dv/2019/3131/0/313100a298", "title": "Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets", "doi": null, "abstractUrl": "/proceedings-article/3dv/2019/313100a298/1ezRBwWMV0Y", "parentPublication": { "id": "proceedings/3dv/2019/3131/0", "title": "2019 International Conference on 3D Vision (3DV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vrw/2020/6532/0/09090677", "title": "PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation", "doi": null, "abstractUrl": "/proceedings-article/vrw/2020/09090677/1jIxxM75R4I", "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": "06613491", "articleId": "13rRUEgs2BX", "__typename": "AdjacentArticleType" }, "next": { "fno": "06767150", "articleId": "13rRUILtJmb", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNBcj5E9", "title": "January/February", "year": "2006", "issueNum": "01", "idPrefix": "tg", "pubType": "journal", "volume": "12", "label": "January/February", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUEgarsC", "doi": "10.1109/TVCG.2006.10", "abstract": "Abstract—The parameterization of a 3D mesh into a planar domain requires a distortion metric and a minimizing process. Most previous work has sought to minimize the average area distortion, the average angle distortion, or a combination of these. Typical distortion metrics can reflect the overall performance of parameterizations but discount high local deformations. This affects the performance of postprocessing operations such as uniform remeshing and texture mapping. This paper introduces a new metric that synthesizes the average distortions and the variances of both the area deformations and the angle deformations over an entire mesh. Experiments show that, when compared with previous work, the use of synthesized distortion metric performs satisfactorily in terms of both the average area deformation and the average angle deformation; furthermore, the area and angle deformations are distributed more uniformly. This paper also develops a new iterative process for minimizing the synthesized distortion, the coefficient-optimizing algorithm. At each iteration, rather than updating the positions immediately after the local optimization, the coefficient-optimizing algorithm first update the coefficients for the linear convex combination and then globally updates the positions by solving the Laplace system. The high performance of the coefficient-optimizing algorithm has been demonstrated in many experiments.", "abstracts": [ { "abstractType": "Regular", "content": "Abstract—The parameterization of a 3D mesh into a planar domain requires a distortion metric and a minimizing process. Most previous work has sought to minimize the average area distortion, the average angle distortion, or a combination of these. Typical distortion metrics can reflect the overall performance of parameterizations but discount high local deformations. This affects the performance of postprocessing operations such as uniform remeshing and texture mapping. This paper introduces a new metric that synthesizes the average distortions and the variances of both the area deformations and the angle deformations over an entire mesh. Experiments show that, when compared with previous work, the use of synthesized distortion metric performs satisfactorily in terms of both the average area deformation and the average angle deformation; furthermore, the area and angle deformations are distributed more uniformly. This paper also develops a new iterative process for minimizing the synthesized distortion, the coefficient-optimizing algorithm. At each iteration, rather than updating the positions immediately after the local optimization, the coefficient-optimizing algorithm first update the coefficients for the linear convex combination and then globally updates the positions by solving the Laplace system. The high performance of the coefficient-optimizing algorithm has been demonstrated in many experiments.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Abstract—The parameterization of a 3D mesh into a planar domain requires a distortion metric and a minimizing process. Most previous work has sought to minimize the average area distortion, the average angle distortion, or a combination of these. Typical distortion metrics can reflect the overall performance of parameterizations but discount high local deformations. This affects the performance of postprocessing operations such as uniform remeshing and texture mapping. This paper introduces a new metric that synthesizes the average distortions and the variances of both the area deformations and the angle deformations over an entire mesh. Experiments show that, when compared with previous work, the use of synthesized distortion metric performs satisfactorily in terms of both the average area deformation and the average angle deformation; furthermore, the area and angle deformations are distributed more uniformly. This paper also develops a new iterative process for minimizing the synthesized distortion, the coefficient-optimizing algorithm. At each iteration, rather than updating the positions immediately after the local optimization, the coefficient-optimizing algorithm first update the coefficients for the linear convex combination and then globally updates the positions by solving the Laplace system. The high performance of the coefficient-optimizing algorithm has been demonstrated in many experiments.", "title": "Mesh Parameterization by Minimizing the Synthesized Distortion Metric with the Coefficient-Optimizing Algorithm", "normalizedTitle": "Mesh Parameterization by Minimizing the Synthesized Distortion Metric with the Coefficient-Optimizing Algorithm", "fno": "v0083", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Mesh Parameterization", "Texture Mapping", "Barycentric Mapping", "Conformal Mapping", "Harmonic Mapping" ], "authors": [ { "givenName": "Jingqi", "surname": "Yan", "fullName": "Jingqi Yan", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Xin", "surname": "Yang", "fullName": "Xin Yang", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Pengfei", "surname": "Shi", "fullName": "Pengfei Shi", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "David", "surname": "Zhang", "fullName": "David Zhang", "affiliation": "IEEE", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2006-01-01 00:00:00", "pubType": "trans", "pages": "83-92", "year": "2006", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icmtma/2010/3962/3/3962e702", "title": "Survey on Planar Parameterization of Triangular Meshes", "doi": null, "abstractUrl": "/proceedings-article/icmtma/2010/3962e702/12OmNA1mbfa", "parentPublication": { "id": "proceedings/icmtma/2010/3962/3", "title": "2010 International Conference on Measuring Technology and Mechatronics Automation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2013/2840/0/2840c632", "title": "Geometric Registration Based on Distortion Estimation", "doi": null, "abstractUrl": "/proceedings-article/iccv/2013/2840c632/12OmNButq7h", "parentPublication": { "id": "proceedings/iccv/2013/2840/0", "title": "2013 IEEE International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dmdcm/2011/4413/0/4413a266", "title": "Direct Spherical Parameterization Based on Surface Curvature", "doi": null, "abstractUrl": "/proceedings-article/dmdcm/2011/4413a266/12OmNCeaPV9", "parentPublication": { "id": "proceedings/dmdcm/2011/4413/0", "title": "Digital Media and Digital Content Management, Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/smi/2004/2075/0/20750200", "title": "A Fast and Simple Stretch-Minimizing Mesh Parameterization", "doi": null, "abstractUrl": "/proceedings-article/smi/2004/20750200/12OmNqEAT3F", "parentPublication": { "id": "proceedings/smi/2004/2075/0", "title": "Proceedings. Shape Modeling International 2004", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2017/1032/0/1032f400", "title": "Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichmüller Map", "doi": null, "abstractUrl": "/proceedings-article/iccv/2017/1032f400/12OmNyv7mb8", "parentPublication": { "id": "proceedings/iccv/2017/1032/0", "title": "2017 IEEE International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-vis/2002/7498/0/7498sorkine", "title": "Bounded-distortion Piecewise Mesh Parameterization", "doi": null, "abstractUrl": "/proceedings-article/ieee-vis/2002/7498sorkine/12OmNzwHvcJ", "parentPublication": { "id": "proceedings/ieee-vis/2002/7498/0", "title": "Visualization Conference, IEEE", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/04/ttg2010040621", "title": "Almost Isometric Mesh Parameterization through Abstract Domains", "doi": null, "abstractUrl": "/journal/tg/2010/04/ttg2010040621/13rRUwkxc5k", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07434077", "title": "Spherical Parameterization Balancing Angle and Area Distortions", "doi": null, "abstractUrl": "/journal/tg/2017/06/07434077/13rRUxAASTf", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2015/06/mcg2015060051", "title": "Angle-Preserving Quadrilateral Mesh Parameterization", "doi": null, "abstractUrl": "/magazine/cg/2015/06/mcg2015060051/13rRUxBa5pf", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icvrv/2017/2636/0/263600a055", "title": "Conformal Parameterization by Minimizing Distortion Energy", "doi": null, "abstractUrl": "/proceedings-article/icvrv/2017/263600a055/1ap5wSJcZVe", "parentPublication": { "id": "proceedings/icvrv/2017/2636/0", "title": "2017 International Conference on Virtual Reality and Visualization (ICVRV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "v0073", "articleId": "13rRUygT7f0", "__typename": "AdjacentArticleType" }, "next": { "fno": "v0093", "articleId": "13rRUILtJqK", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNySXEWS", "title": "July/August", "year": "2007", "issueNum": "04", "idPrefix": "tg", "pubType": "journal", "volume": "13", "label": "July/August", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwI5U2x", "doi": "10.1109/TVCG.2007.1026", "abstract": "This paper describes the first use of a Network Processing Unit (NPU) to perform hardware-based image composition in a distributed rendering system. The image composition step is a notorious bottleneck in a clustered rendering system. Furthermore, image compositing algorithms do not necessarily scale as data size and number of nodes increase. Previous researchers have addressed the composition problem via software and/or custom-built hardware. We used the heterogeneous multicore computation architecture of the Intel IXP28XX NPU, a fully programmable commercial off-the-shelf (COTS) technology, to perform the image composition step. With this design, we have attained a nearly four-times performance increase over traditional software-based compositing methods, achieving sustained compositing rates of 22-28 fps on a 1,024 \\times 1,024 image. This system is fully scalable with a negligible penalty in frame rate, is entirely COTS, and is flexible with regard to operating system, rendering software, graphics cards, and node architecture. The NPU-based compositor has the additional advantage of being a modular compositing component that is eminently suitable for integration into existing distributed software visualization packages.", "abstracts": [ { "abstractType": "Regular", "content": "This paper describes the first use of a Network Processing Unit (NPU) to perform hardware-based image composition in a distributed rendering system. The image composition step is a notorious bottleneck in a clustered rendering system. Furthermore, image compositing algorithms do not necessarily scale as data size and number of nodes increase. Previous researchers have addressed the composition problem via software and/or custom-built hardware. We used the heterogeneous multicore computation architecture of the Intel IXP28XX NPU, a fully programmable commercial off-the-shelf (COTS) technology, to perform the image composition step. With this design, we have attained a nearly four-times performance increase over traditional software-based compositing methods, achieving sustained compositing rates of 22-28 fps on a 1,024 \\times 1,024 image. This system is fully scalable with a negligible penalty in frame rate, is entirely COTS, and is flexible with regard to operating system, rendering software, graphics cards, and node architecture. The NPU-based compositor has the additional advantage of being a modular compositing component that is eminently suitable for integration into existing distributed software visualization packages.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "This paper describes the first use of a Network Processing Unit (NPU) to perform hardware-based image composition in a distributed rendering system. The image composition step is a notorious bottleneck in a clustered rendering system. Furthermore, image compositing algorithms do not necessarily scale as data size and number of nodes increase. Previous researchers have addressed the composition problem via software and/or custom-built hardware. We used the heterogeneous multicore computation architecture of the Intel IXP28XX NPU, a fully programmable commercial off-the-shelf (COTS) technology, to perform the image composition step. With this design, we have attained a nearly four-times performance increase over traditional software-based compositing methods, achieving sustained compositing rates of 22-28 fps on a 1,024 \\times 1,024 image. This system is fully scalable with a negligible penalty in frame rate, is entirely COTS, and is flexible with regard to operating system, rendering software, graphics cards, and node architecture. The NPU-based compositor has the additional advantage of being a modular compositing component that is eminently suitable for integration into existing distributed software visualization packages.", "title": "NPU-Based Image Compositing in a Distributed Visualization System", "normalizedTitle": "NPU-Based Image Compositing in a Distributed Visualization System", "fno": "v0798", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Computer Graphic Equipment", "Data Visualisation", "Distributed Processing", "Image Processing", "Rendering Computer Graphics", "Software Packages", "Distributed Visualization System", "Network Processing Unit", "Hardware Based Image Composition", "Distributed Rendering System", "Clustered Rendering System", "Intel IXP 28 XX NPU", "Commercial Off The Shelf Technology", "Operating System", "Rendering Software", "Graphics Cards", "Node Architecture", "Distributed Software Visualization Packages", "Rendering Computer Graphics", "Computer Architecture", "Data Visualization", "Clustering Algorithms", "Hardware", "Multicore Processing", "Operating Systems", "Software Systems", "Graphics", "Software Packages", "Hardware Assisted Image Compositing", "High Performance Computing", "Image Compositing", "Network Processing Unit", "Parallel Rendering", "PC Clusters", "Visualization", "Volume Rendering" ], "authors": [ { "givenName": "David", "surname": "Pugmire", "fullName": "David Pugmire", "affiliation": "Los Alamos National Laboratory, MS T080, Los Alamos, NM 87545", "__typename": "ArticleAuthorType" }, { "givenName": "Laura", "surname": "Monroe", "fullName": "Laura Monroe", "affiliation": "Los Alamos National Laboratory, MS T080, Los Alamos, NM 87545", "__typename": "ArticleAuthorType" }, { "givenName": "Carolyn", "surname": "Connor Davenport", "fullName": "Carolyn Connor Davenport", "affiliation": "Los Alamos National Laboratory, MS B255, Los Alamos, NM 87545", "__typename": "ArticleAuthorType" }, { "givenName": "Andrew", "surname": "DuBois", "fullName": "Andrew DuBois", "affiliation": "Los Alamos National Laboratory, MS B255, Los Alamos, NM 87545", "__typename": "ArticleAuthorType" }, { "givenName": "David", "surname": "DuBois", "fullName": "David DuBois", "affiliation": "Los Alamos National Laboratory, MS B255, Los Alamos, NM 87545", "__typename": "ArticleAuthorType" }, { "givenName": "Stephen", "surname": "Poole", "fullName": "Stephen Poole", "affiliation": "Oak Ridge National Laboratory, PO Box 2008 MS6164, Oak Ridge, TN 37831", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "04", "pubDate": "2007-07-01 00:00:00", "pubType": "trans", "pages": "798-809", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icvrv/2014/6854/0/6854a030", "title": "Distributed Multi-GPU Accelerated Hybrid Parallel Rendering for Massively Parallel Environment", "doi": null, "abstractUrl": "/proceedings-article/icvrv/2014/6854a030/12OmNAndimD", "parentPublication": { "id": "proceedings/icvrv/2014/6854/0", "title": "2014 International Conference on Virtual Reality and Visualization (ICVRV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pvg/2003/2091/0/20910006", "title": "SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering", "doi": null, "abstractUrl": "/proceedings-article/pvg/2003/20910006/12OmNCdBDUq", "parentPublication": { "id": "proceedings/pvg/2003/2091/0", "title": "Parallel and Large-Data Visualization and Graphics, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pvgs/2003/8122/0/01249040", "title": "SLIC: scheduled linear image compositing for parallel volume rendering", "doi": null, "abstractUrl": "/proceedings-article/pvgs/2003/01249040/12OmNrIrPk2", "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/sc/2011/0771/0/06114465", "title": "An image compositing solution at scale", "doi": null, "abstractUrl": "/proceedings-article/sc/2011/06114465/12OmNvlxJpn", "parentPublication": { "id": "proceedings/sc/2011/0771/0", "title": "2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/prs/1993/4920/0/00586080", "title": "A data distributed, parallel algorithm for ray-traced volume rendering", "doi": null, "abstractUrl": "/proceedings-article/prs/1993/00586080/12OmNwl8GIq", "parentPublication": { "id": "proceedings/prs/1993/4920/0", "title": "Proceedings of 1993 IEEE Parallel Rendering Symposium", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/sc/2008/2835/0/05219060", "title": "Massively parallel volume rendering using 2–3 swap image compositing", "doi": null, "abstractUrl": "/proceedings-article/sc/2008/05219060/12OmNzn38PY", "parentPublication": { "id": "proceedings/sc/2008/2835/0", "title": "SC Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07433468", "title": "TOD-Tree: Task-Overlapped Direct Send Tree Image Compositing for Hybrid MPI Parallelism and GPUs", "doi": null, "abstractUrl": "/journal/tg/2017/06/07433468/13rRUwghd54", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/2006/05/i0673", "title": "Morphological Image Compositing", "doi": null, "abstractUrl": "/journal/tp/2006/05/i0673/13rRUy0qnHs", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/07/09253688", "title": "Exploratory Volumetric Deep Earth Visualization by 2.5D Interactive Compositing", "doi": null, "abstractUrl": "/journal/tg/2022/07/09253688/1oDXGKprxPG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ldav/2021/3283/0/328300a043", "title": "GPU-based Image Compression for Efficient Compositing in Distributed Rendering Applications", "doi": null, "abstractUrl": "/proceedings-article/ldav/2021/328300a043/1zdPDTXc4hy", "parentPublication": { "id": "proceedings/ldav/2021/3283/0", "title": "2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "v0786", "articleId": "13rRUIJuxvd", "__typename": "AdjacentArticleType" }, "next": { "fno": "v0810", "articleId": "13rRUxjyX3N", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "1C6XrLWSBcQ", "title": "March-April", "year": "2022", "issueNum": "02", "idPrefix": "mi", "pubType": "magazine", "volume": "42", "label": "March-April", "downloadables": { "hasCover": true, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1AO2s5byqiY", "doi": "10.1109/MM.2022.3148670", "abstract": "Deep learning workloads on modern multi-graphics processing unit (GPU) nodes are highly dependent on intranode interconnects, such as NVLink and PCIe, for high-performance communication. In this article, we take on the challenge to design an interconnect-aware multipath GPU-to-GPU communication using unified communication X (UCX) to utilize all available bandwidth for both NVLink-based systems and those that use a mixture of NVLink and PCIe. Our proposed multipath data transfer mechanism pipelines and stripes the message across multiple intrasocket communication channels and memory regions to achieve 1.84× higher bandwidth for Open message passing interface (MPI) on NVLink-based systems and 1.23× on NVLink and PCIe systems. We then utilize this mechanism to propose a three-stage hierarchical, pipelined MPI_Allreduce design as well as a flat pipelined two-stage algorithm for two different node topologies. For large messages, our proposed algorithms achieve a high speedup when compared to other MPI implementations. We also observe significant speedup for the proposed MPI_Allreduce with Horovod + TensorFlow with a variety of deep learning models.", "abstracts": [ { "abstractType": "Regular", "content": "Deep learning workloads on modern multi-graphics processing unit (GPU) nodes are highly dependent on intranode interconnects, such as NVLink and PCIe, for high-performance communication. In this article, we take on the challenge to design an interconnect-aware multipath GPU-to-GPU communication using unified communication X (UCX) to utilize all available bandwidth for both NVLink-based systems and those that use a mixture of NVLink and PCIe. Our proposed multipath data transfer mechanism pipelines and stripes the message across multiple intrasocket communication channels and memory regions to achieve 1.84× higher bandwidth for Open message passing interface (MPI) on NVLink-based systems and 1.23× on NVLink and PCIe systems. We then utilize this mechanism to propose a three-stage hierarchical, pipelined MPI_Allreduce design as well as a flat pipelined two-stage algorithm for two different node topologies. For large messages, our proposed algorithms achieve a high speedup when compared to other MPI implementations. We also observe significant speedup for the proposed MPI_Allreduce with Horovod + TensorFlow with a variety of deep learning models.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Deep learning workloads on modern multi-graphics processing unit (GPU) nodes are highly dependent on intranode interconnects, such as NVLink and PCIe, for high-performance communication. In this article, we take on the challenge to design an interconnect-aware multipath GPU-to-GPU communication using unified communication X (UCX) to utilize all available bandwidth for both NVLink-based systems and those that use a mixture of NVLink and PCIe. Our proposed multipath data transfer mechanism pipelines and stripes the message across multiple intrasocket communication channels and memory regions to achieve 1.84× higher bandwidth for Open message passing interface (MPI) on NVLink-based systems and 1.23× on NVLink and PCIe systems. We then utilize this mechanism to propose a three-stage hierarchical, pipelined MPI_Allreduce design as well as a flat pipelined two-stage algorithm for two different node topologies. For large messages, our proposed algorithms achieve a high speedup when compared to other MPI implementations. We also observe significant speedup for the proposed MPI_Allreduce with Horovod + TensorFlow with a variety of deep learning models.", "title": "Accelerating Deep Learning Using Interconnect-Aware UCX Communication for MPI Collectives", "normalizedTitle": "Accelerating Deep Learning Using Interconnect-Aware UCX Communication for MPI Collectives", "fno": "09705571", "hasPdf": true, "idPrefix": "mi", "keywords": [ "Application Program Interfaces", "Deep Learning Artificial Intelligence", "Graphics Processing Units", "Message Passing", "Parallel Architectures", "Multiple Intrasocket Communication Channels", "Open Message Passing Interface", "NV Link Based Systems", "Pipelined MPI Allreduce Design", "Deep Learning Models", "Interconnect Aware UCX Communication", "Multigraphics Processing Unit Nodes", "Intranode Interconnects", "High Performance Communication", "Multipath GPU To GPU Communication", "Unified Communication X", "Multipath Data Transfer Mechanism Pipelines", "Graphics Processing Units", "Bandwidth", "Deep Learning", "Data Transfer", "Message Passing", "Graphics Processing Units", "Runtime", "Communication Channels" ], "authors": [ { "givenName": "Yiltan Hassan", "surname": "Temuçin", "fullName": "Yiltan Hassan Temuçin", "affiliation": "Queen’s University, Kingston, ON, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Amir Hossein", "surname": "Sojoodi", "fullName": "Amir Hossein Sojoodi", "affiliation": "Queen’s University, Kingston, ON, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Pedram", "surname": "Alizadeh", "fullName": "Pedram Alizadeh", "affiliation": "Queen’s University, Kingston, ON, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Benjamin", "surname": "Kitor", "fullName": "Benjamin Kitor", "affiliation": "Queen’s University, Kingston, ON, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Ahmad", "surname": "Afsahi", "fullName": "Ahmad Afsahi", "affiliation": "Queen’s University, Kingston, ON, Canada", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2022-03-01 00:00:00", "pubType": "mags", "pages": "68-76", "year": "2022", "issn": "0272-1732", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/hipc/2017/2293/0/229301a253", "title": "GPU-Centric Communication on NVIDIA GPU Clusters with InfiniBand: A Case Study with OpenSHMEM", "doi": null, "abstractUrl": "/proceedings-article/hipc/2017/229301a253/12OmNqG0SZ4", "parentPublication": { "id": "proceedings/hipc/2017/2293/0", "title": "2017 IEEE 24th International Conference on High Performance Computing (HiPC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icpp/2013/5117/0/5117a080", "title": "Efficient Inter-node MPI Communication Using GPUDirect RDMA for InfiniBand Clusters with NVIDIA GPUs", "doi": null, "abstractUrl": "/proceedings-article/icpp/2013/5117a080/12OmNx9WSX9", "parentPublication": { "id": "proceedings/icpp/2013/5117/0", "title": "2013 42nd International Conference on Parallel Processing (ICPP)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/mi/2017/02/mmi2017020007", "title": "Ultra-Performance Pascal GPU and NVLink Interconnect", "doi": null, "abstractUrl": "/magazine/mi/2017/02/mmi2017020007/13rRUy3xYco", "parentPublication": { "id": "mags/mi", "title": "IEEE Micro", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/td/2020/01/08763922", "title": "Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect", "doi": null, "abstractUrl": "/journal/td/2020/01/08763922/1fPUlpxTYHK", "parentPublication": { "id": "trans/td", "title": "IEEE Transactions on Parallel & Distributed Systems", "__typename": "ParentPublication" }, 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{ "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": "13rRUxjQyv7", "doi": "10.1109/TVCG.2006.72", "abstract": "Abstract—In this paper, we present an interactive high dynamic range volume visualization framework (HDR VolVis) for visualizing volumetric data with both high spatial and intensity resolutions. Volumes with high dynamic range values require high precision computing during the rendering process to preserve data precision. Furthermore, it is desirable to render high resolution volumes with low opacity values to reveal detailed internal structures, which also requires high precision compositing. High precision rendering will result in a high precision intermediate image (also known as high dynamic range image). Simply rounding up pixel values to regular display scales will result in loss of computed details. Our method performs high precision compositing followed by dynamic tone mapping to preserve details on regular display devices. Rendering high precision volume data requires corresponding resolution in the transfer function. To assist the users in designing a high resolution transfer function on a limited resolution display device, we propose a novel transfer function specification interface with nonlinear magnification of the density range and logarithmic scaling of the color/opacity range. By leveraging modern commodity graphics hardware, multiresolution rendering techniques and out-of-core acceleration, our system can effectively produce an interactive visualization of large volume data, such as 2,048^3.", "abstracts": [ { "abstractType": "Regular", "content": "Abstract—In this paper, we present an interactive high dynamic range volume visualization framework (HDR VolVis) for visualizing volumetric data with both high spatial and intensity resolutions. Volumes with high dynamic range values require high precision computing during the rendering process to preserve data precision. Furthermore, it is desirable to render high resolution volumes with low opacity values to reveal detailed internal structures, which also requires high precision compositing. High precision rendering will result in a high precision intermediate image (also known as high dynamic range image). Simply rounding up pixel values to regular display scales will result in loss of computed details. Our method performs high precision compositing followed by dynamic tone mapping to preserve details on regular display devices. Rendering high precision volume data requires corresponding resolution in the transfer function. To assist the users in designing a high resolution transfer function on a limited resolution display device, we propose a novel transfer function specification interface with nonlinear magnification of the density range and logarithmic scaling of the color/opacity range. By leveraging modern commodity graphics hardware, multiresolution rendering techniques and out-of-core acceleration, our system can effectively produce an interactive visualization of large volume data, such as 2,048^3.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Abstract—In this paper, we present an interactive high dynamic range volume visualization framework (HDR VolVis) for visualizing volumetric data with both high spatial and intensity resolutions. Volumes with high dynamic range values require high precision computing during the rendering process to preserve data precision. Furthermore, it is desirable to render high resolution volumes with low opacity values to reveal detailed internal structures, which also requires high precision compositing. High precision rendering will result in a high precision intermediate image (also known as high dynamic range image). Simply rounding up pixel values to regular display scales will result in loss of computed details. Our method performs high precision compositing followed by dynamic tone mapping to preserve details on regular display devices. Rendering high precision volume data requires corresponding resolution in the transfer function. To assist the users in designing a high resolution transfer function on a limited resolution display device, we propose a novel transfer function specification interface with nonlinear magnification of the density range and logarithmic scaling of the color/opacity range. By leveraging modern commodity graphics hardware, multiresolution rendering techniques and out-of-core acceleration, our system can effectively produce an interactive visualization of large volume data, such as 2,048^3.", "title": "HDR VolVis: High Dynamic Range Volume Visualization", "normalizedTitle": "HDR VolVis: High Dynamic Range Volume Visualization", "fno": "v0433", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Volume Visualization", "High Dynamic Range", "User Interfaces", "Transfer Function Design", "Nonlinear Magnification" ], "authors": [ { "givenName": "Xiaoru", "surname": "Yuan", "fullName": "Xiaoru Yuan", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Minh X.", "surname": "Nguyen", "fullName": "Minh X. 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Porter", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "04", "pubDate": "2006-07-01 00:00:00", "pubType": "trans", "pages": "433-445", "year": "2006", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/vg/2005/26/0/01500529", "title": "Volume rendering for high dynamic range displays", "doi": null, "abstractUrl": "/proceedings-article/vg/2005/01500529/12OmNAkEU5K", "parentPublication": { "id": "proceedings/vg/2005/26/0", "title": "Volume Graphics 2005", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cw/2008/3381/0/3381a256", "title": "Real-Time Tone Mapping for High-Resolution HDR Images", "doi": null, "abstractUrl": "/proceedings-article/cw/2008/3381a256/12OmNAlNiC2", "parentPublication": { "id": "proceedings/cw/2008/3381/0", "title": "2008 International Conference on Cyberworlds", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-vis/2005/2766/0/01532812", "title": "High dynamic range volume visualization", "doi": null, "abstractUrl": "/proceedings-article/ieee-vis/2005/01532812/12OmNBO3Kih", "parentPublication": { "id": "proceedings/ieee-vis/2005/2766/0", "title": "Visualization Conference, IEEE", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ldav/2011/0155/0/06092330", "title": "CERA-TVR: A framework for interactive high-quality teravoxel volume visualization on standard PCs", "doi": null, "abstractUrl": "/proceedings-article/ldav/2011/06092330/12OmNxFsmwU", "parentPublication": { "id": "proceedings/ldav/2011/0155/0", "title": "IEEE Symposium on Large Data Analysis and Visualization (LDAV 2011)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2004/2177/0/21770269", "title": "Two-Channel Technique for High Dynamic Range Image Visualization", "doi": null, "abstractUrl": "/proceedings-article/iv/2004/21770269/12OmNyo1nMX", "parentPublication": { "id": "proceedings/iv/2004/2177/0", "title": "Proceedings. 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IV 2004.", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-vis/2005/2766/0/27660042", "title": "High Dynamic Range Volume Visualization", "doi": null, "abstractUrl": "/proceedings-article/ieee-vis/2005/27660042/12OmNzUxO6V", "parentPublication": { "id": "proceedings/ieee-vis/2005/2766/0", "title": "Visualization Conference, IEEE", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icm/2011/4522/3/4522c011", "title": "Application of the MITK Based Intelligent Volume Rendering by Ray-Leaping Method in Medical Image Visualization", "doi": null, "abstractUrl": "/proceedings-article/icm/2011/4522c011/12OmNzmLxPG", "parentPublication": { "id": "proceedings/icm/2011/4522/3", "title": "Information Technology, Computer Engineering and Management Sciences, International Conference of", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-vis/1999/5897/0/58970060", "title": "Multiresolution Techniques for Interactive Texture-based Volume Visualization", "doi": null, "abstractUrl": "/proceedings-article/ieee-vis/1999/58970060/12OmNzw8j09", "parentPublication": { "id": "proceedings/ieee-vis/1999/5897/0", "title": "Visualization Conference, IEEE", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/01/ttg2014010070", "title": "GPU-Based Volume Visualization from High-Order Finite Element Fields", "doi": null, "abstractUrl": "/journal/tg/2014/01/ttg2014010070/13rRUEgs2M1", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2011/02/ttg2011020171", "title": "Feature-Preserving Volume Data Reduction and Focus+Context Visualization", "doi": null, "abstractUrl": "/journal/tg/2011/02/ttg2011020171/13rRUx0xPTN", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "v0421", "articleId": "13rRUNvgziv", "__typename": "AdjacentArticleType" }, "next": { "fno": "v0446", "articleId": "13rRUEgs2LU", "__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": "1JtvHc3BND2", "doi": "10.1109/TVCG.2022.3232591", "abstract": "We present experimental results to explore a form of bivariate glyphs for representing large-magnitude-range vectors. The glyphs meet two conditions: (1) two visual dimensions are separable; and (2) one of the two visual dimensions uses a categorical representation (e.g., a categorical colormap). We evaluate how much these two conditions determine the bivariate glyphs&#x0027; effectiveness. The first experiment asks participants to perform three local tasks requiring reading no more than two glyphs. The second experiment scales up the search space in global tasks when participants must look at the entire scene of hundreds of vector glyphs to get an answer. Our results support that the first condition is necessary for local tasks when a few items are compared. But it is not enough for understanding a large amount of data. The second condition is necessary for perceiving global structures of examining very complex datasets. Participants&#x0027; comments reveal that the categorical features in the bivariate glyphs trigger emergent optimal viewers&#x0027; behaviors. This work contributes to perceptually accurate glyph representations for revealing patterns from large scientific results. We release source code, quantum physics data, training documents, participants&#x0027; answers, and statistical analyses for reproducible science at <uri>https : //osf:io/4xcf5/&#x003F;viewonly &#x003D; 94123139df9c4ac984a1e0df811cd580</uri>.", "abstracts": [ { "abstractType": "Regular", "content": "We present experimental results to explore a form of bivariate glyphs for representing large-magnitude-range vectors. The glyphs meet two conditions: (1) two visual dimensions are separable; and (2) one of the two visual dimensions uses a categorical representation (e.g., a categorical colormap). We evaluate how much these two conditions determine the bivariate glyphs&#x0027; effectiveness. The first experiment asks participants to perform three local tasks requiring reading no more than two glyphs. The second experiment scales up the search space in global tasks when participants must look at the entire scene of hundreds of vector glyphs to get an answer. Our results support that the first condition is necessary for local tasks when a few items are compared. But it is not enough for understanding a large amount of data. The second condition is necessary for perceiving global structures of examining very complex datasets. Participants&#x0027; comments reveal that the categorical features in the bivariate glyphs trigger emergent optimal viewers&#x0027; behaviors. This work contributes to perceptually accurate glyph representations for revealing patterns from large scientific results. We release source code, quantum physics data, training documents, participants&#x0027; answers, and statistical analyses for reproducible science at <uri>https : //osf:io/4xcf5/&#x003F;viewonly &#x003D; 94123139df9c4ac984a1e0df811cd580</uri>.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We present experimental results to explore a form of bivariate glyphs for representing large-magnitude-range vectors. The glyphs meet two conditions: (1) two visual dimensions are separable; and (2) one of the two visual dimensions uses a categorical representation (e.g., a categorical colormap). We evaluate how much these two conditions determine the bivariate glyphs' effectiveness. The first experiment asks participants to perform three local tasks requiring reading no more than two glyphs. The second experiment scales up the search space in global tasks when participants must look at the entire scene of hundreds of vector glyphs to get an answer. Our results support that the first condition is necessary for local tasks when a few items are compared. But it is not enough for understanding a large amount of data. The second condition is necessary for perceiving global structures of examining very complex datasets. Participants' comments reveal that the categorical features in the bivariate glyphs trigger emergent optimal viewers' behaviors. This work contributes to perceptually accurate glyph representations for revealing patterns from large scientific results. We release source code, quantum physics data, training documents, participants' answers, and statistical analyses for reproducible science at https : //osf:io/4xcf5/?viewonly = 94123139df9c4ac984a1e0df811cd580.", "title": "Evaluating Glyph Design for Showing Large-Magnitude-Range Quantum Spins", "normalizedTitle": "Evaluating Glyph Design for Showing Large-Magnitude-Range Quantum Spins", "fno": "10002316", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Task Analysis", "Image Color Analysis", "Visualization", "Three Dimensional Displays", "Data Visualization", "Behavioral Sciences", "Shape", "Separable And Integral Dimension Pairs", "Bivariate Glyph", "3 D Glyph", "Quantitative Visualization", "Large Magnitude Range" ], "authors": [ { "givenName": "Henan", "surname": "Zhao", "fullName": "Henan Zhao", "affiliation": "University of Maryland, Baltimore, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Garnett W.", "surname": "Bryant", "fullName": "Garnett W. Bryant", "affiliation": "National Institute of Standards and Technology, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Wesley", "surname": "Griffin", "fullName": "Wesley Griffin", "affiliation": "Stellar Science, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Judith E.", "surname": "Terrill", "fullName": "Judith E. 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IV 2004.", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icalt/2016/9041/0/9041a431", "title": "Augmented Reality Experiences in Therapeutic Pedagogy: A Study with Special Needs Students", "doi": null, "abstractUrl": "/proceedings-article/icalt/2016/9041a431/12OmNynJMFL", "parentPublication": { "id": "proceedings/icalt/2016/9041/0", "title": "2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07435333", "title": "Towards Pervasive Augmented Reality: Context-Awareness in Augmented Reality", "doi": null, "abstractUrl": "/journal/tg/2017/06/07435333/13rRUwfZBVq", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/svr/2019/5434/0/543400a047", "title": "Eva: A Virtual pet in Augmented Reality", "doi": null, "abstractUrl": "/proceedings-article/svr/2019/543400a047/1fHjyCQrPLG", "parentPublication": { "id": "proceedings/svr/2019/5434/0", "title": "2019 21st Symposium on Virtual and Augmented Reality (SVR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ismar-adjunct/2019/4765/0/476500a008", "title": "Augmented Reality-Based Peephole Interaction using Real Space Information", "doi": null, "abstractUrl": "/proceedings-article/ismar-adjunct/2019/476500a008/1gysiEAcM7K", "parentPublication": { "id": "proceedings/ismar-adjunct/2019/4765/0", "title": "2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2020/5608/0/09089476", "title": "Enlightening Patients with Augmented Reality", "doi": null, "abstractUrl": "/proceedings-article/vr/2020/09089476/1jIxaFnm0GQ", "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/iccst/2021/4254/0/425400a067", "title": "An Augmented Reality Design Method Based on ARKit for the Fusion of Hierarchical Traditional Media and Real Scenes", "doi": null, "abstractUrl": "/proceedings-article/iccst/2021/425400a067/1ziPoC8nJw4", "parentPublication": { "id": "proceedings/iccst/2021/4254/0", "title": "2021 International Conference on Culture-oriented Science & Technology (ICCST)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mco2012070021", "articleId": "13rRUxYIMQ6", "__typename": "AdjacentArticleType" }, "next": { "fno": "mco2012070026", "articleId": "13rRUxYrbPM", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "1GZo7cxWW6A", "title": "July-Sept.", "year": "2022", "issueNum": "03", "idPrefix": "pc", "pubType": "magazine", "volume": "21", "label": "July-Sept.", "downloadables": { "hasCover": true, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1BJHWqkU3rG", "doi": "10.1109/MPRV.2022.3152993", "abstract": "In the foreseeable future, mobile and wearable computing technology with an augmented reality (AR) interface can provide an omnipresent, environmentally adaptive, and everyday reality augmentation. This new pervasive AR technology will lead to a continuous moderation of experienced reality with the potential to support better and faster decision-making, the exploration of new information, and novel ways of communication, interaction, and collaboration. However, pervasive AR technology will also have undesired consequences, e.g., in the areas of privacy, commercial exploitation, distractions, digital inequality, and our perception of what is true and real. Little is known about how severe these effects will be when AR has become pervasive and how they can be prevented or mitigated. We draw on current developments in research and the market, sketch a near-time future of pervasive AR technology, identify ethical considerations, and discuss the development of pervasive AR systems.", "abstracts": [ { "abstractType": "Regular", "content": "In the foreseeable future, mobile and wearable computing technology with an augmented reality (AR) interface can provide an omnipresent, environmentally adaptive, and everyday reality augmentation. This new pervasive AR technology will lead to a continuous moderation of experienced reality with the potential to support better and faster decision-making, the exploration of new information, and novel ways of communication, interaction, and collaboration. However, pervasive AR technology will also have undesired consequences, e.g., in the areas of privacy, commercial exploitation, distractions, digital inequality, and our perception of what is true and real. Little is known about how severe these effects will be when AR has become pervasive and how they can be prevented or mitigated. We draw on current developments in research and the market, sketch a near-time future of pervasive AR technology, identify ethical considerations, and discuss the development of pervasive AR systems.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "In the foreseeable future, mobile and wearable computing technology with an augmented reality (AR) interface can provide an omnipresent, environmentally adaptive, and everyday reality augmentation. This new pervasive AR technology will lead to a continuous moderation of experienced reality with the potential to support better and faster decision-making, the exploration of new information, and novel ways of communication, interaction, and collaboration. However, pervasive AR technology will also have undesired consequences, e.g., in the areas of privacy, commercial exploitation, distractions, digital inequality, and our perception of what is true and real. Little is known about how severe these effects will be when AR has become pervasive and how they can be prevented or mitigated. We draw on current developments in research and the market, sketch a near-time future of pervasive AR technology, identify ethical considerations, and discuss the development of pervasive AR systems.", "title": "Pervasive Augmented Reality&#x2014;Technology and Ethics", "normalizedTitle": "Pervasive Augmented Reality—Technology and Ethics", "fno": "09733791", "hasPdf": true, "idPrefix": "pc", "keywords": [ "Augmented Reality", "Ethical Aspects", "Mobile Computing", "Wearable Computers", "Mobile Computing Technology", "Wearable Computing Technology", "Omnipresent Reality Augmentation", "Pervasive AR Technology", "Decision Making", "Pervasive Augmented Reality Interface", "Environmentally Adaptive Augmentation", "Ethics", "Sensors", "Privacy", "Physiology", "Augmented Reality", "Cameras", "Three Dimensional Displays", "Wearable Computers" ], "authors": [ { "givenName": "Holger", "surname": "Regenbrecht", "fullName": "Holger Regenbrecht", "affiliation": "University of Otago, Dunedin, New Zealand", "__typename": "ArticleAuthorType" }, { "givenName": "Sander", "surname": "Zwanenburg", "fullName": "Sander Zwanenburg", "affiliation": "University of Otago, Dunedin, New Zealand", "__typename": "ArticleAuthorType" }, { "givenName": "Tobias", "surname": "Langlotz", "fullName": "Tobias Langlotz", "affiliation": "University of Otago, Dunedin, New Zealand", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": false, "showRecommendedArticles": true, "isOpenAccess": true, "issueNum": "03", "pubDate": "2022-07-01 00:00:00", "pubType": "mags", "pages": "84-91", "year": "2022", "issn": "1536-1268", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/kam/2009/3888/3/3888c091", "title": "Ubiquitous Augmented Reality System", "doi": null, "abstractUrl": "/proceedings-article/kam/2009/3888c091/12OmNCcKQOw", "parentPublication": { "id": "proceedings/kam/2009/3888/1", "title": "Knowledge Acquisition and Modeling, International Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2002/1492/0/14920287", "title": "Tinmith-Hand: Unified User Interface Technology for Mobile Outdoor Augmented Reality and Indoor Virtual Reality", "doi": null, "abstractUrl": "/proceedings-article/vr/2002/14920287/12OmNqH9htu", "parentPublication": { "id": "proceedings/vr/2002/1492/0", "title": "Proceedings IEEE Virtual Reality 2002", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/digitel/2008/3409/0/3409a215", "title": "Pedagogy Play: Virtual Instructors for Wearable Augmented Reality during Hands-On Learning and Play", "doi": null, "abstractUrl": "/proceedings-article/digitel/2008/3409a215/12OmNxXCGKF", "parentPublication": { "id": "proceedings/digitel/2008/3409/0", "title": "Digital Game and Intelligent Toy Enhanced Learning, IEEE International Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ismar/2014/6184/0/06948517", "title": "Collaboration in mediated and augmented reality", "doi": null, "abstractUrl": "/proceedings-article/ismar/2014/06948517/12OmNy6HQPU", "parentPublication": { "id": "proceedings/ismar/2014/6184/0", "title": "2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iswc/2000/0795/0/07950189", "title": "Two Wearable Testbeds for Augmented Reality: itWARNS and WIMMIS", "doi": null, "abstractUrl": "/proceedings-article/iswc/2000/07950189/12OmNykCcbx", "parentPublication": { "id": "proceedings/iswc/2000/0795/0", "title": "Digest of Papers. Fourth International Symposium on Wearable Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/06/07435333", "title": "Towards Pervasive Augmented Reality: Context-Awareness in Augmented Reality", "doi": null, "abstractUrl": "/journal/tg/2017/06/07435333/13rRUwfZBVq", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2011/10/ttg2011101380", "title": "Cross-Organizational Collaboration Supported by Augmented Reality", "doi": null, "abstractUrl": "/journal/tg/2011/10/ttg2011101380/13rRUxASuMz", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/pc/2011/03/mpc2011030068", "title": "Automatic Configuration of Pervasive Sensor Networks for Augmented Reality", "doi": null, "abstractUrl": "/magazine/pc/2011/03/mpc2011030068/13rRUxASuVd", "parentPublication": { "id": "mags/pc", "title": "IEEE Pervasive Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/co/2012/07/mco2012070026", "title": "Anywhere Interfaces Using Handheld Augmented Reality", "doi": null, "abstractUrl": "/magazine/co/2012/07/mco2012070026/13rRUxYrbPM", "parentPublication": { "id": "mags/co", "title": "Computer", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/co/2020/01/08960917", "title": "The Promise of Interactive Shared Augmented Reality", "doi": null, "abstractUrl": "/magazine/co/2020/01/08960917/1gC2nP2wWn6", "parentPublication": { "id": "mags/co", "title": "Computer", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09737305", "articleId": "1BQi8zb4Vkk", "__typename": "AdjacentArticleType" }, "next": { "fno": "09747936", "articleId": "1CdAgPYNQ5y", "__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": "13rRUy0qnLz", "doi": "10.1109/TVCG.2007.70612", "abstract": "The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network infrastructure. The vast number of security incidents and other anomalies overwhelms attempts at manual analysis, especially when monitoring service provider backbone links. We present an approach to interactive visualization with a case study indicating that interactive visualization can be applied to gain more insight into these large data sets. We superimpose a hierarchy on IP address space, and study the suitability of Treemap variants for each hierarchy level. Because viewing the whole IP hierarchy at once is not practical for most tasks, we evaluate layout stability when eliding large parts of the hierarchy, while maintaining the visibility and ordering of the data of interest.", "abstracts": [ { "abstractType": "Regular", "content": "The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network infrastructure. The vast number of security incidents and other anomalies overwhelms attempts at manual analysis, especially when monitoring service provider backbone links. We present an approach to interactive visualization with a case study indicating that interactive visualization can be applied to gain more insight into these large data sets. We superimpose a hierarchy on IP address space, and study the suitability of Treemap variants for each hierarchy level. Because viewing the whole IP hierarchy at once is not practical for most tasks, we evaluate layout stability when eliding large parts of the hierarchy, while maintaining the visibility and ordering of the data of interest.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network infrastructure. The vast number of security incidents and other anomalies overwhelms attempts at manual analysis, especially when monitoring service provider backbone links. We present an approach to interactive visualization with a case study indicating that interactive visualization can be applied to gain more insight into these large data sets. We superimpose a hierarchy on IP address space, and study the suitability of Treemap variants for each hierarchy level. Because viewing the whole IP hierarchy at once is not practical for most tasks, we evaluate layout stability when eliding large parts of the hierarchy, while maintaining the visibility and ordering of the data of interest.", "title": "Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats", "normalizedTitle": "Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats", "fno": "v1105", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Information Visualization", "Network Security", "Network Monitoring", "Treemap" ], "authors": [ { "givenName": "Florian", "surname": "Mansmann", "fullName": "Florian Mansmann", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Daniel A.", "surname": "Keim", "fullName": "Daniel A. Keim", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Stephen C.", "surname": "North", "fullName": "Stephen C. North", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Brian", "surname": "Rexroad", "fullName": "Brian Rexroad", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Daniel", "surname": "Sheleheda", "fullName": "Daniel Sheleheda", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1105-1112", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/cgiv/2009/3789/0/3789a419", "title": "Visualizing Air Traffic Flow Management Alert Information Using Squarified Treemaps", "doi": null, "abstractUrl": "/proceedings-article/cgiv/2009/3789a419/12OmNBQ2VQS", "parentPublication": { "id": "proceedings/cgiv/2009/3789/0", "title": "2009 Sixth International Conference on Computer Graphics, Imaging and Visualization", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/spw/2013/0458/0/06565231", "title": "Reporting Insider Threats via Covert Channels", "doi": null, "abstractUrl": "/proceedings-article/spw/2013/06565231/12OmNC3Xhkb", "parentPublication": { "id": "proceedings/spw/2013/0458/0", "title": "2013 IEEE Security and Privacy Workshops", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2012/4771/0/4771a018", "title": "Fast Layout Computation of Hierarchically Clustered Networks: Algorithmic Advances and Experimental Analysis", "doi": null, "abstractUrl": "/proceedings-article/iv/2012/4771a018/12OmNrEL2zK", "parentPublication": { "id": "proceedings/iv/2012/4771/0", "title": "2012 16th International Conference on Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icn/2007/2805/0/28050098", "title": "Automated Detection of Emerging Network Security Threats", "doi": null, "abstractUrl": "/proceedings-article/icn/2007/28050098/12OmNwIYZAw", "parentPublication": { "id": "proceedings/icn/2007/2805/0", "title": "International Conference on Networking", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2004/2177/0/21770335", "title": "Extending the Utility of Treemaps with Flexible Hierarchy", "doi": null, "abstractUrl": "/proceedings-article/iv/2004/21770335/12OmNwIYZE3", "parentPublication": { "id": "proceedings/iv/2004/2177/0", "title": "Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vast/2006/0591/0/04035753", "title": "Interactive Wormhole Detection in Large Scale Wireless Networks", "doi": null, "abstractUrl": "/proceedings-article/vast/2006/04035753/12OmNwKoZdn", "parentPublication": { "id": "proceedings/vast/2006/0591/0", "title": "2006 IEEE Symposium On Visual Analytics Science And Technology", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vizsec/2016/1605/0/07739583", "title": "Bigfoot: A geo-based visualization methodology for detecting BGP threats", "doi": null, "abstractUrl": "/proceedings-article/vizsec/2016/07739583/12OmNwbukiX", "parentPublication": { "id": "proceedings/vizsec/2016/1605/0", "title": "2016 IEEE Symposium on Visualization for Cyber Security (VizSec)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/saint/2011/4423/0/4423a421", "title": "Acquisition and Visualization of Hosts Connected to the Network", "doi": null, "abstractUrl": "/proceedings-article/saint/2011/4423a421/12OmNzYwchz", "parentPublication": { "id": "proceedings/saint/2011/4423/0", "title": "2011 IEEE/IPSJ International Symposium on Applications and the Internet", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/04376129", "title": "Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats", "doi": null, "abstractUrl": "/journal/tg/2007/06/04376129/13rRUx0xPIu", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440860", "title": "Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440860/17D45Vw15v5", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "v0000", "articleId": "13rRUwgQpDn", "__typename": "AdjacentArticleType" }, "next": { "fno": "v1113", "articleId": "13rRUwInuWr", "__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": "13rRUyogGA6", "doi": "10.1109/TVCG.2007.70611", "abstract": "We present VisLink, a method by which visualizations and the relationships between them can be interactively explored. VisLink readily generalizes to support multiple visualizations, empowers inter-representational queries, and enables the reuse of the spatial variables, thus supporting efficient information encoding and providing for powerful visualization bridging. Our approach uses multiple 2D layouts, drawing each one in its own plane. These planes can then be placed and re-positioned in 3D space: side by side, in parallel, or in chosen placements that provide favoured views. Relationships, connections, and patterns between visualizations can be revealed and explored using a variety of interaction techniques including spreading activation and search filters.", "abstracts": [ { "abstractType": "Regular", "content": "We present VisLink, a method by which visualizations and the relationships between them can be interactively explored. VisLink readily generalizes to support multiple visualizations, empowers inter-representational queries, and enables the reuse of the spatial variables, thus supporting efficient information encoding and providing for powerful visualization bridging. Our approach uses multiple 2D layouts, drawing each one in its own plane. These planes can then be placed and re-positioned in 3D space: side by side, in parallel, or in chosen placements that provide favoured views. Relationships, connections, and patterns between visualizations can be revealed and explored using a variety of interaction techniques including spreading activation and search filters.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We present VisLink, a method by which visualizations and the relationships between them can be interactively explored. VisLink readily generalizes to support multiple visualizations, empowers inter-representational queries, and enables the reuse of the spatial variables, thus supporting efficient information encoding and providing for powerful visualization bridging. Our approach uses multiple 2D layouts, drawing each one in its own plane. These planes can then be placed and re-positioned in 3D space: side by side, in parallel, or in chosen placements that provide favoured views. Relationships, connections, and patterns between visualizations can be revealed and explored using a variety of interaction techniques including spreading activation and search filters.", "title": "VisLink: Revealing Relationships Amongst Visualizations", "normalizedTitle": "VisLink: Revealing Relationships Amongst Visualizations", "fno": "v1192", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Graph Visualization", "Node Link Diagrams", "Structural Comparison", "Hierarchies", "3 D Visualization", "Edge Aggregation" ], "authors": [ { "givenName": "Christopher", "surname": "Collins", "fullName": "Christopher Collins", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Sheelagh", "surname": "Carpendale", "fullName": "Sheelagh Carpendale", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1192-1199", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "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": "trans/tg/2009/06/ttg2009061009", "title": "Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations", "doi": null, "abstractUrl": "/journal/tg/2009/06/ttg2009061009/13rRUwfZC0b", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/1998/04/mcg1998040040", "title": "Visualizing Rich, Structured Hypermedia", "doi": null, "abstractUrl": "/magazine/cg/1998/04/mcg1998040040/13rRUwwslws", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2011/12/ttg2011122508", "title": "Visual Thinking In Action: Visualizations As Used On Whiteboards", "doi": null, "abstractUrl": "/journal/tg/2011/12/ttg2011122508/13rRUxOve9E", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2018/02/08081825", "title": "Efficient Recommendation of Aggregate Data Visualizations", "doi": null, "abstractUrl": "/journal/tk/2018/02/08081825/13rRUxYrbV5", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/04376140", "title": "VisLink: Revealing Relationships Amongst Visualizations", "doi": null, "abstractUrl": "/journal/tg/2007/06/04376140/13rRUy0HYRh", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08017606", "title": "Active Reading of Visualizations", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017606/13rRUyYSWl5", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2018/7202/0/720200a085", "title": "Temporal Visualization of Sets and Their Relationships Using Time-Sets", "doi": null, "abstractUrl": "/proceedings-article/iv/2018/720200a085/17D45Vw15vR", "parentPublication": { "id": "proceedings/iv/2018/7202/0", "title": "2018 22nd International Conference Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09904476", "title": "How Do Viewers Synthesize Conflicting Information from Data Visualizations?", "doi": null, "abstractUrl": "/journal/tg/2023/01/09904476/1H1geNCdZIc", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2022/8812/0/881200a085", "title": "Let&#x0027;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" } ], 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{ "issue": { "id": "12OmNyPQ4uQ", "title": "Dec.", "year": "2018", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "24", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "14H4WLmgedy", "doi": "10.1109/TVCG.2017.2773071", "abstract": "Visual exploration of flow fields is important for studying dynamic systems. We introduce semantic flow graph (SFG), a novel graph representation and interaction framework that enables users to explore the relationships among key objects (i.e., field lines, features, and spatiotemporal regions) of both steady and unsteady flow fields. The objects and their relationships are organized as a heterogeneous graph. We assign each object a set of attributes, based on which a semantic abstraction of the heterogeneous graph is generated. This semantic abstraction is SFG. We design a suite of operations to explore the underlying flow fields based on this graph representation and abstraction mechanism. Users can flexibly reconfigure SFG to examine the relationships among groups of objects at different abstraction levels. Three linked views are developed to display SFG, its node split criteria and history, and the objects in the spatial volume. For simplicity, we introduce SFG construction and exploration for steady flow fields with critical points being the only features. Then we demonstrate that SFG can be naturally extended to deal with unsteady flow fields and multiple types of features. We experiment with multiple data sets and conduct an expert evaluation to demonstrate the effectiveness of our approach.", "abstracts": [ { "abstractType": "Regular", "content": "Visual exploration of flow fields is important for studying dynamic systems. We introduce semantic flow graph (SFG), a novel graph representation and interaction framework that enables users to explore the relationships among key objects (i.e., field lines, features, and spatiotemporal regions) of both steady and unsteady flow fields. The objects and their relationships are organized as a heterogeneous graph. We assign each object a set of attributes, based on which a semantic abstraction of the heterogeneous graph is generated. This semantic abstraction is SFG. We design a suite of operations to explore the underlying flow fields based on this graph representation and abstraction mechanism. Users can flexibly reconfigure SFG to examine the relationships among groups of objects at different abstraction levels. Three linked views are developed to display SFG, its node split criteria and history, and the objects in the spatial volume. For simplicity, we introduce SFG construction and exploration for steady flow fields with critical points being the only features. Then we demonstrate that SFG can be naturally extended to deal with unsteady flow fields and multiple types of features. We experiment with multiple data sets and conduct an expert evaluation to demonstrate the effectiveness of our approach.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Visual exploration of flow fields is important for studying dynamic systems. We introduce semantic flow graph (SFG), a novel graph representation and interaction framework that enables users to explore the relationships among key objects (i.e., field lines, features, and spatiotemporal regions) of both steady and unsteady flow fields. The objects and their relationships are organized as a heterogeneous graph. We assign each object a set of attributes, based on which a semantic abstraction of the heterogeneous graph is generated. This semantic abstraction is SFG. We design a suite of operations to explore the underlying flow fields based on this graph representation and abstraction mechanism. Users can flexibly reconfigure SFG to examine the relationships among groups of objects at different abstraction levels. Three linked views are developed to display SFG, its node split criteria and history, and the objects in the spatial volume. For simplicity, we introduce SFG construction and exploration for steady flow fields with critical points being the only features. Then we demonstrate that SFG can be naturally extended to deal with unsteady flow fields and multiple types of features. We experiment with multiple data sets and conduct an expert evaluation to demonstrate the effectiveness of our approach.", "title": "Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields", "normalizedTitle": "Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields", "fno": "08118164", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Semantics", "Visualization", "History", "Two Dimensional Displays", "Clutter", "Three Dimensional Displays", "Aerodynamics", "Flow Visualization", "Heterogeneous Graph", "Semantic Abstraction", "Critical Points", "Vortex Cores", "FTLE", "Field Lines" ], "authors": [ { "givenName": "Jun", "surname": "Tao", "fullName": "Jun Tao", "affiliation": "Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN", "__typename": "ArticleAuthorType" }, { "givenName": "Chaoli", "surname": "Wang", "fullName": "Chaoli Wang", "affiliation": "Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN", "__typename": "ArticleAuthorType" }, { "givenName": "Nitesh V.", "surname": "Chawla", "fullName": "Nitesh V. Chawla", "affiliation": "Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN", "__typename": "ArticleAuthorType" }, { "givenName": "Lei", "surname": "Shi", "fullName": "Lei Shi", "affiliation": "University of Chinese Academy of Sciences, Beijing, China", "__typename": "ArticleAuthorType" }, { "givenName": "Seung Hyun", "surname": "Kim", "fullName": "Seung Hyun Kim", "affiliation": "Department of Mechanical and Aerospace Engineering, Ohio State University, Columbus, OH", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2018-12-01 00:00:00", "pubType": "trans", "pages": "3200-3213", "year": "2018", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/pacificvis/2015/6879/0/07156350", "title": "Moment invariants for 3D flow fields via 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"proceedings/visual/1993/3940/0", "title": "Proceedings Visualization '93", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/01/07536103", "title": "Hairy Slices: Evaluating the Perceptual Effectiveness of Cutting Plane Glyphs for 3D Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2017/01/07536103/13rRUNvyakR", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/12/ttg2013122763", "title": "Visualization of Morse Connection Graphs for Topologically Rich 2D Vector Fields", "doi": null, "abstractUrl": "/journal/tg/2013/12/ttg2013122763/13rRUxNW1Zp", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440844", "title": "Origin-Destination Flow Maps in Immersive Environments", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440844/17D45Vw15vc", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440089", "title": "Recirculation Surfaces for Flow Visualization", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440089/17D45Vw15xs", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440037", "title": "Time-Dependent Flow seen through Approximate Observer Killing Fields", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440037/17D45X2fUEW", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdm/2021/2398/0/239800b246", "title": "PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields", "doi": null, "abstractUrl": "/proceedings-article/icdm/2021/239800b246/1Aqx9wIYoZW", "parentPublication": { "id": "proceedings/icdm/2021/2398/0", "title": "2021 IEEE International Conference on Data Mining (ICDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2020/7168/0/716800a558", "title": "Deep Parametric Shape Predictions Using Distance Fields", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2020/716800a558/1m3o4bZBl1C", "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": "08207608", 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{ "issue": { "id": "1J9y2mtpt3a", "title": "Jan.", "year": "2023", "issueNum": "01", "idPrefix": "tg", "pubType": "journal", "volume": "29", "label": "Jan.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1H1geNCdZIc", "doi": "10.1109/TVCG.2022.3209467", "abstract": "Scientific knowledge develops through cumulative discoveries that build on, contradict, contextualize, or correct prior findings. Scientists and journalists often communicate these incremental findings to lay people through visualizations and text (e.g., the positive and negative effects of caffeine intake). Consequently, readers need to integrate diverse and contrasting evidence from multiple sources to form opinions or make decisions. However, the underlying mechanism for synthesizing information from multiple visualizations remains under-explored. To address this knowledge gap, we conducted a series of four experiments (<inline-formula><tex-math notation=\"LaTeX\">Z_$\\mathrm{N}=1166$_Z</tex-math></inline-formula>) in which participants synthesized empirical evidence from a pair of line charts presented sequentially. In Experiment 1, we administered a baseline condition with charts depicting no specific context where participants held no strong belief. To test for the generalizability, we introduced real-world scenarios to our visualizations in Experiment 2 and added accompanying text descriptions similar to online news articles or blog posts in Experiment 3. In all three experiments, we varied the relative direction and magnitude of line slopes within the chart pairs. We found that participants tended to weigh the positive slope more when the two charts depicted relationships in the opposite direction (e.g., one positive slope and one negative slope). Participants tended to weigh the less steep slope more when the two charts depicted relationships in the same direction (e.g., both positive). Through these experiments, we characterize participants&#x0027; synthesis behaviors depending on the relationship between the information they viewed, contribute to theories describing underlying cognitive mechanisms in information synthesis, and describe design implications for data storytelling.", "abstracts": [ { "abstractType": "Regular", "content": "Scientific knowledge develops through cumulative discoveries that build on, contradict, contextualize, or correct prior findings. Scientists and journalists often communicate these incremental findings to lay people through visualizations and text (e.g., the positive and negative effects of caffeine intake). Consequently, readers need to integrate diverse and contrasting evidence from multiple sources to form opinions or make decisions. However, the underlying mechanism for synthesizing information from multiple visualizations remains under-explored. To address this knowledge gap, we conducted a series of four experiments (<inline-formula><tex-math notation=\"LaTeX\">$\\mathrm{N}=1166$</tex-math><alternatives><graphic position=\"float\" orientation=\"portrait\" xlink:href=\"tvcg-mantri-3209467-eqinline-1-small.tif\"/></alternatives></inline-formula>) in which participants synthesized empirical evidence from a pair of line charts presented sequentially. In Experiment 1, we administered a baseline condition with charts depicting no specific context where participants held no strong belief. To test for the generalizability, we introduced real-world scenarios to our visualizations in Experiment 2 and added accompanying text descriptions similar to online news articles or blog posts in Experiment 3. In all three experiments, we varied the relative direction and magnitude of line slopes within the chart pairs. We found that participants tended to weigh the positive slope more when the two charts depicted relationships in the opposite direction (e.g., one positive slope and one negative slope). Participants tended to weigh the less steep slope more when the two charts depicted relationships in the same direction (e.g., both positive). Through these experiments, we characterize participants&#x0027; synthesis behaviors depending on the relationship between the information they viewed, contribute to theories describing underlying cognitive mechanisms in information synthesis, and describe design implications for data storytelling.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Scientific knowledge develops through cumulative discoveries that build on, contradict, contextualize, or correct prior findings. Scientists and journalists often communicate these incremental findings to lay people through visualizations and text (e.g., the positive and negative effects of caffeine intake). Consequently, readers need to integrate diverse and contrasting evidence from multiple sources to form opinions or make decisions. However, the underlying mechanism for synthesizing information from multiple visualizations remains under-explored. To address this knowledge gap, we conducted a series of four experiments (-) in which participants synthesized empirical evidence from a pair of line charts presented sequentially. In Experiment 1, we administered a baseline condition with charts depicting no specific context where participants held no strong belief. To test for the generalizability, we introduced real-world scenarios to our visualizations in Experiment 2 and added accompanying text descriptions similar to online news articles or blog posts in Experiment 3. In all three experiments, we varied the relative direction and magnitude of line slopes within the chart pairs. We found that participants tended to weigh the positive slope more when the two charts depicted relationships in the opposite direction (e.g., one positive slope and one negative slope). Participants tended to weigh the less steep slope more when the two charts depicted relationships in the same direction (e.g., both positive). Through these experiments, we characterize participants' synthesis behaviors depending on the relationship between the information they viewed, contribute to theories describing underlying cognitive mechanisms in information synthesis, and describe design implications for data storytelling.", "title": "How Do Viewers Synthesize Conflicting Information from Data Visualizations?", "normalizedTitle": "How Do Viewers Synthesize Conflicting Information from Data Visualizations?", "fno": "09904476", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Cognition", "Data Visualisation", "Human Computer Interaction", "Text Analysis", "Web Sites", "Baseline Condition", "Blog Posts", "Caffeine Intake", "Chart Pairs", "Conflicting Information", "Correct Prior Findings", "Cumulative Discoveries", "Data Storytelling", "Data Visualizations", "Empirical Evidence", "Incremental Findings", "Information Synthesis", "Journalists", "Knowledge Gap", "Line Charts", "Line Slopes", "Multiple Visualizations", "Negative Slope", "Online News Articles", "Opposite Direction", "Participants", "Positive Effects", "Positive Slope", "Relative Direction", "Scientific Knowledge", "Steep Slope", "Strong Belief", "Text Descriptions", "Underlying Cognitive Mechanisms", "Data Visualization", "Electronic Mail", "Decision Making", "Uncertainty", "Systematics", "Information Filters", "Data Models", "Information Theory", "Information Synthesis", "Primacy Effect", "Attitude Change", "Conflicting Information" ], "authors": [ { "givenName": "Prateek", "surname": "Mantri", "fullName": "Prateek Mantri", "affiliation": "University of Massachusetts Amherst, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Hariharan", "surname": "Subramonyam", "fullName": "Hariharan Subramonyam", "affiliation": "Stanford University, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Audrey L.", "surname": "Michal", "fullName": "Audrey L. Michal", "affiliation": "University of Michigan Ann Arbor, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Cindy", "surname": "Xiong", "fullName": "Cindy Xiong", "affiliation": "University of Massachusetts Amherst, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2023-01-01 00:00:00", "pubType": "trans", "pages": "1005-1015", "year": "2023", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/cw/2017/2089/0/2089a142", "title": "Building Immersive Data Visualizations for the Web", "doi": null, "abstractUrl": "/proceedings-article/cw/2017/2089a142/12OmNx6PiB6", "parentPublication": { "id": "proceedings/cw/2017/2089/0", "title": "2017 International Conference on Cyberworlds (CW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08019855", "title": "Conceptual and Methodological Issues in Evaluating Multidimensional Visualizations for Decision Support", "doi": null, "abstractUrl": "/journal/tg/2018/01/08019855/13rRUB6Sq0E", "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": "trans/tg/2018/01/08017606", "title": "Active Reading of Visualizations", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017606/13rRUyYSWl5", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440809", "title": "Mitigating the Attraction Effect with Visualizations", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440809/17D45XH89qj", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09904455", "title": "Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations", "doi": null, "abstractUrl": "/journal/tg/2023/01/09904455/1H1gjlaBqVO", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09913065", "title": "Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes", "doi": null, "abstractUrl": "/journal/tg/2023/01/09913065/1HfCsYrtcas", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08809832", "title": "Searching the Visual Style and Structure of D3 Visualizations", "doi": null, "abstractUrl": "/journal/tg/2020/01/08809832/1cHEgg8WeNW", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2019/4941/0/08933766", "title": "Would You Like A Chart With That? Incorporating Visualizations into Conversational Interfaces", "doi": null, "abstractUrl": "/proceedings-article/vis/2019/08933766/1fTgGnTMk4E", "parentPublication": { "id": "proceedings/vis/2019/4941/0", "title": "2019 IEEE Visualization Conference (VIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/01/09548797", "title": "Effect of uncertainty visualizations on myopic loss aversion and the equity premium puzzle in retirement investment decisions", "doi": null, "abstractUrl": "/journal/tg/2022/01/09548797/1xeSlZqOf8A", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09917516", "articleId": "1HrexIf2zZe", "__typename": "AdjacentArticleType" }, "next": { "fno": "09903512", "articleId": "1GZol4dym8U", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "1J9yuUDWZc4", "name": "ttg202301-09904476s1-supp1-3209467.pdf", "location": "https://www.computer.org/csdl/api/v1/extra/ttg202301-09904476s1-supp1-3209467.pdf", "extension": "pdf", "size": "32.6 kB", "__typename": "WebExtraType" } ], "articleVideos": [] }
{ "issue": { "id": "1J9y2mtpt3a", "title": "Jan.", "year": "2023", "issueNum": "01", "idPrefix": "tg", "pubType": "journal", "volume": "29", "label": "Jan.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1H1giUQajSM", "doi": "10.1109/TVCG.2022.3209474", "abstract": "Recent technological innovations have led to an increase in the availability of 3D urban data, such as shadow, noise, solar potential, and earthquake simulations. These spatiotemporal datasets create opportunities for new visualizations to engage experts from different domains to study the dynamic behavior of urban spaces in this under explored dimension. However, designing 3D spatiotemporal urban visualizations is challenging, as it requires visual strategies to support analysis of time-varying data referent to the city geometry. Although different visual strategies have been used in 3D urban visual analytics, the question of how effective these visual designs are at supporting spatiotemporal analysis on building surfaces remains open. To investigate this, in this paper we first contribute a series of analytical tasks elicited after interviews with practitioners from three urban domains. We also contribute a quantitative user study comparing the effectiveness of four representative visual designs used to visualize 3D spatiotemporal urban data: spatial juxtaposition, temporal juxtaposition, linked view, and embedded view. Participants performed a series of tasks that required them to identify extreme values on building surfaces over time. Tasks varied in granularity for both space and time dimensions. Our results demonstrate that participants were more accurate using plot-based visualizations (linked view, embedded view) but faster using color-coded visualizations (spatial juxtaposition, temporal juxtaposition). Our results also show that, with increasing task complexity, plot-based visualizations perform better in preserving efficiency (time, accuracy) compared to color-coded visualizations. Based on our findings, we present a set of takeaways with design recommendations for 3D spatiotemporal urban visualizations for researchers and practitioners. Lastly, we report on a series of interviews with four practitioners, and their feedback and suggestions for further work on the visualizations to support 3D spatiotemporal urban data analysis.", "abstracts": [ { "abstractType": "Regular", "content": "Recent technological innovations have led to an increase in the availability of 3D urban data, such as shadow, noise, solar potential, and earthquake simulations. These spatiotemporal datasets create opportunities for new visualizations to engage experts from different domains to study the dynamic behavior of urban spaces in this under explored dimension. However, designing 3D spatiotemporal urban visualizations is challenging, as it requires visual strategies to support analysis of time-varying data referent to the city geometry. Although different visual strategies have been used in 3D urban visual analytics, the question of how effective these visual designs are at supporting spatiotemporal analysis on building surfaces remains open. To investigate this, in this paper we first contribute a series of analytical tasks elicited after interviews with practitioners from three urban domains. We also contribute a quantitative user study comparing the effectiveness of four representative visual designs used to visualize 3D spatiotemporal urban data: spatial juxtaposition, temporal juxtaposition, linked view, and embedded view. Participants performed a series of tasks that required them to identify extreme values on building surfaces over time. Tasks varied in granularity for both space and time dimensions. Our results demonstrate that participants were more accurate using plot-based visualizations (linked view, embedded view) but faster using color-coded visualizations (spatial juxtaposition, temporal juxtaposition). Our results also show that, with increasing task complexity, plot-based visualizations perform better in preserving efficiency (time, accuracy) compared to color-coded visualizations. Based on our findings, we present a set of takeaways with design recommendations for 3D spatiotemporal urban visualizations for researchers and practitioners. Lastly, we report on a series of interviews with four practitioners, and their feedback and suggestions for further work on the visualizations to support 3D spatiotemporal urban data analysis.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Recent technological innovations have led to an increase in the availability of 3D urban data, such as shadow, noise, solar potential, and earthquake simulations. These spatiotemporal datasets create opportunities for new visualizations to engage experts from different domains to study the dynamic behavior of urban spaces in this under explored dimension. However, designing 3D spatiotemporal urban visualizations is challenging, as it requires visual strategies to support analysis of time-varying data referent to the city geometry. Although different visual strategies have been used in 3D urban visual analytics, the question of how effective these visual designs are at supporting spatiotemporal analysis on building surfaces remains open. To investigate this, in this paper we first contribute a series of analytical tasks elicited after interviews with practitioners from three urban domains. We also contribute a quantitative user study comparing the effectiveness of four representative visual designs used to visualize 3D spatiotemporal urban data: spatial juxtaposition, temporal juxtaposition, linked view, and embedded view. Participants performed a series of tasks that required them to identify extreme values on building surfaces over time. Tasks varied in granularity for both space and time dimensions. Our results demonstrate that participants were more accurate using plot-based visualizations (linked view, embedded view) but faster using color-coded visualizations (spatial juxtaposition, temporal juxtaposition). Our results also show that, with increasing task complexity, plot-based visualizations perform better in preserving efficiency (time, accuracy) compared to color-coded visualizations. Based on our findings, we present a set of takeaways with design recommendations for 3D spatiotemporal urban visualizations for researchers and practitioners. Lastly, we report on a series of interviews with four practitioners, and their feedback and suggestions for further work on the visualizations to support 3D spatiotemporal urban data analysis.", "title": "A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics", "normalizedTitle": "A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics", "fno": "09904453", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Analysis", "Data Visualisation", "3 D Spatiotemporal Urban Data Analysis", "3 D Spatiotemporal Urban Visualizations", "3 D Urban Visual Analytics", "Color Coded Visualizations", "Plot Based Visualizations", "Representative Visual Designs", "Spatial Juxtaposition", "Spatiotemporal Analysis", "Spatiotemporal Datasets", "Spatiotemporal Visualizations", "Temporal Juxtaposition", "Time Varying Data Referent", "Urban Domains", "Urban Spaces", "Data Visualization", "Three Dimensional Displays", "Urban Areas", "Spatiotemporal Phenomena", "Task Analysis", "Buildings", "Spatial Databases", "Visualization", "Urban Analytics", "Urban Data", "Spatiotemporal Data", "Empirical Evaluation" ], "authors": [ { "givenName": "Roberta", "surname": "Mota", "fullName": "Roberta Mota", "affiliation": "University of Calgary, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Nivan", "surname": "Ferreira", "fullName": "Nivan Ferreira", "affiliation": "Universidade Federal de Pernambuco, Brazil", "__typename": "ArticleAuthorType" }, { "givenName": "Julio Daniel", "surname": "Silva", "fullName": "Julio Daniel Silva", "affiliation": "University of Calgary, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Marius", "surname": "Horga", "fullName": "Marius Horga", "affiliation": "University of Illinois at Chicago, United States", "__typename": "ArticleAuthorType" }, { "givenName": "Marcos", "surname": "Lage", "fullName": "Marcos Lage", "affiliation": "Universidade Federal Fluminense, Brazil", "__typename": "ArticleAuthorType" }, { "givenName": "Luis", "surname": "Ceferino", "fullName": "Luis Ceferino", "affiliation": "New York University, United States", "__typename": "ArticleAuthorType" }, { "givenName": "Usman", "surname": "Alim", "fullName": "Usman Alim", "affiliation": "University of Calgary, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Ehud", "surname": "Sharlin", "fullName": "Ehud Sharlin", "affiliation": "University of Calgary, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Fabio", "surname": "Miranda", "fullName": "Fabio Miranda", "affiliation": "University of Illinois at Chicago, United States", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2023-01-01 00:00:00", "pubType": "trans", "pages": "1277-1287", "year": "2023", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": 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"id": "proceedings/big-data/2019/0858/0/09005461", "title": "USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity", "doi": null, "abstractUrl": "/proceedings-article/big-data/2019/09005461/1hJsp5wouDS", "parentPublication": { "id": "proceedings/big-data/2019/0858/0", "title": "2019 IEEE International Conference on Big Data (Big Data)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2022/08/09242313", "title": "Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective", "doi": null, "abstractUrl": "/journal/tk/2022/08/09242313/1oijolExBNS", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bdcat/2020/2396/0/239600a047", "title": "Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets", "doi": 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{ "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": "1o3nzeZgQTe", "doi": "10.1109/TVCG.2020.3030423", "abstract": "We contribute MobileVisFixer, a new method to make visualizations more mobile-friendly. Although mobile devices have become the primary means of accessing information on the web, many existing visualizations are not optimized for small screens and can lead to a frustrating user experience. Currently, practitioners and researchers have to engage in a tedious and time-consuming process to ensure that their designs scale to screens of different sizes, and existing toolkits and libraries provide little support in diagnosing and repairing issues. To address this challenge, MobileVisFixer automates a mobile-friendly visualization re-design process with a novel reinforcement learning framework. To inform the design of MobileVisFixer, we first collected and analyzed SVG-based visualizations on the web, and identified five common mobile-friendly issues. MobileVisFixer addresses four of these issues on single-view Cartesian visualizations with linear or discrete scales by a Markov Decision Process model that is both generalizable across various visualizations and fully explainable. MobileVisFixer deconstructs charts into declarative formats, and uses a greedy heuristic based on Policy Gradient methods to find solutions to this difficult, multi-criteria optimization problem in reasonable time. In addition, MobileVisFixer can be easily extended with the incorporation of optimization algorithms for data visualizations. Quantitative evaluation on two real-world datasets demonstrates the effectiveness and generalizability of our method.", "abstracts": [ { "abstractType": "Regular", "content": "We contribute MobileVisFixer, a new method to make visualizations more mobile-friendly. Although mobile devices have become the primary means of accessing information on the web, many existing visualizations are not optimized for small screens and can lead to a frustrating user experience. Currently, practitioners and researchers have to engage in a tedious and time-consuming process to ensure that their designs scale to screens of different sizes, and existing toolkits and libraries provide little support in diagnosing and repairing issues. To address this challenge, MobileVisFixer automates a mobile-friendly visualization re-design process with a novel reinforcement learning framework. To inform the design of MobileVisFixer, we first collected and analyzed SVG-based visualizations on the web, and identified five common mobile-friendly issues. MobileVisFixer addresses four of these issues on single-view Cartesian visualizations with linear or discrete scales by a Markov Decision Process model that is both generalizable across various visualizations and fully explainable. MobileVisFixer deconstructs charts into declarative formats, and uses a greedy heuristic based on Policy Gradient methods to find solutions to this difficult, multi-criteria optimization problem in reasonable time. In addition, MobileVisFixer can be easily extended with the incorporation of optimization algorithms for data visualizations. Quantitative evaluation on two real-world datasets demonstrates the effectiveness and generalizability of our method.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We contribute MobileVisFixer, a new method to make visualizations more mobile-friendly. Although mobile devices have become the primary means of accessing information on the web, many existing visualizations are not optimized for small screens and can lead to a frustrating user experience. Currently, practitioners and researchers have to engage in a tedious and time-consuming process to ensure that their designs scale to screens of different sizes, and existing toolkits and libraries provide little support in diagnosing and repairing issues. To address this challenge, MobileVisFixer automates a mobile-friendly visualization re-design process with a novel reinforcement learning framework. To inform the design of MobileVisFixer, we first collected and analyzed SVG-based visualizations on the web, and identified five common mobile-friendly issues. MobileVisFixer addresses four of these issues on single-view Cartesian visualizations with linear or discrete scales by a Markov Decision Process model that is both generalizable across various visualizations and fully explainable. MobileVisFixer deconstructs charts into declarative formats, and uses a greedy heuristic based on Policy Gradient methods to find solutions to this difficult, multi-criteria optimization problem in reasonable time. In addition, MobileVisFixer can be easily extended with the incorporation of optimization algorithms for data visualizations. Quantitative evaluation on two real-world datasets demonstrates the effectiveness and generalizability of our method.", "title": "MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework", "normalizedTitle": "MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework", "fno": "09229072", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualisation", "Decision Theory", "Gradient Methods", "Learning Artificial Intelligence", "Markov Processes", "Mobile Computing", "Mobile Handsets", "Optimisation", "Web Visualizations", "Mobile Phones", "Explainable Reinforcement Learning Framework", "Mobile Devices", "Frustrating User Experience", "Tedious Time Consuming Process", "Designs Scale", "Libraries", "Diagnosing", "Repairing Issues", "Mobile Friendly Visualization Re Design Process", "Reinforcement Learning Framework", "SVG Based Visualizations", "Common Mobile Friendly Issues", "Single View Cartesian Visualizations", "Markov Decision Process Model", "Mobile Vis Fixer", "Data Visualizations", "Data Visualization", "Visualization", "Mobile Handsets", "Sociology", "Statistics", "Encoding", "Layout", "Mobile Visualization", "Responsive Visualization", "Machine Learning For Visualizations", "Reinforcement Learning" ], "authors": [ { "givenName": "Aoyu", "surname": "Wu", "fullName": "Aoyu Wu", "affiliation": "Hong Kong University of Science and Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Wai", "surname": "Tong", "fullName": "Wai Tong", "affiliation": "Hong Kong University of Science and Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Tim", "surname": "Dwyer", "fullName": "Tim Dwyer", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Bongshin", "surname": "Lee", "fullName": "Bongshin Lee", "affiliation": "Microsoft Research", "__typename": "ArticleAuthorType" }, { "givenName": "Petra", "surname": "Isenberg", "fullName": "Petra Isenberg", "affiliation": "Inria", "__typename": "ArticleAuthorType" }, { "givenName": "Huamin", "surname": "Qu", "fullName": "Huamin Qu", "affiliation": "Hong Kong University of Science and Technology", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2021-02-01 00:00:00", "pubType": "trans", "pages": "464-474", "year": "2021", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/ozchi/1996/7525/0/75250012", "title": "Automated General Visualizations", "doi": null, "abstractUrl": "/proceedings-article/ozchi/1996/75250012/12OmNBZYTnu", "parentPublication": { "id": "proceedings/ozchi/1996/7525/0", "title": "Proceedings Sixth Australian Conference on Computer-Human Interaction", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wetice/2000/0798/0/07980043", "title": "Should Users Inhabit Visualizations?", "doi": null, "abstractUrl": "/proceedings-article/wetice/2000/07980043/12OmNvSbBA2", "parentPublication": { "id": "proceedings/wetice/2000/0798/0", "title": "Proceedings IEEE 9th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE 2000)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2013/4797/0/06596147", "title": "On the faithfulness of graph visualizations", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2013/06596147/12OmNwCJON7", "parentPublication": { "id": "proceedings/pacificvis/2013/4797/0", "title": "2013 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/acsat/2013/2758/0/2758a435", "title": "Qualitative 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{ "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": "13rRUx0xPIu", "doi": "10.1109/TVCG.2007.70522", "abstract": "The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network infrastructure. The vast number of security incidents and other anomalies overwhelms attempts at manual analysis, especially when monitoring service provider backbone links. We present an approach to interactive visualization with a case study indicating that interactive visualization can be applied to gain more insight into these large data sets. We superimpose a hierarchy on IP address space, and study the suitability of Treemap variants for each hierarchy level. Because viewing the whole IP hierarchy at once is not practical for most tasks, we evaluate layout stability when eliding large parts of the hierarchy, while maintaining the visibility and ordering of the data of interest.", "abstracts": [ { "abstractType": "Regular", "content": "The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network infrastructure. The vast number of security incidents and other anomalies overwhelms attempts at manual analysis, especially when monitoring service provider backbone links. We present an approach to interactive visualization with a case study indicating that interactive visualization can be applied to gain more insight into these large data sets. We superimpose a hierarchy on IP address space, and study the suitability of Treemap variants for each hierarchy level. Because viewing the whole IP hierarchy at once is not practical for most tasks, we evaluate layout stability when eliding large parts of the hierarchy, while maintaining the visibility and ordering of the data of interest.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network infrastructure. The vast number of security incidents and other anomalies overwhelms attempts at manual analysis, especially when monitoring service provider backbone links. We present an approach to interactive visualization with a case study indicating that interactive visualization can be applied to gain more insight into these large data sets. We superimpose a hierarchy on IP address space, and study the suitability of Treemap variants for each hierarchy level. Because viewing the whole IP hierarchy at once is not practical for most tasks, we evaluate layout stability when eliding large parts of the hierarchy, while maintaining the visibility and ordering of the data of interest.", "title": "Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats", "normalizedTitle": "Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats", "fno": "04376129", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Telecommunication Traffic", "Computerized Monitoring", "IP Networks", "Data Security", "Data Visualization", "Computer Security", "Stability", "Protection", "Data Analysis", "Continents", "Treemap", "Information Visualization", "Network Security", "Network Monitoring" ], "authors": [ { "givenName": "Florian", "surname": "Mansmann", "fullName": "Florian Mansmann", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Daniel A.", "surname": "Keim", "fullName": "Daniel A. Keim", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Stephen C.", "surname": "North", "fullName": "Stephen C. North", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Brian", "surname": "Rexroad", "fullName": "Brian Rexroad", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Daniel", "surname": "Sheleheda", "fullName": "Daniel Sheleheda", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1105-1112", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icon/2001/1187/0/00962329", "title": "The group security association for secure multicasting", "doi": null, "abstractUrl": "/proceedings-article/icon/2001/00962329/12OmNAoUTlk", "parentPublication": { "id": "proceedings/icon/2001/1187/0", "title": "Proceedings Ninth IEEE International Conference on Networks. ICON 2001", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/snpd/2007/2909/3/290930526", "title": "Threats Analysis and Prevention for Grid and Web Service Security", "doi": null, "abstractUrl": "/proceedings-article/snpd/2007/290930526/12OmNBqMDhp", "parentPublication": { "id": "proceedings/snpd/2007/2909/3", "title": "Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mass/1991/2155/0/00160201", "title": "Client requirements for a UNIX-based network file-transport utility", "doi": null, "abstractUrl": "/proceedings-article/mass/1991/00160201/12OmNqJHFsu", "parentPublication": { "id": "proceedings/mass/1991/2155/0", "title": "[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cnsm/2014/67/0/07014175", "title": "Unwanted traffic characterization on IP networks by low interactive honeypot", "doi": null, "abstractUrl": "/proceedings-article/cnsm/2014/07014175/12OmNwDSdIG", "parentPublication": { "id": "proceedings/cnsm/2014/67/0", "title": "2014 10th International Conference on Network and Service Management (CNSM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vizsec/2016/1605/0/07739583", "title": "Bigfoot: A geo-based visualization methodology for detecting BGP threats", "doi": null, "abstractUrl": "/proceedings-article/vizsec/2016/07739583/12OmNwbukiX", "parentPublication": { "id": "proceedings/vizsec/2016/1605/0", "title": "2016 IEEE Symposium on Visualization for Cyber Security (VizSec)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/csac/1990/2105/0/00143812", "title": "An authorization plan for commercial service systems", "doi": null, "abstractUrl": "/proceedings-article/csac/1990/00143812/12OmNzUPpHg", "parentPublication": { "id": "proceedings/csac/1990/2105/0", "title": "1990 Proceedings of the Sixth Annual Computer Security Applications Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cmpcon/1991/2134/0/00128805", "title": "Threats to privacy and public keys for protection", "doi": null, "abstractUrl": "/proceedings-article/cmpcon/1991/00128805/12OmNzWfoXy", "parentPublication": { "id": "proceedings/cmpcon/1991/2134/0", "title": "COMPCON Spring '91", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1105", "title": "Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1105/13rRUy0qnLz", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vizsec/2018/8194/0/08709182", "title": "Visual-Interactive Identification of Anomalous IP-Block Behavior Using Geo-IP Data", "doi": null, "abstractUrl": "/proceedings-article/vizsec/2018/08709182/19ZL2TO0i64", "parentPublication": { "id": "proceedings/vizsec/2018/8194/0", "title": "2018 IEEE Symposium on Visualization for Cyber Security (VizSec)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/big-data/2019/0858/0/09006586", "title": "Application of XGBoost to the cyber-security problem of detecting suspicious network traffic events", "doi": null, "abstractUrl": "/proceedings-article/big-data/2019/09006586/1hJsDwOn8E8", "parentPublication": { "id": "proceedings/big-data/2019/0858/0", "title": "2019 IEEE International Conference on Big Data (Big Data)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": null, "next": { "fno": "04376140", "articleId": "13rRUy0HYRh", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNrJRP2e", "title": "Sept.-Oct.", "year": "2016", "issueNum": "05", "idPrefix": "cg", "pubType": "magazine", "volume": "36", "label": "Sept.-Oct.", "downloadables": { "hasCover": true, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwInvM0", "doi": "10.1109/MCG.2016.90", "abstract": "An advanced interface for sports tournament predictions uses direct manipulation to allow users to make nonlinear predictions. Unlike previous interface designs, the interface helps users focus on their prediction tasks by enabling them to first choose a winner and then fill out the rest of the bracket. In real-world tests of the proposed interface (for the 2014 FIFA World Cup tournament and 2015/2016 UEFA Champions League), the authors validated the use of direct manipulation as an alternative to widgets. Using visitor interaction logs, they were able to determine the strategies people use to perform predictions and identify potential areas of improvement for further prediction interfaces.", "abstracts": [ { "abstractType": "Regular", "content": "An advanced interface for sports tournament predictions uses direct manipulation to allow users to make nonlinear predictions. Unlike previous interface designs, the interface helps users focus on their prediction tasks by enabling them to first choose a winner and then fill out the rest of the bracket. In real-world tests of the proposed interface (for the 2014 FIFA World Cup tournament and 2015/2016 UEFA Champions League), the authors validated the use of direct manipulation as an alternative to widgets. Using visitor interaction logs, they were able to determine the strategies people use to perform predictions and identify potential areas of improvement for further prediction interfaces.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "An advanced interface for sports tournament predictions uses direct manipulation to allow users to make nonlinear predictions. Unlike previous interface designs, the interface helps users focus on their prediction tasks by enabling them to first choose a winner and then fill out the rest of the bracket. In real-world tests of the proposed interface (for the 2014 FIFA World Cup tournament and 2015/2016 UEFA Champions League), the authors validated the use of direct manipulation as an alternative to widgets. Using visitor interaction logs, they were able to determine the strategies people use to perform predictions and identify potential areas of improvement for further prediction interfaces.", "title": "Sports Tournament Predictions Using Direct Manipulation", "normalizedTitle": "Sports Tournament Predictions Using Direct Manipulation", "fno": "mcg2016050062", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Human Computer Interaction", "Sport", "User Interfaces", "Sports Tournament Prediction", "Direct Manipulation", "User Interface", "Visitor Interaction Log", "Games", "Computer Graphics", "Nonlinear Systems", "Predictive Models", "Human Computer Interaction", "Visualization", "Entertainmnet Industry", "Computer Graphics", "User Interface Design", "Nonlinear Predictions", "Direct Manipulation", "Human Computer Interaction", "Information Visualization", "User Generated Predictions" ], "authors": [ { "givenName": "Romain", "surname": "Vuillemot", "fullName": "Romain Vuillemot", "affiliation": "Université de Lyon", "__typename": "ArticleAuthorType" }, { "givenName": "Charles", "surname": "Perin", "fullName": "Charles Perin", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2016-09-01 00:00:00", "pubType": "mags", "pages": "62-71", "year": "2016", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/robot/1991/2163/0/00131678", "title": "Manipulation planning for empirical backprojections", "doi": null, "abstractUrl": "/proceedings-article/robot/1991/00131678/12OmNB0nWbi", "parentPublication": { "id": "proceedings/robot/1991/2163/0", "title": "Proceedings. 1991 IEEE International Conference on Robotics and Automation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/tabletop/2006/2494/0/24940123", "title": "Feel the Beat: Direct Manipulation of Sound during Playback", "doi": null, "abstractUrl": "/proceedings-article/tabletop/2006/24940123/12OmNwcCILl", "parentPublication": { "id": "proceedings/tabletop/2006/2494/0", "title": "First IEEE International Workshop on Horizontal Interactive Human-Computer Systems 2006", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/isise/2010/4360/0/4360a202", "title": "Direct Manipulation of 3D Mesh Deformation", "doi": null, "abstractUrl": "/proceedings-article/isise/2010/4360a202/12OmNx1qUZ2", "parentPublication": { "id": "proceedings/isise/2010/4360/0", "title": "2010 Third International Symposium on Information Science and Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2018/1424/0/142401a036", "title": "Smart Surrogate Widgets for Direct Volume Manipulation", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2018/142401a036/12OmNyUnEJY", "parentPublication": { "id": "proceedings/pacificvis/2018/1424/0", "title": "2018 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/3dui/2008/2047/0/04476621", "title": "Poster: Evaluation of an Approach for Remote Object Manipulation Utilizing Dynamic Magnifying Lenses", "doi": null, "abstractUrl": "/proceedings-article/3dui/2008/04476621/12OmNz4SOzt", "parentPublication": { "id": "proceedings/3dui/2008/2047/0", "title": "2008 IEEE Symposium on 3D User Interfaces", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2010/04/mcg2010040042", "title": "Direct Manipulation Blendshapes", "doi": null, "abstractUrl": "/magazine/cg/2010/04/mcg2010040042/13rRUB6Sq4P", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1113", "title": "AdaptiviTree: Adaptive Tree Visualization for Tournament-Style Brackets", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1113/13rRUwInuWr", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2006/05/mcg2006050036", "title": "Informing the Design of Direct-Touch Tabletops", "doi": null, "abstractUrl": "/magazine/cg/2006/05/mcg2006050036/13rRUwvT9iE", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/pc/2018/01/mpc2018010075", "title": "Toward Direct Manipulation for Personal Fabrication", "doi": null, "abstractUrl": "/magazine/pc/2018/01/mpc2018010075/13rRUyoyhLu", "parentPublication": { "id": "mags/pc", "title": "IEEE Pervasive Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ismar/2021/0158/0/015800a403", "title": "Separation, Composition, or Hybrid? &#x2013; Comparing Collaborative 3D Object Manipulation Techniques for Handheld Augmented Reality", "doi": null, "abstractUrl": "/proceedings-article/ismar/2021/015800a403/1yeD8DDATSw", "parentPublication": { "id": "proceedings/ismar/2021/0158/0", "title": "2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2016050050", "articleId": "13rRUIJcWr3", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2016050072", "articleId": "13rRUzpzeEo", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNyPQ4Dx", "title": "Dec.", "year": "2012", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "18", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwInvsO", "doi": "10.1109/TVCG.2012.204", "abstract": "The importance of interaction to Information Visualization (InfoVis) and, in particular, of the interplay between interactivity and cognition is widely recognized [12,15,32,55,70]. This interplay, combined with the demands from increasingly large and complex datasets, is driving the increased significance of interaction in InfoVis. In parallel, there have been rapid advances in many facets of interaction technologies. However, InfoVis interactions have yet to take full advantage of these new possibilities in interaction technologies, as they largely still employ the traditional desktop, mouse, and keyboard setup of WIMP (Windows, Icons, Menus, and a Pointer) interfaces. In this paper, we reflect more broadly about the role of more “natural” interactions for InfoVis and provide opportunities for future research. We discuss and relate general HCI interaction models to existing InfoVis interaction classifications by looking at interactions from a novel angle, taking into account the entire spectrum of interactions. Our discussion of InfoVis-specific interaction design considerations helps us identify a series of underexplored attributes of interaction that can lead to new, more “natural,” interaction techniques for InfoVis.", "abstracts": [ { "abstractType": "Regular", "content": "The importance of interaction to Information Visualization (InfoVis) and, in particular, of the interplay between interactivity and cognition is widely recognized [12,15,32,55,70]. This interplay, combined with the demands from increasingly large and complex datasets, is driving the increased significance of interaction in InfoVis. In parallel, there have been rapid advances in many facets of interaction technologies. However, InfoVis interactions have yet to take full advantage of these new possibilities in interaction technologies, as they largely still employ the traditional desktop, mouse, and keyboard setup of WIMP (Windows, Icons, Menus, and a Pointer) interfaces. In this paper, we reflect more broadly about the role of more “natural” interactions for InfoVis and provide opportunities for future research. We discuss and relate general HCI interaction models to existing InfoVis interaction classifications by looking at interactions from a novel angle, taking into account the entire spectrum of interactions. Our discussion of InfoVis-specific interaction design considerations helps us identify a series of underexplored attributes of interaction that can lead to new, more “natural,” interaction techniques for InfoVis.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The importance of interaction to Information Visualization (InfoVis) and, in particular, of the interplay between interactivity and cognition is widely recognized [12,15,32,55,70]. This interplay, combined with the demands from increasingly large and complex datasets, is driving the increased significance of interaction in InfoVis. In parallel, there have been rapid advances in many facets of interaction technologies. However, InfoVis interactions have yet to take full advantage of these new possibilities in interaction technologies, as they largely still employ the traditional desktop, mouse, and keyboard setup of WIMP (Windows, Icons, Menus, and a Pointer) interfaces. In this paper, we reflect more broadly about the role of more “natural” interactions for InfoVis and provide opportunities for future research. We discuss and relate general HCI interaction models to existing InfoVis interaction classifications by looking at interactions from a novel angle, taking into account the entire spectrum of interactions. Our discussion of InfoVis-specific interaction design considerations helps us identify a series of underexplored attributes of interaction that can lead to new, more “natural,” interaction techniques for InfoVis.", "title": "Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions", "normalizedTitle": "Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions", "fno": "ttg2012122689", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualization", "Instruments", "Information Analysis", "Human Computer Interaction", "Taxonomy", "User Interfaces", "NUI Natural User Interface", "Design Considerations", "Interaction", "Post WIMP" ], "authors": [ { "givenName": "Bongshin", "surname": "Lee", "fullName": "Bongshin Lee", "affiliation": "Microsoft Research", "__typename": "ArticleAuthorType" }, { "givenName": "Petra", "surname": "Isenberg", "fullName": "Petra Isenberg", "affiliation": "INRIA", "__typename": "ArticleAuthorType" }, { "givenName": "Nathalie Henry", "surname": "Riche", "fullName": "Nathalie Henry Riche", "affiliation": "Microsoft Research", "__typename": "ArticleAuthorType" }, { "givenName": "Sheelagh", "surname": "Carpendale", "fullName": "Sheelagh Carpendale", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2012-12-01 00:00:00", "pubType": "trans", "pages": "2689-2698", "year": "2012", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icinis/2009/3852/0/3852a374", "title": "A Framework for Multi-devices Based Intelligent Interactions", "doi": null, "abstractUrl": "/proceedings-article/icinis/2009/3852a374/12OmNAQJzSh", "parentPublication": { "id": "proceedings/icinis/2009/3852/0", "title": "Intelligent Networks and Intelligent Systems, International Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vast/2012/4752/0/06400506", "title": "Visual analytics for network security", "doi": null, "abstractUrl": "/proceedings-article/vast/2012/06400506/12OmNC3o50f", "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/sose/2008/3499/0/3499a103", "title": "Integrating Service Composition Flow with User Interactions", "doi": null, "abstractUrl": "/proceedings-article/sose/2008/3499a103/12OmNvDI3HS", "parentPublication": { "id": "proceedings/sose/2008/3499/0", "title": "2008 IEEE International Symposium on Service-Oriented System Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/esem/2013/5056/0/5056a287", "title": "Classification of Language Interactions", "doi": null, "abstractUrl": "/proceedings-article/esem/2013/5056a287/12OmNwHhoWH", "parentPublication": { "id": "proceedings/esem/2013/5056/0", "title": "2013 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122779", "title": "Understanding Pen and Touch Interaction for Data Exploration on Interactive Whiteboards", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122779/13rRUIJcWlm", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/04376144", "title": "Toward a Deeper Understanding of the Role of Interaction in Information Visualization", "doi": null, "abstractUrl": "/journal/tg/2007/06/04376144/13rRUNvyakD", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/co/2012/04/mco2012040021", "title": "Interaction Beyond the Keyboard", "doi": null, "abstractUrl": "/magazine/co/2012/04/mco2012040021/13rRUxBJhq2", "parentPublication": { "id": "mags/co", "title": "Computer", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1224", "title": "Toward a Deeper Understanding of the Role of Interaction in Information Visualization", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1224/13rRUxD9gXy", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/co/2012/04/mco2012040036", "title": "Novel Interactions on the Keyboard", "doi": null, "abstractUrl": "/magazine/co/2012/04/mco2012040036/13rRUyYSWnJ", "parentPublication": { "id": "mags/co", "title": "Computer", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2013/01/mcg2013010087", "title": "Shrinking Hardware, Expanding Interfaces", "doi": null, "abstractUrl": "/magazine/cg/2013/01/mcg2013010087/13rRUzpzeDz", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2012122679", "articleId": "13rRUwhHcQR", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2012122699", "articleId": "13rRUxASupz", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNAHW0IR", "title": "April/June", "year": "2005", "issueNum": "02", "idPrefix": "mu", "pubType": "magazine", "volume": "12", "label": "April/June", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwInvi2", "doi": "10.1109/MMUL.2005.33", "abstract": "We use 3D sound to help navigate an immersive virtual environment and report results of user tests obtained with a game-like application. The results show that auditory cues help in navigation, and auditory navigation is possible even without any visual feedback. The best performance is obtained in audio visual navigation where auditory cues indicate the approximate direction and visual cues help in the final approach.", "abstracts": [ { "abstractType": "Regular", "content": "We use 3D sound to help navigate an immersive virtual environment and report results of user tests obtained with a game-like application. The results show that auditory cues help in navigation, and auditory navigation is possible even without any visual feedback. The best performance is obtained in audio visual navigation where auditory cues indicate the approximate direction and visual cues help in the final approach.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We use 3D sound to help navigate an immersive virtual environment and report results of user tests obtained with a game-like application. The results show that auditory cues help in navigation, and auditory navigation is possible even without any visual feedback. The best performance is obtained in audio visual navigation where auditory cues indicate the approximate direction and visual cues help in the final approach.", "title": "Navigation with Auditory Cues in a Virtual Environment", "normalizedTitle": "Navigation with Auditory Cues in a Virtual Environment", "fno": "u2080", "hasPdf": true, "idPrefix": "mu", "keywords": [ "Auditory Navigation", "Audio Visual", "Virtual Environments", "3 D Sound" ], "authors": [ { "givenName": "Tapio", "surname": "Lokki", "fullName": "Tapio Lokki", "affiliation": "Helsinki University of Technology, Finland", "__typename": "ArticleAuthorType" }, { "givenName": "Matti", "surname": "Gr?", "fullName": "Matti Gr?", "affiliation": "CSC-Scientific Computing, Finland", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2005-04-01 00:00:00", "pubType": "mags", "pages": "80-86", "year": "2005", "issn": "1070-986X", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/sive/2014/5781/0/07006288", "title": "Reproducible sonification for virtual navigation", "doi": null, "abstractUrl": "/proceedings-article/sive/2014/07006288/12OmNAtaS0G", "parentPublication": { "id": "proceedings/sive/2014/5781/0", "title": "2014 IEEE VR Workshop: Sonic Interaction in Virtual Environments (SIVE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2015/1727/0/07223342", "title": "Wayfinding by auditory cues in virtual environments", "doi": null, "abstractUrl": "/proceedings-article/vr/2015/07223342/12OmNB8TU5g", "parentPublication": { "id": "proceedings/vr/2015/1727/0", "title": "2015 IEEE Virtual Reality (VR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/achi/2008/3086/0/3086a069", "title": "Spatial Auditory Interface for an Embedded Communication Device in a Car", "doi": null, "abstractUrl": "/proceedings-article/achi/2008/3086a069/12OmNxzuMQU", "parentPublication": { "id": "proceedings/achi/2008/3086/0", "title": "International Conference on Advances in Computer-Human Interaction", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ie/2010/4149/0/4149a040", "title": "A Framework for Auditory Displays in Intelligent Environments", "doi": null, "abstractUrl": "/proceedings-article/ie/2010/4149a040/12OmNzICEOa", "parentPublication": { "id": "proceedings/ie/2010/4149/0", "title": "Intelligent Environments, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/itcc/2000/0540/0/05400462", "title": "Empirically Derived Design Issues in Auditory Information Processing for Mobile Telephony", "doi": null, "abstractUrl": "/proceedings-article/itcc/2000/05400462/12OmNzTYBNy", "parentPublication": { "id": "proceedings/itcc/2000/0540/0", "title": "Information Technology: Coding and Computing, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vrais/1995/7084/0/70840074", "title": "Presence in virtual environments as a function of visual and auditory cues", "doi": null, "abstractUrl": "/proceedings-article/vrais/1995/70840074/12OmNzlUKP6", "parentPublication": { "id": "proceedings/vrais/1995/7084/0", "title": "Virtual Reality Annual International Symposium", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/05/08643846", "title": "Auditory Feedback for Navigation with Echoes in Virtual Environments: Training Procedure and Orientation Strategies", "doi": null, "abstractUrl": "/journal/tg/2019/05/08643846/17PYEjJvAVJ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2022/9617/0/961700a782", "title": "Auditory Feedback for Standing Balance Improvement in Virtual Reality", "doi": null, "abstractUrl": "/proceedings-article/vr/2022/961700a782/1CJc6WO5JBu", "parentPublication": { "id": "proceedings/vr/2022/9617/0", "title": "2022 IEEE on Conference Virtual Reality and 3D User Interfaces (VR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2022/9617/0/961700a719", "title": "Spatial Updating in Virtual Reality &#x2013; Auditory and Visual Cues in a Cave Automatic Virtual Environment", "doi": null, "abstractUrl": "/proceedings-article/vr/2022/961700a719/1CJch0MXduw", "parentPublication": { "id": "proceedings/vr/2022/9617/0", "title": "2022 IEEE on Conference Virtual Reality and 3D User Interfaces (VR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ismar/2020/8508/0/850800a639", "title": "Visual-Auditory Redirection: Multimodal Integration of Incongruent Visual and Auditory Cues for Redirected Walking", "doi": null, "abstractUrl": "/proceedings-article/ismar/2020/850800a639/1pysvxeFG4E", "parentPublication": { "id": "proceedings/ismar/2020/8508/0", "title": "2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "u2070", "articleId": "13rRUygBwbl", "__typename": "AdjacentArticleType" }, "next": { "fno": "u20c3", "articleId": "13rRUyYBljW", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNyq0zFs", "title": "September/October", "year": "2010", "issueNum": "05", "idPrefix": "cg", "pubType": "magazine", "volume": "30", "label": "September/October", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUx0xPOd", "doi": "10.1109/MCG.2010.64", "abstract": "User interfaces for video surveillance networks are traditionally based on arrays of video displays, maps, and indirect controls. To address such interfaces' usability limitations when the number of cameras increases, some video surveillance systems aim to improve context awareness. However, interactive spatial navigation is still difficult: unconstrained, free 3D control is too complex, and a predefined camera path limits flexibility. Especially for live tracking of complex events along cameras, operators must make navigation decisions quickly and accurately on the basis of the actual situation. The novel spatial-navigation interface described in this article facilitates such video surveillance tasks. Users directly navigate in the visible video via the mouse, which lets them maintain attention on the action instead of an external navigation interface. While users track the action with the mouse, interactive 3D widgets augmented in the video provide visual updates regarding available camera transitions. Optimized visual transitions between individual videos ensure context awareness while users focus on the action. Several surveillance datasets, along with results from a pilot user evaluation, demonstrate this interface's effectiveness.", "abstracts": [ { "abstractType": "Regular", "content": "User interfaces for video surveillance networks are traditionally based on arrays of video displays, maps, and indirect controls. To address such interfaces' usability limitations when the number of cameras increases, some video surveillance systems aim to improve context awareness. However, interactive spatial navigation is still difficult: unconstrained, free 3D control is too complex, and a predefined camera path limits flexibility. Especially for live tracking of complex events along cameras, operators must make navigation decisions quickly and accurately on the basis of the actual situation. The novel spatial-navigation interface described in this article facilitates such video surveillance tasks. Users directly navigate in the visible video via the mouse, which lets them maintain attention on the action instead of an external navigation interface. While users track the action with the mouse, interactive 3D widgets augmented in the video provide visual updates regarding available camera transitions. Optimized visual transitions between individual videos ensure context awareness while users focus on the action. Several surveillance datasets, along with results from a pilot user evaluation, demonstrate this interface's effectiveness.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "User interfaces for video surveillance networks are traditionally based on arrays of video displays, maps, and indirect controls. To address such interfaces' usability limitations when the number of cameras increases, some video surveillance systems aim to improve context awareness. However, interactive spatial navigation is still difficult: unconstrained, free 3D control is too complex, and a predefined camera path limits flexibility. Especially for live tracking of complex events along cameras, operators must make navigation decisions quickly and accurately on the basis of the actual situation. The novel spatial-navigation interface described in this article facilitates such video surveillance tasks. Users directly navigate in the visible video via the mouse, which lets them maintain attention on the action instead of an external navigation interface. While users track the action with the mouse, interactive 3D widgets augmented in the video provide visual updates regarding available camera transitions. Optimized visual transitions between individual videos ensure context awareness while users focus on the action. Several surveillance datasets, along with results from a pilot user evaluation, demonstrate this interface's effectiveness.", "title": "Spatial Navigation for Context-Aware Video Surveillance", "normalizedTitle": "Spatial Navigation for Context-Aware Video Surveillance", "fno": "mcg2010050020", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Navigation", "Video Surveillance", "Streaming Media", "Mice", "Feedback", "Computer Displays", "Digital Cameras", "User Interfaces", "Context Awareness", "Event Detection", "Video Displays", "Computer Graphics", "Graphics And Multimedia", "Video Surveillance", "Spatial Navigation", "Context Aware", "User Interfaces" ], "authors": [ { "givenName": "Gerwin", "surname": "de Haan", "fullName": "Gerwin de Haan", "affiliation": "Delft University of Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Huib", "surname": "Piguillet", "fullName": "Huib Piguillet", "affiliation": "Delft University of Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Frits", "surname": "Post", "fullName": "Frits Post", "affiliation": "Delft University of Technology", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2010-09-01 00:00:00", "pubType": "mags", "pages": "20-31", "year": "2010", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icpr/2006/2521/1/01699099", "title": "Automatic Acquisition of Context Models and its Application to Video Surveillance", "doi": null, "abstractUrl": "/proceedings-article/icpr/2006/01699099/12OmNApLGSK", "parentPublication": { "id": "proceedings/icpr/2006/2521/1", "title": "Pattern Recognition, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/3dui/2009/3965/0/04811214", "title": "Egocentric navigation for video surveillance in 3D Virtual Environments", "doi": null, "abstractUrl": "/proceedings-article/3dui/2009/04811214/12OmNBfZSln", "parentPublication": { "id": "proceedings/3dui/2009/3965/0", "title": "2009 IEEE Symposium on 3D User Interfaces", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/avss/2009/3718/0/3718a195", "title": "Clustered Synopsis of Surveillance Video", "doi": null, "abstractUrl": "/proceedings-article/avss/2009/3718a195/12OmNCzKlMi", "parentPublication": { "id": "proceedings/avss/2009/3718/0", "title": "2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/3pgcic/2015/9473/0/9473a578", "title": "A Distributed Framework for Event Detection in Video Surveillance Context", "doi": null, "abstractUrl": "/proceedings-article/3pgcic/2015/9473a578/12OmNvAiSBs", "parentPublication": { "id": "proceedings/3pgcic/2015/9473/0", "title": "2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icpr/2008/2174/0/04761616", "title": "Context aware privacy in visual surveillance", "doi": null, "abstractUrl": "/proceedings-article/icpr/2008/04761616/12OmNwDACq3", "parentPublication": { "id": "proceedings/icpr/2008/2174/0", "title": "ICPR 2008 19th International Conference on Pattern Recognition", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdt/2010/4071/0/4071a123", "title": "A Service Oriented Framework Architecture for Intelligent Video Surveillance Systems", "doi": null, "abstractUrl": "/proceedings-article/icdt/2010/4071a123/12OmNwE9OE2", "parentPublication": { "id": "proceedings/icdt/2010/4071/0", "title": "2010 Fifth International Conference on Digital Telecommunications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmew/2013/1604/0/06618440", "title": "Abnormal action warning on encrypted-coded surveillance video for home safety", "doi": null, "abstractUrl": "/proceedings-article/icmew/2013/06618440/12OmNxvwoUL", "parentPublication": { "id": "proceedings/icmew/2013/1604/0", "title": "2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2011/935/0/05742367", "title": "Context-aware volume navigation", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2011/05742367/12OmNzd7baR", "parentPublication": { "id": "proceedings/pacificvis/2011/935/0", "title": "2011 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/bd/2018/01/07949067", "title": "Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data", "doi": null, "abstractUrl": "/journal/bd/2018/01/07949067/13rRUxNmPI1", "parentPublication": { "id": "trans/bd", "title": "IEEE Transactions on Big Data", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/avss/2019/0990/0/08909833", "title": "Suggesting Gaze-based Selection for Surveillance Applications", "doi": null, "abstractUrl": "/proceedings-article/avss/2019/08909833/1febKC7pljG", "parentPublication": { "id": "proceedings/avss/2019/0990/0", "title": "2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2010050018", "articleId": "13rRUxCRFQg", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2010050032", "articleId": "13rRUEgariC", "__typename": 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{ "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": "13rRUxcsYLV", "doi": "10.1109/TVCG.2016.2598466", "abstract": "Data analysis involves constantly formulating and testing new hypotheses and questions about data. When dealing with a new dataset, especially one with many dimensions, it can be cumbersome for the analyst to clearly remember which aspects of the data have been investigated (i.e., visually examined for patterns, trends, outliers etc.) and which combinations have not. Yet this information is critical to help the analyst formulate new questions that they have not already answered. We observe that for tabular data, questions are typically comprised of varying combinations of data dimensions (e.g., what are the trends of Sales and Profit for different Regions?). We propose representing analysis history from the angle of dimension coverage (i.e., which data dimensions have been investigated and in which combinations). We use scented widgets [30] to incorporate dimension coverage of the analysts' past work into interaction widgets of a visualization tool. We demonstrate how this approach can assist analysts with the question formation process. Our approach extends the concept of scented widgets to reveal aspects of one's own analysis history, and offers a different perspective on one's past work than typical visualization history tools. Results of our empirical study showed that participants with access to embedded dimension coverage information relied on this information when formulating questions, asked more questions about the data, generated more top-level findings, and showed greater breadth of their analysis without sacrificing depth.", "abstracts": [ { "abstractType": "Regular", "content": "Data analysis involves constantly formulating and testing new hypotheses and questions about data. When dealing with a new dataset, especially one with many dimensions, it can be cumbersome for the analyst to clearly remember which aspects of the data have been investigated (i.e., visually examined for patterns, trends, outliers etc.) and which combinations have not. Yet this information is critical to help the analyst formulate new questions that they have not already answered. We observe that for tabular data, questions are typically comprised of varying combinations of data dimensions (e.g., what are the trends of Sales and Profit for different Regions?). We propose representing analysis history from the angle of dimension coverage (i.e., which data dimensions have been investigated and in which combinations). We use scented widgets [30] to incorporate dimension coverage of the analysts' past work into interaction widgets of a visualization tool. We demonstrate how this approach can assist analysts with the question formation process. Our approach extends the concept of scented widgets to reveal aspects of one's own analysis history, and offers a different perspective on one's past work than typical visualization history tools. Results of our empirical study showed that participants with access to embedded dimension coverage information relied on this information when formulating questions, asked more questions about the data, generated more top-level findings, and showed greater breadth of their analysis without sacrificing depth.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Data analysis involves constantly formulating and testing new hypotheses and questions about data. When dealing with a new dataset, especially one with many dimensions, it can be cumbersome for the analyst to clearly remember which aspects of the data have been investigated (i.e., visually examined for patterns, trends, outliers etc.) and which combinations have not. Yet this information is critical to help the analyst formulate new questions that they have not already answered. We observe that for tabular data, questions are typically comprised of varying combinations of data dimensions (e.g., what are the trends of Sales and Profit for different Regions?). We propose representing analysis history from the angle of dimension coverage (i.e., which data dimensions have been investigated and in which combinations). We use scented widgets [30] to incorporate dimension coverage of the analysts' past work into interaction widgets of a visualization tool. We demonstrate how this approach can assist analysts with the question formation process. Our approach extends the concept of scented widgets to reveal aspects of one's own analysis history, and offers a different perspective on one's past work than typical visualization history tools. Results of our empirical study showed that participants with access to embedded dimension coverage information relied on this information when formulating questions, asked more questions about the data, generated more top-level findings, and showed greater breadth of their analysis without sacrificing depth.", "title": "Visualizing Dimension Coverage to Support Exploratory Analysis", "normalizedTitle": "Visualizing Dimension Coverage to Support Exploratory Analysis", "fno": "07534787", "hasPdf": true, "idPrefix": "tg", "keywords": [ "History", "Data Visualization", "Visualization", "Data Analysis", "Navigation", "Prototypes", "Market Research", "Scented Widgets", "Dimension Coverage", "Tabular Data", "History", "Empirical Laboratory Study", "Exploratory Data Analysis" ], "authors": [ { "givenName": "Ali", "surname": "Sarvghad", "fullName": "Ali Sarvghad", "affiliation": "University of Victoria", "__typename": "ArticleAuthorType" }, { "givenName": "Melanie", "surname": "Tory", "fullName": "Melanie Tory", "affiliation": "Tableau Research", "__typename": "ArticleAuthorType" }, { "givenName": "Narges", "surname": "Mahyar", "fullName": "Narges Mahyar", "affiliation": "University of British Columbia", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2017-01-01 00:00:00", "pubType": "trans", "pages": "21-30", "year": "2017", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/vlhcc/2013/0369/0/06645254", "title": "Visualization of fine-grained code change history", "doi": null, "abstractUrl": "/proceedings-article/vlhcc/2013/06645254/12OmNCd2rV6", "parentPublication": { "id": "proceedings/vlhcc/2013/0369/0", "title": "2013 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icsm/1999/0016/0/00160099", "title": "Visualizing Software Release Histories: The Use of Color and Third Dimension", "doi": null, "abstractUrl": "/proceedings-article/icsm/1999/00160099/12OmNCwUmwU", "parentPublication": { "id": "proceedings/icsm/1999/0016/0", "title": "Proceedings IEEE International Conference on Software Maintenance - 1999 (ICSM'99). 'Software Maintenance for Business Change' (Cat. No.99CB36360)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icse/2015/1934/1/1934a212", "title": "Tempura: Temporal Dimension for IDEs", "doi": null, "abstractUrl": "/proceedings-article/icse/2015/1934a212/12OmNvqmUGm", "parentPublication": { "id": "proceedings/icse/2015/1934/2", "title": "2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vast/2014/6227/0/07042526", "title": "Exploiting history to reduce interaction costs in collaborative analysis", "doi": null, "abstractUrl": "/proceedings-article/vast/2014/07042526/12OmNykkB8O", "parentPublication": { "id": "proceedings/vast/2014/6227/0", "title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1129", "title": "Scented Widgets: Improving Navigation Cues with Embedded Visualizations", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1129/13rRUEgarnG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122809", "title": "Visualizing Student Histories Using Clustering and Composition", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122809/13rRUwI5TXx", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vlhcc/2018/4235/0/08506517", "title": "An Exploratory Study of Web Foraging to Understand and Support Programming Decisions", "doi": null, "abstractUrl": "/proceedings-article/vlhcc/2018/08506517/17D45WnnFZ2", "parentPublication": { "id": "proceedings/vlhcc/2018/4235/0", "title": "2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vlhcc/2017/0443/0/08103490", "title": "Tools to support exploratory programming with data", "doi": null, "abstractUrl": "/proceedings-article/vlhcc/2017/08103490/17D45XvMccO", "parentPublication": { "id": "proceedings/vlhcc/2017/0443/0", "title": "2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vl-hcc/2022/4214/0/09833148", "title": "Making the Invisible Visible in Computational Notebooks", "doi": null, "abstractUrl": "/proceedings-article/vl-hcc/2022/09833148/1FUSKsroiEo", "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/2023/01/09911200", "title": "MEDLEY: Intent-based Recommendations to Support Dashboard Composition<sc/>", "doi": null, "abstractUrl": "/journal/tg/2023/01/09911200/1Hcjm0PMkgw", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07534822", "articleId": "13rRUygT7sI", "__typename": "AdjacentArticleType" }, "next": { "fno": "07534849", "articleId": "13rRUILLkDW", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNqG0SRW", "title": "November/December", "year": "2009", "issueNum": "06", "idPrefix": "cg", "pubType": "magazine", "volume": "29", "label": "November/December", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUyZaxsX", "doi": "10.1109/MCG.2009.125", "abstract": "Scientific-visualization tools can make time-varying simulations easier to understand. The growing efficiency of today's high-performance computers enables simulation of physical phenomena with a high temporal resolution. Consequently, visualization systems require efficient navigation in the temporal dimension. This 3D user interface employs direct-manipulation metaphors for temporal navigation in scientific visualizations. By interacting with objects using their 3D trajectory, users can navigate in time by specifying spatial inputs. This article is part of a special issue on 3D user interfaces.", "abstracts": [ { "abstractType": "Regular", "content": "Scientific-visualization tools can make time-varying simulations easier to understand. The growing efficiency of today's high-performance computers enables simulation of physical phenomena with a high temporal resolution. Consequently, visualization systems require efficient navigation in the temporal dimension. This 3D user interface employs direct-manipulation metaphors for temporal navigation in scientific visualizations. By interacting with objects using their 3D trajectory, users can navigate in time by specifying spatial inputs. This article is part of a special issue on 3D user interfaces.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Scientific-visualization tools can make time-varying simulations easier to understand. The growing efficiency of today's high-performance computers enables simulation of physical phenomena with a high temporal resolution. Consequently, visualization systems require efficient navigation in the temporal dimension. This 3D user interface employs direct-manipulation metaphors for temporal navigation in scientific visualizations. By interacting with objects using their 3D trajectory, users can navigate in time by specifying spatial inputs. This article is part of a special issue on 3D user interfaces.", "title": "Spatial Input for Temporal Navigation in Scientific Visualizations", "normalizedTitle": "Spatial Input for Temporal Navigation in Scientific Visualizations", "fno": "mcg2009060054", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Navigation", "Visualization", "Computational Modeling", "Physics Computing", "Computer Simulation", "Spatial Resolution", "User Interfaces", "Computer Graphics", "Temporal Navigation", "Scientific Visualization", "3 D User Interface", "Direct Manipulation" ], "authors": [ { "givenName": "Marc", "surname": "Wolter", "fullName": "Marc Wolter", "affiliation": "RWTH Aachen University", "__typename": "ArticleAuthorType" }, { "givenName": "Irene", "surname": "Tedjo-Palczynski", "fullName": "Irene Tedjo-Palczynski", "affiliation": "RWTH Aachen University", "__typename": "ArticleAuthorType" }, { "givenName": "Bernd", "surname": "Hentschel", "fullName": "Bernd Hentschel", "affiliation": "RWTH Aachen University", "__typename": "ArticleAuthorType" }, { "givenName": "Torsten", "surname": "Kuhlen", "fullName": "Torsten Kuhlen", "affiliation": "RWTH Aachen University", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2009-11-01 00:00:00", "pubType": "mags", "pages": "54-64", "year": "2009", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/3dui/2014/3624/0/06798869", "title": "Poster: Investigating viewpoint visualizations for click & go navigation", "doi": null, "abstractUrl": "/proceedings-article/3dui/2014/06798869/12OmNAWpyuN", "parentPublication": { "id": "proceedings/3dui/2014/3624/0", "title": "2014 IEEE Symposium on 3D User Interfaces (3DUI)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2008/1971/0/04480786", "title": "EEG-based navigation of immersing virtual environment using common spatial patterns", "doi": null, "abstractUrl": "/proceedings-article/vr/2008/04480786/12OmNAYXWLI", "parentPublication": { "id": "proceedings/vr/2008/1971/0", "title": "IEEE Virtual Reality 2008", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icig/2004/2244/0/01410491", "title": "Web visualization of geo-spatial data using SVG and VRML/X3D", "doi": null, "abstractUrl": "/proceedings-article/icig/2004/01410491/12OmNB9t6nn", "parentPublication": { "id": "proceedings/icig/2004/2244/0", "title": "Proceedings. Third International Conference on Image and Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dbta/2009/3604/0/3604a030", "title": "Effect of Navigation Aids and Landmarks on Acquisition of Spatial Knowledge in Virtual Environments", "doi": null, "abstractUrl": "/proceedings-article/dbta/2009/3604a030/12OmNBpmDFG", "parentPublication": { "id": "proceedings/dbta/2009/3604/0", "title": "2009 First International Workshop on Database Technology and Applications, DBTA", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/3dui/2009/3965/0/04811199", "title": "A direct manipulation interface for time navigation in scientific visualizations", "doi": null, "abstractUrl": "/proceedings-article/3dui/2009/04811199/12OmNqBtiXu", "parentPublication": { "id": "proceedings/3dui/2009/3965/0", "title": "2009 IEEE Symposium on 3D User Interfaces", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/tpcg/2003/1942/0/19420026", "title": "Guided navigation in task-oriented 3D graph visualizations", "doi": null, "abstractUrl": "/proceedings-article/tpcg/2003/19420026/12OmNx0A7M7", "parentPublication": { "id": "proceedings/tpcg/2003/1942/0", "title": "Theory and Practice of Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bdva/2015/7343/0/07314295", "title": "Hybrid-Dimensional Visualization and Interaction - Integrating 2D and 3D Visualization with Semi-Immersive Navigation Techniques", "doi": null, "abstractUrl": "/proceedings-article/bdva/2015/07314295/12OmNzBOi7E", "parentPublication": { "id": "proceedings/bdva/2015/7343/0", "title": "2015 Big Data Visual Analytics (BDVA)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2010/05/mcg2010050020", "title": "Spatial Navigation for Context-Aware Video Surveillance", "doi": null, "abstractUrl": "/magazine/cg/2010/05/mcg2010050020/13rRUx0xPOd", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/06/ttg2010061613", "title": "FI3D: Direct-Touch Interaction for the Exploration of 3D Scientific Visualization Spaces", "doi": null, "abstractUrl": "/journal/tg/2010/06/ttg2010061613/13rRUyv53Fk", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/percom-workshops/2021/0424/0/09430997", "title": "Considering Spatial Cognition of Blind Travelers in Utilizing Augmented Reality for Navigation", "doi": null, "abstractUrl": "/proceedings-article/percom-workshops/2021/09430997/1tROV9fTS7u", "parentPublication": { "id": "proceedings/percom-workshops/2021/0424/0", "title": "2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2009060044", "articleId": "13rRUxEhFv0", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2009060065", "articleId": "13rRUzp02ii", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNAoDigX", "title": "February", "year": "1994", "issueNum": "01", "idPrefix": "tk", "pubType": "journal", "volume": "6", "label": "February", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwInv4J", "doi": "10.1109/69.273029", "abstract": "Recently, attention has been focused on spatial databases, which combine conventional and spatially related data, such as geographic information systems, CAD/CAM, or VLSI. A language has been developed to query such spatial databases. It recognizes the significantly different requirements of spatial data handling and overcomes the inherent problems of the application of conventional database query languages. The spatial query language has been designed as a minimal extension to the interrogative part of SQL and distinguishes from previously designed SQL extensions by: the preservation of SQL concepts; the high-level treatment of spatial objects; and the incorporation of spatial operations and relationships. It consists of two components, a query language to describe what information to retrieve and a presentation language to specify how to display query results. Users can ask standard SQL queries to retrieve nonspatial data based on nonspatial constraints, use Spatial SQL commands to inquire about situations involving spatial data, and give instructions in the Graphical Presentation Language, GPL to manipulate or examine the graphical presentation.", "abstracts": [ { "abstractType": "Regular", "content": "Recently, attention has been focused on spatial databases, which combine conventional and spatially related data, such as geographic information systems, CAD/CAM, or VLSI. A language has been developed to query such spatial databases. It recognizes the significantly different requirements of spatial data handling and overcomes the inherent problems of the application of conventional database query languages. The spatial query language has been designed as a minimal extension to the interrogative part of SQL and distinguishes from previously designed SQL extensions by: the preservation of SQL concepts; the high-level treatment of spatial objects; and the incorporation of spatial operations and relationships. It consists of two components, a query language to describe what information to retrieve and a presentation language to specify how to display query results. Users can ask standard SQL queries to retrieve nonspatial data based on nonspatial constraints, use Spatial SQL commands to inquire about situations involving spatial data, and give instructions in the Graphical Presentation Language, GPL to manipulate or examine the graphical presentation.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Recently, attention has been focused on spatial databases, which combine conventional and spatially related data, such as geographic information systems, CAD/CAM, or VLSI. A language has been developed to query such spatial databases. It recognizes the significantly different requirements of spatial data handling and overcomes the inherent problems of the application of conventional database query languages. The spatial query language has been designed as a minimal extension to the interrogative part of SQL and distinguishes from previously designed SQL extensions by: the preservation of SQL concepts; the high-level treatment of spatial objects; and the incorporation of spatial operations and relationships. It consists of two components, a query language to describe what information to retrieve and a presentation language to specify how to display query results. Users can ask standard SQL queries to retrieve nonspatial data based on nonspatial constraints, use Spatial SQL commands to inquire about situations involving spatial data, and give instructions in the Graphical Presentation Language, GPL to manipulate or examine the graphical presentation.", "title": "Spatial SQL: A Query and Presentation Language", "normalizedTitle": "Spatial SQL: A Query and Presentation Language", "fno": "k0086", "hasPdf": true, "idPrefix": "tk", "keywords": [ "Query Languages Visual Databases Query Processing Spatial Data Structures Spatial SQL Query And Presentation Language Spatial Databases Spatially Related Data Spatial Data Handling Database Query Languages Spatial Query Language SQL Extensions High Level Treatment Spatial Objects Presentation Language Standard SQL Queries Nonspatial Data Graphical Presentation Language Graphical Presentation" ], "authors": [ { "givenName": "M.J.", "surname": "Egenhofer", "fullName": "M.J. Egenhofer", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": false, "isOpenAccess": false, "issueNum": "01", "pubDate": "1994-01-01 00:00:00", "pubType": "trans", "pages": "86-95", "year": "1994", "issn": "1041-4347", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [], "adjacentArticles": { "previous": { "fno": "k0079", "articleId": "13rRUxBa5ca", "__typename": "AdjacentArticleType" }, "next": { "fno": "k0096", "articleId": "13rRUx0gefw", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNwMXntP", "title": "October", "year": "2002", "issueNum": "10", "idPrefix": "tc", "pubType": "journal", "volume": "51", "label": "October", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxC0SDi", "doi": "10.1109/TC.2002.1039842", "abstract": "Abstract—Personal Number (PN) service or Follow-me service allows a user to access telecommunication services with any terminals (e.g., fixed telephones or mobile phones) in any locations within the service area. To provide this feature, the PN user needs to manually register with a phone number every time he/she enters a new location. If the user forgets to register the new phone number, the incoming calls will be misrouted. To provide user-friendly Follow-me service, this paper proposes an Automatic Follow-me Service (AFS) approach that automatically updates the PN records in the Follow-me database. The significance of our approach is that AFS can be integrated with existing Follow-me databases to automate PN services offered by different PSTN service providers. We show how AFS can be implemented by using the Voice over IP and Bluetooth technologies. Then, we propose an analytic model to investigate the performance of AFS. The analytic results are validated by simulation experiments. Our study suggests how to select polling frequency to optimize the AFS performance.", "abstracts": [ { "abstractType": "Regular", "content": "Abstract—Personal Number (PN) service or Follow-me service allows a user to access telecommunication services with any terminals (e.g., fixed telephones or mobile phones) in any locations within the service area. To provide this feature, the PN user needs to manually register with a phone number every time he/she enters a new location. If the user forgets to register the new phone number, the incoming calls will be misrouted. To provide user-friendly Follow-me service, this paper proposes an Automatic Follow-me Service (AFS) approach that automatically updates the PN records in the Follow-me database. The significance of our approach is that AFS can be integrated with existing Follow-me databases to automate PN services offered by different PSTN service providers. We show how AFS can be implemented by using the Voice over IP and Bluetooth technologies. Then, we propose an analytic model to investigate the performance of AFS. The analytic results are validated by simulation experiments. Our study suggests how to select polling frequency to optimize the AFS performance.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Abstract—Personal Number (PN) service or Follow-me service allows a user to access telecommunication services with any terminals (e.g., fixed telephones or mobile phones) in any locations within the service area. To provide this feature, the PN user needs to manually register with a phone number every time he/she enters a new location. If the user forgets to register the new phone number, the incoming calls will be misrouted. To provide user-friendly Follow-me service, this paper proposes an Automatic Follow-me Service (AFS) approach that automatically updates the PN records in the Follow-me database. The significance of our approach is that AFS can be integrated with existing Follow-me databases to automate PN services offered by different PSTN service providers. We show how AFS can be implemented by using the Voice over IP and Bluetooth technologies. Then, we propose an analytic model to investigate the performance of AFS. The analytic results are validated by simulation experiments. Our study suggests how to select polling frequency to optimize the AFS performance.", "title": "Implementing Automatic Location Update for Follow-Me Database Using VoIP and Bluetooth Technologies", "normalizedTitle": "Implementing Automatic Location Update for Follow-Me Database Using VoIP and Bluetooth Technologies", "fno": "t1154", "hasPdf": true, "idPrefix": "tc", "keywords": [ "Bluetooth", "Follow Me Database", "Location Update", "Personal Number", "Polling", "Voice Over IP" ], "authors": [ { "givenName": "Yi-Bing", "surname": "Lin", "fullName": "Yi-Bing Lin", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Hsu-Yung", "surname": "Cheng", "fullName": "Hsu-Yung Cheng", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Ya-Hsing", "surname": "Cheng", "fullName": "Ya-Hsing Cheng", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Prathima", "surname": "Agrawal", "fullName": "Prathima Agrawal", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": false, "isOpenAccess": false, "issueNum": "10", "pubDate": "2002-10-01 00:00:00", "pubType": "trans", "pages": "1154-1168", "year": "2002", "issn": "0018-9340", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [], "adjacentArticles": { "previous": { "fno": "t1141", "articleId": "13rRUxD9gWL", "__typename": "AdjacentArticleType" }, "next": { "fno": "t1169", "articleId": "13rRUxjyX32", "__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": "13rRUwI5TQQ", "doi": "10.1109/TVCG.2008.121", "abstract": "Even though information visualization (InfoVis) research has matured in recent years, it is generally acknowledged that the field still lacks supporting, encompassing theories. In this paper, we argue that the distributed cognition framework can be used to substantiate the theoretical foundation of InfoVis. We highlight fundamental assumptions and theoretical constructs of the distributed cognition approach, based on the cognitive science literature and a real life scenario. We then discuss how the distributed cognition framework can have an impact on the research directions and methodologies we take as InfoVis researchers. Our contributions are as follows. First, we highlight the view that cognition is more an emergent property of interaction than a property of the human mind. Second, we argue that a reductionist approach to study the abstract properties of isolated human minds may not be useful in informing InfoVis design. Finally we propose to make cognition an explicit research agenda, and discuss the implications on how we perform evaluation and theory building.", "abstracts": [ { "abstractType": "Regular", "content": "Even though information visualization (InfoVis) research has matured in recent years, it is generally acknowledged that the field still lacks supporting, encompassing theories. In this paper, we argue that the distributed cognition framework can be used to substantiate the theoretical foundation of InfoVis. We highlight fundamental assumptions and theoretical constructs of the distributed cognition approach, based on the cognitive science literature and a real life scenario. We then discuss how the distributed cognition framework can have an impact on the research directions and methodologies we take as InfoVis researchers. Our contributions are as follows. First, we highlight the view that cognition is more an emergent property of interaction than a property of the human mind. Second, we argue that a reductionist approach to study the abstract properties of isolated human minds may not be useful in informing InfoVis design. Finally we propose to make cognition an explicit research agenda, and discuss the implications on how we perform evaluation and theory building.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Even though information visualization (InfoVis) research has matured in recent years, it is generally acknowledged that the field still lacks supporting, encompassing theories. In this paper, we argue that the distributed cognition framework can be used to substantiate the theoretical foundation of InfoVis. We highlight fundamental assumptions and theoretical constructs of the distributed cognition approach, based on the cognitive science literature and a real life scenario. We then discuss how the distributed cognition framework can have an impact on the research directions and methodologies we take as InfoVis researchers. Our contributions are as follows. First, we highlight the view that cognition is more an emergent property of interaction than a property of the human mind. Second, we argue that a reductionist approach to study the abstract properties of isolated human minds may not be useful in informing InfoVis design. Finally we propose to make cognition an explicit research agenda, and discuss the implications on how we perform evaluation and theory building.", "title": "Distributed Cognition as a Theoretical Framework for Information Visualization", "normalizedTitle": "Distributed Cognition as a Theoretical Framework for Information Visualization", "fno": "ttg2008061173", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Index Terms Information Visualization", "Distributed Cognition", "Interaction", "Representation", "Theory And Methods" ], "authors": [ { "givenName": "Zhicheng", "surname": "Liu", "fullName": "Zhicheng Liu", "affiliation": "Georgia Institute of Technology", "__typename": "ArticleAuthorType" }, { "givenName": "Nancy", "surname": "Nersessian", "fullName": "Nancy Nersessian", "affiliation": "Georgia Institute of Technology", "__typename": "ArticleAuthorType" }, { "givenName": "John", "surname": "Stasko", "fullName": "John Stasko", "affiliation": "Georgia Institute of Technology", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2008-11-01 00:00:00", "pubType": "trans", "pages": "1173-1180", "year": "2008", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/cedem/2016/1042/0/07781926", "title": "Supporting Cognition in the Face of Political Data and Discourse: A Mental Models Perspective on Designing Information Visualization Systems", "doi": null, "abstractUrl": "/proceedings-article/cedem/2016/07781926/12OmNALlcht", "parentPublication": { "id": "proceedings/cedem/2016/1042/0", "title": "2016 Conference for E-Democracy and Open Government (CeDEM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dsc/2018/4210/0/421001a754", "title": "Generation Framework for Situation Visualization Service from the Perspective of Cognition", "doi": null, "abstractUrl": "/proceedings-article/dsc/2018/421001a754/12OmNAtstaQ", "parentPublication": { "id": "proceedings/dsc/2018/4210/0", "title": "2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdcsw/2004/2087/1/208710262", "title": "A Cognition Assessment Authoring System for E-Learning", "doi": null, "abstractUrl": "/proceedings-article/icdcsw/2004/208710262/12OmNwHz00m", "parentPublication": { "id": "proceedings/icdcsw/2004/2087/1", "title": "24th International Conference on Distributed Computing Systems Workshops, 2004. Proceedings.", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hicss/2012/4525/0/4525a932", "title": "Distributed Cognition in Geriatric Telepsychiatry", "doi": null, "abstractUrl": "/proceedings-article/hicss/2012/4525a932/12OmNwp74we", "parentPublication": { "id": "proceedings/hicss/2012/4525/0", "title": "2012 45th Hawaii International Conference on System Sciences", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cimca/2005/2504/2/250420600", "title": "Patterns of Design Cognition in Back Propagation Neural Networks", "doi": null, "abstractUrl": "/proceedings-article/cimca/2005/250420600/12OmNxWcHdp", "parentPublication": { "id": "proceedings/cimca/2005/2504/1", "title": "Computational Intelligence for Modelling, Control and Automation, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/pc/2014/03/mpc2014030080", "title": "Cognition-Aware Computing", "doi": null, "abstractUrl": "/magazine/pc/2014/03/mpc2014030080/13rRUwInvpq", "parentPublication": { "id": "mags/pc", "title": "IEEE Pervasive Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122689", "title": "Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122689/13rRUwInvsO", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1145", "title": "Casual Information Visualization: Depictions of Data in Everyday Life", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1145/13rRUwgQpqG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2008/06/ttg2008061149", "title": "A Framework of Interaction Costs in Information Visualization", "doi": null, "abstractUrl": "/journal/tg/2008/06/ttg2008061149/13rRUxAASSX", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "letters/lc/2020/01/08949495", "title": "Introducing Hilbert Space and Quantum Cognition to Cyber Security Risk Management", "doi": null, "abstractUrl": "/journal/lc/2020/01/08949495/1h0rdNgWrw4", "parentPublication": { "id": "letters/lc", "title": "IEEE Letters of the Computer Society", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2008061165", "articleId": "13rRUxBrGgQ", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2008061181", "articleId": "13rRUxBJhvp", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNxGAL8W", "title": "July/August", "year": "2009", "issueNum": "04", "idPrefix": "cg", "pubType": "magazine", "volume": "29", "label": "July/August", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxN5evF", "doi": "10.1109/MCG.2009.70", "abstract": "Guiding principles behind casual information visualization (InfoVis) design appear torn between maintaining current visualization best practices and focusing on user motivation to get \"eyes on the screen\" through any means necessary. This article focuses on pragmatic casual information visualization (PCIV)—that is, systems for data analysis and exploration in which users are not guided by formal task descriptions or financial incentives. This subarea is easier to examine using empirical evaluation. To explore PCIV's balance between fun and functionality, however, requires new or less common empirical methods. After all, how important is task efficiency if people are using the system to procrastinate? PCIV has clear research commonalities with traditional InfoVis, but performance metrics alone do not adequately address research questions in this new context. Several suggestions provide an initial step in defining and refining PCIV research approaches.", "abstracts": [ { "abstractType": "Regular", "content": "Guiding principles behind casual information visualization (InfoVis) design appear torn between maintaining current visualization best practices and focusing on user motivation to get \"eyes on the screen\" through any means necessary. This article focuses on pragmatic casual information visualization (PCIV)—that is, systems for data analysis and exploration in which users are not guided by formal task descriptions or financial incentives. This subarea is easier to examine using empirical evaluation. To explore PCIV's balance between fun and functionality, however, requires new or less common empirical methods. After all, how important is task efficiency if people are using the system to procrastinate? PCIV has clear research commonalities with traditional InfoVis, but performance metrics alone do not adequately address research questions in this new context. Several suggestions provide an initial step in defining and refining PCIV research approaches.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Guiding principles behind casual information visualization (InfoVis) design appear torn between maintaining current visualization best practices and focusing on user motivation to get \"eyes on the screen\" through any means necessary. This article focuses on pragmatic casual information visualization (PCIV)—that is, systems for data analysis and exploration in which users are not guided by formal task descriptions or financial incentives. This subarea is easier to examine using empirical evaluation. To explore PCIV's balance between fun and functionality, however, requires new or less common empirical methods. After all, how important is task efficiency if people are using the system to procrastinate? PCIV has clear research commonalities with traditional InfoVis, but performance metrics alone do not adequately address research questions in this new context. Several suggestions provide an initial step in defining and refining PCIV research approaches.", "title": "Motivation and Procrastination: Methods for Evaluating Pragmatic Casual Information Visualizations", "normalizedTitle": "Motivation and Procrastination: Methods for Evaluating Pragmatic Casual Information Visualizations", "fno": "mcg2009040086", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Information Visualization", "Casual Info Vis", "Empirical Evaluation", "Qualitative Methods", "Quantitative Design" ], "authors": [ { "givenName": "David W.", "surname": "Sprague", "fullName": "David W. Sprague", "affiliation": "University of Victoria", "__typename": "ArticleAuthorType" }, { "givenName": "Melanie", "surname": "Tory", "fullName": "Melanie Tory", "affiliation": "University of Victoria", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "04", "pubDate": "2009-07-01 00:00:00", "pubType": "mags", "pages": "86-91", "year": "2009", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/metrics/1997/8093/0/80930144", "title": "A Case Study Of Evaluating Configuration Management Practices With Goal-Oriented Measurement", "doi": null, "abstractUrl": "/proceedings-article/metrics/1997/80930144/12OmNASILFY", "parentPublication": { "id": "proceedings/metrics/1997/8093/0", "title": "Software Metrics, IEEE International Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iciw/2010/4022/0/4022a073", "title": "Casual Multi-user Web Collaboration by Lowering Communication Barriers", "doi": null, "abstractUrl": "/proceedings-article/iciw/2010/4022a073/12OmNBlofS6", "parentPublication": { "id": "proceedings/iciw/2010/4022/0", "title": "Internet and Web Applications and Services, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hicss/2012/4525/0/4525b824", "title": "The Role of Social Interaction Filter and Visualization in Casual Browsing", "doi": null, "abstractUrl": "/proceedings-article/hicss/2012/4525b824/12OmNqBtj94", "parentPublication": { "id": "proceedings/hicss/2012/4525/0", "title": "2012 45th Hawaii International Conference on System Sciences", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2011/12/ttg2011122479", "title": "Evaluation of Artery Visualizations for Heart Disease Diagnosis", "doi": null, "abstractUrl": "/journal/tg/2011/12/ttg2011122479/13rRUIIVlkd", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122421", "title": "Does an Eye Tracker Tell the Truth about Visualizations?: Findings while Investigating Visualizations for Decision Making", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122421/13rRUILLkDN", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1145", "title": "Casual Information Visualization: Depictions of Data in Everyday Life", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1145/13rRUwgQpqG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2008/06/ttg2008061309", "title": "Evaluating the Use of Data Transformation for Information Visualization", "doi": null, "abstractUrl": "/journal/tg/2008/06/ttg2008061309/13rRUwwJWFJ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cds/2021/0428/0/042800a372", "title": "Analyzing User Behavior Patterns in Casual Games Using Time Series Clustering", "doi": null, "abstractUrl": "/proceedings-article/cds/2021/042800a372/1uZxzLaFpIY", "parentPublication": { "id": "proceedings/cds/2021/0428/0", "title": "2021 2nd International Conference on Computing and Data Science (CDS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2009040081", "articleId": "13rRUzp02qq", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2009040092", "articleId": "13rRUNvya3s", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNBhpS2I", "title": "Nov.-Dec.", "year": "2018", "issueNum": "06", "idPrefix": "cg", "pubType": "magazine", "volume": "38", "label": "Nov.-Dec.", "downloadables": { "hasCover": true, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "17D45Xbl4Oc", "doi": "10.1109/MCG.2018.2879066", "abstract": "Graphoto is a framework that automatically generates a photo or adjusts an existing one to match a line graph. Since aesthetics is an important element in visualizing personal data, Graphoto provides users with aesthetically pleasing displays for casual line graph information visualization. More specifically, after creating a line graph of the input data, a photo that resembles the input data on the line graph is selected from a photo archive. If a selected photo does not match the line graph, we deform the photo to match the line graph. Once the photo matches the line graph of the data, the line graph is superimposed on the photo using different colors and styles depending on the user's artistic preferences. Additional embellishments are integrated into Graphoto, such as tick marks and text labels. We further present a user study to show the effectiveness of Graphoto in terms of data interpretation and aesthetics.", "abstracts": [ { "abstractType": "Regular", "content": "Graphoto is a framework that automatically generates a photo or adjusts an existing one to match a line graph. Since aesthetics is an important element in visualizing personal data, Graphoto provides users with aesthetically pleasing displays for casual line graph information visualization. More specifically, after creating a line graph of the input data, a photo that resembles the input data on the line graph is selected from a photo archive. If a selected photo does not match the line graph, we deform the photo to match the line graph. Once the photo matches the line graph of the data, the line graph is superimposed on the photo using different colors and styles depending on the user's artistic preferences. Additional embellishments are integrated into Graphoto, such as tick marks and text labels. We further present a user study to show the effectiveness of Graphoto in terms of data interpretation and aesthetics.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Graphoto is a framework that automatically generates a photo or adjusts an existing one to match a line graph. Since aesthetics is an important element in visualizing personal data, Graphoto provides users with aesthetically pleasing displays for casual line graph information visualization. More specifically, after creating a line graph of the input data, a photo that resembles the input data on the line graph is selected from a photo archive. If a selected photo does not match the line graph, we deform the photo to match the line graph. Once the photo matches the line graph of the data, the line graph is superimposed on the photo using different colors and styles depending on the user's artistic preferences. Additional embellishments are integrated into Graphoto, such as tick marks and text labels. We further present a user study to show the effectiveness of Graphoto in terms of data interpretation and aesthetics.", "title": "Graphoto: Aesthetically Pleasing Charts for Casual Information Visualization", "normalizedTitle": "Graphoto: Aesthetically Pleasing Charts for Casual Information Visualization", "fno": "08617746", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Charts", "Data Visualisation", "Graph Theory", "Aesthetically Pleasing Charts", "Line Graph", "Data Interpretation", "Casual Line Graph Information Visualization", "Graphoto", "Data Visualization", "Image Edge Detection", "Visualization", "Image Retrieval", "Image Color Analysis", "Pipelines", "Time Series Analysis" ], "authors": [ { "givenName": "Ji Hwan", "surname": "Park", "fullName": "Ji Hwan Park", "affiliation": "Stony Brook University", "__typename": "ArticleAuthorType" }, { "givenName": "Arie", "surname": "Kaufman", "fullName": "Arie Kaufman", "affiliation": "Stony Brook University", "__typename": "ArticleAuthorType" }, { "givenName": "Klaus", "surname": "Mueller", "fullName": "Klaus Mueller", "affiliation": "Stony Brook University", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2018-11-01 00:00:00", "pubType": "mags", "pages": "67-82", "year": "2018", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2007/2900/0/29000087", "title": "Towards a Model of Information Aesthetics in Information Visualization", "doi": null, "abstractUrl": "/proceedings-article/iv/2007/29000087/12OmNAoDhQU", "parentPublication": { "id": "proceedings/iv/2007/2900/0", "title": "2007 11th International Conference Information Visualization (IV '07)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2017/1032/0/1032d534", "title": "Aesthetic Critiques Generation for Photos", "doi": null, "abstractUrl": "/proceedings-article/iccv/2017/1032d534/12OmNBCHMKo", "parentPublication": { "id": "proceedings/iccv/2017/1032/0", "title": "2017 IEEE International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icpr/2012/2216/0/06460596", "title": "Assessment of photo aesthetics with efficiency", "doi": null, "abstractUrl": "/proceedings-article/icpr/2012/06460596/12OmNC4eSAr", "parentPublication": { "id": "proceedings/icpr/2012/2216/0", "title": "2012 21st International Conference on Pattern Recognition (ICPR 2012)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2018/1424/0/142401a116", "title": "Composite Visual Mapping for Time Series Visualization", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2018/142401a116/12OmNCmpcJW", "parentPublication": { "id": "proceedings/pacificvis/2018/1424/0", "title": "2018 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2009/3733/0/3733a579", "title": "Measuring Aesthetics for Information Visualization", "doi": null, "abstractUrl": "/proceedings-article/iv/2009/3733a579/12OmNxFJXDP", "parentPublication": { "id": "proceedings/iv/2009/3733/0", "title": "2009 13th International Conference Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122449", "title": "A User Study on Curved Edges in Graph Visualization", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122449/13rRUxASuhx", "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": "proceedings/icme/2022/8563/0/09859645", "title": "Series Photo Selection via Multi-View Graph Learning", "doi": null, "abstractUrl": "/proceedings-article/icme/2022/09859645/1G9DTtUgJnq", "parentPublication": { "id": "proceedings/icme/2022/8563/0", "title": "2022 IEEE International Conference on Multimedia and Expo (ICME)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bigmm/2019/5527/0/552700a252", "title": "Photo Filter Recommendation Through Analyzing Objects, Scenes and Aesthetics", "doi": null, "abstractUrl": "/proceedings-article/bigmm/2019/552700a252/1fHjJ38f1n2", "parentPublication": { "id": "proceedings/bigmm/2019/5527/0", "title": "2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wacv/2020/6553/0/09093412", "title": "Composition-Aware Image Aesthetics Assessment", "doi": null, "abstractUrl": "/proceedings-article/wacv/2020/09093412/1jPbiliRCmY", "parentPublication": { "id": "proceedings/wacv/2020/6553/0", "title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "08617734", "articleId": "17D45XDIXXb", "__typename": "AdjacentArticleType" }, "next": { "fno": "08617765", "articleId": "17D45Vw15tt", "__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": "13rRUxBa5bL", "doi": "10.1109/TVCG.2007.70618", "abstract": "Michotte's theory of ampliation suggests that causal relationships are perceived by objects animated under appropriate spatiotemporal conditions. We extend the theory of ampliation and propose that the immediate perception of complex causal relations is also dependent on a set of structural and temporal rules. We designed animated representations, based on Michotte's rules, for showing complex causal relationships or causal semantics. In this paper we describe a set of animations for showing semantics such as causal amplification, causal strength, causal dampening, and causal multiplicity. In a two part study we compared the effectiveness of both the static and animated representations. The first study (N=44) asked participants to recall passages that were previously displayed using both types of representations. Participants were 8% more accurate in recalling causal semantics when they were presented using animations instead of static graphs. In the second study (N=112) we evaluated the intuitiveness of the representations. Our results showed that while users were as accurate with the static graphs as with the animations, they were 9% faster in matching the correct causal statements in the animated condition. Overall our results show that animated diagrams that are designed based on perceptual rules such as those proposed by Michotte have the potential to facilitate comprehension of complex causal relations.", "abstracts": [ { "abstractType": "Regular", "content": "Michotte's theory of ampliation suggests that causal relationships are perceived by objects animated under appropriate spatiotemporal conditions. We extend the theory of ampliation and propose that the immediate perception of complex causal relations is also dependent on a set of structural and temporal rules. We designed animated representations, based on Michotte's rules, for showing complex causal relationships or causal semantics. In this paper we describe a set of animations for showing semantics such as causal amplification, causal strength, causal dampening, and causal multiplicity. In a two part study we compared the effectiveness of both the static and animated representations. The first study (N=44) asked participants to recall passages that were previously displayed using both types of representations. Participants were 8% more accurate in recalling causal semantics when they were presented using animations instead of static graphs. In the second study (N=112) we evaluated the intuitiveness of the representations. Our results showed that while users were as accurate with the static graphs as with the animations, they were 9% faster in matching the correct causal statements in the animated condition. Overall our results show that animated diagrams that are designed based on perceptual rules such as those proposed by Michotte have the potential to facilitate comprehension of complex causal relations.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Michotte's theory of ampliation suggests that causal relationships are perceived by objects animated under appropriate spatiotemporal conditions. We extend the theory of ampliation and propose that the immediate perception of complex causal relations is also dependent on a set of structural and temporal rules. We designed animated representations, based on Michotte's rules, for showing complex causal relationships or causal semantics. In this paper we describe a set of animations for showing semantics such as causal amplification, causal strength, causal dampening, and causal multiplicity. In a two part study we compared the effectiveness of both the static and animated representations. The first study (N=44) asked participants to recall passages that were previously displayed using both types of representations. Participants were 8% more accurate in recalling causal semantics when they were presented using animations instead of static graphs. In the second study (N=112) we evaluated the intuitiveness of the representations. Our results showed that while users were as accurate with the static graphs as with the animations, they were 9% faster in matching the correct causal statements in the animated condition. Overall our results show that animated diagrams that are designed based on perceptual rules such as those proposed by Michotte have the potential to facilitate comprehension of complex causal relations.", "title": "Visualizing Causal Semantics Using Animations", "normalizedTitle": "Visualizing Causal Semantics Using Animations", "fno": "v1254", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Causality", "Visualization", "Semantics", "Animated Graphs", "Perception", "Visualizing Cause And Effect", "Graph Semantics" ], "authors": [ { "givenName": "Nivedita", "surname": "Kadaba", "fullName": "Nivedita Kadaba", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Pourang", "surname": "Irani", "fullName": "Pourang Irani", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Jason", "surname": "Leboe", "fullName": "Jason Leboe", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1254-1261", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/fie/2006/0256/0/04117238", "title": "Work In Progress: Developing Tablet PC Animations for Computer Science Courses", "doi": null, "abstractUrl": "/proceedings-article/fie/2006/04117238/12OmNAoUTeZ", "parentPublication": { "id": "proceedings/fie/2006/0256/0", "title": "Proceedings. Frontiers in Education. 36th Annual Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/das/2012/4661/0/4661a140", "title": "Similar Fragment Retrieval of Animations by a Bag-of-Features Approach", "doi": null, "abstractUrl": "/proceedings-article/das/2012/4661a140/12OmNBoNrqy", "parentPublication": { "id": "proceedings/das/2012/4661/0", "title": "Document Analysis Systems, IAPR International Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/micai/2009/3933/0/3933a067", "title": "Towards a Causal Framework for Intelligent Agents Development", "doi": null, "abstractUrl": "/proceedings-article/micai/2009/3933a067/12OmNqGiu0q", "parentPublication": { "id": "proceedings/micai/2009/3933/0", "title": "2009 Eighth Mexican International Conference on Artificial Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdm/2011/4408/0/4408a814", "title": "Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series", "doi": null, "abstractUrl": "/proceedings-article/icdm/2011/4408a814/12OmNrEL2BT", "parentPublication": { "id": "proceedings/icdm/2011/4408/0", "title": "2011 IEEE 11th International Conference on Data Mining", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdm/2012/4905/0/4905a309", "title": "Discovery of Causal Rules Using Partial Association", "doi": null, "abstractUrl": "/proceedings-article/icdm/2012/4905a309/12OmNynJMUW", "parentPublication": { "id": "proceedings/icdm/2012/4905/0", "title": "2012 IEEE 12th International Conference on Data Mining", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2018/3365/0/08446364", "title": "Empirical Evaluation of Virtual Human Conversational and Affective Animations on Visual Attention in Inter-Personal Simulations", "doi": null, "abstractUrl": "/proceedings-article/vr/2018/08446364/13bd1hyoTxR", "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/2007/06/04376148", "title": "Visualizing Causal Semantics Using Animations", "doi": null, "abstractUrl": "/journal/tg/2007/06/04376148/13rRUxNW1Zf", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/lt/2010/02/tlt2010020139", "title": "Layered Architecture for Automatic Generation of Conflictive Animations in Programming Education", "doi": null, "abstractUrl": "/journal/lt/2010/02/tlt2010020139/13rRUynpT9H", "parentPublication": { "id": "trans/lt", "title": "IEEE Transactions on Learning Technologies", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/5555/01/09736612", "title": "Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation", "doi": null, "abstractUrl": "/journal/tk/5555/01/09736612/1BN1N0nHJPq", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2022/6946/0/694600a264", "title": "Do learned representations respect causal relationships?", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2022/694600a264/1H1ltXxyoy4", "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": "v1248", "articleId": "13rRUwwJWFH", "__typename": "AdjacentArticleType" }, "next": { "fno": "v1262", "articleId": "13rRUx0gezO", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNxA3Z0s", "title": "April-June", "year": "2010", "issueNum": "02", "idPrefix": "lt", "pubType": "journal", "volume": "3", "label": "April-June", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUynpT9H", "doi": "10.1109/TLT.2009.36", "abstract": "Fundamental concepts of programming and data structures are usually taught with graphical tools such as simulations and animations. Conflictive animations have been proposed to improve students' understanding of programming concepts. In conflictive animations, errors are introduced in the animations to motivate students to constantly check their knowledge against what is being animated. We have implemented a framework in an animation tool that allows the automatic generation of conflictive animations of statements, expressions, and other programming constructs. The automatic generation is challenging due to the alternative paths execution can take and their side effects. The architecture of the tool consists of several layers that can alter the normal interpretation or visualization of the program. The framework and the tool have been evaluated by creating conflictive animations of two programming concepts—for-loops and inheritance—and by running a set of 27 examples taken from Java textbooks. Of these, over two thirds (19) required no modification or only minor changes to create the conflictive animations. The reasons that the remaining examples did not generate conflictive animations automatically were divided between the layered architecture used and the example program itself.", "abstracts": [ { "abstractType": "Regular", "content": "Fundamental concepts of programming and data structures are usually taught with graphical tools such as simulations and animations. Conflictive animations have been proposed to improve students' understanding of programming concepts. In conflictive animations, errors are introduced in the animations to motivate students to constantly check their knowledge against what is being animated. We have implemented a framework in an animation tool that allows the automatic generation of conflictive animations of statements, expressions, and other programming constructs. The automatic generation is challenging due to the alternative paths execution can take and their side effects. The architecture of the tool consists of several layers that can alter the normal interpretation or visualization of the program. The framework and the tool have been evaluated by creating conflictive animations of two programming concepts—for-loops and inheritance—and by running a set of 27 examples taken from Java textbooks. Of these, over two thirds (19) required no modification or only minor changes to create the conflictive animations. The reasons that the remaining examples did not generate conflictive animations automatically were divided between the layered architecture used and the example program itself.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Fundamental concepts of programming and data structures are usually taught with graphical tools such as simulations and animations. Conflictive animations have been proposed to improve students' understanding of programming concepts. In conflictive animations, errors are introduced in the animations to motivate students to constantly check their knowledge against what is being animated. We have implemented a framework in an animation tool that allows the automatic generation of conflictive animations of statements, expressions, and other programming constructs. The automatic generation is challenging due to the alternative paths execution can take and their side effects. The architecture of the tool consists of several layers that can alter the normal interpretation or visualization of the program. The framework and the tool have been evaluated by creating conflictive animations of two programming concepts—for-loops and inheritance—and by running a set of 27 examples taken from Java textbooks. Of these, over two thirds (19) required no modification or only minor changes to create the conflictive animations. The reasons that the remaining examples did not generate conflictive animations automatically were divided between the layered architecture used and the example program itself.", "title": "Layered Architecture for Automatic Generation of Conflictive Animations in Programming Education", "normalizedTitle": "Layered Architecture for Automatic Generation of Conflictive Animations in Programming Education", "fno": "tlt2010020139", "hasPdf": true, "idPrefix": "lt", "keywords": [ "CS 1", "Animation", "Programming Education", "Conflictive Animation", "Object Oriented Programming", "Java", "Errors" ], "authors": [ { "givenName": "Andrés", "surname": "Moreno", "fullName": "Andrés Moreno", "affiliation": "University of Joensuu, Joensuu", "__typename": "ArticleAuthorType" }, { "givenName": "Mike", "surname": "Joy", "fullName": "Mike Joy", "affiliation": "University of Warwick, Coventry", "__typename": "ArticleAuthorType" }, { "givenName": "Niko", "surname": "Myller", "fullName": "Niko Myller", "affiliation": "University of Joensuu, Joensuu", "__typename": "ArticleAuthorType" }, { "givenName": "Erkki", "surname": "Sutinen", "fullName": "Erkki Sutinen", "affiliation": "University of Joensuu, Joensuu", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": false, "showRecommendedArticles": true, "isOpenAccess": true, "issueNum": "02", "pubDate": "2010-04-01 00:00:00", "pubType": "trans", "pages": "139-151", "year": "2010", "issn": "1939-1382", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/fie/2000/6424/2/00896643", "title": "Automatic generation of algorithm animations in a programming environment", "doi": null, "abstractUrl": "/proceedings-article/fie/2000/00896643/12OmNARAn9L", "parentPublication": { "id": "proceedings/fie/2000/6424/2", "title": "30th Annual Frontiers in Education Conference. Building on A Century of Progress in Engineering Education. Conference Proceedings (IEEE Cat. No.00CH37135)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vissoft/2016/3850/0/3850a036", "title": "Jsvee & Kelmu: Creating and Tailoring Program Animations for Computing Education", "doi": null, "abstractUrl": "/proceedings-article/vissoft/2016/3850a036/12OmNAtK4lX", "parentPublication": { "id": "proceedings/vissoft/2016/3850/0", "title": "2016 IEEE Working Conference on Software Visualization (VISSOFT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vl/1993/3970/0/00269574", "title": "The GraphVBT interface for programming algorithm animations", "doi": null, "abstractUrl": "/proceedings-article/vl/1993/00269574/12OmNqJHFIo", "parentPublication": { "id": "proceedings/vl/1993/3970/0", "title": "Proceedings 1993 IEEE Symposium on Visual Languages", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/fie/2015/8454/0/07344152", "title": "Enhancing object-oriented programming education using static and dynamic visualization", "doi": null, "abstractUrl": "/proceedings-article/fie/2015/07344152/12OmNvA1hbh", "parentPublication": { "id": "proceedings/fie/2015/8454/0", "title": "2015 IEEE Frontiers in Education Conference (FIE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/sigra/1997/8102/0/00625146", "title": "Building interactive animations using VRML and Java", "doi": null, "abstractUrl": "/proceedings-article/sigra/1997/00625146/12OmNvT2pb7", "parentPublication": { "id": "proceedings/sigra/1997/8102/0", "title": "Proceedings X Brazilian Symposium on Computer Graphics and Image Processing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/snpd/2012/2120/0/06299372", "title": "Grouping Beginner's Programming Ability for Animation Creation Using Cluster Analysis", "doi": null, "abstractUrl": "/proceedings-article/snpd/2012/06299372/12OmNvk7JQX", "parentPublication": { "id": "proceedings/snpd/2012/2120/0", "title": "2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD 2012)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vl/1993/3970/0/00269575", "title": "A Turbo environment for producing algorithm animations", "doi": null, "abstractUrl": "/proceedings-article/vl/1993/00269575/12OmNvqW6Ut", "parentPublication": { "id": "proceedings/vl/1993/3970/0", "title": "Proceedings 1993 IEEE Symposium on Visual Languages", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/chase/2016/4155/0/4155a058", "title": "An Empirical Study of Programming Paradigms for Animation", "doi": null, "abstractUrl": "/proceedings-article/chase/2016/4155a058/12OmNwBjP6H", "parentPublication": { "id": "proceedings/chase/2016/4155/0", "title": "2016 IEEE/ACM Cooperative and Human Aspects of Software Engineering (CHASE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/snpd/2007/2909/2/290920774", "title": "Analysis of Source Codes Created by Beginners in Programming Education", "doi": null, "abstractUrl": "/proceedings-article/snpd/2007/290920774/12OmNxG1ySd", "parentPublication": { "id": "proceedings/snpd/2007/2909/2", "title": "Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/fie/2019/1746/0/09028529", "title": "New web-based learning content for core programming concepts using Coral", "doi": null, "abstractUrl": "/proceedings-article/fie/2019/09028529/1iff7MaPu9i", "parentPublication": { "id": "proceedings/fie/2019/1746/0", "title": "2019 IEEE Frontiers in Education Conference (FIE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "tlt2010020129", "articleId": "13rRUwvT9d6", "__typename": "AdjacentArticleType" }, "next": { "fno": "tlt2010020152", "articleId": "13rRUytWFdK", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNwCsdFw", "title": "PrePrints", "year": "5555", "issueNum": "01", "idPrefix": "tk", "pubType": "journal", "volume": null, "label": "PrePrints", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1BN1N0nHJPq", "doi": "10.1109/TKDE.2022.3159802", "abstract": "Traditional recommendation models trained on observational interaction data have generated large impacts in a wide range of applications, it faces bias problems that cover users true intent and thus deteriorate the recommendation effectiveness. Existing methods tracks this problem as eliminating bias for the robust recommendation, e.g., by re-weighting training samples or learning disentangled representation. The disentangled representation methods as the state-of-the-art eliminate bias through revealing cause-effect of the bias generation. However, how to design the semantics-aware and unbiased representation for users true intents is largely unexplored. To bridge the gap, we are the first to propose an unbiased and semantics-aware disentanglement learning called CaDSI (Causal Disentanglement for Semantics-Aware Intent Learning) from a causal perspective. Particularly, CaDSI explicitly models the causal relations underlying recommendation task, and thus produces semantics-aware representations via disentangling users true intents aware of specific item context. Moreover, the causal intervention mechanism is designed to eliminate confounding bias stemmed from context information, which further to align the semantics-aware representation with users true intent. Extensive experiments and case studies both validate the robustness and interpretability of our proposed model.", "abstracts": [ { "abstractType": "Regular", "content": "Traditional recommendation models trained on observational interaction data have generated large impacts in a wide range of applications, it faces bias problems that cover users true intent and thus deteriorate the recommendation effectiveness. Existing methods tracks this problem as eliminating bias for the robust recommendation, e.g., by re-weighting training samples or learning disentangled representation. The disentangled representation methods as the state-of-the-art eliminate bias through revealing cause-effect of the bias generation. However, how to design the semantics-aware and unbiased representation for users true intents is largely unexplored. To bridge the gap, we are the first to propose an unbiased and semantics-aware disentanglement learning called CaDSI (Causal Disentanglement for Semantics-Aware Intent Learning) from a causal perspective. Particularly, CaDSI explicitly models the causal relations underlying recommendation task, and thus produces semantics-aware representations via disentangling users true intents aware of specific item context. Moreover, the causal intervention mechanism is designed to eliminate confounding bias stemmed from context information, which further to align the semantics-aware representation with users true intent. Extensive experiments and case studies both validate the robustness and interpretability of our proposed model.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Traditional recommendation models trained on observational interaction data have generated large impacts in a wide range of applications, it faces bias problems that cover users true intent and thus deteriorate the recommendation effectiveness. Existing methods tracks this problem as eliminating bias for the robust recommendation, e.g., by re-weighting training samples or learning disentangled representation. The disentangled representation methods as the state-of-the-art eliminate bias through revealing cause-effect of the bias generation. However, how to design the semantics-aware and unbiased representation for users true intents is largely unexplored. To bridge the gap, we are the first to propose an unbiased and semantics-aware disentanglement learning called CaDSI (Causal Disentanglement for Semantics-Aware Intent Learning) from a causal perspective. Particularly, CaDSI explicitly models the causal relations underlying recommendation task, and thus produces semantics-aware representations via disentangling users true intents aware of specific item context. Moreover, the causal intervention mechanism is designed to eliminate confounding bias stemmed from context information, which further to align the semantics-aware representation with users true intent. Extensive experiments and case studies both validate the robustness and interpretability of our proposed model.", "title": "Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation", "normalizedTitle": "Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation", "fno": "09736612", "hasPdf": true, "idPrefix": "tk", "keywords": [ "Motion Pictures", "Semantics", "Predictive Models", "Correlation", "Task Analysis", "Australia", "Data Models", "Causal Disentanglement Learning", "Semantic Aware Representation", "Causal Intervention" ], "authors": [ { "givenName": "Xiangmeng", "surname": "Wang", "fullName": "Xiangmeng Wang", "affiliation": "Faculty of Engineering and Technology, University of Technology Sydney, 1994 Sydney, New South Wales, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Qian", "surname": "Li", "fullName": "Qian Li", "affiliation": "School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, 1649 Perth, Western Australia, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Dianer", "surname": "Yu", "fullName": "Dianer Yu", "affiliation": "Faculty of Engineering and IT, University of Technology Sydney, 1994 Sydney, New South Wales, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Peng", "surname": "Cui", "fullName": "Peng Cui", "affiliation": "Department of Computer Science, Tsinghua University, Beijing, Beijing, China", "__typename": "ArticleAuthorType" }, { "givenName": "Zhichao", "surname": "Wang", "fullName": "Zhichao Wang", "affiliation": "School of Electrical Engineering and Telecommunications, University of New South Wales, 7800 Sydney, New South Wales, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Guandong", "surname": "Xu", "fullName": "Guandong Xu", "affiliation": "Faculty of Engineering and IT, University of Technology Sydney, 1994 Broadway, New South Wales, Australia", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2022-03-01 00:00:00", "pubType": "trans", "pages": "1-1", "year": "5555", "issn": "1041-4347", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icdmw/2015/8493/0/8493b235", "title": "Cross-Domain Recommendation via Tag Matrix Transfer", "doi": null, "abstractUrl": "/proceedings-article/icdmw/2015/8493b235/12OmNwp74B7", "parentPublication": { "id": "proceedings/icdmw/2015/8493/0", "title": "2015 IEEE International Conference on Data Mining Workshop (ICDMW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icmla/2016/6167/0/07838259", "title": "Preference Aware Recommendation Based on Categorical Information", "doi": null, "abstractUrl": "/proceedings-article/icmla/2016/07838259/12OmNzDehf4", "parentPublication": { "id": "proceedings/icmla/2016/6167/0", "title": "2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1254", "title": "Visualizing Causal Semantics Using Animations", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1254/13rRUxBa5bL", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/04376148", "title": "Visualizing Causal Semantics Using Animations", "doi": null, "abstractUrl": "/journal/tg/2007/06/04376148/13rRUxNW1Zf", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2020/03/08523627", "title": "Dynamic Connection-Based Social Group Recommendation", "doi": null, "abstractUrl": "/journal/tk/2020/03/08523627/17D45WIXbPc", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/jcdl/2022/9345/0/09852944", "title": "Causal Factorization Machine for Robust Recommendation", "doi": null, "abstractUrl": "/proceedings-article/jcdl/2022/09852944/1FT2nzZxTck", "parentPublication": { "id": "proceedings/jcdl/2022/9345/0", "title": "2022 ACM/IEEE Joint Conference on Digital Libraries (JCDL)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/5555/01/09996555", "title": "Causal Inference for Knowledge Graph based Recommendation", "doi": null, "abstractUrl": "/journal/tk/5555/01/09996555/1Jju3tDSfkc", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ispa-bdcloud-socialcom-sustaincom/2022/6497/0/649700a790", "title": "Knowledge Graph-based Intent Network-Enhanced Web Services Recommendation", "doi": null, "abstractUrl": "/proceedings-article/ispa-bdcloud-socialcom-sustaincom/2022/649700a790/1LKwstXlKww", "parentPublication": { "id": "proceedings/ispa-bdcloud-socialcom-sustaincom/2022/6497/0", "title": "2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/big-data/2019/0858/0/09005951", "title": "Quantifying the Effects of Recommendation Systems", "doi": null, "abstractUrl": "/proceedings-article/big-data/2019/09005951/1hJrYftyPAs", "parentPublication": { "id": "proceedings/big-data/2019/0858/0", "title": "2019 IEEE International Conference on Big Data (Big Data)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/aiccsa/2020/8577/0/09316466", "title": "An Experimental Evaluation of Content-based Recommendation Systems: Can Linked Data and BERT Help?", "doi": null, "abstractUrl": "/proceedings-article/aiccsa/2020/09316466/1qmfDo4G33a", "parentPublication": { "id": "proceedings/aiccsa/2020/8577/0", "title": "2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09729991", "articleId": "1BzPMCMnefu", "__typename": "AdjacentArticleType" }, "next": { "fno": "09737003", "articleId": "1BN1NassR7q", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "1BVBKjF45AA", "name": "ttk555501-09736612s1-supp1-3159802.pdf", "location": 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{ "issue": { "id": "12OmNwCsdFw", "title": "PrePrints", "year": "5555", "issueNum": "01", "idPrefix": "tk", "pubType": "journal", "volume": null, "label": "PrePrints", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1Jju3tDSfkc", "doi": "10.1109/TKDE.2022.3231352", "abstract": "Knowledge Graph (KG), as a side-information, tends to be utilized to supplement the collaborative filtering (CF) based recommendation model. By mapping items with the entities in KGs, prior studies mostly extract the knowledge information from the KGs and inject it into the representations of users and items. Despite their remarkable performance, they fail to model the user preference on attribute in the KG, since they ignore that (1) the structure information of KG may hinder the user preference learning, and (2) the user&#x0027;s interacted attributes will result in the bias issue on the similarity scores. With the help of causality tools, we construct the causal-effect relation between the variables in KG-based recommendation and identify the reasons causing the mentioned challenges. Accordingly, we develop a new framework, termed Knowledge Graph-based Causal Recommendation (KGCR), which implements the deconfounded user preference learning and adopts counterfactual inference to eliminate bias in the similarity scoring. Ultimately, we evaluate our proposed model on three datasets, including Amazon-book, LastFM, and Yelp2018 datasets. By conducting extensive experiments on the datasets, we demonstrate that KGCR outperforms several state-of-the-art baselines, such as KGNN-LS [1], KGAT [2] and KGIN [3]. We release our codes in the public domain: <uri>https://github.com/weiyinwei/KGCR</uri>.", "abstracts": [ { "abstractType": "Regular", "content": "Knowledge Graph (KG), as a side-information, tends to be utilized to supplement the collaborative filtering (CF) based recommendation model. By mapping items with the entities in KGs, prior studies mostly extract the knowledge information from the KGs and inject it into the representations of users and items. Despite their remarkable performance, they fail to model the user preference on attribute in the KG, since they ignore that (1) the structure information of KG may hinder the user preference learning, and (2) the user&#x0027;s interacted attributes will result in the bias issue on the similarity scores. With the help of causality tools, we construct the causal-effect relation between the variables in KG-based recommendation and identify the reasons causing the mentioned challenges. Accordingly, we develop a new framework, termed Knowledge Graph-based Causal Recommendation (KGCR), which implements the deconfounded user preference learning and adopts counterfactual inference to eliminate bias in the similarity scoring. Ultimately, we evaluate our proposed model on three datasets, including Amazon-book, LastFM, and Yelp2018 datasets. By conducting extensive experiments on the datasets, we demonstrate that KGCR outperforms several state-of-the-art baselines, such as KGNN-LS [1], KGAT [2] and KGIN [3]. We release our codes in the public domain: <uri>https://github.com/weiyinwei/KGCR</uri>.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Knowledge Graph (KG), as a side-information, tends to be utilized to supplement the collaborative filtering (CF) based recommendation model. By mapping items with the entities in KGs, prior studies mostly extract the knowledge information from the KGs and inject it into the representations of users and items. Despite their remarkable performance, they fail to model the user preference on attribute in the KG, since they ignore that (1) the structure information of KG may hinder the user preference learning, and (2) the user's interacted attributes will result in the bias issue on the similarity scores. With the help of causality tools, we construct the causal-effect relation between the variables in KG-based recommendation and identify the reasons causing the mentioned challenges. Accordingly, we develop a new framework, termed Knowledge Graph-based Causal Recommendation (KGCR), which implements the deconfounded user preference learning and adopts counterfactual inference to eliminate bias in the similarity scoring. Ultimately, we evaluate our proposed model on three datasets, including Amazon-book, LastFM, and Yelp2018 datasets. By conducting extensive experiments on the datasets, we demonstrate that KGCR outperforms several state-of-the-art baselines, such as KGNN-LS [1], KGAT [2] and KGIN [3]. We release our codes in the public domain: https://github.com/weiyinwei/KGCR.", "title": "Causal Inference for Knowledge Graph based Recommendation", "normalizedTitle": "Causal Inference for Knowledge Graph based Recommendation", "fno": "09996555", "hasPdf": true, "idPrefix": "tk", "keywords": [ "Motion Pictures", "Predictive Models", "Computational Modeling", "Collaborative Filtering", "Training", "Task Analysis", "Tail", "Recommender System", "Knowledge Graph", "Causal Inference", "Counterfactual Inference" ], "authors": [ { "givenName": "Yinwei", "surname": "Wei", "fullName": "Yinwei Wei", "affiliation": "School of Computing, National University of Singapore, Singapore", "__typename": "ArticleAuthorType" }, { "givenName": "Xiang", "surname": "Wang", "fullName": "Xiang Wang", "affiliation": "School of Information Science and Technology, University of Science and Technology of China, China", "__typename": "ArticleAuthorType" }, { "givenName": "Liqiang", "surname": "Nie", "fullName": "Liqiang Nie", "affiliation": "Shandong University, China", "__typename": "ArticleAuthorType" }, { "givenName": "Shaoyu", "surname": "Li", "fullName": "Shaoyu Li", "affiliation": "Shandong University, China", "__typename": "ArticleAuthorType" }, { "givenName": "Dingxian", "surname": "Wang", "fullName": "Dingxian Wang", "affiliation": "Ranking team, Search Science Department, eBay Inc, China", "__typename": "ArticleAuthorType" }, { "givenName": "Tat-Seng", "surname": "Chua", "fullName": "Tat-Seng Chua", "affiliation": "School of Computing, National University of Singapore, Singapore", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2022-12-01 00:00:00", "pubType": "trans", "pages": "1-12", "year": "5555", "issn": "1041-4347", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": 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"abstractUrl": "/proceedings-article/icde/2022/088300a299/1FwFkE7yzvi", "parentPublication": { "id": "proceedings/icde/2022/0883/0", "title": "2022 IEEE 38th International Conference on Data Engineering (ICDE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/big-data/2022/8045/0/10020850", "title": "MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System", "doi": null, "abstractUrl": "/proceedings-article/big-data/2022/10020850/1KfRUjUqjVm", "parentPublication": { "id": "proceedings/big-data/2022/8045/0", "title": "2022 IEEE International Conference on Big Data (Big Data)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/5555/01/10032820", "title": "Graph-based Non-Sampling for Knowledge Graph Enhanced Recommendation", "doi": null, "abstractUrl": "/journal/tk/5555/01/10032820/1KnSjBIHSHS", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icedme/2020/8145/0/09122085", "title": "Recurrent Knowledge Attention Network For Movie Recommendation", "doi": null, "abstractUrl": "/proceedings-article/icedme/2020/09122085/1kRSJf2b0fS", "parentPublication": { "id": "proceedings/icedme/2020/8145/0", "title": "2020 3rd International Conference on Electron Device and Mechanical Engineering (ICEDME)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ickg/2020/8156/0/09194457", "title": "Neural Collaborative Recommendation with Knowledge Graph", "doi": null, "abstractUrl": "/proceedings-article/ickg/2020/09194457/1n2nlSYRYsM", "parentPublication": { "id": "proceedings/ickg/2020/8156/0", "title": "2020 IEEE International Conference on Knowledge Graph (ICKG)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": 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Knowledge Graph and Self-Attention with Residual Block for Paper Recommendation", "doi": null, "abstractUrl": "/proceedings-article/hpbd&is/2021/09658455/1zRFeCIsOpa", "parentPublication": { "id": "proceedings/hpbd&is/2021/1327/0", "title": "2021 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09996587", "articleId": "1Jju3ieeg3m", "__typename": "AdjacentArticleType" }, "next": { "fno": "09998125", "articleId": "1JlF0SpUfde", "__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": "13rRUxC0SWc", "doi": "10.1109/TVCG.2015.2467199", "abstract": "Comparing multiple variables to select those that effectively characterize complex entities is important in a wide variety of domains - geodemographics for example. Identifying variables that correlate is a common practice to remove redundancy, but correlation varies across space, with scale and over time, and the frequently used global statistics hide potentially important differentiating local variation. For more comprehensive and robust insights into multivariate relations, these local correlations need to be assessed through various means of defining locality. We explore the geography of this issue, and use novel interactive visualization to identify interdependencies in multivariate data sets to support geographically informed multivariate analysis. We offer terminology for considering scale and locality, visual techniques for establishing the effects of scale on correlation and a theoretical framework through which variation in geographic correlation with scale and locality are addressed explicitly. Prototype software demonstrates how these contributions act together. These techniques enable multiple variables and their geographic characteristics to be considered concurrently as we extend visual parameter space analysis (vPSA) to the spatial domain. We find variable correlations to be sensitive to scale and geography to varying degrees in the context of energy-based geodemographics. This sensitivity depends upon the calculation of locality as well as the geographical and statistical structure of the variable.", "abstracts": [ { "abstractType": "Regular", "content": "Comparing multiple variables to select those that effectively characterize complex entities is important in a wide variety of domains - geodemographics for example. Identifying variables that correlate is a common practice to remove redundancy, but correlation varies across space, with scale and over time, and the frequently used global statistics hide potentially important differentiating local variation. For more comprehensive and robust insights into multivariate relations, these local correlations need to be assessed through various means of defining locality. We explore the geography of this issue, and use novel interactive visualization to identify interdependencies in multivariate data sets to support geographically informed multivariate analysis. We offer terminology for considering scale and locality, visual techniques for establishing the effects of scale on correlation and a theoretical framework through which variation in geographic correlation with scale and locality are addressed explicitly. Prototype software demonstrates how these contributions act together. These techniques enable multiple variables and their geographic characteristics to be considered concurrently as we extend visual parameter space analysis (vPSA) to the spatial domain. We find variable correlations to be sensitive to scale and geography to varying degrees in the context of energy-based geodemographics. This sensitivity depends upon the calculation of locality as well as the geographical and statistical structure of the variable.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Comparing multiple variables to select those that effectively characterize complex entities is important in a wide variety of domains - geodemographics for example. Identifying variables that correlate is a common practice to remove redundancy, but correlation varies across space, with scale and over time, and the frequently used global statistics hide potentially important differentiating local variation. For more comprehensive and robust insights into multivariate relations, these local correlations need to be assessed through various means of defining locality. We explore the geography of this issue, and use novel interactive visualization to identify interdependencies in multivariate data sets to support geographically informed multivariate analysis. We offer terminology for considering scale and locality, visual techniques for establishing the effects of scale on correlation and a theoretical framework through which variation in geographic correlation with scale and locality are addressed explicitly. Prototype software demonstrates how these contributions act together. These techniques enable multiple variables and their geographic characteristics to be considered concurrently as we extend visual parameter space analysis (vPSA) to the spatial domain. We find variable correlations to be sensitive to scale and geography to varying degrees in the context of energy-based geodemographics. This sensitivity depends upon the calculation of locality as well as the geographical and statistical structure of the variable.", "title": "Visualizing Multiple Variables Across Scale and Geography", "normalizedTitle": "Visualizing Multiple Variables Across Scale and Geography", "fno": "07192660", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Correlation", "Geography", "Visualization", "Input Variables", "Context", "Prototypes", "Spatial Resolution", "Scale", "Geography", "Multivariate", "Sensitivity Analysis", "Variable Selection", "Local Statistics", "Geodemographics", "Energy", "Scale", "Geography", "Multivariate", "Sensitivity Analysis", "Variable Selection", "Local Statistics", "Geodemographics" ], "authors": [ { "givenName": "Sarah", "surname": "Goodwin", "fullName": "Sarah Goodwin", "affiliation": ", Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Jason", "surname": "Dykes", "fullName": "Jason Dykes", "affiliation": "the giCentre, City University London", "__typename": "ArticleAuthorType" }, { "givenName": "Aidan", "surname": "Slingsby", "fullName": "Aidan Slingsby", "affiliation": "the giCentre, City University London", "__typename": "ArticleAuthorType" }, { "givenName": "Cagatay", "surname": "Turkay", "fullName": "Cagatay Turkay", "affiliation": "the giCentre, City University London", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2016-01-01 00:00:00", "pubType": "trans", "pages": "599-608", "year": "2016", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/ismvl/2017/5496/0/07964984", "title": "Exploiting Many-Valued Variables in MaxSAT", "doi": null, "abstractUrl": "/proceedings-article/ismvl/2017/07964984/12OmNBNM9aB", "parentPublication": { "id": "proceedings/ismvl/2017/5496/0", "title": "2017 IEEE 47th International Symposium on Multiple-Valued Logic (ISMVL)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccad/2010/8194/0/05654270", "title": "Analysis of precision for scaling the intermediate variables in fixed-point arithmetic circuits", "doi": null, "abstractUrl": "/proceedings-article/iccad/2010/05654270/12OmNqNG3i0", "parentPublication": { "id": "proceedings/iccad/2010/8194/0", "title": "2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2010)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/visual/1992/2897/0/00235197", "title": "Automated design of virtual worlds for visualizing multivariate relations", "doi": null, "abstractUrl": "/proceedings-article/visual/1992/00235197/12OmNrMZpkl", "parentPublication": { "id": "proceedings/visual/1992/2897/0", "title": "Proceedings Visualization '92", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vast/2014/6227/0/07042515", "title": "Visualizing the effects of scale and geography in multivariate comparison", "doi": null, "abstractUrl": "/proceedings-article/vast/2014/07042515/12OmNvEhfZc", "parentPublication": { "id": "proceedings/vast/2014/6227/0", "title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iwcfta/2011/4560/0/4560a332", "title": "Selection of Reconstruction Variables and Parameters in the Phase Space Reconstruction on Genetic Algorithm", "doi": null, "abstractUrl": "/proceedings-article/iwcfta/2011/4560a332/12OmNy5R3He", "parentPublication": { "id": "proceedings/iwcfta/2011/4560/0", "title": "Chaos-Fractals Theories and Applications, International Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iscv/2017/4062/0/08054920", "title": "HVS-MRMR wrapper method for variables selection", "doi": null, "abstractUrl": "/proceedings-article/iscv/2017/08054920/12OmNyQpgSX", "parentPublication": { "id": "proceedings/iscv/2017/4062/0", "title": "2017 Intelligent Systems and Computer Vision (ISCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/digitel/2012/4663/0/4663a141", "title": "More than Learning Mathematics: The Impact of Mathematics Games on Learning in Geography and Community Education", "doi": null, "abstractUrl": "/proceedings-article/digitel/2012/4663a141/12OmNzBOhvY", "parentPublication": { "id": "proceedings/digitel/2012/4663/0", "title": "Digital Game and Intelligent Toy Enhanced Learning, IEEE International Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1161", "title": "Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1161/13rRUytF41u", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2022/9007/0/900700a432", "title": "Composition of Geospatial Visualizations for Scale-aware Views of Multiple Outcome Variables in Population Surveys", "doi": null, "abstractUrl": "/proceedings-article/iv/2022/900700a432/1KaFOtIedpe", "parentPublication": { "id": "proceedings/iv/2022/9007/0", "title": "2022 26th International Conference Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ismvl/2020/5406/0/540600a117", "title": "On the Minimization of Variables to Represent Partially Defined Classification Functions", "doi": null, "abstractUrl": "/proceedings-article/ismvl/2020/540600a117/1qci9G3qYUw", "parentPublication": { "id": "proceedings/ismvl/2020/5406/0", "title": "2020 IEEE 50th International Symposium on Multiple-Valued Logic (ISMVL)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07192696", "articleId": "13rRUwkxc5q", "__typename": "AdjacentArticleType" }, "next": { "fno": "07192684", "articleId": "13rRUNvgz9R", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "17ShDTXWROQ", "name": "ttg201601-07192660s1.zip", "location": "https://www.computer.org/csdl/api/v1/extra/ttg201601-07192660s1.zip", "extension": "zip", "size": "76.7 MB", "__typename": "WebExtraType" } ], "articleVideos": [] }
{ "issue": { "id": "12OmNz5apx1", "title": "Oct.", "year": "2010", "issueNum": "05", "idPrefix": "nt", "pubType": "journal", "volume": "18", "label": "Oct.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxASuPS", "doi": "10.1109/TNET.2010.2040087", "abstract": "While WiFi was initially designed as a local-area access network, mesh networking technologies have led to increasingly expansive deployments of WiFi networks. In urban environments, the WiFi mesh frequently supplements a number of existing access technologies, including wired broadband networks, 3G cellular, and commercial WiFi hotspots. It is an open question what role citywide WiFi deployments play in the increasingly diverse access network spectrum. We study the usage of the Google WiFi network deployed in Mountain View, CA, and find that usage naturally falls into three classes based almost entirely on client device type, which we divide into traditional laptop users, fixed-location access devices, and PDA-like smartphone devices. Moreover, each of these classes of use has significant geographic locality, following the distribution of residential, commercial, and transportation areas of the city. When comparing the network usage of each device class, we find a diverse set of mobility patterns that map well to the archetypal use cases for traditional access technologies. To help place our results in context, we also provide key performance measurements of the mesh backbone and, where possible, compare them to those of previously studied urban mesh networks.", "abstracts": [ { "abstractType": "Regular", "content": "While WiFi was initially designed as a local-area access network, mesh networking technologies have led to increasingly expansive deployments of WiFi networks. In urban environments, the WiFi mesh frequently supplements a number of existing access technologies, including wired broadband networks, 3G cellular, and commercial WiFi hotspots. It is an open question what role citywide WiFi deployments play in the increasingly diverse access network spectrum. We study the usage of the Google WiFi network deployed in Mountain View, CA, and find that usage naturally falls into three classes based almost entirely on client device type, which we divide into traditional laptop users, fixed-location access devices, and PDA-like smartphone devices. Moreover, each of these classes of use has significant geographic locality, following the distribution of residential, commercial, and transportation areas of the city. When comparing the network usage of each device class, we find a diverse set of mobility patterns that map well to the archetypal use cases for traditional access technologies. To help place our results in context, we also provide key performance measurements of the mesh backbone and, where possible, compare them to those of previously studied urban mesh networks.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "While WiFi was initially designed as a local-area access network, mesh networking technologies have led to increasingly expansive deployments of WiFi networks. In urban environments, the WiFi mesh frequently supplements a number of existing access technologies, including wired broadband networks, 3G cellular, and commercial WiFi hotspots. It is an open question what role citywide WiFi deployments play in the increasingly diverse access network spectrum. We study the usage of the Google WiFi network deployed in Mountain View, CA, and find that usage naturally falls into three classes based almost entirely on client device type, which we divide into traditional laptop users, fixed-location access devices, and PDA-like smartphone devices. Moreover, each of these classes of use has significant geographic locality, following the distribution of residential, commercial, and transportation areas of the city. When comparing the network usage of each device class, we find a diverse set of mobility patterns that map well to the archetypal use cases for traditional access technologies. To help place our results in context, we also provide key performance measurements of the mesh backbone and, where possible, compare them to those of previously studied urban mesh networks.", "title": "Usage Patterns in an Urban WiFi Network", "normalizedTitle": "Usage Patterns in an Urban WiFi Network", "fno": "05401061", "hasPdf": true, "idPrefix": "nt", "keywords": [ "Wireless LAN", "Wireless Mesh Networks", "Usage Patterns", "Urban Wi Fi Network", "Local Area Access Network", "Mesh Networking", "Diverse Access Network Spectrum", "Google", "Mobility Patterns", "Cities And Towns", "Mesh Networks", "Broadband Communication", "Cellular Networks", "Portable Computers", "Spine", "Wireless Mesh Networks", "Computer Science", "Transportation", "Measurement", "Mesh Networking", "Wi Fi" ], "authors": [ { "givenName": "Mikhail", "surname": "Afanasyev", "fullName": "Mikhail Afanasyev", "affiliation": "CSIRO, Brisbane, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Tsuwei", "surname": "Chen", "fullName": "Tsuwei Chen", "affiliation": "Google, Inc., Mountain View, CA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Geoffrey M.", "surname": "Voelker", "fullName": "Geoffrey M. Voelker", "affiliation": "Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Alex C.", "surname": "Snoeren", "fullName": "Alex C. Snoeren", "affiliation": "Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2010-09-01 00:00:00", "pubType": "trans", "pages": "1359-1372", "year": "2010", "issn": "1063-6692", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icoin/2015/8342/0/07057871", "title": "Development strategy of disaster-resistant WiFi mesh networks and the disaster monitoring and reporting system in a local area", "doi": null, "abstractUrl": "/proceedings-article/icoin/2015/07057871/12OmNBBhN7f", "parentPublication": { "id": "proceedings/icoin/2015/8342/0", "title": "2015 International Conference on Information Networking (ICOIN)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iscc/2009/4672/0/05202374", "title": "A WiFi-based wireless mesh network with inter-domain mobility management", "doi": null, "abstractUrl": "/proceedings-article/iscc/2009/05202374/12OmNBTawxG", "parentPublication": { "id": "proceedings/iscc/2009/4672/0", "title": "2009 IEEE Symposium on Computers and Communications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/aict/2007/2843/0/04215232", "title": "The Google Muni Wifi Network--Can it Compete with Cellular Voice?", "doi": null, "abstractUrl": "/proceedings-article/aict/2007/04215232/12OmNC0guzR", "parentPublication": { "id": "proceedings/aict/2007/2843/0", "title": "Advanced International Conference on Telecommunications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mesh/2009/3667/0/3667a001", "title": "Integration of WiFi and WiMAX-Mesh Networks", "doi": null, "abstractUrl": "/proceedings-article/mesh/2009/3667a001/12OmNqyDjtJ", "parentPublication": { "id": "proceedings/mesh/2009/3667/0", "title": "Advances in Mesh Networks, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/umedia/2014/4266/0/06916315", "title": "On the Usage of WiFi and LTE for the Smart Grid", "doi": null, "abstractUrl": "/proceedings-article/umedia/2014/06916315/12OmNzZ5oiU", "parentPublication": { "id": "proceedings/umedia/2014/4266/0", "title": "2014 7th International Conference on Ubi-Media Computing and Workshops (UMEDIA)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/fcst/2015/9295/0/9295a052", "title": "FC-WiFi: An OpenFlow Based WiFi Network with Free Configuration", "doi": null, "abstractUrl": "/proceedings-article/fcst/2015/9295a052/12OmNzahbXm", "parentPublication": { "id": "proceedings/fcst/2015/9295/0", "title": "2015 Ninth International Conference on Frontier of Computer Science and Technology (FCST)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bigmm/2017/6549/0/07966708", "title": "Mining Urban WiFi QoS Factors: A Data Driven Approach", "doi": null, "abstractUrl": "/proceedings-article/bigmm/2017/07966708/12OmNzd7bNa", "parentPublication": { "id": "proceedings/bigmm/2017/6549/0", "title": "2017 IEEE Third International Conference on Multimedia Big Data (BigMM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mownet/2017/4977/0/08045960", "title": "Opportunistic SDN-controlled wireless mesh network for mobile traffic offloading", "doi": null, "abstractUrl": "/proceedings-article/mownet/2017/08045960/12OmNzt0IIe", "parentPublication": { "id": "proceedings/mownet/2017/4977/0", "title": "2017 International Conference on Selected Topics in Mobile and Wireless Networking (MoWNeT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/aict/2010/4021/0/4021a390", "title": "Hybrid Wireless Mesh Network for Universal Access: Opportunities and Challenges", "doi": null, "abstractUrl": "/proceedings-article/aict/2010/4021a390/12OmNzxyiDY", "parentPublication": { "id": "proceedings/aict/2010/4021/0", "title": "Advanced International Conference on Telecommunications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/lcn/2021/1886/0/09525003", "title": "Towards Dense and Scalable Soil Sensing Through Low-Cost WiFi Sensing Networks", "doi": null, "abstractUrl": "/proceedings-article/lcn/2021/09525003/1wHISj6kTGo", "parentPublication": { "id": "proceedings/lcn/2021/1886/0", "title": "2021 IEEE 46th Conference on Local Computer Networks (LCN)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "05409510", "articleId": "13rRUxNEqSA", "__typename": "AdjacentArticleType" }, "next": { "fno": "05430963", "articleId": "13rRUwInv1q", "__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": "13rRUIJcWlt", "doi": "10.1109/TVCG.2017.2745140", "abstract": "Treemaps are a popular tool to visualize hierarchical data: items are represented by nested rectangles and the area of each rectangle corresponds to the data being visualized for this item. The visual quality of a treemap is commonly measured via the aspect ratio of the rectangles. If the data changes, then a second important quality criterion is the stability of the treemap: how much does the treemap change as the data changes. We present a novel stable treemapping algorithm that has very high visual quality. Whereas existing treemapping algorithms generally recompute the treemap every time the input changes, our algorithm changes the layout of the treemap using only local modifications. This approach not only gives us direct control over stability, but it also allows us to use a larger set of possible layouts, thus provably resulting in treemaps of higher visual quality compared to existing algorithms. We further prove that we can reach all possible treemap layouts using only our local modifications. Furthermore, we introduce a new measure for stability that better captures the relative positions of rectangles. We finally show via experiments on real-world data that our algorithm outperforms existing treemapping algorithms also in practice on either visual quality and/or stability. Our algorithm scores high on stability regardless of whether we use an existing stability measure or our new measure.", "abstracts": [ { "abstractType": "Regular", "content": "Treemaps are a popular tool to visualize hierarchical data: items are represented by nested rectangles and the area of each rectangle corresponds to the data being visualized for this item. The visual quality of a treemap is commonly measured via the aspect ratio of the rectangles. If the data changes, then a second important quality criterion is the stability of the treemap: how much does the treemap change as the data changes. We present a novel stable treemapping algorithm that has very high visual quality. Whereas existing treemapping algorithms generally recompute the treemap every time the input changes, our algorithm changes the layout of the treemap using only local modifications. This approach not only gives us direct control over stability, but it also allows us to use a larger set of possible layouts, thus provably resulting in treemaps of higher visual quality compared to existing algorithms. We further prove that we can reach all possible treemap layouts using only our local modifications. Furthermore, we introduce a new measure for stability that better captures the relative positions of rectangles. We finally show via experiments on real-world data that our algorithm outperforms existing treemapping algorithms also in practice on either visual quality and/or stability. Our algorithm scores high on stability regardless of whether we use an existing stability measure or our new measure.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Treemaps are a popular tool to visualize hierarchical data: items are represented by nested rectangles and the area of each rectangle corresponds to the data being visualized for this item. The visual quality of a treemap is commonly measured via the aspect ratio of the rectangles. If the data changes, then a second important quality criterion is the stability of the treemap: how much does the treemap change as the data changes. We present a novel stable treemapping algorithm that has very high visual quality. Whereas existing treemapping algorithms generally recompute the treemap every time the input changes, our algorithm changes the layout of the treemap using only local modifications. This approach not only gives us direct control over stability, but it also allows us to use a larger set of possible layouts, thus provably resulting in treemaps of higher visual quality compared to existing algorithms. We further prove that we can reach all possible treemap layouts using only our local modifications. Furthermore, we introduce a new measure for stability that better captures the relative positions of rectangles. We finally show via experiments on real-world data that our algorithm outperforms existing treemapping algorithms also in practice on either visual quality and/or stability. Our algorithm scores high on stability regardless of whether we use an existing stability measure or our new measure.", "title": "Stable Treemaps via Local Moves", "normalizedTitle": "Stable Treemaps via Local Moves", "fno": "08019841", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Layout", "Visualization", "Stability Criteria", "Space Exploration", "Position Measurement", "Binary Trees", "Treemap", "Stability", "Local Moves" ], "authors": [ { "givenName": "Max", "surname": "Sondag", "fullName": "Max Sondag", "affiliation": "TU Eindhoven", "__typename": "ArticleAuthorType" }, { "givenName": "Bettina", "surname": "Speckmann", "fullName": "Bettina Speckmann", "affiliation": "TU Eindhoven", "__typename": "ArticleAuthorType" }, { "givenName": "Kevin", "surname": "Verbeek", "fullName": "Kevin Verbeek", "affiliation": "TU Eindhoven", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2018-01-01 00:00:00", "pubType": "trans", "pages": "729-738", "year": "2018", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/infvis/2005/9464/0/01532128", "title": "Voronoi treemaps", "doi": null, "abstractUrl": "/proceedings-article/infvis/2005/01532128/12OmNCmGNWg", "parentPublication": { "id": "proceedings/infvis/2005/9464/0", "title": "IEEE Symposium on Information Visualization (InfoVis 05)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-infovis/2005/2790/0/01532128", "title": "Voronoi treemaps", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2005/01532128/12OmNqzu6VY", "parentPublication": { "id": "proceedings/ieee-infovis/2005/2790/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ivapp/2014/8132/0/07294396", "title": "Template-based treemaps to preserve spatial constraints", "doi": null, "abstractUrl": "/proceedings-article/ivapp/2014/07294396/12OmNwl8GEW", "parentPublication": { "id": "proceedings/ivapp/2014/8132/0", "title": "2014 International Conference on Information Visualization Theory and Applications (IVAPP)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-infovis/2001/1342/0/13420073", "title": "Ordered Treemap Layouts", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2001/13420073/12OmNySosIO", "parentPublication": { "id": "proceedings/ieee-infovis/2001/1342/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-infovis/2005/2790/0/27900007", "title": "Voronoi Treemaps", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2005/27900007/12OmNzSyCdf", "parentPublication": { "id": "proceedings/ieee-infovis/2005/2790/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/06/ttg2010060990", "title": "Perceptual Guidelines for Creating Rectangular Treemaps", "doi": null, "abstractUrl": "/journal/tg/2010/06/ttg2010060990/13rRUx0gezT", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1286", "title": "Visualizing Changes of Hierarchical Data using Treemaps", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1286/13rRUy0qnLA", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/01/ttg2013010141", "title": "Enhanced Spatial Stability with Hilbert and Moore Treemaps", "doi": null, "abstractUrl": "/journal/tg/2013/01/ttg2013010141/13rRUzphDxW", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09904436", "title": "SizePairs: Achieving Stable and Balanced Temporal Treemaps using Hierarchical Size-based Pairing", "doi": null, "abstractUrl": "/journal/tg/2023/01/09904436/1H1gs021YFa", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2020/5697/0/09086235", "title": "Uncertainty Treemaps", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2020/09086235/1kuHly3FEwU", "parentPublication": { "id": "proceedings/pacificvis/2020/5697/0", "title": "2020 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "08017613", "articleId": "13rRUyuvRoQ", "__typename": "AdjacentArticleType" }, "next": { "fno": "08017575", "articleId": "13rRUytWF9r", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "17ShDTXWRPR", "name": "ttg201801-08019841s1.zip", "location": "https://www.computer.org/csdl/api/v1/extra/ttg201801-08019841s1.zip", "extension": "zip", "size": "35.4 MB", "__typename": "WebExtraType" } ], "articleVideos": [] }
{ "issue": { "id": "12OmNAolH0Y", "title": "September/October", "year": "2008", "issueNum": "05", "idPrefix": "ic", "pubType": "magazine", "volume": "12", "label": "September/October", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxAStWN", "doi": "10.1109/MIC.2008.114", "abstract": "Web mashups are Web applications developed using contents and services available online. Despite rapidly increasing interest in mashups over the past two years, comprehensive development tools and frameworks are lacking, and in most cases mashing up a new application implies a significant manual programming effort. This article overviews current tools, frameworks, and trends that aim to facilitate mashup development. The authors use a set of characteristic dimensions to highlight the strengths and weaknesses of some representative approaches.", "abstracts": [ { "abstractType": "Regular", "content": "Web mashups are Web applications developed using contents and services available online. Despite rapidly increasing interest in mashups over the past two years, comprehensive development tools and frameworks are lacking, and in most cases mashing up a new application implies a significant manual programming effort. This article overviews current tools, frameworks, and trends that aim to facilitate mashup development. The authors use a set of characteristic dimensions to highlight the strengths and weaknesses of some representative approaches.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Web mashups are Web applications developed using contents and services available online. Despite rapidly increasing interest in mashups over the past two years, comprehensive development tools and frameworks are lacking, and in most cases mashing up a new application implies a significant manual programming effort. This article overviews current tools, frameworks, and trends that aim to facilitate mashup development. The authors use a set of characteristic dimensions to highlight the strengths and weaknesses of some representative approaches.", "title": "Understanding Mashup Development", "normalizedTitle": "Understanding Mashup Development", "fno": "mic2008050044", "hasPdf": true, "idPrefix": "ic", "keywords": [ "Mashups", "Service Mashups", "Application Integration", "Data Integration", "User Interface Integration", "Composition", "Component Based Development" ], "authors": [ { "givenName": "Jin", "surname": "Yu", "fullName": "Jin Yu", "affiliation": "University of New South Wales, Sydney", "__typename": "ArticleAuthorType" }, { "givenName": "Boualem", "surname": "Benatallah", "fullName": "Boualem Benatallah", "affiliation": "University of New South Wales, Sydney", "__typename": "ArticleAuthorType" }, { "givenName": "Fabio", "surname": "Casati", "fullName": "Fabio Casati", "affiliation": "University of Trento", "__typename": "ArticleAuthorType" }, { "givenName": "Florian", "surname": "Daniel", "fullName": "Florian Daniel", "affiliation": "University of Trento", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2008-09-01 00:00:00", "pubType": "mags", "pages": "44-52", "year": "2008", "issn": "1089-7801", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/aina/2011/4337/0/4337a467", "title": "Privacy-Preserving Data Mashup", "doi": null, "abstractUrl": "/proceedings-article/aina/2011/4337a467/12OmNAsBFIE", "parentPublication": { "id": "proceedings/aina/2011/4337/0", "title": "2011 IEEE International Conference on Advanced Information Networking and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/live/2013/6265/0/06617338", "title": "Live mashup tools: Challenges and opportunities", "doi": null, "abstractUrl": "/proceedings-article/live/2013/06617338/12OmNBO3Kk5", "parentPublication": { "id": "proceedings/live/2013/6265/0", "title": "2013 1st International Workshop on Live Programming (LIVE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icse/2012/1066/0/06227222", "title": "Assisting end-user development in browser-based mashup tools", "doi": null, "abstractUrl": "/proceedings-article/icse/2012/06227222/12OmNBbJTnT", "parentPublication": { "id": "proceedings/icse/2012/1066/0", "title": "2012 34th International Conference on Software Engineering (ICSE 2012)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/quatic/2012/4777/0/4777a010", "title": "Quality-Aware Mashup Composition: Issues, Techniques and Tools", "doi": null, "abstractUrl": "/proceedings-article/quatic/2012/4777a010/12OmNrJAdTS", "parentPublication": { "id": "proceedings/quatic/2012/4777/0", "title": "2012 Eighth International Conference on the Quality of Information and Communications Technology", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icws/2014/5054/0/5054a289", "title": "A Novel Approach for API Recommendation in Mashup Development", "doi": null, "abstractUrl": "/proceedings-article/icws/2014/5054a289/12OmNvwC5wx", "parentPublication": { "id": "proceedings/icws/2014/5054/0", "title": "2014 IEEE International Conference on Web Services (ICWS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icws/2008/3310/0/3310a337", "title": "Mashup Advisor: A Recommendation Tool for Mashup Development", "doi": null, "abstractUrl": "/proceedings-article/icws/2008/3310a337/12OmNx6g6oy", "parentPublication": { "id": "proceedings/icws/2008/3310/0", "title": "2008 IEEE International Conference on Web Services", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/sose/2014/3616/0/3616a173", "title": "Using Sequential Pattern Mining and Interactive Recommendation to Assist Pipe-like Mashup Development", "doi": null, "abstractUrl": "/proceedings-article/sose/2014/3616a173/12OmNyfdOXf", "parentPublication": { "id": "proceedings/sose/2014/3616/0", "title": "2014 IEEE 8th International Symposium on Service Oriented System Engineering (SOSE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/seaa/2012/4790/0/4790a439", "title": "Towards Mobile Multimedia Mashup Architecture", "doi": null, "abstractUrl": "/proceedings-article/seaa/2012/4790a439/12OmNyv7mhk", "parentPublication": { "id": "proceedings/seaa/2012/4790/0", "title": "2012 38th Euromicro Conference on Software Engineering and Advanced Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/sc/2020/01/07885122", "title": "Integrated Content and Network-Based Service Clustering and Web APIs Recommendation for Mashup Development", "doi": null, "abstractUrl": "/journal/sc/2020/01/07885122/13rRUwwaKqF", "parentPublication": { "id": "trans/sc", "title": "IEEE Transactions on Services Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/scc/2020/8789/0/878900a124", "title": "Integrated Topic Modeling and User Interaction Enhanced WebAPI Recommendation using Regularized Matrix Factorization for Mashup Application Development", "doi": null, "abstractUrl": "/proceedings-article/scc/2020/878900a124/1pttVLBuhz2", "parentPublication": { "id": "proceedings/scc/2020/8789/0", "title": "2020 IEEE International Conference on Services Computing (SCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mic2008050032", "articleId": "13rRUwbaqQ4", "__typename": "AdjacentArticleType" }, "next": { "fno": "mic2008050053", "articleId": "13rRUyYjK8z", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "1sBJLYWpL6U", "title": "March-April", "year": "2021", "issueNum": "02", "idPrefix": "sc", "pubType": "journal", "volume": "14", "label": "March-April", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUy0qnJf", "doi": "10.1109/TSC.2018.2805826", "abstract": "Tagging systems have been widely used as a major way of managing Web service resources. Many portals such as ProgrammableWeb and BioCatalogue allow users to create manual tags annotating Web services and their compositions (e.g., mashups). This is extremely helpful for managing and retrieving enormous Web service data. In the past few years, many tag recommendation approaches have been proposed for Web services that contain few or no tags. Most of them only exploit the textual content or tag service matrix information. Sometimes those approaches suffer from the data sparsity problem, especially when Web services have only few tags or their auxiliary textual contents are hard to be obtained. In real world, a plenty of relationships are available in recommendation systems, e.g., the composition relationship between services and the annotation relationship between mashups and tags. These multi-relational data can be utilized as additional features to improve the recommendation performance. In this paper, we exploit various types of relationships as features and propose a novel topic-sensitive approach based on the Factorization Machines for mashup tag recommendation. Factorization Machines is utilized to model the pair-wise interactions between all features and predict adequate tags for mashups. In this approach, we first obtain the latent topics of all tags as well as the description documents for mashups and APIs based on a novel probabilistic topic model. Then, a multi-relational network by mining various relationships from the Web service data is constructed. Various auxiliary informations are subsequently extracted from the network to train the Factorization Machines. The proposed model is evaluated on three real-world datasets and the experimental results show that it outperforms several state-of-the-art methods.", "abstracts": [ { "abstractType": "Regular", "content": "Tagging systems have been widely used as a major way of managing Web service resources. Many portals such as ProgrammableWeb and BioCatalogue allow users to create manual tags annotating Web services and their compositions (e.g., mashups). This is extremely helpful for managing and retrieving enormous Web service data. In the past few years, many tag recommendation approaches have been proposed for Web services that contain few or no tags. Most of them only exploit the textual content or tag service matrix information. Sometimes those approaches suffer from the data sparsity problem, especially when Web services have only few tags or their auxiliary textual contents are hard to be obtained. In real world, a plenty of relationships are available in recommendation systems, e.g., the composition relationship between services and the annotation relationship between mashups and tags. These multi-relational data can be utilized as additional features to improve the recommendation performance. In this paper, we exploit various types of relationships as features and propose a novel topic-sensitive approach based on the Factorization Machines for mashup tag recommendation. Factorization Machines is utilized to model the pair-wise interactions between all features and predict adequate tags for mashups. In this approach, we first obtain the latent topics of all tags as well as the description documents for mashups and APIs based on a novel probabilistic topic model. Then, a multi-relational network by mining various relationships from the Web service data is constructed. Various auxiliary informations are subsequently extracted from the network to train the Factorization Machines. The proposed model is evaluated on three real-world datasets and the experimental results show that it outperforms several state-of-the-art methods.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Tagging systems have been widely used as a major way of managing Web service resources. Many portals such as ProgrammableWeb and BioCatalogue allow users to create manual tags annotating Web services and their compositions (e.g., mashups). This is extremely helpful for managing and retrieving enormous Web service data. In the past few years, many tag recommendation approaches have been proposed for Web services that contain few or no tags. Most of them only exploit the textual content or tag service matrix information. Sometimes those approaches suffer from the data sparsity problem, especially when Web services have only few tags or their auxiliary textual contents are hard to be obtained. In real world, a plenty of relationships are available in recommendation systems, e.g., the composition relationship between services and the annotation relationship between mashups and tags. These multi-relational data can be utilized as additional features to improve the recommendation performance. In this paper, we exploit various types of relationships as features and propose a novel topic-sensitive approach based on the Factorization Machines for mashup tag recommendation. Factorization Machines is utilized to model the pair-wise interactions between all features and predict adequate tags for mashups. In this approach, we first obtain the latent topics of all tags as well as the description documents for mashups and APIs based on a novel probabilistic topic model. Then, a multi-relational network by mining various relationships from the Web service data is constructed. Various auxiliary informations are subsequently extracted from the network to train the Factorization Machines. The proposed model is evaluated on three real-world datasets and the experimental results show that it outperforms several state-of-the-art methods.", "title": "A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data", "normalizedTitle": "A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data", "fno": "08291009", "hasPdf": true, "idPrefix": "sc", "keywords": [ "Application Program Interfaces", "Data Mining", "Document Handling", "Internet", "Natural Language Processing", "Probability", "Query Processing", "Recommender Systems", "Web Services", "Topic Sensitive Method", "Mashup Tag Recommendation Utilizing Multirelational Service Data", "Multirelational Network", "Adequate Tags", "Factorization Machines", "Novel Topic Sensitive Approach", "Multirelational Data", "Annotation Relationship", "Composition Relationship", "Auxiliary Textual Contents", "Data Sparsity Problem", "Textual Content", "Tag Recommendation Approaches", "Enormous Web Service Data", "Mashups", "Web Services", "Manual Tags", "Managing Web Service Resources", "Tagging Systems", "Mashups", "Tagging", "Data Models", "Probabilistic Logic", "Computational Modeling", "Frequency Modulation", "Factorization Machines", "Probabilistic Topic Model", "Multi Relational Service Data", "Mashup", "Tag Recommendation" ], "authors": [ { "givenName": "Min", "surname": "Shi", "fullName": "Min Shi", "affiliation": "School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China", "__typename": "ArticleAuthorType" }, { "givenName": "Jianxun", "surname": "Liu", "fullName": "Jianxun Liu", "affiliation": "School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China", "__typename": "ArticleAuthorType" }, { "givenName": "Dong", "surname": "Zhou", "fullName": "Dong Zhou", "affiliation": "School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, China", "__typename": "ArticleAuthorType" }, { "givenName": "Yufei", "surname": "Tang", "fullName": "Yufei Tang", "affiliation": "Department of Computer & Electrical Engineering and Computer Science, Institute for Sensing and Embedded Network Systems Engineering, Florida Atlantic University, Boca Raton, FL", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2021-04-01 00:00:00", "pubType": "trans", "pages": "342-355", "year": "2021", "issn": "1939-1374", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/isdea/2014/4261/0/4261a718", "title": "Personalized Image Tag Recommendation Algorithm for Web2.0 Platform Utilizing Tensor Factorization", "doi": null, "abstractUrl": "/proceedings-article/isdea/2014/4261a718/12OmNAmE616", "parentPublication": { "id": "proceedings/isdea/2014/4261/0", "title": "2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icws/2015/7272/0/7272a217", "title": "Service Recommendation for Mashup Composition with Implicit Correlation Regularization", "doi": null, "abstractUrl": "/proceedings-article/icws/2015/7272a217/12OmNBO3JVm", "parentPublication": { "id": "proceedings/icws/2015/7272/0", "title": "2015 IEEE International Conference on Web Services (ICWS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icws/2016/2675/0/2675a444", "title": "A Probabilistic Topic Model for Mashup Tag Recommendation", "doi": null, "abstractUrl": "/proceedings-article/icws/2016/2675a444/12OmNBbsiee", "parentPublication": { "id": "proceedings/icws/2016/2675/0", "title": "2016 IEEE International Conference on Web Services (ICWS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/scc/2017/2005/0/2005a084", "title": "Integrating Tag, Topic, Co-Occurrence, and Popularity to Recommend Web APIs for Mashup Creation", "doi": null, "abstractUrl": "/proceedings-article/scc/2017/2005a084/12OmNqAU6wT", "parentPublication": { "id": "proceedings/scc/2017/2005/0", "title": "2017 IEEE International Conference on Services Computing (SCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icws/2016/2675/0/2675a436", "title": "Exploiting Heterogeneous Information for Tag Recommendation in API Management", "doi": null, "abstractUrl": "/proceedings-article/icws/2016/2675a436/12OmNwBT1jx", "parentPublication": { "id": "proceedings/icws/2016/2675/0", "title": "2016 IEEE International Conference on Web Services (ICWS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icws/2018/7247/0/724701a115", "title": "Factorization Machine Based Service Recommendation on Heterogeneous Information Networks", "doi": null, "abstractUrl": "/proceedings-article/icws/2018/724701a115/13rRUwbs1Xd", "parentPublication": { "id": "proceedings/icws/2018/7247/0", "title": "2018 IEEE International Conference on Web Services (ICWS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/scc/2020/8789/0/878900a475", "title": "desc2tag: A Reinforcement Learning Approach to Mashup Tag Recommendation", "doi": null, "abstractUrl": "/proceedings-article/scc/2020/878900a475/1pttVHYFYxW", "parentPublication": { "id": "proceedings/scc/2020/8789/0", "title": "2020 IEEE International Conference on Services Computing (SCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/scc/2020/8789/0/878900a124", "title": "Integrated Topic Modeling and User Interaction Enhanced WebAPI Recommendation using Regularized Matrix Factorization for Mashup Application Development", "doi": null, "abstractUrl": "/proceedings-article/scc/2020/878900a124/1pttVLBuhz2", "parentPublication": { "id": "proceedings/scc/2020/8789/0", "title": "2020 IEEE International Conference on Services Computing (SCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/scc/2020/8789/0/878900a092", "title": "A Knowledge Graph Approach to Mashup Tag Recommendation", "doi": null, "abstractUrl": "/proceedings-article/scc/2020/878900a092/1pttZQR5uFO", "parentPublication": { "id": "proceedings/scc/2020/8789/0", "title": "2020 IEEE International Conference on Services Computing (SCC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/smds/2021/0058/0/005800a008", "title": "Towards a Reinforcement Learning-based Exploratory Search for Mashup Tag Recommendation", "doi": null, "abstractUrl": "/proceedings-article/smds/2021/005800a008/1yeQwok4Hhm", "parentPublication": { "id": "proceedings/smds/2021/0058/0", "title": "2021 IEEE International Conference on Smart Data Services (SMDS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "08319947", "articleId": "13rRUILLkt1", "__typename": "AdjacentArticleType" }, "next": { "fno": "08322273", "articleId": "13rRUxN5eAO", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "1GF6jMpqNjy", "title": "Oct.", "year": "2022", "issueNum": "10", "idPrefix": "tp", "pubType": "journal", "volume": "44", "label": "Oct.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1uIRcsjHHz2", "doi": "10.1109/TPAMI.2021.3092573", "abstract": "Object attention maps generated by image classifiers are usually used as priors for weakly supervised semantic segmentation. However, attention maps usually locate the most discriminative object parts. The lack of integral object localization maps heavily limits the performance of weakly supervised segmentation approaches. This paper attempts to investigate a novel way to identify entire object regions in a weakly supervised manner. We observe that image classifiers&#x2019; attention maps at different training phases may focus on different parts of the target objects. Based on this observation, we propose an online attention accumulation (OAA) strategy that utilizes the attention maps at different training phases to obtain more integral object regions. Specifically, we maintain a cumulative attention map for each target category in each training image and utilize it to record the discovered object regions at different training phases. Albeit OAA can effectively mine more object regions for most images, for some training images, the range of the attention movement is not large, limiting the generation of integral object attention regions. To overcome this problem, we propose incorporating an attention drop layer into the online attention accumulation process to enlarge the range of attention movement during training explicitly. Our method (OAA) can be plugged into any classification network and progressively accumulate the discriminative regions into cumulative attention maps as the training process goes. Additionally, we also explore utilizing the final cumulative attention maps to serve as the pixel-level supervision, which can further assist the network in discovering more integral object regions. When applying the resulting attention maps to the weakly supervised semantic segmentation task, our approach improves the existing state-of-the-art methods on the PASCAL VOC 2012 segmentation benchmark, achieving a mIoU score of 67.2 percent on the test set.", "abstracts": [ { "abstractType": "Regular", "content": "Object attention maps generated by image classifiers are usually used as priors for weakly supervised semantic segmentation. However, attention maps usually locate the most discriminative object parts. The lack of integral object localization maps heavily limits the performance of weakly supervised segmentation approaches. This paper attempts to investigate a novel way to identify entire object regions in a weakly supervised manner. We observe that image classifiers&#x2019; attention maps at different training phases may focus on different parts of the target objects. Based on this observation, we propose an online attention accumulation (OAA) strategy that utilizes the attention maps at different training phases to obtain more integral object regions. Specifically, we maintain a cumulative attention map for each target category in each training image and utilize it to record the discovered object regions at different training phases. Albeit OAA can effectively mine more object regions for most images, for some training images, the range of the attention movement is not large, limiting the generation of integral object attention regions. To overcome this problem, we propose incorporating an attention drop layer into the online attention accumulation process to enlarge the range of attention movement during training explicitly. Our method (OAA) can be plugged into any classification network and progressively accumulate the discriminative regions into cumulative attention maps as the training process goes. Additionally, we also explore utilizing the final cumulative attention maps to serve as the pixel-level supervision, which can further assist the network in discovering more integral object regions. When applying the resulting attention maps to the weakly supervised semantic segmentation task, our approach improves the existing state-of-the-art methods on the PASCAL VOC 2012 segmentation benchmark, achieving a mIoU score of 67.2 percent on the test set.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Object attention maps generated by image classifiers are usually used as priors for weakly supervised semantic segmentation. However, attention maps usually locate the most discriminative object parts. The lack of integral object localization maps heavily limits the performance of weakly supervised segmentation approaches. This paper attempts to investigate a novel way to identify entire object regions in a weakly supervised manner. We observe that image classifiers’ attention maps at different training phases may focus on different parts of the target objects. Based on this observation, we propose an online attention accumulation (OAA) strategy that utilizes the attention maps at different training phases to obtain more integral object regions. Specifically, we maintain a cumulative attention map for each target category in each training image and utilize it to record the discovered object regions at different training phases. Albeit OAA can effectively mine more object regions for most images, for some training images, the range of the attention movement is not large, limiting the generation of integral object attention regions. To overcome this problem, we propose incorporating an attention drop layer into the online attention accumulation process to enlarge the range of attention movement during training explicitly. Our method (OAA) can be plugged into any classification network and progressively accumulate the discriminative regions into cumulative attention maps as the training process goes. Additionally, we also explore utilizing the final cumulative attention maps to serve as the pixel-level supervision, which can further assist the network in discovering more integral object regions. When applying the resulting attention maps to the weakly supervised semantic segmentation task, our approach improves the existing state-of-the-art methods on the PASCAL VOC 2012 segmentation benchmark, achieving a mIoU score of 67.2 percent on the test set.", "title": "Online Attention Accumulation for Weakly Supervised Semantic Segmentation", "normalizedTitle": "Online Attention Accumulation for Weakly Supervised Semantic Segmentation", "fno": "09465740", "hasPdf": true, "idPrefix": "tp", "keywords": [ "Image Classification", "Image Segmentation", "Learning Artificial Intelligence", "Object Detection", "Supervised Learning", "Entire Object Regions", "Image Classifiers", "Training Phases", "Target Objects", "Online Attention Accumulation Strategy", "OAA", "Integral Object Regions", "Cumulative Attention Map", "Training Image", "Discovered Object Regions", "Attention Movement", "Integral Object Attention Regions", "Attention Drop Layer", "Online Attention Accumulation Process", "Discriminative Regions", "Training Process", "Final Cumulative Attention Maps", "Pixel Level Supervision", "Resulting Attention Maps", "Weakly Supervised Semantic Segmentation Task", "PASCAL VOC 2012 Segmentation Benchmark", "Object Attention Maps", "Discriminative Object Parts", "Integral Object Localization Maps", "Training", "Semantics", "Cats", "Image Segmentation", "Visualization", "Task Analysis", "Location Awareness", "Weakly Supervised Semantic Segmentation", "Attention Maps", "Online Attention Accumulation", "Attention Drop Layer", "Pixel Level Supervision" ], "authors": [ { "givenName": "Peng-Tao", "surname": "Jiang", "fullName": "Peng-Tao Jiang", "affiliation": "TKLNDST, College of Computer Science, Nankai University, Tianjin, China", "__typename": "ArticleAuthorType" }, { "givenName": "Ling-Hao", "surname": "Han", "fullName": "Ling-Hao Han", "affiliation": "TKLNDST, College of Computer Science, Nankai University, Tianjin, China", "__typename": "ArticleAuthorType" }, { "givenName": "Qibin", "surname": "Hou", "fullName": "Qibin Hou", "affiliation": "Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore", "__typename": "ArticleAuthorType" }, { "givenName": "Ming-Ming", "surname": "Cheng", "fullName": "Ming-Ming Cheng", "affiliation": "TKLNDST, College of Computer Science, Nankai University, Tianjin, China", "__typename": "ArticleAuthorType" }, { "givenName": "Yunchao", "surname": "Wei", "fullName": "Yunchao Wei", "affiliation": "Institute of Information Science, Beijing Jiaotong University, Beijing, China", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "10", "pubDate": "2022-10-01 00:00:00", "pubType": "trans", "pages": "7062-7077", "year": "2022", "issn": "0162-8828", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iccv/2021/2812/0/281200c866", "title": "TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization", "doi": null, "abstractUrl": "/proceedings-article/iccv/2021/281200c866/1BmGioA2Ua4", "parentPublication": { "id": "proceedings/iccv/2021/2812/0", "title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/5555/01/09756329", "title": "Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization", "doi": null, "abstractUrl": "/journal/tp/5555/01/09756329/1CvQetRGQGA", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2022/6946/0/6.946E294", "title": "Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2022/6.946E294/1H0NM88T1Qs", "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/cvpr/2022/6946/0/694600q6865", "title": "L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2022/694600q6865/1H1i5LOMmru", "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/cvpr/2022/6946/0/6.946E305", "title": "Multi-class Token Transformer for Weakly Supervised Semantic Segmentation", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2022/6.946E305/1H1iA9i6LD2", "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/icpr/2022/9062/0/09956339", "title": "Weakly Supervised Object Localization Using Long-Range Semantic Foreground Activation", "doi": null, "abstractUrl": "/proceedings-article/icpr/2022/09956339/1IHqyF9eB3O", "parentPublication": { "id": "proceedings/icpr/2022/9062/0", "title": "2022 26th International Conference on Pattern Recognition (ICPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2019/4803/0/480300c070", "title": "Integral Object Mining via Online Attention Accumulation", "doi": null, "abstractUrl": "/proceedings-article/iccv/2019/480300c070/1hVll0d0aKA", "parentPublication": { "id": "proceedings/iccv/2019/4803/0", "title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/2021/12/09105077", "title": "Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation", "doi": null, "abstractUrl": "/journal/tp/2021/12/09105077/1kj0NQULDaM", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2020/7168/0/716800i988", "title": "Weakly-Supervised Semantic Segmentation via Sub-Category Exploration", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2020/716800i988/1m3nZjpcGfC", "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/2021/4509/0/450900q6760", "title": "Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2021/450900q6760/1yeIA9JoXh6", "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": "09445039", "articleId": "1uaakIvKjfi", "__typename": "AdjacentArticleType" }, "next": { "fno": "09454311", "articleId": "1uqBflSVEpq", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNC8uRnd", "title": "July-August", "year": "1998", "issueNum": "04", "idPrefix": "cg", "pubType": "magazine", "volume": "18", "label": "July-August", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwwslws", "doi": "10.1109/38.689661", "abstract": "In this short article I describe visualization techniques designed to help users understand and manage the complexity of large, structured hypermedia collections. Hyperlink relationships and hierarchical structure can be visualized either separately or in combination. The availability of rich metadata allows further enhancement of the visualizations.", "abstracts": [ { "abstractType": "Regular", "content": "In this short article I describe visualization techniques designed to help users understand and manage the complexity of large, structured hypermedia collections. Hyperlink relationships and hierarchical structure can be visualized either separately or in combination. The availability of rich metadata allows further enhancement of the visualizations.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "In this short article I describe visualization techniques designed to help users understand and manage the complexity of large, structured hypermedia collections. Hyperlink relationships and hierarchical structure can be visualized either separately or in combination. The availability of rich metadata allows further enhancement of the visualizations.", "title": "Visualizing Rich, Structured Hypermedia", "normalizedTitle": "Visualizing Rich, Structured Hypermedia", "fno": "mcg1998040040", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Information Visualization", "Hierarchies", "Link Maps", "Metadata", "Hyperwave" ], "authors": [ { "givenName": "Keith", "surname": "Andrews", "fullName": "Keith Andrews", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": false, "isOpenAccess": false, "issueNum": "04", "pubDate": "1998-07-01 00:00:00", "pubType": "mags", "pages": "40-42", "year": "1998", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [], "adjacentArticles": { "previous": { "fno": "mcg1998040039", "articleId": "13rRUwInuYv", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg1998040043", "articleId": "13rRUyYjKcO", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNwJPMX5", "title": "Dec.", "year": "2011", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "17", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxOve9E", "doi": "10.1109/TVCG.2011.251", "abstract": "While it is still most common for information visualization researchers to develop new visualizations from a data- or taskdriven perspective, there is growing interest in understanding the types of visualizations people create by themselves for personal use. As part of this recent direction, we have studied a large collection of whiteboards in a research institution, where people make active use of combinations of words, diagrams and various types of visuals to help them further their thought processes. Our goal is to arrive at a better understanding of the nature of visuals that are created spontaneously during brainstorming, thinking, communicating, and general problem solving on whiteboards. We use the qualitative approaches of open coding, interviewing, and affinity diagramming to explore the use of recognizable and novel visuals, and the interplay between visualization and diagrammatic elements with words, numbers and labels. We discuss the potential implications of our findings on information visualization design.", "abstracts": [ { "abstractType": "Regular", "content": "While it is still most common for information visualization researchers to develop new visualizations from a data- or taskdriven perspective, there is growing interest in understanding the types of visualizations people create by themselves for personal use. As part of this recent direction, we have studied a large collection of whiteboards in a research institution, where people make active use of combinations of words, diagrams and various types of visuals to help them further their thought processes. Our goal is to arrive at a better understanding of the nature of visuals that are created spontaneously during brainstorming, thinking, communicating, and general problem solving on whiteboards. We use the qualitative approaches of open coding, interviewing, and affinity diagramming to explore the use of recognizable and novel visuals, and the interplay between visualization and diagrammatic elements with words, numbers and labels. We discuss the potential implications of our findings on information visualization design.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "While it is still most common for information visualization researchers to develop new visualizations from a data- or taskdriven perspective, there is growing interest in understanding the types of visualizations people create by themselves for personal use. As part of this recent direction, we have studied a large collection of whiteboards in a research institution, where people make active use of combinations of words, diagrams and various types of visuals to help them further their thought processes. Our goal is to arrive at a better understanding of the nature of visuals that are created spontaneously during brainstorming, thinking, communicating, and general problem solving on whiteboards. We use the qualitative approaches of open coding, interviewing, and affinity diagramming to explore the use of recognizable and novel visuals, and the interplay between visualization and diagrammatic elements with words, numbers and labels. We discuss the potential implications of our findings on information visualization design.", "title": "Visual Thinking In Action: Visualizations As Used On Whiteboards", "normalizedTitle": "Visual Thinking In Action: Visualizations As Used On Whiteboards", "fno": "ttg2011122508", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Visualization", "Diagrams", "Whiteboards", "Observational Study" ], "authors": [ { "givenName": "Jagoda", "surname": "Walny", "fullName": "Jagoda Walny", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Sheelagh", "surname": "Carpendale", "fullName": "Sheelagh Carpendale", "affiliation": "University of Calgary / Microsoft Research", "__typename": "ArticleAuthorType" }, { "givenName": "Nathalie", "surname": "Henry Riche", "fullName": "Nathalie Henry Riche", "affiliation": "Microsoft Research", "__typename": "ArticleAuthorType" }, { "givenName": "Gina", "surname": "Venolia", "fullName": "Gina Venolia", "affiliation": "Microsoft Research", "__typename": "ArticleAuthorType" }, { "givenName": "Philip", "surname": "Fawcett", "fullName": "Philip Fawcett", "affiliation": "Microsoft Research", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2011-12-01 00:00:00", "pubType": "trans", "pages": "2508-2517", "year": "2011", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2008/3268/0/3268a106", "title": "An Interview-Based User Study on the use of Visualizations for Folder Browsing", "doi": null, "abstractUrl": "/proceedings-article/iv/2008/3268a106/12OmNsbY6Pr", "parentPublication": { "id": "proceedings/iv/2008/3268/0", "title": "2008 12th International Conference Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wetice/2000/0798/0/07980043", "title": "Should Users Inhabit Visualizations?", "doi": null, "abstractUrl": "/proceedings-article/wetice/2000/07980043/12OmNvSbBA2", "parentPublication": { "id": "proceedings/wetice/2000/0798/0", "title": "Proceedings IEEE 9th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE 2000)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cgiv/2012/4778/0/4778a061", "title": "Window to the Soul: Tracking Eyes to Inform the Design of Visualizations", "doi": null, "abstractUrl": "/proceedings-article/cgiv/2012/4778a061/12OmNzXWZIO", "parentPublication": { "id": "proceedings/cgiv/2012/4778/0", "title": "2012 Ninth International Conference on Computer Graphics, Imaging and Visualization", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122779", "title": "Understanding Pen and Touch Interaction for Data Exploration on Interactive Whiteboards", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122779/13rRUIJcWlm", "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": "trans/tg/2012/12/ttg2012122679", "title": "Design Considerations for Optimizing Storyline Visualizations", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122679/13rRUwhHcQR", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2010/06/ttg2010060935", "title": "Uncovering Strengths and Weaknesses of Radial Visualizations---an Empirical Approach", "doi": null, "abstractUrl": "/journal/tg/2010/06/ttg2010060935/13rRUwjGoFS", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1192", "title": "VisLink: Revealing Relationships Amongst Visualizations", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1192/13rRUyogGA6", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440818", "title": "Looks Good To Me: Visualizations As Sanity Checks", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440818/17D45W2WyxG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08807292", "title": "Data by Proxy &#x2014; Material Traces as Autographic Visualizations", "doi": null, "abstractUrl": "/journal/tg/2020/01/08807292/1cG65uolr9e", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2011122498", "articleId": "13rRUxcbnH7", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2011122518", "articleId": "13rRUwjXZSb", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNrJRP2h", "title": "Feb.", "year": "2018", "issueNum": "02", "idPrefix": "tk", "pubType": "journal", "volume": "30", "label": "Feb.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxYrbV5", "doi": "10.1109/TKDE.2017.2765634", "abstract": "Data visualization is a common and effective technique for data exploration. However, for complex data, it is infeasible for an analyst to manually generate and browse all possible visualizations for insights. This observation motivated the need for automated solutions that can effectively recommend such visualizations. The main idea underlying those solutions is to evaluate the utility of all possible visualizations and then recommend the top-k visualizations. This process incurs high data processing cost, that is further aggravated by the presence of numerical dimensional attributes. To address that challenge, we propose novel view recommendation schemes, which incorporate a hybrid multi-objective utility function that captures the impact of numerical dimension attributes. Our first scheme, Multi-Objective View Recommendation for Data Exploration (MuVE), adopts an incremental evaluation of our multi-objective utility function, which allows pruning of a large number of low-utility views and avoids unnecessary objective evaluations. Our second scheme, upper MuVE (uMuVE), further improves the pruning power by setting the upper bounds on the utility of views and allowing interleaved processing of views, at the expense of increased memory usage. Finally, our third scheme, Memory-aware uMuVE (MuMuVE), provides pruning power close to that of uMuVE, while keeping memory usage within a pre-specified limit.", "abstracts": [ { "abstractType": "Regular", "content": "Data visualization is a common and effective technique for data exploration. However, for complex data, it is infeasible for an analyst to manually generate and browse all possible visualizations for insights. This observation motivated the need for automated solutions that can effectively recommend such visualizations. The main idea underlying those solutions is to evaluate the utility of all possible visualizations and then recommend the top-k visualizations. This process incurs high data processing cost, that is further aggravated by the presence of numerical dimensional attributes. To address that challenge, we propose novel view recommendation schemes, which incorporate a hybrid multi-objective utility function that captures the impact of numerical dimension attributes. Our first scheme, Multi-Objective View Recommendation for Data Exploration (MuVE), adopts an incremental evaluation of our multi-objective utility function, which allows pruning of a large number of low-utility views and avoids unnecessary objective evaluations. Our second scheme, upper MuVE (uMuVE), further improves the pruning power by setting the upper bounds on the utility of views and allowing interleaved processing of views, at the expense of increased memory usage. Finally, our third scheme, Memory-aware uMuVE (MuMuVE), provides pruning power close to that of uMuVE, while keeping memory usage within a pre-specified limit.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Data visualization is a common and effective technique for data exploration. However, for complex data, it is infeasible for an analyst to manually generate and browse all possible visualizations for insights. This observation motivated the need for automated solutions that can effectively recommend such visualizations. The main idea underlying those solutions is to evaluate the utility of all possible visualizations and then recommend the top-k visualizations. This process incurs high data processing cost, that is further aggravated by the presence of numerical dimensional attributes. To address that challenge, we propose novel view recommendation schemes, which incorporate a hybrid multi-objective utility function that captures the impact of numerical dimension attributes. Our first scheme, Multi-Objective View Recommendation for Data Exploration (MuVE), adopts an incremental evaluation of our multi-objective utility function, which allows pruning of a large number of low-utility views and avoids unnecessary objective evaluations. Our second scheme, upper MuVE (uMuVE), further improves the pruning power by setting the upper bounds on the utility of views and allowing interleaved processing of views, at the expense of increased memory usage. Finally, our third scheme, Memory-aware uMuVE (MuMuVE), provides pruning power close to that of uMuVE, while keeping memory usage within a pre-specified limit.", "title": "Efficient Recommendation of Aggregate Data Visualizations", "normalizedTitle": "Efficient Recommendation of Aggregate Data Visualizations", "fno": "08081825", "hasPdf": true, "idPrefix": "tk", "keywords": [ "Data Visualization", "Aggregates", "Visualization", "Measurement", "Search Problems", "Visual Databases", "Data Aggregation", "Data Exploration", "Visual Analytics", "Aggregate Views", "View Recommendation" ], "authors": [ { "givenName": "Humaira", "surname": "Ehsan", "fullName": "Humaira Ehsan", "affiliation": "School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Mohamed A.", "surname": "Sharaf", "fullName": "Mohamed A. Sharaf", "affiliation": "School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia", "__typename": "ArticleAuthorType" }, { "givenName": "Panos K.", "surname": "Chrysanthis", "fullName": "Panos K. Chrysanthis", "affiliation": "Department of Computer Science, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2018-02-01 00:00:00", "pubType": "trans", "pages": "263-277", "year": "2018", "issn": "1041-4347", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/etvis/2016/4731/0/07851166", "title": "An expert evaluation of word-sized visualizations for analyzing eye movement data", "doi": null, "abstractUrl": "/proceedings-article/etvis/2016/07851166/12OmNC3FGd8", "parentPublication": { "id": "proceedings/etvis/2016/4731/0", "title": "2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-infovis/2004/8779/0/87790159", "title": "Building Highly-Coordinated Visualizations in Improvise", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2004/87790159/12OmNqBtiFh", "parentPublication": { "id": "proceedings/ieee-infovis/2004/8779/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icde/2016/2020/0/07498285", "title": "MuVE: Efficient Multi-Objective View Recommendation for Visual Data Exploration", "doi": null, "abstractUrl": "/proceedings-article/icde/2016/07498285/12OmNxeM45Z", "parentPublication": { "id": "proceedings/icde/2016/2020/0", "title": "2016 IEEE 32nd International Conference on Data Engineering (ICDE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08017597", "title": "Data Visualization Saliency Model: A Tool for Evaluating Abstract Data Visualizations", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017597/13rRUNvyaf6", "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/2012/12/ttg2012122679", "title": "Design Considerations for Optimizing Storyline Visualizations", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122679/13rRUwhHcQR", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1192", "title": "VisLink: Revealing Relationships Amongst Visualizations", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1192/13rRUyogGA6", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09904449", "title": "DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy", "doi": null, "abstractUrl": "/journal/tg/2023/01/09904449/1H0GlpjfzUc", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09904428", "title": "Photosensitive Accessibility for Interactive Data Visualizations", "doi": null, "abstractUrl": "/journal/tg/2023/01/09904428/1H1goP5OTrW", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/12/09395231", "title": "Deep Colormap Extraction From Visualizations", "doi": null, "abstractUrl": "/journal/tg/2022/12/09395231/1syq9xMMQY8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "08071005", "articleId": "13rRUxAAT88", "__typename": "AdjacentArticleType" }, "next": { "fno": "08074776", "articleId": "13rRUxOveab", "__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": "13rRUy0HYRh", "doi": "10.1109/TVCG.2007.70521", "abstract": "We present VisLink, a method by which visualizations and the relationships between them can be interactively explored. VisLink readily generalizes to support multiple visualizations, empowers inter-representational queries, and enables the reuse of the spatial variables, thus supporting efficient information encoding and providing for powerful visualization bridging. Our approach uses multiple 2D layouts, drawing each one in its own plane. These planes can then be placed and re-positioned in 3D space: side by side, in parallel, or in chosen placements that provide favoured views. Relationships, connections, and patterns between visualizations can be revealed and explored using a variety of interaction techniques including spreading activation and search filters.", "abstracts": [ { "abstractType": "Regular", "content": "We present VisLink, a method by which visualizations and the relationships between them can be interactively explored. VisLink readily generalizes to support multiple visualizations, empowers inter-representational queries, and enables the reuse of the spatial variables, thus supporting efficient information encoding and providing for powerful visualization bridging. Our approach uses multiple 2D layouts, drawing each one in its own plane. These planes can then be placed and re-positioned in 3D space: side by side, in parallel, or in chosen placements that provide favoured views. Relationships, connections, and patterns between visualizations can be revealed and explored using a variety of interaction techniques including spreading activation and search filters.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We present VisLink, a method by which visualizations and the relationships between them can be interactively explored. VisLink readily generalizes to support multiple visualizations, empowers inter-representational queries, and enables the reuse of the spatial variables, thus supporting efficient information encoding and providing for powerful visualization bridging. Our approach uses multiple 2D layouts, drawing each one in its own plane. These planes can then be placed and re-positioned in 3D space: side by side, in parallel, or in chosen placements that provide favoured views. Relationships, connections, and patterns between visualizations can be revealed and explored using a variety of interaction techniques including spreading activation and search filters.", "title": "VisLink: Revealing Relationships Amongst Visualizations", "normalizedTitle": "VisLink: Revealing Relationships Amongst Visualizations", "fno": "04376140", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualisation", "Query Formulation", "Vis Link", "Data Visualizations", "Inter Representational Query", "Information Encoding", "Spreading Activation", "Search Filters", "Data Visualization", "Encoding", "Computer Science", "Filters", "Information Analysis", "Statistics", "Two Dimensional Displays", "Graph Visualization", "Node Link Diagrams", "Structural Comparison", "Hierarchies", "3 D Visualization", "Edge Aggregation" ], "authors": [ { "givenName": "Christopher", "surname": "Collins", "fullName": "Christopher Collins", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Sheelagh", "surname": "Carpendale", "fullName": "Sheelagh Carpendale", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1192-1199", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/wicsa/2016/2131/0/2131a061", "title": "Distilling Architectural Design Decisions and Their Relationships Using Frequent Item-Sets", "doi": null, "abstractUrl": "/proceedings-article/wicsa/2016/2131a061/12OmNBPc8A3", "parentPublication": { "id": "proceedings/wicsa/2016/2131/0", "title": "2016 13th Working IEEE/IFIP Conference on Software Architecture (WICSA)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2009/06/ttg2009061009", "title": "Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations", "doi": null, "abstractUrl": "/journal/tg/2009/06/ttg2009061009/13rRUwfZC0b", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1192", "title": "VisLink: Revealing Relationships Amongst Visualizations", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1192/13rRUyogGA6", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/12/08118164", "title": "Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields", "doi": null, "abstractUrl": "/journal/tg/2018/12/08118164/14H4WLmgedy", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bdva/2018/9194/0/08533895", "title": "Evaluating Navigation Techniques for 3D Graph Visualizations in Virtual Reality", "doi": null, "abstractUrl": "/proceedings-article/bdva/2018/08533895/17D45VN31ge", "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/tg/2023/01/09904476", "title": "How Do Viewers Synthesize Conflicting Information from Data Visualizations?", "doi": null, "abstractUrl": "/journal/tg/2023/01/09904476/1H1geNCdZIc", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09904453", "title": "A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics", "doi": null, "abstractUrl": "/journal/tg/2023/01/09904453/1H1giUQajSM", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2019/4803/0/480300h504", "title": "Learning Relationships for Multi-View 3D Object Recognition", "doi": null, "abstractUrl": "/proceedings-article/iccv/2019/480300h504/1hVldkkuBAA", "parentPublication": { "id": "proceedings/iccv/2019/4803/0", "title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/02/09229072", "title": "MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework", "doi": null, "abstractUrl": "/journal/tg/2021/02/09229072/1o3nzeZgQTe", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vizsec/2020/8262/0/826200a030", "title": "Improving Interpretability for Cyber Vulnerability Assessment Using Focus and Context Visualizations", "doi": null, "abstractUrl": "/proceedings-article/vizsec/2020/826200a030/1r54JwIZFy8", "parentPublication": { "id": "proceedings/vizsec/2020/8262/0", "title": "2020 IEEE Symposium on Visualization for Cyber Security (VizSec)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "04376129", "articleId": "13rRUx0xPIu", "__typename": "AdjacentArticleType" }, "next": { "fno": "v0000", "articleId": "13rRUwgQpDn", "__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": "13rRUyYSWl5", "doi": "10.1109/TVCG.2017.2745958", "abstract": "We investigate whether the notion of active reading for text might be usefully applied to visualizations. Through a qualitative study we explored whether people apply observable active reading techniques when reading paper-based node-link visualizations. Participants used a range of physical actions while reading, and from these we synthesized an initial set of active reading techniques for visualizations. To learn more about the potential impact such techniques may have on visualization reading, we implemented support for one type of physical action from our observations (making freeform marks) in an interactive node-link visualization. Results from our quantitative study of this implementation show that interactive support for active reading techniques can improve the accuracy of performing low-level visualization tasks. Together, our studies suggest that the active reading space is ripe for research exploration within visualization and can lead to new interactions that make for a more flexible and effective visualization reading experience.", "abstracts": [ { "abstractType": "Regular", "content": "We investigate whether the notion of active reading for text might be usefully applied to visualizations. Through a qualitative study we explored whether people apply observable active reading techniques when reading paper-based node-link visualizations. Participants used a range of physical actions while reading, and from these we synthesized an initial set of active reading techniques for visualizations. To learn more about the potential impact such techniques may have on visualization reading, we implemented support for one type of physical action from our observations (making freeform marks) in an interactive node-link visualization. Results from our quantitative study of this implementation show that interactive support for active reading techniques can improve the accuracy of performing low-level visualization tasks. Together, our studies suggest that the active reading space is ripe for research exploration within visualization and can lead to new interactions that make for a more flexible and effective visualization reading experience.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We investigate whether the notion of active reading for text might be usefully applied to visualizations. Through a qualitative study we explored whether people apply observable active reading techniques when reading paper-based node-link visualizations. Participants used a range of physical actions while reading, and from these we synthesized an initial set of active reading techniques for visualizations. To learn more about the potential impact such techniques may have on visualization reading, we implemented support for one type of physical action from our observations (making freeform marks) in an interactive node-link visualization. Results from our quantitative study of this implementation show that interactive support for active reading techniques can improve the accuracy of performing low-level visualization tasks. Together, our studies suggest that the active reading space is ripe for research exploration within visualization and can lead to new interactions that make for a more flexible and effective visualization reading experience.", "title": "Active Reading of Visualizations", "normalizedTitle": "Active Reading of Visualizations", "fno": "08017606", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Visualization", "Data Visualization", "Decoding", "Education", "Systematics", "Collaboration", "Indexes", "Active Reading Of Visualizations", "Active Reading", "Information Visualization", "Spectrum Of Physical Engagement" ], "authors": [ { "givenName": "Jagoda", "surname": "Walny", "fullName": "Jagoda Walny", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Samuel", "surname": "Huron", "fullName": "Samuel Huron", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Charles", "surname": "Perin", "fullName": "Charles Perin", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Tiffany", "surname": "Wun", "fullName": "Tiffany Wun", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Richard", "surname": "Pusch", "fullName": "Richard Pusch", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Sheelagh", "surname": "Carpendale", "fullName": "Sheelagh Carpendale", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2018-01-01 00:00:00", "pubType": "trans", "pages": "770-780", "year": "2018", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/icalt/2014/4038/0/4038a446", "title": "Theoretical Framework of Schematic Interactions Visualization in ESL Reading Teaching", "doi": null, "abstractUrl": "/proceedings-article/icalt/2014/4038a446/12OmNAZfxH5", "parentPublication": { "id": "proceedings/icalt/2014/4038/0", "title": "2014 IEEE 14th International Conference on Advanced Learning Technologies (ICALT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08017646", "title": "Extracting and Retargeting Color Mappings from Bitmap Images of Visualizations", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017646/13rRUxYIN4e", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08017594", "title": "The Explanatory Visualization Framework: An Active Learning Framework for Teaching Creative Computing Using Explanatory Visualizations", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017594/13rRUyY28YC", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/02/08281629", "title": "Exploration Strategies for Discovery of Interactivity in Visualizations", "doi": null, "abstractUrl": "/journal/tg/2019/02/08281629/17D45WB0qaL", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440810", "title": "Elastic Documents: Coupling Text and Tables through Contextual Visualizations for Enhanced Document Reading", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440810/17D45WwsQ5M", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08807292", "title": "Data by Proxy &#x2014; Material Traces as Autographic Visualizations", "doi": null, "abstractUrl": "/journal/tg/2020/01/08807292/1cG65uolr9e", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2020/04/09117084", "title": "Close Reading for Visualization Evaluation", "doi": null, "abstractUrl": "/magazine/cg/2020/04/09117084/1kGgoDW7R2E", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/beliv/2020/9642/0/964200a029", "title": "Using Close Reading as a Method for Evaluating Visualizations", "doi": null, "abstractUrl": "/proceedings-article/beliv/2020/964200a029/1q0FO3J5Ogg", "parentPublication": { "id": "proceedings/beliv/2020/9642/0", "title": "2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/beliv/2020/9642/0/964200a019", "title": "How to evaluate data visualizations across different levels of understanding", "doi": null, "abstractUrl": "/proceedings-article/beliv/2020/964200a019/1q0FOQPpIic", "parentPublication": { "id": "proceedings/beliv/2020/9642/0", "title": "2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2020/8014/0/801400a146", "title": "Representing Real-Time Multi-User Collaboration in Visualizations", "doi": null, "abstractUrl": "/proceedings-article/vis/2020/801400a146/1qRNXFy3oac", "parentPublication": { "id": "proceedings/vis/2020/8014/0", "title": "2020 IEEE Visualization Conference (VIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "08019830", "articleId": "13rRUIJcWls", "__typename": "AdjacentArticleType" }, "next": { "fno": "08017611", "articleId": "13rRUxAAT7J", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "17ShDTYesWc", "name": "ttg201801-08017606s1.zip", "location": "https://www.computer.org/csdl/api/v1/extra/ttg201801-08017606s1.zip", "extension": "zip", "size": "21.4 MB", "__typename": "WebExtraType" } ], "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": "13rRUwbs1Sq", "doi": "10.1109/TVCG.2009.139", "abstract": "Finding suitable, less space consuming views for a document’s main content is crucial to provide convenient access to large document collections on display devices of different size. We present a novel compact visualization which represents the document’s key semantic as a mixture of images and important key terms, similar to cards in a top trumps game. The key terms are extracted using an advanced text mining approach based on a fully automatic document structure extraction. The images and their captions are extracted using a graphical heuristic and the captions are used for a semi-semantic image weighting. Furthermore, we use the image color histogram for classification and show at least one representative from each non-empty image class. The approach is demonstrated for the IEEE InfoVis publications of a complete year. The method can easily be applied to other publication collections and sets of documents which contain images.", "abstracts": [ { "abstractType": "Regular", "content": "Finding suitable, less space consuming views for a document’s main content is crucial to provide convenient access to large document collections on display devices of different size. We present a novel compact visualization which represents the document’s key semantic as a mixture of images and important key terms, similar to cards in a top trumps game. The key terms are extracted using an advanced text mining approach based on a fully automatic document structure extraction. The images and their captions are extracted using a graphical heuristic and the captions are used for a semi-semantic image weighting. Furthermore, we use the image color histogram for classification and show at least one representative from each non-empty image class. The approach is demonstrated for the IEEE InfoVis publications of a complete year. The method can easily be applied to other publication collections and sets of documents which contain images.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Finding suitable, less space consuming views for a document’s main content is crucial to provide convenient access to large document collections on display devices of different size. We present a novel compact visualization which represents the document’s key semantic as a mixture of images and important key terms, similar to cards in a top trumps game. The key terms are extracted using an advanced text mining approach based on a fully automatic document structure extraction. The images and their captions are extracted using a graphical heuristic and the captions are used for a semi-semantic image weighting. Furthermore, we use the image color histogram for classification and show at least one representative from each non-empty image class. The approach is demonstrated for the IEEE InfoVis publications of a complete year. The method can easily be applied to other publication collections and sets of documents which contain images.", "title": "Document Cards: A Top Trumps Visualization for Documents", "normalizedTitle": "Document Cards: A Top Trumps Visualization for Documents", "fno": "ttg2009061145", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Document Visualization", "Visual Summary", "Content Extraction", "Document Collection Browsing" ], "authors": [ { "givenName": "Hendrik", "surname": "Strobelt", "fullName": "Hendrik Strobelt", "affiliation": "University of Konstanz", "__typename": "ArticleAuthorType" }, { "givenName": "Daniela", "surname": "Oelke", "fullName": "Daniela Oelke", "affiliation": "University of Konstanz", "__typename": "ArticleAuthorType" }, { "givenName": "Christian", "surname": "Rohrdantz", "fullName": "Christian Rohrdantz", "affiliation": "University of Konstanz", "__typename": "ArticleAuthorType" }, { "givenName": "Andreas", "surname": "Stoffel", "fullName": "Andreas Stoffel", "affiliation": "University of Konstanz", "__typename": "ArticleAuthorType" }, { "givenName": "Daniel A.", "surname": "Keim", "fullName": "Daniel A. Keim", "affiliation": "University of Konstanz", "__typename": "ArticleAuthorType" }, { "givenName": "Oliver", "surname": "Deussen", "fullName": "Oliver Deussen", "affiliation": "University of Konstanz", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2009-11-01 00:00:00", "pubType": "trans", "pages": "1145-1152", "year": "2009", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/hicss/2012/4525/0/4525b835", "title": "A Focus + Context Technique for Visualizing a Document Collection", "doi": null, "abstractUrl": "/proceedings-article/hicss/2012/4525b835/12OmNA14A63", "parentPublication": { "id": "proceedings/hicss/2012/4525/0", "title": "2012 45th Hawaii International Conference on System Sciences", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2011/0394/0/05995568", "title": "An effective document image deblurring algorithm", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2011/05995568/12OmNA1DMnY", "parentPublication": { "id": "proceedings/cvpr/2011/0394/0", "title": "CVPR 2011", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dia/1997/8055/0/80550066", "title": "Indexing of handwritten document images", "doi": null, "abstractUrl": "/proceedings-article/dia/1997/80550066/12OmNAtK4k3", "parentPublication": { "id": "proceedings/dia/1997/8055/0", "title": "Document Image Analysis, Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dial/2004/2088/0/20880064", "title": "Managing Document Images in a Digital Library: An Ontology Guided Approach", "doi": null, "abstractUrl": "/proceedings-article/dial/2004/20880064/12OmNC1Gugw", "parentPublication": { "id": "proceedings/dial/2004/2088/0", "title": "Proceedings. First Workshop on Document Image Analysis for Libraries", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/isspit/2005/9313/0/01577178", "title": "Generating user-focused, content-based summaries for multi-documents using document graphs", "doi": null, "abstractUrl": "/proceedings-article/isspit/2005/01577178/12OmNrJAehW", "parentPublication": { "id": "proceedings/isspit/2005/9313/0", "title": "2005 IEEE International Symposium on Signal Processing and Information Technology", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/isspit/2006/9753/0/04042277", "title": "Improving Query-Based Summarization Using Document Graphs", "doi": null, "abstractUrl": "/proceedings-article/isspit/2006/04042277/12OmNrkjVqf", "parentPublication": { "id": "proceedings/isspit/2006/9753/0", "title": "2006 IEEE International Symposium on Signal Processing and Information Technology", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/csse/2008/3336/1/3336a020", "title": "Query-Focused Multi-document Summarization Using Keyword Extraction", "doi": null, "abstractUrl": "/proceedings-article/csse/2008/3336a020/12OmNvkYx9O", "parentPublication": { "id": "proceedings/csse/2008/3336/1", "title": "Computer Science and Software Engineering, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdar/2017/3586/1/3586a789", "title": "Convolutional Neural Networks for Figure Extraction in Historical Technical Documents", "doi": null, "abstractUrl": "/proceedings-article/icdar/2017/3586a789/12OmNz6iOhI", "parentPublication": { "id": "proceedings/icdar/2017/3586/1", "title": "2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/so/2003/03/s3076", "title": "Automated QA for Document Understanding Systems", "doi": null, "abstractUrl": "/magazine/so/2003/03/s3076/13rRUxbCbrD", "parentPublication": { "id": "mags/so", "title": "IEEE Software", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bibm/2022/6819/0/09994867", "title": "BioMDSE: A Multimodal Deep Learning-Based Search Engine Framework for Biofilm Documents Classifications", "doi": null, "abstractUrl": "/proceedings-article/bibm/2022/09994867/1JC2ycIWT4Y", "parentPublication": { "id": "proceedings/bibm/2022/6819/0", "title": "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2009061137", "articleId": "13rRUxASuMy", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2009061153", "articleId": "13rRUxcsYLH", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "17ShDTXnFpd", "name": "ttg2009061145s.mp4", "location": "https://www.computer.org/csdl/api/v1/extra/ttg2009061145s.mp4", "extension": "mp4", "size": "9.25 MB", "__typename": "WebExtraType" } ], "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": "13rRUwgQpDp", "doi": "10.1109/TVCG.2009.140", "abstract": "With the rapid growth of the World Wide Web and electronic information services,text corpus is becoming available on-line at an incredible rate.By displaying text data in a logical layout (e.g., color graphs),text visualization presents a direct way to observe the documentsas well as understand the relationship between them.In this paper, we propose a novel technique, Exemplar-based Visualization (EV), to visualizean extremely large text corpus. Capitalizing on recent advances in matrixapproximation and decomposition, EV presents a probabilistic multidimensional projection modelin the low-rank text subspace with a sound objective function. The probability of each document proportion to the topics is obtained through iterative optimization andembedded to a low dimensional space using parameter embedding.By selecting the representative exemplars, we obtain a compactapproximation of the data. This makes the visualization highly efficient and flexible. In addition, the selected exemplars neatly summarize the entire data set and greatly reduce the cognitiveoverload in the visualization, leading to an easier interpretation oflarge text corpus. Empirically, we demonstrate the superior performance of EVthrough extensive experiments performed on the publicly available text data sets.", "abstracts": [ { "abstractType": "Regular", "content": "With the rapid growth of the World Wide Web and electronic information services,text corpus is becoming available on-line at an incredible rate.By displaying text data in a logical layout (e.g., color graphs),text visualization presents a direct way to observe the documentsas well as understand the relationship between them.In this paper, we propose a novel technique, Exemplar-based Visualization (EV), to visualizean extremely large text corpus. Capitalizing on recent advances in matrixapproximation and decomposition, EV presents a probabilistic multidimensional projection modelin the low-rank text subspace with a sound objective function. The probability of each document proportion to the topics is obtained through iterative optimization andembedded to a low dimensional space using parameter embedding.By selecting the representative exemplars, we obtain a compactapproximation of the data. This makes the visualization highly efficient and flexible. In addition, the selected exemplars neatly summarize the entire data set and greatly reduce the cognitiveoverload in the visualization, leading to an easier interpretation oflarge text corpus. Empirically, we demonstrate the superior performance of EVthrough extensive experiments performed on the publicly available text data sets.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "With the rapid growth of the World Wide Web and electronic information services,text corpus is becoming available on-line at an incredible rate.By displaying text data in a logical layout (e.g., color graphs),text visualization presents a direct way to observe the documentsas well as understand the relationship between them.In this paper, we propose a novel technique, Exemplar-based Visualization (EV), to visualizean extremely large text corpus. Capitalizing on recent advances in matrixapproximation and decomposition, EV presents a probabilistic multidimensional projection modelin the low-rank text subspace with a sound objective function. The probability of each document proportion to the topics is obtained through iterative optimization andembedded to a low dimensional space using parameter embedding.By selecting the representative exemplars, we obtain a compactapproximation of the data. This makes the visualization highly efficient and flexible. In addition, the selected exemplars neatly summarize the entire data set and greatly reduce the cognitiveoverload in the visualization, leading to an easier interpretation oflarge text corpus. Empirically, we demonstrate the superior performance of EVthrough extensive experiments performed on the publicly available text data sets.", "title": "Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115)", "normalizedTitle": "Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115)", "fno": "ttg2009061161", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Exemplar", "Large Scale Document Visualization", "Multidimensional Projection" ], "authors": [ { "givenName": "Yanhua", "surname": "Chen", "fullName": "Yanhua Chen", "affiliation": "Wayne State University, Detroit, MI", "__typename": "ArticleAuthorType" }, { "givenName": "Lijun", "surname": "Wang", "fullName": "Lijun Wang", "affiliation": "Wayne State University, Detroit, MI", "__typename": "ArticleAuthorType" }, { "givenName": "Ming", "surname": "Dong", "fullName": "Ming Dong", "affiliation": "Wayne State University, Detroit, MI", "__typename": "ArticleAuthorType" }, { "givenName": "Jing", "surname": "Hua", "fullName": "Jing Hua", "affiliation": "Wayne State University, Detroit, MI", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2009-11-01 00:00:00", "pubType": "trans", "pages": "1161-1168", "year": "2009", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/cvpr/2012/1226/0/271P2C09", "title": "Power SVM: Generalization with exemplar classification uncertainty", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2012/271P2C09/12OmNC2OSMV", "parentPublication": { "id": "proceedings/cvpr/2012/1226/0", "title": "2012 IEEE Conference on Computer Vision and Pattern Recognition", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2009/3733/0/3733a292", "title": "Document Visualization Based on Semantic Graphs", "doi": null, "abstractUrl": "/proceedings-article/iv/2009/3733a292/12OmNqAU6rX", "parentPublication": { "id": "proceedings/iv/2009/3733/0", "title": "2009 13th International Conference Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/fie/2009/4715/0/05350575", "title": "Assessment management in large courses", "doi": null, "abstractUrl": "/proceedings-article/fie/2009/05350575/12OmNrF2DHp", "parentPublication": { "id": "proceedings/fie/2009/4715/0", "title": "2009 39th IEEE Frontiers in Education Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieec/2009/3686/0/3686a640", "title": "The Research on Automatic Construction Techniques of Large-Scale Corpus for Chinese Text Categorization", "doi": null, "abstractUrl": "/proceedings-article/ieec/2009/3686a640/12OmNxXl5Ee", "parentPublication": { "id": "proceedings/ieec/2009/3686/0", "title": "2009 International Symposium on Information Engineering and Electronic Commerce (IEEC)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wacv/1996/7620/0/76200278", "title": "Document Layout Structure Extraction Using Bounding Boxes of Different Entities", "doi": null, "abstractUrl": "/proceedings-article/wacv/1996/76200278/12OmNxdm4JV", "parentPublication": { "id": "proceedings/wacv/1996/7620/0", "title": "Applications of Computer Vision, IEEE Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/jcdl/2001/2287/0/22870435", "title": "Document Quality Indicators and Corpus Editions", "doi": null, "abstractUrl": "/proceedings-article/jcdl/2001/22870435/12OmNzxyiP5", "parentPublication": { "id": "proceedings/jcdl/2001/2287/0", "title": "Digital Libraries, Joint Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1208", "title": "Sequential Document Visualization", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1208/13rRUwInvAV", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2009/06/ttg2009061145", "title": "Document Cards: A Top Trumps Visualization for Documents", "doi": null, "abstractUrl": "/journal/tg/2009/06/ttg2009061145/13rRUwbs1Sq", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/1996/06/k0923", "title": "Visualization Techniques for Mining Large Databases: A Comparison", "doi": null, "abstractUrl": "/journal/tk/1996/06/k0923/13rRUyYjK5s", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2021/02/09238399", "title": "<sc>Cartolabe</sc>: A Web-Based Scalable Visualization of Large Document Collections", "doi": null, "abstractUrl": "/magazine/cg/2021/02/09238399/1oa1KJAPKOA", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2009061153", "articleId": "13rRUxcsYLH", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2009061169", "articleId": "13rRUB7a1fL", "__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": "13rRUx0gepZ", "doi": "10.1109/TVCG.2016.2598885", "abstract": "Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.", "abstracts": [ { "abstractType": "Regular", "content": "Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.", "title": "Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation", "normalizedTitle": "Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation", "fno": "07539669", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Visualization", "Data Visualization", "Clutter", "Labeling", "Standards", "Algorithm Design And Analysis", "Joining Processes", "Cartographic Information Visualisation", "Flow Maps", "Matrix Visualisation" ], "authors": [ { "givenName": "Yalong", "surname": "Yang", "fullName": "Yalong Yang", "affiliation": "Monash University, Data61, CSIRO, Victoria", "__typename": "ArticleAuthorType" }, { "givenName": "Tim", "surname": "Dwyer", "fullName": "Tim Dwyer", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Sarah", "surname": "Goodwin", "fullName": "Sarah Goodwin", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Kim", "surname": "Marriott", "fullName": "Kim Marriott", "affiliation": "Monash University, Data61, CSIRO, Victoria", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2017-01-01 00:00:00", "pubType": "trans", "pages": "411-420", "year": "2017", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2010/7846/0/05571340", "title": "Liquid Diagrams: Information Visualisation Gadgets", "doi": null, "abstractUrl": "/proceedings-article/iv/2010/05571340/12OmNB9KHug", "parentPublication": { "id": "proceedings/iv/2010/7846/0", "title": "2010 14th International Conference Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2017/5738/0/08031609", "title": "Making many-to-many parallel coordinate plots scalable by asymmetric biclustering", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2017/08031609/12OmNrHjqNa", "parentPublication": { "id": "proceedings/pacificvis/2017/5738/0", "title": "2017 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2014/4103/0/4103a019", "title": "Graph Exploration by Multiple Linked Metric Views", "doi": null, "abstractUrl": "/proceedings-article/iv/2014/4103a019/12OmNscfI0S", "parentPublication": { "id": "proceedings/iv/2014/4103/0", "title": "2014 18th International Conference on Information Visualisation (IV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icn/2009/3552/0/3552a156", "title": "An Approach to Data Extraction and Visualisation for Wireless Sensor Networks", "doi": null, "abstractUrl": "/proceedings-article/icn/2009/3552a156/12OmNwwMeXH", "parentPublication": { "id": "proceedings/icn/2009/3552/0", "title": "International Conference on Networking", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/09/07587808", "title": "Revealing Patterns and Trends of Mass Mobility Through Spatial and Temporal Abstraction of Origin-Destination Movement Data", "doi": null, "abstractUrl": "/journal/tg/2017/09/07587808/13rRUwbs2gw", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2015/10/07091028", "title": "A Task Taxonomy for Temporal Graph Visualisation", "doi": null, "abstractUrl": "/journal/tg/2015/10/07091028/13rRUxDqS8k", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440844", "title": "Origin-Destination Flow Maps in Immersive Environments", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440844/17D45Vw15vc", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440039", "title": "Visual Abstraction of Large Scale Geospatial Origin-Destination Movement Data", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440039/17D45WaTknI", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2020/5697/0/09086284", "title": "Uncertainty Visualisation: An Interactive Visual Survey", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2020/09086284/1kuHmnAIyD6", "parentPublication": { "id": "proceedings/pacificvis/2020/5697/0", "title": "2020 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/csde/2019/6303/0/09162356", "title": "Big Data Visualisation - An Update until Today", "doi": null, "abstractUrl": "/proceedings-article/csde/2019/09162356/1m6hPcxcycw", "parentPublication": { "id": "proceedings/csde/2019/6303/0", "title": "2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07539318", "articleId": "13rRUxZzAhI", "__typename": "AdjacentArticleType" }, "next": { "fno": "07539393", "articleId": "13rRUwjGoLK", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNyPQ4Dx", "title": "Dec.", "year": "2012", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "18", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxZRbo0", "doi": "10.1109/TVCG.2012.237", "abstract": "Visual comparison is an intrinsic part of interactive data exploration and analysis. The literature provides a large body of existing solutions that help users accomplish comparison tasks. These solutions are mostly of visual nature and custom-made for specific data. We ask the question if a more general support is possible by focusing on the interaction aspect of comparison tasks. As an answer to this question, we propose a novel interaction concept that is inspired by real-world behavior of people comparing information printed on paper. In line with real-world interaction, our approach supports users (1) in interactively specifying pieces of graphical information to be compared, (2) in flexibly arranging these pieces on the screen, and (3) in performing the actual comparison of side-by-side and overlapping arrangements of the graphical information. Complementary visual cues and add-ons further assist users in carrying out comparison tasks. Our concept and the integrated interaction techniques are generally applicable and can be coupled with different visualization techniques. We implemented an interactive prototype and conducted a qualitative user study to assess the concept's usefulness in the context of three different visualization techniques. The obtained feedback indicates that our interaction techniques mimic the natural behavior quite well, can be learned quickly, and are easy to apply to visual comparison tasks.", "abstracts": [ { "abstractType": "Regular", "content": "Visual comparison is an intrinsic part of interactive data exploration and analysis. The literature provides a large body of existing solutions that help users accomplish comparison tasks. These solutions are mostly of visual nature and custom-made for specific data. We ask the question if a more general support is possible by focusing on the interaction aspect of comparison tasks. As an answer to this question, we propose a novel interaction concept that is inspired by real-world behavior of people comparing information printed on paper. In line with real-world interaction, our approach supports users (1) in interactively specifying pieces of graphical information to be compared, (2) in flexibly arranging these pieces on the screen, and (3) in performing the actual comparison of side-by-side and overlapping arrangements of the graphical information. Complementary visual cues and add-ons further assist users in carrying out comparison tasks. Our concept and the integrated interaction techniques are generally applicable and can be coupled with different visualization techniques. We implemented an interactive prototype and conducted a qualitative user study to assess the concept's usefulness in the context of three different visualization techniques. The obtained feedback indicates that our interaction techniques mimic the natural behavior quite well, can be learned quickly, and are easy to apply to visual comparison tasks.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Visual comparison is an intrinsic part of interactive data exploration and analysis. The literature provides a large body of existing solutions that help users accomplish comparison tasks. These solutions are mostly of visual nature and custom-made for specific data. We ask the question if a more general support is possible by focusing on the interaction aspect of comparison tasks. As an answer to this question, we propose a novel interaction concept that is inspired by real-world behavior of people comparing information printed on paper. In line with real-world interaction, our approach supports users (1) in interactively specifying pieces of graphical information to be compared, (2) in flexibly arranging these pieces on the screen, and (3) in performing the actual comparison of side-by-side and overlapping arrangements of the graphical information. Complementary visual cues and add-ons further assist users in carrying out comparison tasks. Our concept and the integrated interaction techniques are generally applicable and can be coupled with different visualization techniques. We implemented an interactive prototype and conducted a qualitative user study to assess the concept's usefulness in the context of three different visualization techniques. The obtained feedback indicates that our interaction techniques mimic the natural behavior quite well, can be learned quickly, and are easy to apply to visual comparison tasks.", "title": "Interaction Support for Visual Comparison Inspired by Natural Behavior", "normalizedTitle": "Interaction Support for Visual Comparison Inspired by Natural Behavior", "fno": "ttg2012122719", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualisation", "Data Analysis", "Visualization Technique", "Interaction Support", "Visual Comparison", "Natural Behavior", "Interactive Data Exploration", "Interactive Data Analysis", "Interaction Concept", "Complementary Visual Cues", "Integrated Interaction Technique", "Visualization", "Data Visualization", "Shape", "Layout", "Animation", "Navigation", "Computers", "Natural Interaction", "Interaction Techniques", "Visual Comparison", "Visualization", "Human Computer Interaction" ], "authors": [ { "givenName": "C.", "surname": "Tominski", "fullName": "C. Tominski", "affiliation": "Univ. of Rostock, Rostock, Germany", "__typename": "ArticleAuthorType" }, { "givenName": "C.", "surname": "Forsell", "fullName": "C. Forsell", "affiliation": "Linkoping Univ., Linkoping, Sweden", "__typename": "ArticleAuthorType" }, { "givenName": "J.", "surname": "Johansson", "fullName": "J. Johansson", "affiliation": "Linkoping Univ., Linkoping, Sweden", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2012-12-01 00:00:00", "pubType": "trans", "pages": "2719-2728", "year": "2012", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/elmar/2006/4403/0/04127508", "title": "Audio ? Visual Interaction: Multimedia Applications", "doi": null, "abstractUrl": "/proceedings-article/elmar/2006/04127508/12OmNwFid4i", "parentPublication": { "id": "proceedings/elmar/2006/4403/0", "title": "International Symposium ELMAR", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pacificvis/2017/5738/0/08031580", "title": "Interaction+: Interaction enhancement for web-based visualizations", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2017/08031580/12OmNyQ7FJe", "parentPublication": { "id": "proceedings/pacificvis/2017/5738/0", "title": "2017 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/01/07534826", "title": "Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation", "doi": null, "abstractUrl": "/journal/tg/2017/01/07534826/13rRUwwJWFQ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2014/04/mcg2014040008", "title": "Semantic Interaction for Visual Analytics: Toward Coupling Cognition and Computation", "doi": null, "abstractUrl": "/magazine/cg/2014/04/mcg2014040008/13rRUwwslv3", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2013/08/ttg2013081362", "title": "Stack Zooming for Multifocus Interaction in Skewed-Aspect Visual Spaces", "doi": null, "abstractUrl": "/journal/tg/2013/08/ttg2013081362/13rRUx0xPi8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/ic/2015/06/mic2015060060", "title": "Natural Interaction with Visualization Systems", "doi": null, "abstractUrl": "/magazine/ic/2015/06/mic2015060060/13rRUxCRFSG", "parentPublication": { "id": "mags/ic", "title": "IEEE Internet Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/01/07539616", "title": "HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History", "doi": null, "abstractUrl": "/journal/tg/2017/01/07539616/13rRUyeTVi6", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mlui/2019/4064/0/10075565", "title": "DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning", "doi": null, "abstractUrl": "/proceedings-article/mlui/2019/10075565/1LIRvsHYwsE", "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": "trans/tg/2020/01/08805424", "title": "What is Interaction for Data Visualization?", "doi": null, "abstractUrl": "/journal/tg/2020/01/08805424/1cG4MsovTO0", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08807320", "title": "The Perceptual Proxies of Visual Comparison", "doi": null, "abstractUrl": "/journal/tg/2020/01/08807320/1cG6vb0dTG0", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2012122709", "articleId": "13rRUxASuGi", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2012122729", "articleId": "13rRUynHuj8", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "17ShDTXFgR3", "name": "ttg2012122719s1.mp4", "location": "https://www.computer.org/csdl/api/v1/extra/ttg2012122719s1.mp4", "extension": "mp4", "size": "43.1 MB", "__typename": "WebExtraType" } ], "articleVideos": [] }
{ "issue": { "id": "12OmNqESuij", "title": "May", "year": "2012", "issueNum": "05", "idPrefix": "tg", "pubType": "journal", "volume": "18", "label": "May", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwkxc5p", "doi": "10.1109/TVCG.2011.287", "abstract": "Co-located collaboration can be extremely valuable during complex visual analytics tasks. We present an exploratory study of a system designed to support collaborative visual analysis tasks on a digital tabletop display. Fifteen participant pairs employed Cambiera, a visual analytics system, to solve a problem involving 240 digital documents. Our analysis, supported by observations, system logs, questionnaires, and interview data, explores how pairs approached the problem around the table. We contribute a unique, rich understanding of how users worked together around the table and identify eight types of collaboration styles that can be used to identify how closely people work together while problem solving. We show how the closeness of teams' collaboration and communication influenced how they performed on the task overall. We further discuss the role of the tabletop for visual analytics tasks and derive design implications for future co-located collaborative tabletop problem solving systems.", "abstracts": [ { "abstractType": "Regular", "content": "Co-located collaboration can be extremely valuable during complex visual analytics tasks. We present an exploratory study of a system designed to support collaborative visual analysis tasks on a digital tabletop display. Fifteen participant pairs employed Cambiera, a visual analytics system, to solve a problem involving 240 digital documents. Our analysis, supported by observations, system logs, questionnaires, and interview data, explores how pairs approached the problem around the table. We contribute a unique, rich understanding of how users worked together around the table and identify eight types of collaboration styles that can be used to identify how closely people work together while problem solving. We show how the closeness of teams' collaboration and communication influenced how they performed on the task overall. We further discuss the role of the tabletop for visual analytics tasks and derive design implications for future co-located collaborative tabletop problem solving systems.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Co-located collaboration can be extremely valuable during complex visual analytics tasks. We present an exploratory study of a system designed to support collaborative visual analysis tasks on a digital tabletop display. Fifteen participant pairs employed Cambiera, a visual analytics system, to solve a problem involving 240 digital documents. Our analysis, supported by observations, system logs, questionnaires, and interview data, explores how pairs approached the problem around the table. We contribute a unique, rich understanding of how users worked together around the table and identify eight types of collaboration styles that can be used to identify how closely people work together while problem solving. We show how the closeness of teams' collaboration and communication influenced how they performed on the task overall. We further discuss the role of the tabletop for visual analytics tasks and derive design implications for future co-located collaborative tabletop problem solving systems.", "title": "Co-Located Collaborative Visual Analytics around a Tabletop Display", "normalizedTitle": "Co-Located Collaborative Visual Analytics around a Tabletop Display", "fno": "ttg2012050689", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Problem Solving", "Computer Displays", "Data Analysis", "Data Visualisation", "Groupware", "Problem Solving Systems", "Colocated Collaborative Visual Analytics", "Complex Visual Analytics Task", "Digital Tabletop Display", "Cambiera System", "Observations", "System Logs", "Questionnaires", "Interview Data", "Collaboration Style", "Team Collaboration", "Team Communication", "Collaboration", "Visual Analytics", "Data Visualization", "Problem Solving", "Collaborative Work", "Context", "Keyboards", "Complex Problem Solving", "Co Located Collaboration", "Tabletop Displays", "Collaborative Information Visualization" ], "authors": [ { "givenName": "P.", "surname": "Isenberg", "fullName": "P. Isenberg", "affiliation": "INRIA, Univ. Paris-Sud, Orsay, France", "__typename": "ArticleAuthorType" }, { "givenName": "D.", "surname": "Fisher", "fullName": "D. Fisher", "affiliation": "Microsoft Res., Redmond, WA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "S. A.", "surname": "Paul", "fullName": "S. A. Paul", "affiliation": "Palo Alto Res. Center, Palo Alto, CA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "M. R.", "surname": "Morris", "fullName": "M. R. Morris", "affiliation": "Microsoft Res., Redmond, WA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "K.", "surname": "Inkpen", "fullName": "K. Inkpen", "affiliation": "Microsoft Res., Redmond, WA, USA", "__typename": "ArticleAuthorType" }, { "givenName": "M.", "surname": "Czerwinski", "fullName": "M. Czerwinski", "affiliation": "Microsoft Res., Redmond, WA, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2012-05-01 00:00:00", "pubType": "trans", "pages": "689-702", "year": "2012", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/tabletop/2006/2494/0/24940043", "title": "Disoriented Pen-Gestures for Identifying Users around the Tabletop without Cameras and Motion Sensors", "doi": null, "abstractUrl": "/proceedings-article/tabletop/2006/24940043/12OmNAY79hL", "parentPublication": { "id": "proceedings/tabletop/2006/2494/0", "title": "First IEEE International Workshop on Horizontal Interactive Human-Computer Systems 2006", "__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/tabletop/2006/2494/0/24940177", "title": "Direct Intentions: The Effects of Input Devices on Collaboration around a Tabletop Display", "doi": null, "abstractUrl": "/proceedings-article/tabletop/2006/24940177/12OmNwHQB3z", "parentPublication": { "id": "proceedings/tabletop/2006/2494/0", "title": "First IEEE International Workshop on Horizontal Interactive Human-Computer Systems 2006", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2012/12/ttg2012122908", "title": "The User Puzzle—Explaining the Interaction with Visual Analytics Systems", "doi": null, "abstractUrl": "/journal/tg/2012/12/ttg2012122908/13rRUIIVlcH", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2006/05/mcg2006050065", "title": "Mediating Group Dynamics through Tabletop Interface Design", "doi": null, "abstractUrl": "/magazine/cg/2006/05/mcg2006050065/13rRUxC0SRg", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2005/04/mcg2005040058", "title": "Storage Bins: Mobile Storage for Collaborative Tabletop Displays", "doi": null, "abstractUrl": "/magazine/cg/2005/04/mcg2005040058/13rRUxNmPGl", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2005/01/mcg2005010048", "title": "Lumisight Table: An Interactive View-Dependent Tabletop Display", "doi": null, "abstractUrl": "/magazine/cg/2005/01/mcg2005010048/13rRUxjQyxE", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/02/09229116", "title": "Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics", "doi": null, "abstractUrl": "/journal/tg/2021/02/09229116/1o3nxDL2TGU", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__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": "ttg2012050675", "articleId": "13rRUx0xPTO", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2012050703", "articleId": "13rRUIM2VH1", "__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": "13rRUynHuj4", "doi": "10.1109/TVCG.2009.162", "abstract": "Large multi-touch displays are expanding the possibilities of multiple-coordinated views by allowing multiple people to interact with data in concert or independently. We present Lark, a system that facilitates the coordination of interactions with information visualizations on shared digital workspaces. We focus on supporting this coordination according to four main criteria: scoped interaction, temporal flexibility, spatial flexibility, and changing collaboration styles. These are achieved by integrating a representation of the information visualization pipeline into the shared workspace, thus explicitly indicating coordination points on data, representation, presentation, and view levels. This integrated meta-visualization supports both the awareness of how views are linked and the freedom to work in concert or independently. Lark incorporates these four main criteria into a coherent visualization collaboration interaction environment by providing direct visual and algorithmic support for the coordination of data analysis actions over shared large displays.", "abstracts": [ { "abstractType": "Regular", "content": "Large multi-touch displays are expanding the possibilities of multiple-coordinated views by allowing multiple people to interact with data in concert or independently. We present Lark, a system that facilitates the coordination of interactions with information visualizations on shared digital workspaces. We focus on supporting this coordination according to four main criteria: scoped interaction, temporal flexibility, spatial flexibility, and changing collaboration styles. These are achieved by integrating a representation of the information visualization pipeline into the shared workspace, thus explicitly indicating coordination points on data, representation, presentation, and view levels. This integrated meta-visualization supports both the awareness of how views are linked and the freedom to work in concert or independently. Lark incorporates these four main criteria into a coherent visualization collaboration interaction environment by providing direct visual and algorithmic support for the coordination of data analysis actions over shared large displays.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Large multi-touch displays are expanding the possibilities of multiple-coordinated views by allowing multiple people to interact with data in concert or independently. We present Lark, a system that facilitates the coordination of interactions with information visualizations on shared digital workspaces. We focus on supporting this coordination according to four main criteria: scoped interaction, temporal flexibility, spatial flexibility, and changing collaboration styles. These are achieved by integrating a representation of the information visualization pipeline into the shared workspace, thus explicitly indicating coordination points on data, representation, presentation, and view levels. This integrated meta-visualization supports both the awareness of how views are linked and the freedom to work in concert or independently. Lark incorporates these four main criteria into a coherent visualization collaboration interaction environment by providing direct visual and algorithmic support for the coordination of data analysis actions over shared large displays.", "title": "Lark: Coordinating Co-located Collaboration with Information Visualization", "normalizedTitle": "Lark: Coordinating Co-located Collaboration with Information Visualization", "fno": "ttg2009061065", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Information Visualization", "Meta Visualization", "Collaboration", "Coordination", "Co Located Work", "Workspace Awareness" ], "authors": [ { "givenName": "Matthew", "surname": "Tobiasz", "fullName": "Matthew Tobiasz", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Petra", "surname": "Isenberg", "fullName": "Petra Isenberg", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" }, { "givenName": "Sheelagh", "surname": "Carpendale", "fullName": "Sheelagh Carpendale", "affiliation": "University of Calgary", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2009-11-01 00:00:00", "pubType": "trans", "pages": "1065-1072", "year": "2009", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/wetice/1997/7967/0/79670121", "title": "Coordinating Java Agents with Multiple Coordination Language on the Berlinda Platform", "doi": null, "abstractUrl": "/proceedings-article/wetice/1997/79670121/12OmNAtst7s", "parentPublication": { "id": "proceedings/wetice/1997/7967/0", "title": "Proceedings of IEEE 6th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vast/2015/9783/0/07347628", "title": "Four considerations for supporting visual analysis in display ecologies", "doi": null, "abstractUrl": "/proceedings-article/vast/2015/07347628/12OmNBcAGLj", "parentPublication": { "id": "proceedings/vast/2015/9783/0", "title": "2015 IEEE Conference on Visual Analytics Science and Technology (VAST)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-infovis/2004/8779/0/87790159", "title": "Building Highly-Coordinated Visualizations in Improvise", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2004/87790159/12OmNqBtiFh", "parentPublication": { "id": "proceedings/ieee-infovis/2004/8779/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cse/2009/3823/4/3823e697", "title": "Co-located Many-Player Gaming on Large High-Resolution Displays", "doi": null, "abstractUrl": "/proceedings-article/cse/2009/3823e697/12OmNsbY6TV", "parentPublication": { "id": "proceedings/cse/2009/3823/2", "title": "2009 International Conference on Computational Science and Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iscst/2005/2387/0/01553317", "title": "Visualization of interactions in an online collaboration environment", "doi": null, "abstractUrl": "/proceedings-article/iscst/2005/01553317/12OmNwwMeWb", "parentPublication": { "id": "proceedings/iscst/2005/2387/0", "title": "2005 International Symposium on Collaborative Technologies and Systems", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icsme/2014/6146/0/6146a645", "title": "Reflections on Collaborative Software Visualization in Co-located Environments", "doi": null, "abstractUrl": "/proceedings-article/icsme/2014/6146a645/12OmNxb5hy3", "parentPublication": { "id": "proceedings/icsme/2014/6146/0", "title": "2014 IEEE International Conference on Software Maintenance and Evolution (ICSME)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cit-iucc-dasc-picom/2015/0154/0/07363376", "title": "Pervasive Information Visualization: Toward an Information Visualization Design Methodology for Multi-device Co-located Synchronous Collaboration", "doi": null, "abstractUrl": "/proceedings-article/cit-iucc-dasc-picom/2015/07363376/12OmNyNQSOX", "parentPublication": { "id": "proceedings/cit-iucc-dasc-picom/2015/0154/0", "title": "2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/etcs/2009/3557/3/3557e247", "title": "Related Issues of Power System Visualization", "doi": null, "abstractUrl": "/proceedings-article/etcs/2009/3557e247/12OmNzTH11o", "parentPublication": { "id": "proceedings/etcs/2009/3557/3", "title": "Education Technology and Computer Science, International Workshop on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08017609", "title": "VisTiles: Coordinating and Combining Co-located Mobile Devices for Visual Data Exploration", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017609/13rRUwbaqUT", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1232", "title": "Interactive Tree Comparison for Co-located Collaborative Information Visualization", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1232/13rRUxcKzVg", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2009061177", "articleId": "13rRUyY28Yo", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2009061073", "articleId": "13rRUxYrbM9", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "17ShDTYesXW", "name": "ttg2009061065s.mov", "location": "https://www.computer.org/csdl/api/v1/extra/ttg2009061065s.mov", "extension": "mov", "size": "21.1 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": "1nTqW9mGTrG", "doi": "10.1109/TVCG.2020.3030450", "abstract": "Immersive technologies offer new opportunities to support collaborative visual data analysis by providing each collaborator a personal, high-resolution view of a flexible shared visualisation space through a head mounted display. However, most prior studies of collaborative immersive analytics have focused on how groups interact with surface interfaces such as tabletops and wall displays. This paper reports on a study in which teams of three co-located participants are given flexible visualisation authoring tools to allow a great deal of control in how they structure their shared workspace. They do so using a prototype system we call FIESTA: the Free-roaming Immersive Environment to Support Team-based Analysis. Unlike traditional visualisation tools, FIESTA allows users to freely position authoring interfaces and visualisation artefacts anywhere in the virtual environment, either on virtual surfaces or suspended within the interaction space. Our participants solved visual analytics tasks on a multivariate data set, doing so individually and collaboratively by creating a large number of 2D and 3D visualisations. Their behaviours suggest that the usage of surfaces is coupled with the type of visualisation used, often using walls to organise 2D visualisations, but positioning 3D visualisations in the space around them. Outside of tightly-coupled collaboration, participants followed social protocols and did not interact with visualisations that did not belong to them even if outside of its owner's personal workspace.", "abstracts": [ { "abstractType": "Regular", "content": "Immersive technologies offer new opportunities to support collaborative visual data analysis by providing each collaborator a personal, high-resolution view of a flexible shared visualisation space through a head mounted display. However, most prior studies of collaborative immersive analytics have focused on how groups interact with surface interfaces such as tabletops and wall displays. This paper reports on a study in which teams of three co-located participants are given flexible visualisation authoring tools to allow a great deal of control in how they structure their shared workspace. They do so using a prototype system we call FIESTA: the Free-roaming Immersive Environment to Support Team-based Analysis. Unlike traditional visualisation tools, FIESTA allows users to freely position authoring interfaces and visualisation artefacts anywhere in the virtual environment, either on virtual surfaces or suspended within the interaction space. Our participants solved visual analytics tasks on a multivariate data set, doing so individually and collaboratively by creating a large number of 2D and 3D visualisations. Their behaviours suggest that the usage of surfaces is coupled with the type of visualisation used, often using walls to organise 2D visualisations, but positioning 3D visualisations in the space around them. Outside of tightly-coupled collaboration, participants followed social protocols and did not interact with visualisations that did not belong to them even if outside of its owner's personal workspace.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Immersive technologies offer new opportunities to support collaborative visual data analysis by providing each collaborator a personal, high-resolution view of a flexible shared visualisation space through a head mounted display. However, most prior studies of collaborative immersive analytics have focused on how groups interact with surface interfaces such as tabletops and wall displays. This paper reports on a study in which teams of three co-located participants are given flexible visualisation authoring tools to allow a great deal of control in how they structure their shared workspace. They do so using a prototype system we call FIESTA: the Free-roaming Immersive Environment to Support Team-based Analysis. Unlike traditional visualisation tools, FIESTA allows users to freely position authoring interfaces and visualisation artefacts anywhere in the virtual environment, either on virtual surfaces or suspended within the interaction space. Our participants solved visual analytics tasks on a multivariate data set, doing so individually and collaboratively by creating a large number of 2D and 3D visualisations. Their behaviours suggest that the usage of surfaces is coupled with the type of visualisation used, often using walls to organise 2D visualisations, but positioning 3D visualisations in the space around them. Outside of tightly-coupled collaboration, participants followed social protocols and did not interact with visualisations that did not belong to them even if outside of its owner's personal workspace.", "title": "Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment", "normalizedTitle": "Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment", "fno": "09222346", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Analysis", "Data Visualisation", "Groupware", "Helmet Mounted Displays", "Virtual Reality", "Collaborative Data Visualisation", "Collaborative Visual Data Analysis", "Personal Resolution View", "High Resolution View", "Flexible Shared Visualisation Space", "Collaborative Immersive Analytics", "Group Interaction", "Surface Interfaces", "Wall Displays", "Flexible Visualisation Authoring Tools", "FIESTA", "Virtual Environment", "Interaction Space", "Visual Analytics Tasks", "Multivariate Data", "Tightly Coupled Collaboration", "Team Based Analysis", "Free Roaming Immersive Environment", "3 D Visualisations", "2 D Visualisations", "Head Mounted Display", "Data Visualization", "Collaboration", "Three Dimensional Displays", "Task Analysis", "Two Dimensional Displays", "Microsoft Windows", "Virtual Environments", "Immersive Analytics", "Collaboration", "Virtual Reality", "Qualitative Study", "Multivariate Data" ], "authors": [ { "givenName": "Benjamin", "surname": "Lee", "fullName": "Benjamin Lee", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Xiaoyun", "surname": "Hu", "fullName": "Xiaoyun Hu", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Maxime", "surname": "Cordeil", "fullName": "Maxime Cordeil", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Arnaud", "surname": "Prouzeau", "fullName": "Arnaud Prouzeau", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Bernhard", "surname": "Jenny", "fullName": "Bernhard Jenny", "affiliation": "Monash University", "__typename": "ArticleAuthorType" }, { "givenName": "Tim", "surname": "Dwyer", "fullName": "Tim Dwyer", "affiliation": "Monash University", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2021-02-01 00:00:00", "pubType": "trans", "pages": "1171-1181", "year": "2021", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/pacificvis/2017/5738/0/08031578", "title": "Design space for spatio-data coordination: Tangible interaction devices for immersive information visualisation", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2017/08031578/12OmNC36tNM", "parentPublication": { "id": "proceedings/pacificvis/2017/5738/0", "title": "2017 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2017/01/07539620", "title": "Immersive Collaborative Analysis of Network Connectivity: CAVE-style or Head-Mounted Display?", "doi": null, "abstractUrl": "/journal/tg/2017/01/07539620/13rRUwcS1D0", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bdva/2018/9194/0/08533893", "title": "Building Multiple Coordinated Spaces for Effective Immersive Analytics through Distributed Cognition", "doi": null, "abstractUrl": "/proceedings-article/bdva/2018/08533893/17D45Wuc3a3", "parentPublication": { "id": "proceedings/bdva/2018/9194/0", "title": "2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)", "__typename": "ParentPublication" }, "__typename": 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"abstractUrl": "/proceedings-article/vrw/2022/840200a580/1CJenv6SXTO", "parentPublication": { "id": "proceedings/vrw/2022/8402/0", "title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vrw/2022/8402/0/840200a980", "title": "Demonstrating Immersive Gesture Exploration with GestureExplorer", "doi": null, "abstractUrl": "/proceedings-article/vrw/2022/840200a980/1CJfhwAA4Bq", "parentPublication": { "id": "proceedings/vrw/2022/8402/0", "title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2019/1377/0/08797978", "title": "IATK: An Immersive Analytics Toolkit", "doi": null, "abstractUrl": "/proceedings-article/vr/2019/08797978/1cJ0GweguUo", "parentPublication": { "id": 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{ "issue": { "id": "12OmNyeWdDc", "title": "May", "year": "2014", "issueNum": "05", "idPrefix": "tg", "pubType": "journal", "volume": "20", "label": "May", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxBrGgZ", "doi": "10.1109/TVCG.2013.254", "abstract": "Identifying, tracking and understanding changes in dynamic networks are complex and cognitively demanding tasks. We present GraphDiaries, a visual interface designed to improve support for these tasks in any node-link based graph visualization system. GraphDiaries relies on animated transitions that highlight changes in the network between time steps, thus helping users identify and understand those changes. To better understand the tasks related to the exploration of dynamic networks, we first introduce a task taxonomy, that informs the design of GraphDiaries, presented afterwards. We then report on a user study, based on representative tasks identified through the taxonomy, and that compares GraphDiaries to existing techniques for temporal navigation in dynamic networks, showing that it outperforms them in terms of both task time and errors for several of these tasks.", "abstracts": [ { "abstractType": "Regular", "content": "Identifying, tracking and understanding changes in dynamic networks are complex and cognitively demanding tasks. We present GraphDiaries, a visual interface designed to improve support for these tasks in any node-link based graph visualization system. GraphDiaries relies on animated transitions that highlight changes in the network between time steps, thus helping users identify and understand those changes. To better understand the tasks related to the exploration of dynamic networks, we first introduce a task taxonomy, that informs the design of GraphDiaries, presented afterwards. We then report on a user study, based on representative tasks identified through the taxonomy, and that compares GraphDiaries to existing techniques for temporal navigation in dynamic networks, showing that it outperforms them in terms of both task time and errors for several of these tasks.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Identifying, tracking and understanding changes in dynamic networks are complex and cognitively demanding tasks. We present GraphDiaries, a visual interface designed to improve support for these tasks in any node-link based graph visualization system. GraphDiaries relies on animated transitions that highlight changes in the network between time steps, thus helping users identify and understand those changes. To better understand the tasks related to the exploration of dynamic networks, we first introduce a task taxonomy, that informs the design of GraphDiaries, presented afterwards. We then report on a user study, based on representative tasks identified through the taxonomy, and that compares GraphDiaries to existing techniques for temporal navigation in dynamic networks, showing that it outperforms them in terms of both task time and errors for several of these tasks.", "title": "GraphDiaries: Animated Transitions and Temporal Navigation for Dynamic Networks", "normalizedTitle": "GraphDiaries: Animated Transitions and Temporal Navigation for Dynamic Networks", "fno": "06658746", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Visualization", "Layout", "Animation", "Taxonomy", "Navigation", "Topology", "Complexity Theory", "User Experiment", "Dynamic Networks", "Graph Visualization", "Temporal Navigation" ], "authors": [ { "givenName": "Benjamin", "surname": "Bach", "fullName": "Benjamin Bach", "affiliation": "INRIA, Saclay , France", "__typename": "ArticleAuthorType" }, { "givenName": "Emmanuel", "surname": "Pietriga", "fullName": "Emmanuel Pietriga", "affiliation": "INRIA, Saclay, France and INRIA Chile-CIRIC, Santiago, Chile", "__typename": "ArticleAuthorType" }, { "givenName": "Jean-Daniel", "surname": "Fekete", "fullName": "Jean-Daniel Fekete", "affiliation": "INRIA, Saclay , France", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "05", "pubDate": "2014-05-01 00:00:00", "pubType": "trans", "pages": "740-754", "year": "2014", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "trans/tg/2018/09/08031015", "title": "A Vector Field Design Approach to Animated Transitions", "doi": null, "abstractUrl": "/journal/tg/2018/09/08031015/13rRUB7a117", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1240", "title": "Animated Transitions in Statistical Data Graphics", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1240/13rRUxNW1TO", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/ic/2017/04/mic2017040054", "title": "Internet-Based Indoor Navigation Services", "doi": null, "abstractUrl": "/magazine/ic/2017/04/mic2017040054/13rRUyhaIir", "parentPublication": { "id": "mags/ic", "title": "IEEE Internet Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09903295", "title": "LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies", "doi": null, "abstractUrl": "/journal/tg/2023/01/09903295/1GZokLgYdTW", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09914804", "title": "Animated Vega-Lite: Unifying Animation with a Grammar of Interactive Graphics", "doi": null, "abstractUrl": "/journal/tg/2023/01/09914804/1Hmgc5h7Clq", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08805431", "title": "Common Fate for Animated Transitions in Visualization", "doi": null, "abstractUrl": "/journal/tg/2020/01/08805431/1cG4F76usA8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/02/09222301", "title": "The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays", "doi": null, "abstractUrl": "/journal/tg/2021/02/09222301/1nTrDxA09TG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/02/09231268", "title": "Staged Animation Strategies for Online Dynamic Networks", "doi": null, "abstractUrl": "/journal/tg/2021/02/09231268/1o3nyGexOvu", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdm/2020/8316/0/831600a721", "title": "Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks", "doi": null, "abstractUrl": "/proceedings-article/icdm/2020/831600a721/1r54IXOTRSg", "parentPublication": { "id": "proceedings/icdm/2020/8316/0", "title": "2020 IEEE International Conference on Data Mining (ICDM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2021/3335/0/333500a201", "title": "Gemini<sup>2</sup>: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics", "doi": null, "abstractUrl": "/proceedings-article/vis/2021/333500a201/1yXuksPe8ne", "parentPublication": { "id": "proceedings/vis/2021/3335/0", "title": "2021 IEEE Visualization Conference (VIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "06687159", "articleId": "13rRUyfbwqK", "__typename": "AdjacentArticleType" }, "next": { "fno": "06684141", "articleId": "13rRUy3gn7x", "__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": "1cG4F76usA8", "doi": "10.1109/TVCG.2019.2934288", "abstract": "The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than mere velocity; in this paper we explore how common fate results from coordinated changes in luminance and size. We present results from a crowdsourced graphical perception study where we asked workers to make perceptual judgments on a series of trials involving four graphical objects under the influence of conflicting static and dynamic visual factors (position, size and luminance) used in conjunction. Our results yield the following rankings for visual grouping: motion&gt; (dynamic luminance, size, luminance); dynamic size&gt; (dynamic luminance, position); and dynamic luminance &gt; size. We also conducted a follow-up experiment to evaluate the three dynamic visual factors in a more ecologically valid setting, using both a Gapminder-like animated scatterplot and a thematic map of election data. The results indicate that in practice the relative grouping strengths of these factors may depend on various parameters including the visualization characteristics and the underlying data. We discuss design implications for animated transitions in data visualization.", "abstracts": [ { "abstractType": "Regular", "content": "The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than mere velocity; in this paper we explore how common fate results from coordinated changes in luminance and size. We present results from a crowdsourced graphical perception study where we asked workers to make perceptual judgments on a series of trials involving four graphical objects under the influence of conflicting static and dynamic visual factors (position, size and luminance) used in conjunction. Our results yield the following rankings for visual grouping: motion&gt; (dynamic luminance, size, luminance); dynamic size&gt; (dynamic luminance, position); and dynamic luminance &gt; size. We also conducted a follow-up experiment to evaluate the three dynamic visual factors in a more ecologically valid setting, using both a Gapminder-like animated scatterplot and a thematic map of election data. The results indicate that in practice the relative grouping strengths of these factors may depend on various parameters including the visualization characteristics and the underlying data. We discuss design implications for animated transitions in data visualization.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than mere velocity; in this paper we explore how common fate results from coordinated changes in luminance and size. We present results from a crowdsourced graphical perception study where we asked workers to make perceptual judgments on a series of trials involving four graphical objects under the influence of conflicting static and dynamic visual factors (position, size and luminance) used in conjunction. Our results yield the following rankings for visual grouping: motion> (dynamic luminance, size, luminance); dynamic size> (dynamic luminance, position); and dynamic luminance > size. We also conducted a follow-up experiment to evaluate the three dynamic visual factors in a more ecologically valid setting, using both a Gapminder-like animated scatterplot and a thematic map of election data. The results indicate that in practice the relative grouping strengths of these factors may depend on various parameters including the visualization characteristics and the underlying data. We discuss design implications for animated transitions in data visualization.", "title": "Common Fate for Animated Transitions in Visualization", "normalizedTitle": "Common Fate for Animated Transitions in Visualization", "fno": "08805431", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Computer Animation", "Data Visualisation", "Visual Perception", "Graphical Objects", "Visual Factors", "Visual Grouping", "Dynamic Luminance", "Dynamic Size", "Animated Transitions", "Data Visualization", "Gestalt Psychology", "Graphical Perception", "Visualization", "Animation", "Data Visualization", "Psychology", "Dynamics", "Visual Perception", "Trajectory", "Gestalt Laws", "Common Fate", "Animated Transitions", "Evaluation", "Motion" ], "authors": [ { "givenName": "Amira", "surname": "Chalbi", "fullName": "Amira Chalbi", "affiliation": "Inria, France", "__typename": "ArticleAuthorType" }, { "givenName": "Jacob", "surname": "Ritchie", "fullName": "Jacob Ritchie", "affiliation": "University of Toronto in Toronto, Canada", "__typename": "ArticleAuthorType" }, { "givenName": "Deokgun", "surname": "Park", "fullName": "Deokgun Park", "affiliation": "University of Texas, Arlington, TX, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Jungu", "surname": "Choi", "fullName": "Jungu Choi", "affiliation": "Purdue University, West Lafayette, IN, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Nicolas", "surname": "Roussel", "fullName": "Nicolas Roussel", "affiliation": "Inria, France", "__typename": "ArticleAuthorType" }, { "givenName": "Niklas", "surname": "Elmqvist", "fullName": "Niklas Elmqvist", "affiliation": "University of Maryland, College Park, MD, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Fanny", "surname": "Chevalier", "fullName": "Fanny Chevalier", "affiliation": "University of Toronto in Toronto, Canada", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "01", "pubDate": "2020-01-01 00:00:00", "pubType": "trans", "pages": "386-396", "year": "2020", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2015/7568/0/7568a075", "title": "FATuM - Fast Animated Transitions Using Multi-buffers", "doi": null, "abstractUrl": "/proceedings-article/iv/2015/7568a075/12OmNs59JK1", "parentPublication": { "id": "proceedings/iv/2015/7568/0", "title": "2015 19th International Conference on Information Visualisation (iV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2001/1195/0/11950317", "title": "Animated Illuminated Lines for Flow Visualization", "doi": null, "abstractUrl": "/proceedings-article/iv/2001/11950317/12OmNwBT1mq", "parentPublication": { "id": "proceedings/iv/2001/1195/0", "title": "Proceedings Fifth International Conference on Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-infovis/2003/2055/0/20550024", "title": "Causality Visualization Using Animated Growing Polygons", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2003/20550024/12OmNwMXntl", "parentPublication": { "id": "proceedings/ieee-infovis/2003/2055/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2000/0743/0/07430434", "title": "Animated Texture Alpha-Masks for Flow Visualization", "doi": null, "abstractUrl": "/proceedings-article/iv/2000/07430434/12OmNwp74Bm", "parentPublication": { "id": "proceedings/iv/2000/0743/0", "title": "2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2009/3733/0/3733a598", "title": "Slices of Time - Appraising the Use of Dynamics in Design", "doi": null, "abstractUrl": "/proceedings-article/iv/2009/3733a598/12OmNxRnvSe", "parentPublication": { "id": "proceedings/iv/2009/3733/0", "title": "2009 13th International Conference Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/09/08031015", "title": "A Vector Field Design Approach to Animated Transitions", "doi": null, "abstractUrl": "/journal/tg/2018/09/08031015/13rRUB7a117", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/05/06658746", "title": "GraphDiaries: Animated Transitions and Temporal Navigation for Dynamic Networks", "doi": null, "abstractUrl": "/journal/tg/2014/05/06658746/13rRUxBrGgZ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/12/06876010", "title": "The Not-so-Staggering Effect of Staggered Animated Transitions on Visual Tracking", "doi": null, "abstractUrl": "/journal/tg/2014/12/06876010/13rRUxD9gXK", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1240", "title": "Animated Transitions in Statistical Data Graphics", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1240/13rRUxNW1TO", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/02/09234027", "title": "Gemini: A Grammar and Recommender System for Animated Transitions in Statistical Graphics", "doi": null, "abstractUrl": "/journal/tg/2021/02/09234027/1o531wbxsSk", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "08809223", "articleId": "1cFV3t4YaVa", "__typename": "AdjacentArticleType" }, "next": { "fno": "08795584", "articleId": "1csHUeq7TB6", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "1fe9r9xUwp2", "name": "ttg202001-08805431s1.zip", "location": "https://www.computer.org/csdl/api/v1/extra/ttg202001-08805431s1.zip", "extension": "zip", "size": "111 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": "1o531wbxsSk", "doi": "10.1109/TVCG.2020.3030360", "abstract": "Animated transitions help viewers follow changes between related visualizations. Specifying effective animations demands significant effort: authors must select the elements and properties to animate, provide transition parameters, and coordinate the timing of stages. To facilitate this process, we present Gemini, a declarative grammar and recommendation system for animated transitions between single-view statistical graphics. Gemini specifications define transition &#x201C;steps&#x201D; in terms of high-level visual components (marks, axes, legends) and composition rules to synchronize and concatenate steps. With this grammar, Gemini can recommend animation designs to augment and accelerate designers' work. Gemini enumerates staged animation designs for given start and end states, and ranks those designs using a cost function informed by prior perceptual studies. To evaluate Gemini, we conduct both a formative study on Mechanical Turk to assess and tune our ranking function, and a summative study in which 8 experienced visualization developers implement animations in D3 that we then compare to Gemini's suggestions. We find that most designs (9/11) are exactly replicable in Gemini, with many (8/11) achievable via edits to suggestions, and that Gemini suggestions avoid multiple participant errors.", "abstracts": [ { "abstractType": "Regular", "content": "Animated transitions help viewers follow changes between related visualizations. Specifying effective animations demands significant effort: authors must select the elements and properties to animate, provide transition parameters, and coordinate the timing of stages. To facilitate this process, we present Gemini, a declarative grammar and recommendation system for animated transitions between single-view statistical graphics. Gemini specifications define transition &#x201C;steps&#x201D; in terms of high-level visual components (marks, axes, legends) and composition rules to synchronize and concatenate steps. With this grammar, Gemini can recommend animation designs to augment and accelerate designers' work. Gemini enumerates staged animation designs for given start and end states, and ranks those designs using a cost function informed by prior perceptual studies. To evaluate Gemini, we conduct both a formative study on Mechanical Turk to assess and tune our ranking function, and a summative study in which 8 experienced visualization developers implement animations in D3 that we then compare to Gemini's suggestions. We find that most designs (9/11) are exactly replicable in Gemini, with many (8/11) achievable via edits to suggestions, and that Gemini suggestions avoid multiple participant errors.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Animated transitions help viewers follow changes between related visualizations. Specifying effective animations demands significant effort: authors must select the elements and properties to animate, provide transition parameters, and coordinate the timing of stages. To facilitate this process, we present Gemini, a declarative grammar and recommendation system for animated transitions between single-view statistical graphics. Gemini specifications define transition “steps” in terms of high-level visual components (marks, axes, legends) and composition rules to synchronize and concatenate steps. With this grammar, Gemini can recommend animation designs to augment and accelerate designers' work. Gemini enumerates staged animation designs for given start and end states, and ranks those designs using a cost function informed by prior perceptual studies. To evaluate Gemini, we conduct both a formative study on Mechanical Turk to assess and tune our ranking function, and a summative study in which 8 experienced visualization developers implement animations in D3 that we then compare to Gemini's suggestions. We find that most designs (9/11) are exactly replicable in Gemini, with many (8/11) achievable via edits to suggestions, and that Gemini suggestions avoid multiple participant errors.", "title": "Gemini: A Grammar and Recommender System for Animated Transitions in Statistical Graphics", "normalizedTitle": "Gemini: A Grammar and Recommender System for Animated Transitions in Statistical Graphics", "fno": "09234027", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Computer Animation", "Data Visualisation", "Grammars", "Recommender Systems", "Statistical Analysis", "Recommender System", "Animated Transitions", "Effective Animations", "Animate", "Transition Parameters", "Declarative Grammar", "Recommendation System", "Single View Statistical Graphics", "Gemini Specifications Define Transition Steps", "Animation Designs", "Gemini Suggestions", "D 3", "Animation", "Data Visualization", "Grammar", "Visualization", "Timing", "Task Analysis", "Animated Transition", "Animation", "Transition", "Declarative Grammar", "Automated Design", "Charts" ], "authors": [ { "givenName": "Younghoon", "surname": "Kim", "fullName": "Younghoon Kim", "affiliation": "University of Washington", "__typename": "ArticleAuthorType" }, { "givenName": "Jeffrey", "surname": "Heer", "fullName": "Jeffrey Heer", "affiliation": "University of Washington", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2021-02-01 00:00:00", "pubType": "trans", "pages": "485-494", "year": "2021", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2015/7568/0/7568a075", "title": "FATuM - Fast Animated Transitions Using Multi-buffers", "doi": null, "abstractUrl": "/proceedings-article/iv/2015/7568a075/12OmNs59JK1", "parentPublication": { "id": "proceedings/iv/2015/7568/0", "title": "2015 19th International Conference on Information Visualisation (iV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/09/08031015", "title": "A Vector Field Design Approach to Animated Transitions", "doi": null, "abstractUrl": "/journal/tg/2018/09/08031015/13rRUB7a117", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/05/06658746", "title": "GraphDiaries: Animated Transitions and Temporal Navigation for Dynamic Networks", "doi": null, "abstractUrl": "/journal/tg/2014/05/06658746/13rRUxBrGgZ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/12/06876010", "title": "The Not-so-Staggering Effect of Staggered Animated Transitions on Visual Tracking", "doi": null, "abstractUrl": "/journal/tg/2014/12/06876010/13rRUxD9gXK", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1240", "title": "Animated Transitions in Statistical Data Graphics", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1240/13rRUxNW1TO", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mobilesoft/2018/5712/0/571200a224", "title": "P2A: A Tool for Converting Pixels to Animated Mobile Application User Interfaces", "doi": null, "abstractUrl": "/proceedings-article/mobilesoft/2018/571200a224/17D45WHONsO", "parentPublication": { "id": "proceedings/mobilesoft/2018/5712/0", "title": "2018 IEEE/ACM 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2023/01/09914804", "title": "Animated Vega-Lite: Unifying Animation with a Grammar of Interactive Graphics", "doi": null, "abstractUrl": "/journal/tg/2023/01/09914804/1Hmgc5h7Clq", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2020/01/08805431", "title": "Common Fate for Animated Transitions in Visualization", "doi": null, "abstractUrl": "/journal/tg/2020/01/08805431/1cG4F76usA8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2020/8014/0/801400a141", "title": "Improving Engagement of Animated Visualization with Visual Foreshadowing", "doi": null, "abstractUrl": "/proceedings-article/vis/2020/801400a141/1qRNNrMSIrm", "parentPublication": { "id": "proceedings/vis/2020/8014/0", "title": "2020 IEEE Visualization Conference (VIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2021/3335/0/333500a201", "title": "Gemini<sup>2</sup>: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics", "doi": null, "abstractUrl": "/proceedings-article/vis/2021/333500a201/1yXuksPe8ne", "parentPublication": { "id": "proceedings/vis/2021/3335/0", "title": "2021 IEEE Visualization Conference (VIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "09222351", "articleId": "1nTq353vBNS", "__typename": "AdjacentArticleType" }, "next": { "fno": "09222280", "articleId": "1nTqVJBaroA", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [ { "id": "1qLelyt4eti", "name": "ttg202102-09234027s1-tvcg-3030360-mm.zip", "location": "https://www.computer.org/csdl/api/v1/extra/ttg202102-09234027s1-tvcg-3030360-mm.zip", "extension": "zip", "size": "93 MB", "__typename": "WebExtraType" } ], "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": "13rRUxNW1Zf", "doi": "10.1109/TVCG.2007.70528", "abstract": "Michotte's theory of ampliation suggests that causal relationships are perceived by objects animated under appropriate spatiotemporal conditions. We extend the theory of ampliation and propose that the immediate perception of complex causal relations is also dependent on a set of structural and temporal rules. We designed animated representations, based on Michotte's rules, for showing complex causal relationships or causal semantics. In this paper we describe a set of animations for showing semantics such as causal amplification, causal strength, causal dampening, and causal multiplicity. In a two part study we compared the effectiveness of both the static and animated representations. The first study (N=44) asked participants to recall passages that were previously displayed using both types of representations. Participants were 8% more accurate in recalling causal semantics when they were presented using animations instead of static graphs. In the second study (N=112) we evaluated the intuitiveness of the representations. Our results showed that while users were as accurate with the static graphs as with the animations, they were 9% faster in matching the correct causal statements in the animated condition. Overall our results show that animated diagrams that are designed based on perceptual rules such as those proposed by Michotte have the potential to facilitate comprehension of complex causal relations.", "abstracts": [ { "abstractType": "Regular", "content": "Michotte's theory of ampliation suggests that causal relationships are perceived by objects animated under appropriate spatiotemporal conditions. We extend the theory of ampliation and propose that the immediate perception of complex causal relations is also dependent on a set of structural and temporal rules. We designed animated representations, based on Michotte's rules, for showing complex causal relationships or causal semantics. In this paper we describe a set of animations for showing semantics such as causal amplification, causal strength, causal dampening, and causal multiplicity. In a two part study we compared the effectiveness of both the static and animated representations. The first study (N=44) asked participants to recall passages that were previously displayed using both types of representations. Participants were 8% more accurate in recalling causal semantics when they were presented using animations instead of static graphs. In the second study (N=112) we evaluated the intuitiveness of the representations. Our results showed that while users were as accurate with the static graphs as with the animations, they were 9% faster in matching the correct causal statements in the animated condition. Overall our results show that animated diagrams that are designed based on perceptual rules such as those proposed by Michotte have the potential to facilitate comprehension of complex causal relations.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Michotte's theory of ampliation suggests that causal relationships are perceived by objects animated under appropriate spatiotemporal conditions. We extend the theory of ampliation and propose that the immediate perception of complex causal relations is also dependent on a set of structural and temporal rules. We designed animated representations, based on Michotte's rules, for showing complex causal relationships or causal semantics. In this paper we describe a set of animations for showing semantics such as causal amplification, causal strength, causal dampening, and causal multiplicity. In a two part study we compared the effectiveness of both the static and animated representations. The first study (N=44) asked participants to recall passages that were previously displayed using both types of representations. Participants were 8% more accurate in recalling causal semantics when they were presented using animations instead of static graphs. In the second study (N=112) we evaluated the intuitiveness of the representations. Our results showed that while users were as accurate with the static graphs as with the animations, they were 9% faster in matching the correct causal statements in the animated condition. Overall our results show that animated diagrams that are designed based on perceptual rules such as those proposed by Michotte have the potential to facilitate comprehension of complex causal relations.", "title": "Visualizing Causal Semantics Using Animations", "normalizedTitle": "Visualizing Causal Semantics Using Animations", "fno": "04376148", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Behavioural Sciences Computing", "Computer Animation", "Data Visualisation", "Causal Semantics Visualization", "Animation", "Complex Causal Relations", "Michotte Rules", "Causal Amplification", "Causal Strength", "Causal Dampening", "Causal Multiplicity", "Static Graphs", "Visualization", "Animation", "Tires", "Spatiotemporal Phenomena", "Humans", "Iron", "Fires", "Motion Pictures", "Physics", "Uncertainty", "Causality", "Visualization", "Semantics", "Animated Graphs", "Perception", "Visualizing Cause And Effect", "Graph Semantics" ], "authors": [ { "givenName": "Nivedita", "surname": "Kadaba", "fullName": "Nivedita Kadaba", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Nivedita", "surname": "Kadaba", "fullName": "Nivedita Kadaba", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Nivedita", "surname": "Kadaba", "fullName": "Nivedita Kadaba", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Nivedita", "surname": "Kadaba", "fullName": "Nivedita Kadaba", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Pourang", "surname": "Irani", "fullName": "Pourang Irani", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Pourang", "surname": "Irani", "fullName": "Pourang Irani", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Pourang", "surname": "Irani", "fullName": "Pourang Irani", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Pourang", "surname": "Irani", "fullName": "Pourang Irani", "affiliation": "Department of Computer Science, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Jason", "surname": "Leboe", "fullName": "Jason Leboe", "affiliation": "Department of Psychology, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Jason", "surname": "Leboe", "fullName": "Jason Leboe", "affiliation": "Department of Psychology, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Jason", "surname": "Leboe", "fullName": "Jason Leboe", "affiliation": "Department of Psychology, University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Jason", "surname": "Leboe", "fullName": "Jason Leboe", "affiliation": "Department of Psychology, University of Manitoba", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1254-1261", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iccv/1993/3870/0/00378236", "title": "Looking for trouble: Using causal semantics to direct focus of attention", "doi": null, "abstractUrl": "/proceedings-article/iccv/1993/00378236/12OmNAfPIPs", "parentPublication": { "id": "proceedings/iccv/1993/3870/0", "title": "1993 (4th) International Conference on Computer Vision", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/fie/2006/0256/0/04117238", "title": "Work In Progress: Developing Tablet PC Animations for Computer Science Courses", "doi": null, "abstractUrl": "/proceedings-article/fie/2006/04117238/12OmNAoUTeZ", "parentPublication": { "id": "proceedings/fie/2006/0256/0", "title": "Proceedings. Frontiers in Education. 36th Annual Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vissoft/2013/1457/0/06650537", "title": "Visualizing constituent behaviors within executions", "doi": null, "abstractUrl": "/proceedings-article/vissoft/2013/06650537/12OmNBOllcZ", "parentPublication": { "id": "proceedings/vissoft/2013/1457/0", "title": "2013 First IEEE Working Conference on Software Visualization (VISSOFT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cw/2011/4467/0/4467a197", "title": "Using Image Morphing for Memory-Efficient Impostor Rendering on GPU", "doi": null, "abstractUrl": "/proceedings-article/cw/2011/4467a197/12OmNrGsDr4", "parentPublication": { "id": "proceedings/cw/2011/4467/0", "title": "2011 International Conference on Cyberworlds", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2005/2397/0/01509076", "title": "Visualizing time dependent semantics: an application to quantum algorithms", "doi": null, "abstractUrl": "/proceedings-article/iv/2005/01509076/12OmNvq5jGc", "parentPublication": { "id": "proceedings/iv/2005/2397/0", "title": "Ninth International Conference on Information Visualisation (IV'05)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2018/3365/0/08446364", "title": "Empirical Evaluation of Virtual Human Conversational and Affective Animations on Visual Attention in Inter-Personal Simulations", "doi": null, "abstractUrl": "/proceedings-article/vr/2018/08446364/13bd1hyoTxR", "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/2007/06/v1254", "title": "Visualizing Causal Semantics Using Animations", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1254/13rRUxBa5bL", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/lt/2010/02/tlt2010020139", "title": "Layered Architecture for Automatic Generation of Conflictive Animations in Programming Education", "doi": null, "abstractUrl": "/journal/lt/2010/02/tlt2010020139/13rRUynpT9H", "parentPublication": { "id": "trans/lt", "title": "IEEE Transactions on Learning Technologies", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/5555/01/09736612", "title": "Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation", "doi": null, "abstractUrl": "/journal/tk/5555/01/09736612/1BN1N0nHJPq", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/5555/01/09996555", "title": "Causal Inference for Knowledge Graph based Recommendation", "doi": null, "abstractUrl": "/journal/tk/5555/01/09996555/1Jju3tDSfkc", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "v1145", "articleId": "13rRUwgQpqG", "__typename": "AdjacentArticleType" }, "next": { "fno": "v1161", "articleId": "13rRUytF41u", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNvDqsVG", "title": "November/December", "year": "2007", "issueNum": "06", "idPrefix": "cg", "pubType": "magazine", "volume": "27", "label": "November/December", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwfqpIM", "doi": "10.1109/MCG.2007.155", "abstract": "To improve the visualization of large 3D landscapes and city models in a network environment, the authors use two different types of hierarchical level-of-detail models for terrain and groups of buildings. They also leverage the models to implement progressive streaming in both client-server and peer-to-peer network architectures. Visualizing large photorealistic 3D landscapes and city models has received significant attention over the last 10 years in the computer graphics community. More recently, the availability of broadband Internet access and Web-based visualization techniques is paving the way for large-scale 3D landscapes and city models for a variety of professional and mass-market services. To make such services appealing to a large audience, these 3D models must reach a sufficient level of realism and accuracy. Many solutions are now available to automatically generate 3D models of huge urban environments. Geographic information system (GIS) databases (such as terrain elevation grids, orthophotographs, and a building's footprint and height) provide a good basis for generating such models at affordable cost with minimum human intervention. In the future, the accuracy and realism of 3D city models will be improved thanks to recent progress in data capturing techniques.", "abstracts": [ { "abstractType": "Regular", "content": "To improve the visualization of large 3D landscapes and city models in a network environment, the authors use two different types of hierarchical level-of-detail models for terrain and groups of buildings. They also leverage the models to implement progressive streaming in both client-server and peer-to-peer network architectures. Visualizing large photorealistic 3D landscapes and city models has received significant attention over the last 10 years in the computer graphics community. More recently, the availability of broadband Internet access and Web-based visualization techniques is paving the way for large-scale 3D landscapes and city models for a variety of professional and mass-market services. To make such services appealing to a large audience, these 3D models must reach a sufficient level of realism and accuracy. Many solutions are now available to automatically generate 3D models of huge urban environments. Geographic information system (GIS) databases (such as terrain elevation grids, orthophotographs, and a building's footprint and height) provide a good basis for generating such models at affordable cost with minimum human intervention. In the future, the accuracy and realism of 3D city models will be improved thanks to recent progress in data capturing techniques.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "To improve the visualization of large 3D landscapes and city models in a network environment, the authors use two different types of hierarchical level-of-detail models for terrain and groups of buildings. They also leverage the models to implement progressive streaming in both client-server and peer-to-peer network architectures. Visualizing large photorealistic 3D landscapes and city models has received significant attention over the last 10 years in the computer graphics community. More recently, the availability of broadband Internet access and Web-based visualization techniques is paving the way for large-scale 3D landscapes and city models for a variety of professional and mass-market services. To make such services appealing to a large audience, these 3D models must reach a sufficient level of realism and accuracy. Many solutions are now available to automatically generate 3D models of huge urban environments. Geographic information system (GIS) databases (such as terrain elevation grids, orthophotographs, and a building's footprint and height) provide a good basis for generating such models at affordable cost with minimum human intervention. In the future, the accuracy and realism of 3D city models will be improved thanks to recent progress in data capturing techniques.", "title": "Network-Based Visualization of 3D Landscapes and City Models", "normalizedTitle": "Network-Based Visualization of 3D Landscapes and City Models", "fno": "mcg2007060070", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Client Server Systems", "Data Visualisation", "Geographic Information Systems", "Peer To Peer Computing", "Solid Modelling", "Terrain Mapping", "Town And Country Planning", "Visual Databases", "Photorealistic 3 D Landscape Visualization", "3 D City Model Visualization", "Client Server Network Architecture", "Peer To Peer Network Architecture", "Computer Graphics", "Broadband Internet", "Web Based Visualization Technique", "Urban Environment", "Geographic Information System Databases", "Level Of Detail Model", "Terrain Model", "Visualization", "Cities And Towns", "Geographic Information Systems", "Buildings", "Peer To Peer Computing", "Computer Architecture", "Computer Graphics", "Availability", "Web And Internet Services", "Large Scale Systems", "Network Based 3 D Visualization", "Networked Virtual Environments", "Level Of Detail", "Peer To Peer Overlays", "3 D Adaptive Streaming", "Multi Resolution Modeling" ], "authors": [ { "givenName": "Jérôme", "surname": "Royan", "fullName": "Jérôme Royan", "affiliation": "France Telecom R&DDivision", "__typename": "ArticleAuthorType" }, { "givenName": "Patrick", "surname": "Gioia", "fullName": "Patrick Gioia", "affiliation": "France Telecom R&DDivision", "__typename": "ArticleAuthorType" }, { "givenName": "Romain", "surname": "Cavagna", "fullName": "Romain Cavagna", "affiliation": "France Telecom R&DDivision", "__typename": "ArticleAuthorType" }, { "givenName": "Christian", "surname": "Bouville", "fullName": "Christian Bouville", "affiliation": "IRISA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "mags", "pages": "70-79", "year": "2007", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iccvw/2009/4442/0/05457551", "title": "From Google Street View to 3D city models", "doi": null, "abstractUrl": "/proceedings-article/iccvw/2009/05457551/12OmNAq3hH8", "parentPublication": { "id": "proceedings/iccvw/2009/4442/0", "title": "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2015/7568/0/7568a512", "title": "Monuments Visualization: From 3D Scanned Data to a Holistic approach, an Application to the City of Aberdeen", "doi": null, "abstractUrl": "/proceedings-article/iv/2015/7568a512/12OmNqIzh75", "parentPublication": { "id": "proceedings/iv/2015/7568/0", 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"ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/3dpvt/2006/2825/0/282500009", "title": "3D City Modeling Using Cognitive Loops", "doi": null, "abstractUrl": "/proceedings-article/3dpvt/2006/282500009/12OmNxFaLkN", "parentPublication": { "id": "proceedings/3dpvt/2006/2825/0", "title": "Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vissoft/2015/7526/0/07332422", "title": "Research perspective on supporting software engineering via physical 3D models", "doi": null, "abstractUrl": "/proceedings-article/vissoft/2015/07332422/12OmNxvO00Q", "parentPublication": { "id": "proceedings/vissoft/2015/7526/0", "title": "2015 IEEE 3rd Working Conference on Software Visualization (VISSOFT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": 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"ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2008/3268/0/3268a356", "title": "3D Generalization Lenses for Interactive Focus + Context Visualization of Virtual City Models", "doi": null, "abstractUrl": "/proceedings-article/iv/2008/3268a356/12OmNzaQoEB", "parentPublication": { "id": "proceedings/iv/2008/3268/0", "title": "2008 12th International Conference Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2005/2397/0/23970157", "title": "Appraisal of Standards for 3D City Models", "doi": null, "abstractUrl": "/proceedings-article/iv/2005/23970157/12OmNzzP5Mm", "parentPublication": { "id": "proceedings/iv/2005/2397/0", "title": "Ninth International Conference on Information Visualisation (IV'05)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2007060060", "articleId": "13rRUxjyXcM", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2007060080", "articleId": "13rRUxBrGjl", "__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": "13rRUxC0SvN", "doi": "10.1109/TVCG.2007.70601", "abstract": "Scientific visualization and illustration tools are designed to help people understand the structure and complexity of scientific data with images that are as informative and intuitive as possible. In this context the use of metaphors plays an important role since they make complex information easily accessible by using commonly known concepts. In this paper we propose a new metaphor, called “Topological Landscapes,” which facilitates understanding the topological structure of scalar functions. The basic idea is to construct a terrain with the same topology as a given dataset and to display the terrain as an easily understood representation of the actual input data. In this projection from an Z_$n$_Z-dimensional scalar function to a two-dimensional (2D) model we preserve function values of critical points, the persistence (function span) of topological features, and one possible additional metric property (in our examples volume). By displaying this topologically equivalent landscape together with the original data we harness the natural human proficiency in understanding terrain topography and make complex topological information easily accessible.", "abstracts": [ { "abstractType": "Regular", "content": "Scientific visualization and illustration tools are designed to help people understand the structure and complexity of scientific data with images that are as informative and intuitive as possible. In this context the use of metaphors plays an important role since they make complex information easily accessible by using commonly known concepts. In this paper we propose a new metaphor, called “Topological Landscapes,” which facilitates understanding the topological structure of scalar functions. The basic idea is to construct a terrain with the same topology as a given dataset and to display the terrain as an easily understood representation of the actual input data. In this projection from an $n$-dimensional scalar function to a two-dimensional (2D) model we preserve function values of critical points, the persistence (function span) of topological features, and one possible additional metric property (in our examples volume). By displaying this topologically equivalent landscape together with the original data we harness the natural human proficiency in understanding terrain topography and make complex topological information easily accessible.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Scientific visualization and illustration tools are designed to help people understand the structure and complexity of scientific data with images that are as informative and intuitive as possible. In this context the use of metaphors plays an important role since they make complex information easily accessible by using commonly known concepts. In this paper we propose a new metaphor, called “Topological Landscapes,” which facilitates understanding the topological structure of scalar functions. The basic idea is to construct a terrain with the same topology as a given dataset and to display the terrain as an easily understood representation of the actual input data. In this projection from an --dimensional scalar function to a two-dimensional (2D) model we preserve function values of critical points, the persistence (function span) of topological features, and one possible additional metric property (in our examples volume). By displaying this topologically equivalent landscape together with the original data we harness the natural human proficiency in understanding terrain topography and make complex topological information easily accessible.", "title": "Topological Landscapes: A Terrain Metaphor for Scientific Data", "normalizedTitle": "Topological Landscapes: A Terrain Metaphor for Scientific Data", "fno": "v1416", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Data Visualization", "Topology", "Histograms", "Isosurfaces", "Laboratories", "Two Dimensional Displays", "Humans", "Surfaces", "Computer Vision", "User Interfaces", "Feature Detection Primary Keyword", "User Interfaces", "Visual Analytics", "Contour Tree", "Terrain", "Topology", "SOAR" ], "authors": [ { "givenName": "Gunther", "surname": "Weber", "fullName": "Gunther Weber", "affiliation": "IEEE Computer Society", "__typename": "ArticleAuthorType" }, { "givenName": "Peer-Timo", "surname": "Bremer", "fullName": "Peer-Timo Bremer", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Valerio", "surname": "Pascucci", "fullName": "Valerio Pascucci", "affiliation": "IEEE", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1416-1423", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/pacificvis/2010/6685/0/05429601", "title": "Visual analysis of high dimensional point clouds using topological landscapes", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2010/05429601/12OmNyuya4Q", "parentPublication": { "id": "proceedings/pacificvis/2010/6685/0", "title": "2010 IEEE Pacific Visualization Symposium (PacificVis 2010)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/3dim/2005/2327/0/23270589", "title": "An adaptive dandelion model for reconstructing spherical terrain-like visual hull surfaces", "doi": null, "abstractUrl": "/proceedings-article/3dim/2005/23270589/12OmNyvoX9a", "parentPublication": { "id": "proceedings/3dim/2005/2327/0", "title": "3D Digital Imaging and Modeling, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2018/01/08017627", "title": "The Topology ToolKit", "doi": null, "abstractUrl": "/journal/tg/2018/01/08017627/13rRUxZzAhJ", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2014/12/06875939", "title": "Fast and Memory-Efficienty Topological Denoising of 2D and 3D Scalar Fields", "doi": null, "abstractUrl": "/journal/tg/2014/12/06875939/13rRUyYSWl0", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/1994/02/mcg1994020061", "title": "Research Issues in Scientific Visualization", "doi": null, "abstractUrl": "/magazine/cg/1994/02/mcg1994020061/13rRUyp7tYY", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tm/2022/05/09214891", "title": "Localization of Networks on 3D Terrain Surfaces", "doi": null, "abstractUrl": "/journal/tm/2022/05/09214891/1nHNFAHLOQE", "parentPublication": { "id": "trans/tm", "title": "IEEE Transactions on Mobile Computing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "v1408", "articleId": "13rRUwd9CLE", "__typename": "AdjacentArticleType" }, "next": { "fno": "v1424", "articleId": "13rRUwI5U2y", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNvAiSlD", "title": "March/April", "year": "2011", "issueNum": "02", "idPrefix": "cg", "pubType": "magazine", "volume": "31", "label": "March/April", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUyoyhG7", "doi": "10.1109/MCG.2010.63", "abstract": "Real-time rendering of large-scale vector maps over terrain surfaces requires displaying substantial numbers of polylines and polygons. Because a long latency in display and manipulation is fatal to maintaining presence in a virtual environment, a new method efficiently simplifies and renders such maps. This method consists of three steps. First, it simplifies the vector map while maintaining the map's topological consistency and preventing local conflicts such as intersections or self-intersections. Second, it generates view-dependent level-of-detail (LOD) models. Finally, it overlays the maps onto multiresolution terrain models through the stencil shadow volume algorithm and other techniques. Experiments demonstrated the method's efficiencies in real-time rendering of large-scale vector maps over various LOD terrain surfaces.", "abstracts": [ { "abstractType": "Regular", "content": "Real-time rendering of large-scale vector maps over terrain surfaces requires displaying substantial numbers of polylines and polygons. Because a long latency in display and manipulation is fatal to maintaining presence in a virtual environment, a new method efficiently simplifies and renders such maps. This method consists of three steps. First, it simplifies the vector map while maintaining the map's topological consistency and preventing local conflicts such as intersections or self-intersections. Second, it generates view-dependent level-of-detail (LOD) models. Finally, it overlays the maps onto multiresolution terrain models through the stencil shadow volume algorithm and other techniques. Experiments demonstrated the method's efficiencies in real-time rendering of large-scale vector maps over various LOD terrain surfaces.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Real-time rendering of large-scale vector maps over terrain surfaces requires displaying substantial numbers of polylines and polygons. Because a long latency in display and manipulation is fatal to maintaining presence in a virtual environment, a new method efficiently simplifies and renders such maps. This method consists of three steps. First, it simplifies the vector map while maintaining the map's topological consistency and preventing local conflicts such as intersections or self-intersections. Second, it generates view-dependent level-of-detail (LOD) models. Finally, it overlays the maps onto multiresolution terrain models through the stencil shadow volume algorithm and other techniques. Experiments demonstrated the method's efficiencies in real-time rendering of large-scale vector maps over various LOD terrain surfaces.", "title": "Efficient Simplification of Large Vector Maps Rendered onto 3D Landscapes", "normalizedTitle": "Efficient Simplification of Large Vector Maps Rendered onto 3D Landscapes", "fno": "mcg2011020014", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Computational Geometry", "Rendering Computer Graphics", "Terrain Mapping", "Virtual Reality", "3 D Landscape", "Real Time Rendering", "Large Scale Vector Maps", "Terrain Surfaces", "Polylines", "Polygons", "Virtual Environment", "Large Scale Systems", "Surface Topography", "Rendering Computer Graphics", "Topology", "Geoscience And Remote Sensing", "Three Dimensional Displays", "Geodesy", "Environmental Management", "Vector Map", "Simplification", "Level Of Detail", "Digital Elevation Models", "Overlay", "Computer Graphics", "Graphics And Multimedia" ], "authors": [ { "givenName": "Ling", "surname": "Yang", "fullName": "Ling Yang", "affiliation": "State Key Laboratory of Remote Sensing Science", "__typename": "ArticleAuthorType" }, { "givenName": "Liqiang", "surname": "Zhang", "fullName": "Liqiang Zhang", "affiliation": "State Key Laboratory of Remote Sensing Science", "__typename": "ArticleAuthorType" }, { "givenName": "Jingtao", "surname": "Ma", "fullName": "Jingtao Ma", "affiliation": "PTV America", "__typename": "ArticleAuthorType" }, { "givenName": "Zhizhong", "surname": "Kang", "fullName": "Zhizhong Kang", "affiliation": "China University of Geosciences", "__typename": "ArticleAuthorType" }, { "givenName": "Lixin", "surname": "Zhang", "fullName": "Lixin Zhang", "affiliation": "State Key Laboratory of Remote Sensing Science", "__typename": "ArticleAuthorType" }, { "givenName": "Jonathan", "surname": "Li", "fullName": "Jonathan Li", "affiliation": "University of Waterloo", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2011-03-01 00:00:00", "pubType": "mags", "pages": "14-23", "year": "2011", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/cgi/2000/0643/0/06430325", "title": "Dynamic 3D Maps and Their Texture-Based Design", "doi": null, "abstractUrl": "/proceedings-article/cgi/2000/06430325/12OmNBSBk6b", "parentPublication": { "id": "proceedings/cgi/2000/0643/0", "title": "Computer Graphics International Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cisp/2008/3119/5/3119e589", "title": "Large-Scale Datasets Visualization on Networks Using Dynamic Pipeline Decomposition and Mapping", "doi": null, "abstractUrl": "/proceedings-article/cisp/2008/3119e589/12OmNBkfRh1", "parentPublication": { "id": "proceedings/cisp/2008/3119/5", "title": "International Congress on Image and Signal Processing (CISP 2008)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/geoprocessing/2010/3951/0/3951a015", "title": "Finding Sites Meeting Compactness and On- and Off-site Suitability Criteria in Raster Maps", "doi": null, "abstractUrl": "/proceedings-article/geoprocessing/2010/3951a015/12OmNxuo0iO", "parentPublication": { "id": "proceedings/geoprocessing/2010/3951/0", "title": "2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2011/12/ttg2011121997", "title": "Context Preserving Maps of Tubular Structures", "doi": null, "abstractUrl": "/journal/tg/2011/12/ttg2011121997/13rRUwfI0Q8", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2011020009", "articleId": "13rRUx0Pqv4", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2011020024", "articleId": "13rRUwbaqNW", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNx5YvqP", "title": "Nov.", "year": "2020", "issueNum": "11", "idPrefix": "tg", "pubType": "journal", "volume": "26", "label": "Nov.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "1aAxaVT7HtS", "doi": "10.1109/TVCG.2019.2920817", "abstract": "Point cloud is the primary source from 3D scanners and depth cameras. It usually contains more raw geometric features, as well as higher levels of noise than the reconstructed mesh. Although many mesh denoising methods have proven to be effective in noise removal, they hardly work well on noisy point clouds. We propose a new multi-patch collaborative method for point cloud denoising, which is solved as a low-rank matrix recovery problem. Unlike the traditional single-patch based denoising approaches, our approach is inspired by the geometric statistics which indicate that a number of surface patches sharing approximate geometric properties always exist within a 3D model. Based on this observation, we define a rotation-invariant height-map patch (HMP) for each point by robust Bi-PCA encoding bilaterally filtered normal information, and group its non-local similar patches together. Within each group, all patches are geometrically similar, while suffering from noise. We pack the height maps of each group into an HMP matrix, whose initial rank is high, but can be significantly reduced. We design an improved low-rank recovery model, by imposing a graph constraint to filter noise. Experiments on synthetic and raw datasets demonstrate that our method outperforms state-of-the-art methods in both noise removal and feature preservation.", "abstracts": [ { "abstractType": "Regular", "content": "Point cloud is the primary source from 3D scanners and depth cameras. It usually contains more raw geometric features, as well as higher levels of noise than the reconstructed mesh. Although many mesh denoising methods have proven to be effective in noise removal, they hardly work well on noisy point clouds. We propose a new multi-patch collaborative method for point cloud denoising, which is solved as a low-rank matrix recovery problem. Unlike the traditional single-patch based denoising approaches, our approach is inspired by the geometric statistics which indicate that a number of surface patches sharing approximate geometric properties always exist within a 3D model. Based on this observation, we define a rotation-invariant height-map patch (HMP) for each point by robust Bi-PCA encoding bilaterally filtered normal information, and group its non-local similar patches together. Within each group, all patches are geometrically similar, while suffering from noise. We pack the height maps of each group into an HMP matrix, whose initial rank is high, but can be significantly reduced. We design an improved low-rank recovery model, by imposing a graph constraint to filter noise. Experiments on synthetic and raw datasets demonstrate that our method outperforms state-of-the-art methods in both noise removal and feature preservation.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Point cloud is the primary source from 3D scanners and depth cameras. It usually contains more raw geometric features, as well as higher levels of noise than the reconstructed mesh. Although many mesh denoising methods have proven to be effective in noise removal, they hardly work well on noisy point clouds. We propose a new multi-patch collaborative method for point cloud denoising, which is solved as a low-rank matrix recovery problem. Unlike the traditional single-patch based denoising approaches, our approach is inspired by the geometric statistics which indicate that a number of surface patches sharing approximate geometric properties always exist within a 3D model. Based on this observation, we define a rotation-invariant height-map patch (HMP) for each point by robust Bi-PCA encoding bilaterally filtered normal information, and group its non-local similar patches together. Within each group, all patches are geometrically similar, while suffering from noise. We pack the height maps of each group into an HMP matrix, whose initial rank is high, but can be significantly reduced. We design an improved low-rank recovery model, by imposing a graph constraint to filter noise. Experiments on synthetic and raw datasets demonstrate that our method outperforms state-of-the-art methods in both noise removal and feature preservation.", "title": "Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint", "normalizedTitle": "Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint", "fno": "08730533", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Filtering Theory", "Image Denoising", "Image Reconstruction", "Matrix Algebra", "Mesh Generation", "Principal Component Analysis", "Approximate Geometric Properties", "Rotation Invariant Height Map Patch", "Bilaterally Filtered Normal Information", "Nonlocal Similar Patches", "HMP Matrix", "Initial Rank", "Low Rank Recovery Model", "Graph Constraint", "Noise Removal", "Depth Cameras", "Raw Geometric Features", "Reconstructed Mesh", "Mesh Denoising Methods", "Noisy Point Clouds", "Multipatch Collaborative Method", "Point Cloud Denoising", "Low Rank Matrix Recovery Problem", "Geometric Statistics", "Surface Patches", "Multipatch Collaborative Point Cloud Denoising", "Robust Bi PCA Encoding", "Three Dimensional Displays", "Noise Reduction", "Collaboration", "Solid Modeling", "Cameras", "Surface Reconstruction", "Image Reconstruction", "Point Cloud Denoising", "Low Rank Matrix Recovery", "Height Map Patch", "Self Similarity" ], "authors": [ { "givenName": "Honghua", "surname": "Chen", "fullName": "Honghua Chen", "affiliation": "Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China", "__typename": "ArticleAuthorType" }, { "givenName": "Mingqiang", "surname": "Wei", "fullName": "Mingqiang Wei", "affiliation": "Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China", "__typename": "ArticleAuthorType" }, { "givenName": "Yangxing", "surname": "Sun", "fullName": "Yangxing Sun", "affiliation": "Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China", "__typename": "ArticleAuthorType" }, { "givenName": "Xingyu", "surname": "Xie", "fullName": "Xingyu Xie", "affiliation": "Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China", "__typename": "ArticleAuthorType" }, { "givenName": "Jun", "surname": "Wang", "fullName": "Jun Wang", "affiliation": "Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "11", "pubDate": "2020-11-01 00:00:00", "pubType": "trans", "pages": "3255-3270", "year": "2020", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iccv/2015/8391/0/8391a603", "title": "External Patch Prior Guided Internal Clustering for Image Denoising", "doi": null, "abstractUrl": "/proceedings-article/iccv/2015/8391a603/12OmNBpEeUR", "parentPublication": { "id": "proceedings/iccv/2015/8391/0", "title": "2015 IEEE International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdh/2012/4899/0/4899a224", "title": "Image Denoising with Patch Estimation and Low Patch-rank Regularization", "doi": null, "abstractUrl": "/proceedings-article/icdh/2012/4899a224/12OmNxFJXOZ", "parentPublication": { "id": "proceedings/icdh/2012/4899/0", "title": "4th International Conference on Digital Home (ICDH)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2013/4989/0/4989b211", "title": "Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2013/4989b211/12OmNz3bdCq", "parentPublication": { "id": "proceedings/cvpr/2013/4989/0", "title": "2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccp/2013/6463/0/06528298", "title": "Combining the power of Internal and External denoising", "doi": null, "abstractUrl": "/proceedings-article/iccp/2013/06528298/12OmNzWOBfJ", "parentPublication": { "id": "proceedings/iccp/2013/6463/0", "title": "2013 IEEE International Conference on Computational Photography (ICCP)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/10/08434353", "title": "Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery", "doi": null, "abstractUrl": "/journal/tg/2019/10/08434353/13rRUy2YLYE", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/3dv/2018/8425/0/842500a444", "title": "Structured Low-Rank Matrix Factorization for Point-Cloud Denoising", "doi": null, "abstractUrl": "/proceedings-article/3dv/2018/842500a444/17D45XacGiJ", "parentPublication": { "id": "proceedings/3dv/2018/8425/0", "title": "2018 International Conference on 3D Vision (3DV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/sibgrapi/2018/9264/0/926400a001", "title": "Adaptive Patches for Mesh Denoising", "doi": null, "abstractUrl": "/proceedings-article/sibgrapi/2018/926400a001/17D45XvMce1", "parentPublication": { "id": "proceedings/sibgrapi/2018/9264/0", "title": "2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wacv/2019/1975/0/197500b886", "title": "Good Similar Patches for Image Denoising", "doi": null, "abstractUrl": "/proceedings-article/wacv/2019/197500b886/18j8OcUzs8U", "parentPublication": { "id": "proceedings/wacv/2019/1975/0", "title": "2019 IEEE Winter Conference on Applications of Computer Vision (WACV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2021/2812/0/281200c137", "title": "Patch Craft: Video Denoising by Deep Modeling and Patch Matching", "doi": null, "abstractUrl": "/proceedings-article/iccv/2021/281200c137/1BmGZags3V6", "parentPublication": { "id": "proceedings/iccv/2021/2812/0", "title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2021/2812/0/281200e631", "title": "Cross-Patch Graph Convolutional Network for Image Denoising", "doi": null, "abstractUrl": "/proceedings-article/iccv/2021/281200e631/1BmJ1oyAR1K", "parentPublication": { "id": "proceedings/iccv/2021/2812/0", "title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "08730513", "articleId": "1aAxbhCR94c", "__typename": "AdjacentArticleType" }, "next": { "fno": "08705329", "articleId": "19Jq3VAoa2Y", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNxWuinm", "title": "Sept.", "year": "2016", "issueNum": "09", "idPrefix": "tg", "pubType": "journal", "volume": "22", "label": "Sept.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwbs1Sx", "doi": "10.1109/TVCG.2015.2500240", "abstract": "Color is a common channel for displaying data in surface visualization, but is affected by the shadows and shading used to convey surface depth and shape. Understanding encoded data in the context of surface structure is critical for effective analysis in a variety of domains, such as in molecular biology. In the physical world, lightness constancy allows people to accurately perceive shadowed colors; however, its effectiveness in complex synthetic environments such as surface visualizations is not well understood. We report a series of crowdsourced and laboratory studies that confirm the existence of lightness constancy effects for molecular surface visualizations using ambient occlusion. We provide empirical evidence of how common visualization design decisions can impact viewers’ abilities to accurately identify encoded surface colors. These findings suggest that lightness constancy aids in understanding color encodings in surface visualization and reveal a correlation between visualization techniques that improve color interpretation in shadow and those that enhance perceptions of surface depth. These results collectively suggest that understanding constancy in practice can inform effective visualization design.", "abstracts": [ { "abstractType": "Regular", "content": "Color is a common channel for displaying data in surface visualization, but is affected by the shadows and shading used to convey surface depth and shape. Understanding encoded data in the context of surface structure is critical for effective analysis in a variety of domains, such as in molecular biology. In the physical world, lightness constancy allows people to accurately perceive shadowed colors; however, its effectiveness in complex synthetic environments such as surface visualizations is not well understood. We report a series of crowdsourced and laboratory studies that confirm the existence of lightness constancy effects for molecular surface visualizations using ambient occlusion. We provide empirical evidence of how common visualization design decisions can impact viewers’ abilities to accurately identify encoded surface colors. These findings suggest that lightness constancy aids in understanding color encodings in surface visualization and reveal a correlation between visualization techniques that improve color interpretation in shadow and those that enhance perceptions of surface depth. These results collectively suggest that understanding constancy in practice can inform effective visualization design.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Color is a common channel for displaying data in surface visualization, but is affected by the shadows and shading used to convey surface depth and shape. Understanding encoded data in the context of surface structure is critical for effective analysis in a variety of domains, such as in molecular biology. In the physical world, lightness constancy allows people to accurately perceive shadowed colors; however, its effectiveness in complex synthetic environments such as surface visualizations is not well understood. We report a series of crowdsourced and laboratory studies that confirm the existence of lightness constancy effects for molecular surface visualizations using ambient occlusion. We provide empirical evidence of how common visualization design decisions can impact viewers’ abilities to accurately identify encoded surface colors. These findings suggest that lightness constancy aids in understanding color encodings in surface visualization and reveal a correlation between visualization techniques that improve color interpretation in shadow and those that enhance perceptions of surface depth. These results collectively suggest that understanding constancy in practice can inform effective visualization design.", "title": "Lightness Constancy in Surface Visualization", "normalizedTitle": "Lightness Constancy in Surface Visualization", "fno": "07328340", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Image Color Analysis", "Data Visualization", "Lighting", "Visualization", "Shape", "Encoding", "Context", "Visual Perception", "Color Shading", "And Shadow", "Lightness Constancy", "Molecular Visualization", "Surface Visualization" ], "authors": [ { "givenName": "Danielle Albers", "surname": "Szafir", "fullName": "Danielle Albers Szafir", "affiliation": "Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI", "__typename": "ArticleAuthorType" }, { "givenName": "Alper", "surname": "Sarikaya", "fullName": "Alper Sarikaya", "affiliation": "Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI", "__typename": "ArticleAuthorType" }, { "givenName": "Michael", "surname": "Gleicher", "fullName": "Michael Gleicher", "affiliation": "Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "09", "pubDate": "2016-09-01 00:00:00", "pubType": "trans", "pages": "2107-2121", "year": "2016", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iccv/2017/1032/0/1032f459", "title": "Recurrent Color Constancy", "doi": null, "abstractUrl": "/proceedings-article/iccv/2017/1032f459/12OmNBqdrg6", "parentPublication": { "id": "proceedings/iccv/2017/1032/0", "title": "2017 IEEE International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/1995/7042/0/70420218", "title": "Color constancy in diagonal chromaticity space", "doi": null, "abstractUrl": "/proceedings-article/iccv/1995/70420218/12OmNC4eSrx", "parentPublication": { "id": "proceedings/iccv/1995/7042/0", "title": "Computer Vision, IEEE International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2009/4420/0/05459391", "title": "Color constancy using 3D scene geometry", "doi": null, "abstractUrl": "/proceedings-article/iccv/2009/05459391/12OmNC4wtse", "parentPublication": { "id": "proceedings/iccv/2009/4420/0", "title": "2009 IEEE 12th International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/dicta/2010/4271/0/4271a441", "title": "Color Constancy-Based Visibility Enhancement in Low-Light Conditions", "doi": null, "abstractUrl": "/proceedings-article/dicta/2010/4271a441/12OmNrMHOb8", "parentPublication": { "id": "proceedings/dicta/2010/4271/0", "title": "2010 International Conference on Digital Image Computing: Techniques and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccv/2015/8391/0/8391a379", "title": "Convolutional Color Constancy", "doi": null, "abstractUrl": "/proceedings-article/iccv/2015/8391a379/12OmNvjQ8Ej", "parentPublication": { "id": "proceedings/iccv/2015/8391/0", "title": "2015 IEEE International Conference on Computer Vision (ICCV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/1988/0862/0/00196288", "title": "Color constancy computation in near-Mondrian scenes using a finite dimensional linear model", "doi": null, "abstractUrl": "/proceedings-article/cvpr/1988/00196288/12OmNvvtGWY", "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/sbrlarsrobocontrol/2014/6711/0/07024269", "title": "An Iterative Approach for Color Constancy", "doi": null, "abstractUrl": "/proceedings-article/sbrlarsrobocontrol/2014/07024269/12OmNwNwzKw", "parentPublication": { "id": "proceedings/sbrlarsrobocontrol/2014/6711/0", "title": "2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol (SBR LARS Robocontrol)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/1993/3880/0/00341053", "title": "Color recovery from biased illumination: color constancy", "doi": null, "abstractUrl": "/proceedings-article/cvpr/1993/00341053/12OmNxYtuc9", "parentPublication": { "id": "proceedings/cvpr/1993/3880/0", "title": "Proceedings of IEEE Conference on Computer Vision and Pattern Recognition", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/2014/05/06588227", "title": "Exemplar-Based Color Constancy and Multiple Illumination", "doi": null, "abstractUrl": "/journal/tp/2014/05/06588227/13rRUxcbnIm", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccvw/2021/0191/0/019100b194", "title": "Generative Models for Multi-Illumination Color Constancy", "doi": null, "abstractUrl": "/proceedings-article/iccvw/2021/019100b194/1yNioSxeNTa", "parentPublication": { "id": "proceedings/iccvw/2021/0191/0", "title": "2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "07321833", "articleId": "13rRUyogGAe", "__typename": "AdjacentArticleType" }, "next": { "fno": "07346514", "articleId": "13rRUEgarBy", 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{ "issue": { "id": "12OmNyPQ4Dx", "title": "Dec.", "year": "2012", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "18", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwd9CLL", "doi": "10.1109/TVCG.2012.186", "abstract": "Color mapping and semitransparent layering play an important role in many visualization scenarios, such as information visualization and volume rendering. The combination of color and transparency is still dominated by standard alpha-compositing using the Porter-Duff over operator which can result in false colors with deceiving impact on the visualization. Other more advanced methods have also been proposed, but the problem is still far from being solved. Here we present an alternative to these existing methods specifically devised to avoid false colors and preserve visual depth ordering. Our approach is data driven and follows the recently formulated knowledge-assisted visualization (KAV) paradigm. Preference data, that have been gathered in web-based user surveys, are used to train a support-vector machine model for automatically predicting an optimized hue-preserving blending. We have applied the resulting model to both volume rendering and a specific information visualization technique, illustrative parallel coordinate plots. Comparative renderings show a significant improvement over previous approaches in the sense that false colors are completely removed and important properties such as depth ordering and blending vividness are better preserved. Due to the generality of the defined data-driven blending operator, it can be easily integrated also into other visualization frameworks.", "abstracts": [ { "abstractType": "Regular", "content": "Color mapping and semitransparent layering play an important role in many visualization scenarios, such as information visualization and volume rendering. The combination of color and transparency is still dominated by standard alpha-compositing using the Porter-Duff over operator which can result in false colors with deceiving impact on the visualization. Other more advanced methods have also been proposed, but the problem is still far from being solved. Here we present an alternative to these existing methods specifically devised to avoid false colors and preserve visual depth ordering. Our approach is data driven and follows the recently formulated knowledge-assisted visualization (KAV) paradigm. Preference data, that have been gathered in web-based user surveys, are used to train a support-vector machine model for automatically predicting an optimized hue-preserving blending. We have applied the resulting model to both volume rendering and a specific information visualization technique, illustrative parallel coordinate plots. Comparative renderings show a significant improvement over previous approaches in the sense that false colors are completely removed and important properties such as depth ordering and blending vividness are better preserved. Due to the generality of the defined data-driven blending operator, it can be easily integrated also into other visualization frameworks.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Color mapping and semitransparent layering play an important role in many visualization scenarios, such as information visualization and volume rendering. The combination of color and transparency is still dominated by standard alpha-compositing using the Porter-Duff over operator which can result in false colors with deceiving impact on the visualization. Other more advanced methods have also been proposed, but the problem is still far from being solved. Here we present an alternative to these existing methods specifically devised to avoid false colors and preserve visual depth ordering. Our approach is data driven and follows the recently formulated knowledge-assisted visualization (KAV) paradigm. Preference data, that have been gathered in web-based user surveys, are used to train a support-vector machine model for automatically predicting an optimized hue-preserving blending. We have applied the resulting model to both volume rendering and a specific information visualization technique, illustrative parallel coordinate plots. Comparative renderings show a significant improvement over previous approaches in the sense that false colors are completely removed and important properties such as depth ordering and blending vividness are better preserved. Due to the generality of the defined data-driven blending operator, it can be easily integrated also into other visualization frameworks.", "title": "A Data-Driven Approach to Hue-Preserving Color-Blending", "normalizedTitle": "A Data-Driven Approach to Hue-Preserving Color-Blending", "fno": "ttg2012122122", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Image Color Analysis", "Color", "Standards", "Rendering Computer Graphics", "Vectors", "Support Vector Machines", "Parallel Coordinates", "Color Blending", "Hue Preservation", "Knowledge Assisted Visualization", "Volume Rendering" ], "authors": [ { "givenName": "Lars", "surname": "Kuhne", "fullName": "Lars Kuhne", "affiliation": "Friedrich-Schiller-Universität Jena", "__typename": "ArticleAuthorType" }, { "givenName": "Joachim", "surname": "Giesen", "fullName": "Joachim Giesen", "affiliation": "Friedrich-Schiller-Universität Jena", "__typename": "ArticleAuthorType" }, { "givenName": "Zhiyuan", "surname": "Zhang", "fullName": "Zhiyuan Zhang", "affiliation": "Stony Brook University", "__typename": "ArticleAuthorType" }, { "givenName": "Sungsoo", "surname": "Ha", "fullName": "Sungsoo Ha", "affiliation": "Stony Brook University", "__typename": "ArticleAuthorType" }, { "givenName": "Klaus", "surname": "Mueller", "fullName": "Klaus Mueller", "affiliation": "Stony Brook University", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2012-12-01 00:00:00", "pubType": "trans", "pages": "2122-2129", "year": "2012", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iccis/2012/4789/0/4789a530", "title": "Data-Driven Based Interactive Motion Blending", "doi": null, "abstractUrl": "/proceedings-article/iccis/2012/4789a530/12OmNAY79d9", "parentPublication": { "id": "proceedings/iccis/2012/4789/0", "title": "2012 Fourth International Conference on Computational and Information Sciences", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2013/4795/0/06549410", "title": "Color blending in outdoor optical see-through AR: The effect of real-world backgrounds on user interface color", "doi": null, "abstractUrl": "/proceedings-article/vr/2013/06549410/12OmNBTJIzB", "parentPublication": { "id": "proceedings/vr/2013/4795/0", "title": "2013 IEEE Virtual Reality (VR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/psivt/2010/4285/0/4285a462", "title": "Artistic Emulation - Filter Blending for Painterly Rendering", "doi": null, "abstractUrl": "/proceedings-article/psivt/2010/4285a462/12OmNyRg48N", "parentPublication": { "id": "proceedings/psivt/2010/4285/0", "title": "Image and Video Technology, Pacific-Rim Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/pg/2002/1784/0/17840145", "title": "Blending Multiple Views", "doi": null, "abstractUrl": "/proceedings-article/pg/2002/17840145/12OmNzDehbe", "parentPublication": { "id": "proceedings/pg/2002/1784/0", "title": "Computer Graphics and Applications, Pacific Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vr/2010/6237/0/05444808", "title": "More than meets the eye: An engineering study to empirically examine the blending of real and virtual color spaces", "doi": null, "abstractUrl": "/proceedings-article/vr/2010/05444808/12OmNzlD9ih", "parentPublication": { "id": "proceedings/vr/2010/6237/0", "title": "2010 IEEE Virtual Reality Conference (VR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1270", "title": "Weaving Versus Blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color.", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1270/13rRUNvyatc", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2004/05/v0598", "title": "Confetti: Object-Space Point Blending and Splatting", "doi": null, "abstractUrl": "/journal/tg/2004/05/v0598/13rRUxly95s", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2009/06/ttg2009061275", "title": "Hue-Preserving Color Blending", "doi": null, "abstractUrl": "/journal/tg/2009/06/ttg2009061275/13rRUyY28Yp", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wacv/2020/6553/0/09093632", "title": "Deep Image Blending", "doi": null, "abstractUrl": "/proceedings-article/wacv/2020/09093632/1jPbdjek65i", "parentPublication": { "id": "proceedings/wacv/2020/6553/0", "title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2022/08/09293392", "title": "A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display Graphics", "doi": null, "abstractUrl": "/journal/tg/2022/08/09293392/1pyomiXbJQs", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2012122114", "articleId": "13rRUxBa55Z", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2012122130", "articleId": "13rRUxBJhvv", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNxiKs8I", "title": "July-Aug.", "year": "2014", "issueNum": "04", "idPrefix": "cg", "pubType": "magazine", "volume": "34", "label": "July-Aug.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxAASN1", "doi": "10.1109/MCG.2014.77", "abstract": "Card weaving is a simple, easy weaving method, but designing patterns is typically laborious and requires knowledge, experience, and skill. The Weavy system helps users design and weave original patterns with or without repeating elements. In the latter case, the system automatically considers constraints such as the number of yarn colors and the cards' rotation direction. Following Weavy's construction guide, users weave the pattern they've created. Researchers exhibited Weavy at the ACM Siggraph 2013 Studio and ran a small workshop for children in Japan. In both cases, the participants quickly learned how to use Weavy and enjoyed designing and weaving objects.", "abstracts": [ { "abstractType": "Regular", "content": "Card weaving is a simple, easy weaving method, but designing patterns is typically laborious and requires knowledge, experience, and skill. The Weavy system helps users design and weave original patterns with or without repeating elements. In the latter case, the system automatically considers constraints such as the number of yarn colors and the cards' rotation direction. Following Weavy's construction guide, users weave the pattern they've created. Researchers exhibited Weavy at the ACM Siggraph 2013 Studio and ran a small workshop for children in Japan. In both cases, the participants quickly learned how to use Weavy and enjoyed designing and weaving objects.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Card weaving is a simple, easy weaving method, but designing patterns is typically laborious and requires knowledge, experience, and skill. The Weavy system helps users design and weave original patterns with or without repeating elements. In the latter case, the system automatically considers constraints such as the number of yarn colors and the cards' rotation direction. Following Weavy's construction guide, users weave the pattern they've created. Researchers exhibited Weavy at the ACM Siggraph 2013 Studio and ran a small workshop for children in Japan. In both cases, the participants quickly learned how to use Weavy and enjoyed designing and weaving objects.", "title": "Weavy: Interactive Card-Weaving Design and Construction", "normalizedTitle": "Weavy: Interactive Card-Weaving Design and Construction", "fno": "mcg2014040022", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Art", "Interactive Systems", "Weaving", "Yarn", "Interactive Card Weaving Design", "Weaving Method", "Pattern Design", "User Design", "Yarn Color", "Card Rotation Direction", "Weavy Construction Guide", "Pattern Creation", "ACM Siggraph 2013 Studio", "Children Workshop", "Japan", "Weaving", "Pattern Analysis", "Computer Graphics", "Textiles", "Fabrics", "Multimedia Communication", "Paints", "Card Weaving", "Weavy", "Textile Design", "Computer Graphics", "Multimedia" ], "authors": [ { "givenName": "Yuki", "surname": "Igarashi", "fullName": "Yuki Igarashi", "affiliation": "University of Tsukuba", "__typename": "ArticleAuthorType" }, { "givenName": "Jun", "surname": "Mitani", "fullName": "Jun Mitani", "affiliation": "University of Tsukuba", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "04", "pubDate": "2014-07-01 00:00:00", "pubType": "mags", "pages": "22-29", "year": "2014", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/acsd/2016/2589/0/2589a035", "title": "Weaving True-Concurrent Aspects Using Constraint Solvers", "doi": null, "abstractUrl": "/proceedings-article/acsd/2016/2589a035/12OmNAio74k", "parentPublication": { "id": "proceedings/acsd/2016/2589/0", "title": "2016 16th International Conference on Application of Concurrency to System Design (ACSD)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icsoft-pt/2014/8079/0/07292578", "title": "Model weaving and pedagogy mapping abstraction levels in instructional design languages", "doi": null, "abstractUrl": "/proceedings-article/icsoft-pt/2014/07292578/12OmNBpEeVz", "parentPublication": { "id": "proceedings/icsoft-pt/2014/8079/0", "title": "2014 9th International Conference on Software Paradigm Trends (ICSOFT-PT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hase/2015/8111/0/8111a110", "title": "Weaving an Assurance Case from Design: A Model-Based Approach", "doi": null, "abstractUrl": "/proceedings-article/hase/2015/8111a110/12OmNvy258e", "parentPublication": { "id": "proceedings/hase/2015/8111/0", "title": "2015 IEEE 16th International Symposium on High Assurance Systems Engineering (HASE)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/nicoint/2016/2305/0/2305a075", "title": "Optimizing Dither Masks for Rendering Smooth Tones on Fabric", "doi": null, "abstractUrl": "/proceedings-article/nicoint/2016/2305a075/12OmNwlqhM5", "parentPublication": { "id": "proceedings/nicoint/2016/2305/0", "title": "2016 Nicograph International (NicoInt)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iciii/2010/4279/4/4279d422", "title": "Characteristics and Module Design of Weaving ERP", "doi": null, "abstractUrl": "/proceedings-article/iciii/2010/4279d422/12OmNwqft5T", "parentPublication": { "id": "proceedings/iciii/2010/4279/4", "title": "International Conference on Information Management, Innovation Management and Industrial Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cerma/2010/4204/0/4204a090", "title": "Advise Weaving in Énfasis", "doi": null, "abstractUrl": "/proceedings-article/cerma/2010/4204a090/12OmNxR5UU4", "parentPublication": { "id": "proceedings/cerma/2010/4204/0", "title": "Electronics, Robotics and Automotive Mechanics Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wordsf/2003/2054/0/01410975", "title": "Weaving Aspects into Real-Time Operating System Design Using Object-Oriented Model Transformation", "doi": null, "abstractUrl": "/proceedings-article/wordsf/2003/01410975/12OmNyeECGm", "parentPublication": { "id": "proceedings/wordsf/2003/2054/0", "title": "2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/apscc/2008/3473/0/3473a595", "title": "Hide and Not Easy to Seek: A Hybrid Weaving Strategy for Context-Aware Service Provision in a Smart Home", "doi": null, "abstractUrl": "/proceedings-article/apscc/2008/3473a595/12OmNykkB8i", "parentPublication": { "id": "proceedings/apscc/2008/3473/0", "title": "2008 IEEE Asia-Pacific Services Computing Conference", "__typename": "ParentPublication" }, 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{ "issue": { "id": "12OmNAlvHDA", "title": "April", "year": "2012", "issueNum": "02", "idPrefix": "nt", "pubType": "journal", "volume": "20", "label": "April", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxASuJC", "doi": "10.1109/TNET.2011.2165323", "abstract": "Ternary content addressable memories (TCAMs) have become the de facto standard in industry for fast packet classification. Unfortunately, TCAMs have limitations of small capacity, high power consumption, high heat generation, and high cost. The well-known range expansion problem exacerbates these limitations as each classifier rule typically has to be converted to multiple TCAM rules. One method for coping with these limitations is to use compression schemes to reduce the number of TCAM rules required to represent a classifier. Unfortunately, all existing compression schemes only produce prefix classifiers. Thus, they all miss the compression opportunities created by non-prefix ternary classifiers. In this paper, we propose bit weaving, the first non-prefix compression scheme. Bit weaving is based on the observation that TCAM entries that have the same decision and whose predicates differ by only one bit can be merged into one entry by replacing the bit in question with . Bit weaving consists of two new techniques, bit swapping and bit merging, to first identify and then merge such rules together. The key advantages of bit weaving are that it runs fast, it is effective, and it is composable with other TCAM optimization methods as a pre/post-processing routine. We implemented bit weaving and conducted experiments on both real-world and synthetic packet classifiers. Our experimental results show the following: 1) bit weaving is an effective standalone compression technique (it achieves an average compression ratio of 23.6%); 2) bit weaving finds compression opportunities that other methods miss. Specifically, bit weaving improves the prior TCAM optimization techniques of TCAM Razor and Topological Transformation by an average of 12.8% and 36.5%, respectively.", "abstracts": [ { "abstractType": "Regular", "content": "Ternary content addressable memories (TCAMs) have become the de facto standard in industry for fast packet classification. Unfortunately, TCAMs have limitations of small capacity, high power consumption, high heat generation, and high cost. The well-known range expansion problem exacerbates these limitations as each classifier rule typically has to be converted to multiple TCAM rules. One method for coping with these limitations is to use compression schemes to reduce the number of TCAM rules required to represent a classifier. Unfortunately, all existing compression schemes only produce prefix classifiers. Thus, they all miss the compression opportunities created by non-prefix ternary classifiers. In this paper, we propose bit weaving, the first non-prefix compression scheme. Bit weaving is based on the observation that TCAM entries that have the same decision and whose predicates differ by only one bit can be merged into one entry by replacing the bit in question with . Bit weaving consists of two new techniques, bit swapping and bit merging, to first identify and then merge such rules together. The key advantages of bit weaving are that it runs fast, it is effective, and it is composable with other TCAM optimization methods as a pre/post-processing routine. We implemented bit weaving and conducted experiments on both real-world and synthetic packet classifiers. Our experimental results show the following: 1) bit weaving is an effective standalone compression technique (it achieves an average compression ratio of 23.6%); 2) bit weaving finds compression opportunities that other methods miss. Specifically, bit weaving improves the prior TCAM optimization techniques of TCAM Razor and Topological Transformation by an average of 12.8% and 36.5%, respectively.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Ternary content addressable memories (TCAMs) have become the de facto standard in industry for fast packet classification. Unfortunately, TCAMs have limitations of small capacity, high power consumption, high heat generation, and high cost. The well-known range expansion problem exacerbates these limitations as each classifier rule typically has to be converted to multiple TCAM rules. One method for coping with these limitations is to use compression schemes to reduce the number of TCAM rules required to represent a classifier. Unfortunately, all existing compression schemes only produce prefix classifiers. Thus, they all miss the compression opportunities created by non-prefix ternary classifiers. In this paper, we propose bit weaving, the first non-prefix compression scheme. Bit weaving is based on the observation that TCAM entries that have the same decision and whose predicates differ by only one bit can be merged into one entry by replacing the bit in question with . Bit weaving consists of two new techniques, bit swapping and bit merging, to first identify and then merge such rules together. The key advantages of bit weaving are that it runs fast, it is effective, and it is composable with other TCAM optimization methods as a pre/post-processing routine. We implemented bit weaving and conducted experiments on both real-world and synthetic packet classifiers. Our experimental results show the following: 1) bit weaving is an effective standalone compression technique (it achieves an average compression ratio of 23.6%); 2) bit weaving finds compression opportunities that other methods miss. Specifically, bit weaving improves the prior TCAM optimization techniques of TCAM Razor and Topological Transformation by an average of 12.8% and 36.5%, respectively.", "title": "Bit weaving: a non-prefix approach to compressing packet classifiers in TCAMs", "normalizedTitle": "Bit weaving: a non-prefix approach to compressing packet classifiers in TCAMs", "fno": "06031782", "hasPdf": true, "idPrefix": "nt", "keywords": [ "Content Addressable Storage", "Data Compression", "Merging", "Optimisation", "Packet Radio Networks", "Pattern Classification", "Packet Classification", "TCAM", "Bit Weaving", "Ternary Content Addressable Memory", "De Facto Standard", "Power Consumption", "Classifier Rule", "Prefix Classifier", "Nonprefix Ternary Classifier", "Nonprefix Compression Scheme", "Bit Swapping Technique", "Bit Merging Technique", "Optimization", "Preprocessing Routine", "Postprocessing Routine", "Weaving", "Encoding", "Partitioning Algorithms", "Merging", "Hardware", "Power Demand", "Polynomials", "Packet Classification", "Ternary Content Addressable Memory TCAM" ], "authors": [ { "givenName": "Chad R.", "surname": "Meiners", "fullName": "Chad R. Meiners", "affiliation": "MIT Lincoln Laboratory", "__typename": "ArticleAuthorType" }, { "givenName": "Alex X.", "surname": "Liu", "fullName": "Alex X. Liu", "affiliation": "Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA", "__typename": "ArticleAuthorType" }, { "givenName": "Eric", "surname": "Torng", "fullName": "Eric Torng", "affiliation": "Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2012-03-01 00:00:00", "pubType": "trans", "pages": "488-500", "year": "2012", "issn": "1063-6692", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/islped/2009/8684/0/86840389", "title": "Low power fast and dense longest prefix match content addressable memory for IP routers", "doi": null, "abstractUrl": "/proceedings-article/islped/2009/86840389/12OmNAObbE8", "parentPublication": { "id": "proceedings/islped/2009/8684/0", "title": "Low Power Electronics and Design, International Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icnp/2007/1587/0/04375857", "title": "TCAM Razor: A Systematic Approach Towards Minimizing Packet Classifiers in TCAMs", "doi": null, "abstractUrl": "/proceedings-article/icnp/2007/04375857/12OmNC8MsAi", "parentPublication": { "id": "proceedings/icnp/2007/1587/0", "title": "2007 IEEE International Conference on Network Protocols", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icnp/2017/6501/0/08117542", "title": "General ternary bit strings on commodity longest-prefix-match infrastructures", "doi": null, "abstractUrl": "/proceedings-article/icnp/2017/08117542/12OmNy3iFsE", "parentPublication": { "id": "proceedings/icnp/2017/6501/0", "title": "2017 IEEE 25th International Conference on Network Protocols (ICNP)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/mise/2012/1756/0/06226017", "title": "A categorical model of model merging and weaving", "doi": null, "abstractUrl": "/proceedings-article/mise/2012/06226017/12OmNyNQSK9", "parentPublication": { "id": "proceedings/mise/2012/1756/0", "title": "2012 4th International Workshop Modeling in Software Engineering (MiSE 2012)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccd/2004/2231/0/22310006", "title": "PCAM: A Ternary CAM Optimized for Longest Prefix Matching Tasks", "doi": null, "abstractUrl": "/proceedings-article/iccd/2004/22310006/12OmNyoiYYq", "parentPublication": { "id": "proceedings/iccd/2004/2231/0", "title": "IEEE International Conference on Computer Design: VLSI in Computers and Processors, 2004. 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Proceedings.", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icnp/2009/4635/0/05339695", "title": "Bit weaving: A non-prefix approach to compressing packet classifiers in TCAMs", "doi": null, "abstractUrl": "/proceedings-article/icnp/2009/05339695/12OmNz5JBQ6", "parentPublication": { "id": "proceedings/icnp/2009/4635/0", "title": "2009 17th IEEE International Conference on Network Protocols", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/si/2011/06/05433251", "title": "A Dynamic Longest Prefix Matching Content Addressable Memory for IP Routing", "doi": null, "abstractUrl": "/journal/si/2011/06/05433251/13rRUwdrdQd", "parentPublication": { "id": "trans/si", "title": "IEEE Transactions on Very Large Scale Integration (VLSI) Systems", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/nt/2010/02/05299245", "title": "TCAM Razor: A Systematic Approach Towards Minimizing Packet Classifiers in TCAMs", "doi": null, "abstractUrl": "/journal/nt/2010/02/05299245/13rRUxASuUV", "parentPublication": { "id": "trans/nt", "title": "IEEE/ACM Transactions on Networking", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/nt/2016/01/07147835", "title": "A difference resolution approach to compressing access control lists", "doi": null, "abstractUrl": "/journal/nt/2016/01/07147835/13rRUxcKzTX", "parentPublication": { "id": "trans/nt", "title": "IEEE/ACM Transactions on Networking", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/nt/2022/03/09681820", "title": "Optimal Weighted Load Balancing in TCAMs", "doi": null, "abstractUrl": "/journal/nt/2022/03/09681820/1A9QTVTmwSc", "parentPublication": { "id": "trans/nt", "title": "IEEE/ACM Transactions on Networking", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "06104402", "articleId": "13rRUxcKzTR", "__typename": "AdjacentArticleType" }, "next": { "fno": "06030893", "articleId": "13rRUxjyX1g", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNy2agQO", "title": "Oct.", "year": "2015", "issueNum": "10", "idPrefix": "co", "pubType": "magazine", "volume": "48", "label": "Oct.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwfqpJU", "doi": "10.1109/MC.2015.315", "abstract": "Brain-computer interfaces (BCIs) hold great promise for improving information delivery and preserving user attention, but this promise has not yet translated to practical use. A prototype BCI that optimizes email notifications in noisy, complex environments, CARSON combines multiple measures from the brain to predict both cognitive workload and message relevancy to determine the optimum time to interrupt the user.", "abstracts": [ { "abstractType": "Regular", "content": "Brain-computer interfaces (BCIs) hold great promise for improving information delivery and preserving user attention, but this promise has not yet translated to practical use. A prototype BCI that optimizes email notifications in noisy, complex environments, CARSON combines multiple measures from the brain to predict both cognitive workload and message relevancy to determine the optimum time to interrupt the user.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Brain-computer interfaces (BCIs) hold great promise for improving information delivery and preserving user attention, but this promise has not yet translated to practical use. A prototype BCI that optimizes email notifications in noisy, complex environments, CARSON combines multiple measures from the brain to predict both cognitive workload and message relevancy to determine the optimum time to interrupt the user.", "title": "Designing Brain-Computer Interfaces for Attention-Aware Systems", "normalizedTitle": "Designing Brain-Computer Interfaces for Attention-Aware Systems", "fno": "mco2015100034", "hasPdf": true, "idPrefix": "co", "keywords": [ "Electronic Mail", "Brain Computer Interfaces", "Physiological Computing", "Biomedical Monitoring", "Brain Models", "Sensors", "Noise Measurement", "F NIRS", "Intelligent Systems", "Brain Computer Interfaces", "BC Is", "Attention Aware Systems", "Email", "Cognitive Automatic Real Time Selection Of Notifications", "CARSON", "Human Computer Interaction", "HCI", "Physiological Computing", "Functional Near Infrared Spectroscopy" ], "authors": [ { "givenName": "Evan M.", "surname": "Peck", "fullName": "Evan M. Peck", "affiliation": "Bucknell University and Tufts University", "__typename": "ArticleAuthorType" }, { "givenName": "Emily", "surname": "Carlin", "fullName": "Emily Carlin", "affiliation": "Tufts University", "__typename": "ArticleAuthorType" }, { "givenName": "Robert", "surname": "Jacob", "fullName": "Robert Jacob", "affiliation": "Tufts University", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "10", "pubDate": "2015-10-01 00:00:00", "pubType": "mags", "pages": "34-42", "year": "2015", "issn": "0018-9162", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/bibm/2014/5669/0/06999160", "title": "Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces", "doi": null, "abstractUrl": "/proceedings-article/bibm/2014/06999160/12OmNA14AeU", "parentPublication": { "id": "proceedings/bibm/2014/5669/0", "title": "2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/acii/2009/4800/0/05349478", "title": "Emotional brain-computer interfaces", "doi": null, "abstractUrl": "/proceedings-article/acii/2009/05349478/12OmNBKmXj3", "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/acii/2013/5048/0/5048a827", "title": "Affective Brain-Computer Interfaces for Arts", "doi": null, "abstractUrl": "/proceedings-article/acii/2013/5048a827/12OmNBUS74y", "parentPublication": { "id": "proceedings/acii/2013/5048/0", "title": "2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/trustcom/2012/4745/0/4745b785", "title": "Robot Navigation Using Brain-Computer Interfaces", "doi": null, "abstractUrl": "/proceedings-article/trustcom/2012/4745b785/12OmNC8dgpB", "parentPublication": { "id": "proceedings/trustcom/2012/4745/0", "title": "2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/acii/2009/4800/0/05349479", "title": "Affective brain-computer interfaces: Psychophysiological markers of emotion in healthy persons and in persons with amyotrophic lateral sclerosis", "doi": null, "abstractUrl": "/proceedings-article/acii/2009/05349479/12OmNqN6R3b", "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/acii/2009/4800/0/05349481", "title": "Sparse matrix factorization for brain computer interfaces", "doi": null, "abstractUrl": "/proceedings-article/acii/2009/05349481/12OmNwtEEL7", "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/wccct/2014/2877/0/2877a071", "title": "Bagging of EEG Signals for Brain Computer Interface", "doi": null, "abstractUrl": "/proceedings-article/wccct/2014/2877a071/12OmNxXl5wh", "parentPublication": { "id": "proceedings/wccct/2014/2877/0", "title": "2014 World Congress on Computing and Communication Technologies (WCCCT)", "__typename": "ParentPublication" }, "__typename": 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{ "issue": { "id": "12OmNyq0zFC", "title": "Mar.-Apr.", "year": "2017", "issueNum": "02", "idPrefix": "cg", "pubType": "magazine", "volume": "37", "label": "Mar.-Apr.", "downloadables": { "hasCover": true, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxbCble", "doi": "10.1109/MCG.2016.38", "abstract": "As wearable devices gain acceptance, we need to ask, What will user interfaces look like in a post-smartphone world? Will these future interfaces support sophisticated interactions in a mobile context? The authors draw from visual analytics concepts to address the growing need for individuals to manage information on personal devices. Spatial analytic interfaces (SAIs) can leverage the benefits of spatial interaction to enable everyday visual analytics tasks to be performed in-situ, at the most beneficial place and time. They explore the possibilities for such interfaces using head-worn display technology and discuss current developments and future research goals for the successful development of SAIs.", "abstracts": [ { "abstractType": "Regular", "content": "As wearable devices gain acceptance, we need to ask, What will user interfaces look like in a post-smartphone world? Will these future interfaces support sophisticated interactions in a mobile context? The authors draw from visual analytics concepts to address the growing need for individuals to manage information on personal devices. Spatial analytic interfaces (SAIs) can leverage the benefits of spatial interaction to enable everyday visual analytics tasks to be performed in-situ, at the most beneficial place and time. They explore the possibilities for such interfaces using head-worn display technology and discuss current developments and future research goals for the successful development of SAIs.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "As wearable devices gain acceptance, we need to ask, What will user interfaces look like in a post-smartphone world? Will these future interfaces support sophisticated interactions in a mobile context? The authors draw from visual analytics concepts to address the growing need for individuals to manage information on personal devices. Spatial analytic interfaces (SAIs) can leverage the benefits of spatial interaction to enable everyday visual analytics tasks to be performed in-situ, at the most beneficial place and time. They explore the possibilities for such interfaces using head-worn display technology and discuss current developments and future research goals for the successful development of SAIs.", "title": "Spatial Analytic Interfaces: Spatial User Interfaces for In Situ Visual Analytics", "normalizedTitle": "Spatial Analytic Interfaces: Spatial User Interfaces for In Situ Visual Analytics", "fno": "mcg2017020066", "hasPdf": true, "idPrefix": "cg", "keywords": [ "Mobile Communication", "Biomedical Monitoring", "Heart Rate", "Visualization", "Wearable Computing", "User Centered Design", "Head Worn Displays", "Computer Graphics", "Spatial User Interface", "Visual Analytics", "Immersive Analytics", "Augmented Reality" ], "authors": [ { "givenName": "Barrett", "surname": "Ens", "fullName": "Barrett Ens", "affiliation": "University of Manitoba", "__typename": "ArticleAuthorType" }, { "givenName": "Pourang", "surname": "Irani", "fullName": "Pourang Irani", "affiliation": "University of Manitoba", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "02", "pubDate": "2017-03-01 00:00:00", "pubType": "mags", "pages": "66-79", "year": "2017", "issn": "0272-1716", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/acii/2015/9953/0/07344590", "title": "Data-objects: Re-designing everyday objects as tactile affective interfaces", "doi": null, "abstractUrl": "/proceedings-article/acii/2015/07344590/12OmNAqkSFl", "parentPublication": { "id": "proceedings/acii/2015/9953/0", "title": "2015 International Conference on Affective Computing and Intelligent Interaction (ACII)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vast/2006/0591/0/04035758", "title": "Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information", "doi": null, "abstractUrl": "/proceedings-article/vast/2006/04035758/12OmNqBtj1L", "parentPublication": { "id": "proceedings/vast/2006/0591/0", "title": "2006 IEEE Symposium On Visual Analytics Science And Technology", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iv/2002/1656/0/16560730", "title": "Representing Spatial Information through Multimodal Interfaces", "doi": null, "abstractUrl": "/proceedings-article/iv/2002/16560730/12OmNwdtw7K", "parentPublication": { "id": "proceedings/iv/2002/1656/0", "title": "Proceedings Sixth International Conference on Information Visualisation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/hicss/2011/9618/0/05718615", "title": "Expanding the Scope: Interaction Design Perspectives for Visual Analytics", "doi": null, "abstractUrl": "/proceedings-article/hicss/2011/05718615/12OmNxGSm6x", "parentPublication": { "id": "proceedings/hicss/2011/9618/0", "title": "2011 44th Hawaii International Conference on System Sciences", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cbms/2016/9036/0/9036a158", "title": "Big Data Analytics for Resilience Assessment and Development in Tactical Training Serious Games", "doi": null, "abstractUrl": "/proceedings-article/cbms/2016/9036a158/12OmNzmclIx", "parentPublication": { "id": "proceedings/cbms/2016/9036/0", "title": "2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2012/05/mcg2012050003", "title": "A New Department: Spatial Interfaces", "doi": null, "abstractUrl": "/magazine/cg/2012/05/mcg2012050003/13rRUxYINaL", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/cg/2015/04/mcg2015040006", "title": "Spatial Interfaces", "doi": null, "abstractUrl": "/magazine/cg/2015/04/mcg2015040006/13rRUzpzeDA", "parentPublication": { "id": "mags/cg", "title": "IEEE Computer Graphics and Applications", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tk/2020/12/08713905", "title": "Skia: Scalable and Efficient In-Memory Analytics for Big Spatial-Textual Data", "doi": null, "abstractUrl": "/journal/tk/2020/12/08713905/1a316eHmD0A", "parentPublication": { "id": "trans/tk", "title": "IEEE Transactions on Knowledge & Data Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2021/10/09078839", "title": "Visual Analytics for Hypothesis-Driven Exploration in Computational Pathology", "doi": null, "abstractUrl": "/journal/tg/2021/10/09078839/1joA7ebE8Pm", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icalt/2020/6090/0/09155889", "title": "A Sophisticated Platform for Learning Analytics with Wearable Devices", "doi": null, "abstractUrl": "/proceedings-article/icalt/2020/09155889/1m1j21uVaIU", "parentPublication": { "id": "proceedings/icalt/2020/6090/0", "title": "2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "mcg2017020054", "articleId": "13rRUIJcWg1", "__typename": "AdjacentArticleType" }, "next": { "fno": "mcg2017020080", "articleId": "13rRUy3gmXB", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNBp52xz", "title": "Dec.", "year": "2016", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "22", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxly9dX", "doi": "10.1109/TVCG.2016.2515614", "abstract": "Similar objects are ubiquitous and abundant in both natural and artificial scenes. Determining the visual importance of several similar objects in a complex photograph is a challenge for image understanding algorithms. This study aims to define the importance of similar objects in an image and to develop a method that can select the most important instances for an input image from multiple similar objects. This task is challenging because multiple objects must be compared without adequate semantic information. This challenge is addressed by building an image database and designing an interactive system to measure object importance from human observers. This ground truth is used to define a range of features related to the visual importance of similar objects. Then, these features are used in learning-to-rank and random forest to rank similar objects in an image. Importance predictions were validated on 5,922 objects. The most important objects can be identified automatically. The factors related to composition (e.g., size, location, and overlap) are particularly informative, although clarity and color contrast are also important. We demonstrate the usefulness of similar object importance on various applications, including image retargeting, image compression, image re-attentionizing, image admixture, and manipulation of blindness images.", "abstracts": [ { "abstractType": "Regular", "content": "Similar objects are ubiquitous and abundant in both natural and artificial scenes. Determining the visual importance of several similar objects in a complex photograph is a challenge for image understanding algorithms. This study aims to define the importance of similar objects in an image and to develop a method that can select the most important instances for an input image from multiple similar objects. This task is challenging because multiple objects must be compared without adequate semantic information. This challenge is addressed by building an image database and designing an interactive system to measure object importance from human observers. This ground truth is used to define a range of features related to the visual importance of similar objects. Then, these features are used in learning-to-rank and random forest to rank similar objects in an image. Importance predictions were validated on 5,922 objects. The most important objects can be identified automatically. The factors related to composition (e.g., size, location, and overlap) are particularly informative, although clarity and color contrast are also important. We demonstrate the usefulness of similar object importance on various applications, including image retargeting, image compression, image re-attentionizing, image admixture, and manipulation of blindness images.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Similar objects are ubiquitous and abundant in both natural and artificial scenes. Determining the visual importance of several similar objects in a complex photograph is a challenge for image understanding algorithms. This study aims to define the importance of similar objects in an image and to develop a method that can select the most important instances for an input image from multiple similar objects. This task is challenging because multiple objects must be compared without adequate semantic information. This challenge is addressed by building an image database and designing an interactive system to measure object importance from human observers. This ground truth is used to define a range of features related to the visual importance of similar objects. Then, these features are used in learning-to-rank and random forest to rank similar objects in an image. Importance predictions were validated on 5,922 objects. The most important objects can be identified automatically. The factors related to composition (e.g., size, location, and overlap) are particularly informative, although clarity and color contrast are also important. We demonstrate the usefulness of similar object importance on various applications, including image retargeting, image compression, image re-attentionizing, image admixture, and manipulation of blindness images.", "title": "Measuring and Predicting Visual Importance of Similar Objects", "normalizedTitle": "Measuring and Predicting Visual Importance of Similar Objects", "fno": "07374748", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Visualization", "Image Segmentation", "Semantics", "Electronic Mail", "Image Color Analysis", "Animals", "Object Detection", "Listwise Ranking", "Similar Objects", "Visual Importance" ], "authors": [ { "givenName": "Yan", "surname": "Kong", "fullName": "Yan Kong", "affiliation": "NLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, Beijing, China", "__typename": "ArticleAuthorType" }, { "givenName": "Weiming", "surname": "Dong", "fullName": "Weiming Dong", "affiliation": "NLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, Beijing, China", "__typename": "ArticleAuthorType" }, { "givenName": "Xing", "surname": "Mei", "fullName": "Xing Mei", "affiliation": "NLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, Beijing, China", "__typename": "ArticleAuthorType" }, { "givenName": "Chongyang", "surname": "Ma", "fullName": "Chongyang Ma", "affiliation": "University of Southern California, CA", "__typename": "ArticleAuthorType" }, { "givenName": "Tong-Yee", "surname": "Lee", "fullName": "Tong-Yee Lee", "affiliation": "National Cheng-Kung University, Taiwan", "__typename": "ArticleAuthorType" }, { "givenName": "Siwei", "surname": "Lyu", "fullName": "Siwei Lyu", "affiliation": "University at Albany-SUNY, Albany, NY", "__typename": "ArticleAuthorType" }, { "givenName": "Feiyue", "surname": "Huang", "fullName": "Feiyue Huang", "affiliation": "Tencent, China", "__typename": "ArticleAuthorType" }, { "givenName": "Xiaopeng", "surname": "Zhang", "fullName": "Xiaopeng Zhang", "affiliation": "NLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, Beijing, China", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2016-12-01 00:00:00", "pubType": "trans", "pages": "2564-2578", "year": "2016", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/cvpr/2012/1226/0/450P3C22", "title": "Understanding and predicting importance in images", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2012/450P3C22/12OmNBtl1sf", "parentPublication": { "id": "proceedings/cvpr/2012/1226/0", "title": "2012 IEEE Conference on Computer Vision and Pattern Recognition", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2016/8851/0/8851e810", "title": "Event-Specific Image Importance", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2016/8851e810/12OmNC8uRuy", "parentPublication": { "id": "proceedings/cvpr/2016/8851/0", "title": "2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/fit/2016/5300/0/5300a252", "title": "Scene Completion Using Top-1 Similar Image", "doi": null, "abstractUrl": "/proceedings-article/fit/2016/5300a252/12OmNCf1DwX", "parentPublication": { "id": "proceedings/fit/2016/5300/0", "title": "2016 International Conference on Frontiers of Information Technology (FIT)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ncvpripg/2011/4599/0/4599a025", "title": "A Fast Interactive Image Segmentation to Locate Multiple Similar-colored Objects", "doi": null, "abstractUrl": "/proceedings-article/ncvpripg/2011/4599a025/12OmNxeutbx", "parentPublication": { "id": "proceedings/ncvpripg/2011/4599/0", "title": "Computer Vision, Pattern Recognition, Image Processing and Graphics, National Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wacv/2015/6683/0/6683a960", "title": "Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration", "doi": null, "abstractUrl": "/proceedings-article/wacv/2015/6683a960/12OmNxvwoXk", "parentPublication": { "id": "proceedings/wacv/2015/6683/0", "title": "2015 IEEE Winter Conference on Applications of Computer Vision (WACV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/2017/12/07814315", "title": "Measuring and Predicting Tag Importance for Image Retrieval", "doi": null, "abstractUrl": "/journal/tp/2017/12/07814315/13rRUwfZBWA", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/2017/04/07464858", "title": "Salient Object Detection via Structured Matrix Decomposition", "doi": null, "abstractUrl": "/journal/tp/2017/04/07464858/13rRUxASuqE", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/2017/09/07567535", "title": "Ranking Saliency", "doi": null, "abstractUrl": "/journal/tp/2017/09/07567535/13rRUyYjK3Y", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iciev-&-icivpr/2018/5163/0/08641011", "title": "Efficient multi-cue predictive tracking of multiple similar interacting objects", "doi": null, "abstractUrl": "/proceedings-article/iciev-&-icivpr/2018/08641011/17PYEmtOUYo", "parentPublication": { "id": "proceedings/iciev-&-icivpr/2018/5163/0", "title": "2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cvpr/2021/4509/0/450900l1586", "title": "Simultaneously Localize, Segment and Rank the Camouflaged Objects", "doi": null, "abstractUrl": "/proceedings-article/cvpr/2021/450900l1586/1yeIWo0ZOzC", "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": "07374742", "articleId": "13rRUwgQpDx", "__typename": "AdjacentArticleType" }, "next": { "fno": "07369991", "articleId": "13rRUxBa5s2", "__typename": "AdjacentArticleType" }, "__typename": 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{ "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": "13rRUxASuAr", "doi": "10.1109/TVCG.2008.114", "abstract": "The treemap is one of the most popular methods for visualizing hierarchical data. When a treemap contains a large number of items, inspecting or comparing a few selected items in a greater level of detail becomes very challenging. In this paper, we present a seamless multi-focus and context technique, called Balloon Focus, that allows the user to smoothly enlarge multiple treemap items served as the foci, while maintaining a stable treemap layout as the context. Our method has several desirable features. First, this method is quite general and hence can be used with different treemap layout algorithms. Second, as the foci are enlarged, the relative positions among all items are preserved. Third, the foci are placed in a way that the remaining space is evenly distributed back to the non-focus treemap items. When Balloon Focus maximizes the possible zoom factor for the focus items, these features ensure that the treemap will maintain a consistent appearance and avoid any abrupt layout changes. In our algorithm, a DAG (Directed Acyclic Graph) is used to maintain the positional constraints, and an elastic model is employed to govern the placement of the treemap items. We demonstrate a treemap visualization system that integrates data query, manual focus selection, and our novel multi-focus+context technique, Balloon Focus, together. A user study was conducted. Results show that with Balloon Focus, users can better perform the tasks of comparing the values and the distribution of the foci.", "abstracts": [ { "abstractType": "Regular", "content": "The treemap is one of the most popular methods for visualizing hierarchical data. When a treemap contains a large number of items, inspecting or comparing a few selected items in a greater level of detail becomes very challenging. In this paper, we present a seamless multi-focus and context technique, called Balloon Focus, that allows the user to smoothly enlarge multiple treemap items served as the foci, while maintaining a stable treemap layout as the context. Our method has several desirable features. First, this method is quite general and hence can be used with different treemap layout algorithms. Second, as the foci are enlarged, the relative positions among all items are preserved. Third, the foci are placed in a way that the remaining space is evenly distributed back to the non-focus treemap items. When Balloon Focus maximizes the possible zoom factor for the focus items, these features ensure that the treemap will maintain a consistent appearance and avoid any abrupt layout changes. In our algorithm, a DAG (Directed Acyclic Graph) is used to maintain the positional constraints, and an elastic model is employed to govern the placement of the treemap items. We demonstrate a treemap visualization system that integrates data query, manual focus selection, and our novel multi-focus+context technique, Balloon Focus, together. A user study was conducted. Results show that with Balloon Focus, users can better perform the tasks of comparing the values and the distribution of the foci.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "The treemap is one of the most popular methods for visualizing hierarchical data. When a treemap contains a large number of items, inspecting or comparing a few selected items in a greater level of detail becomes very challenging. In this paper, we present a seamless multi-focus and context technique, called Balloon Focus, that allows the user to smoothly enlarge multiple treemap items served as the foci, while maintaining a stable treemap layout as the context. Our method has several desirable features. First, this method is quite general and hence can be used with different treemap layout algorithms. Second, as the foci are enlarged, the relative positions among all items are preserved. Third, the foci are placed in a way that the remaining space is evenly distributed back to the non-focus treemap items. When Balloon Focus maximizes the possible zoom factor for the focus items, these features ensure that the treemap will maintain a consistent appearance and avoid any abrupt layout changes. In our algorithm, a DAG (Directed Acyclic Graph) is used to maintain the positional constraints, and an elastic model is employed to govern the placement of the treemap items. We demonstrate a treemap visualization system that integrates data query, manual focus selection, and our novel multi-focus+context technique, Balloon Focus, together. A user study was conducted. Results show that with Balloon Focus, users can better perform the tasks of comparing the values and the distribution of the foci.", "title": "Balloon Focus: a Seamless Multi-Focus+Context Method for Treemaps", "normalizedTitle": "Balloon Focus: a Seamless Multi-Focus+Context Method for Treemaps", "fno": "ttg2008061157", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Index Terms Treemap", "Focus Context", "Multi Focus", "Fisheye", "Magnification", "Visualizing Query Results", "Multi Scale Viewing" ], "authors": [ { "givenName": "Ying", "surname": "Tu", "fullName": "Ying Tu", "affiliation": "the Ohio State University", "__typename": "ArticleAuthorType" }, { "givenName": "Han-Wei", "surname": "Shen", "fullName": "Han-Wei Shen", "affiliation": "the Ohio State University", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2008-11-01 00:00:00", "pubType": "trans", "pages": "1157-1164", "year": "2008", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/ieee-infovis/2000/0804/0/08040085", "title": "Redefining the Focus and Context of Focus+Context Visualizations", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2000/08040085/12OmNB0nW9E", "parentPublication": { "id": "proceedings/ieee-infovis/2000/0804/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cgiv/2005/2392/0/23920162", "title": "DualView: A Focus+Context Technique for Navigating Large Graphs", "doi": null, "abstractUrl": "/proceedings-article/cgiv/2005/23920162/12OmNBBQZqd", "parentPublication": { "id": "proceedings/cgiv/2005/2392/0", "title": "International Conference on Computer Graphics, Imaging and Visualization (CGIV'05)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/artcom/2009/3845/0/3845a887", "title": "Multi-Focus Image Fusion of Digital Images", "doi": null, "abstractUrl": "/proceedings-article/artcom/2009/3845a887/12OmNBSBkb2", "parentPublication": { "id": "proceedings/artcom/2009/3845/0", "title": "Advances in Recent Technologies in Communication and Computing, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ieee-infovis/2003/2055/0/20550008", "title": "MoireGraphs: Radial Focus+Context Visualization and Interaction for Graphs with Visual Nodes", "doi": null, "abstractUrl": "/proceedings-article/ieee-infovis/2003/20550008/12OmNxiKrV4", "parentPublication": { "id": "proceedings/ieee-infovis/2003/2055/0", "title": "Information Visualization, IEEE Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/isda/2008/3382/1/3382a368", "title": "Intelligent Focus+Context Volume Visualization", "doi": null, "abstractUrl": "/proceedings-article/isda/2008/3382a368/12OmNy5R3sk", "parentPublication": { "id": "proceedings/isda/2008/3382/1", "title": "Intelligent Systems Design and Applications, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/wgec/2009/3899/0/3899a442", "title": "Multi-focus Image Fusion Algorithms Research Based on Curvelet Transform", "doi": null, "abstractUrl": "/proceedings-article/wgec/2009/3899a442/12OmNyGtjcu", "parentPublication": { "id": "proceedings/wgec/2009/3899/0", "title": "Genetic and Evolutionary Computing, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cadgraphics/2011/4497/0/4497a389", "title": "2.5D Focus+Context Map Visualization", "doi": null, "abstractUrl": "/proceedings-article/cadgraphics/2011/4497a389/12OmNyKrHen", "parentPublication": { "id": "proceedings/cadgraphics/2011/4497/0", "title": "Computer-Aided Design and Computer Graphics, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/1997/12/i1360", "title": "Telecentric Optics for Focus Analysis", "doi": null, "abstractUrl": "/journal/tp/1997/12/i1360/13rRUwInvzq", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2008/06/ttg2008061731", "title": "Focus+Context Visualization with Distortion Minimization", "doi": null, "abstractUrl": "/journal/tg/2008/06/ttg2008061731/13rRUxASuGb", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1286", "title": "Visualizing Changes of Hierarchical Data using Treemaps", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1286/13rRUy0qnLA", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2008061149", "articleId": "13rRUxAASSX", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2008061165", "articleId": "13rRUxBrGgQ", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNzd7bmf", "title": "March", "year": "2011", "issueNum": "03", "idPrefix": "tg", "pubType": "journal", "volume": "17", "label": "March", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwInvsL", "doi": "10.1109/TVCG.2010.45", "abstract": "We introduce hi-trees, a new visual representation for hierarchical data in which, depending on the kind of parent node, the child relationship is represented using either containment or links. We give a drawing convention for hi-trees based on the standard layered drawing convention for rooted trees, then show how to extend standard bottom-up tree layout algorithms to draw hi-trees in this convention. We also explore a number of other more compact layout styles for layout of larger hi-trees and give algorithms for computing these. Finally, we describe two applications of hi-trees: argument mapping and business decision support.", "abstracts": [ { "abstractType": "Regular", "content": "We introduce hi-trees, a new visual representation for hierarchical data in which, depending on the kind of parent node, the child relationship is represented using either containment or links. We give a drawing convention for hi-trees based on the standard layered drawing convention for rooted trees, then show how to extend standard bottom-up tree layout algorithms to draw hi-trees in this convention. We also explore a number of other more compact layout styles for layout of larger hi-trees and give algorithms for computing these. Finally, we describe two applications of hi-trees: argument mapping and business decision support.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We introduce hi-trees, a new visual representation for hierarchical data in which, depending on the kind of parent node, the child relationship is represented using either containment or links. We give a drawing convention for hi-trees based on the standard layered drawing convention for rooted trees, then show how to extend standard bottom-up tree layout algorithms to draw hi-trees in this convention. We also explore a number of other more compact layout styles for layout of larger hi-trees and give algorithms for computing these. Finally, we describe two applications of hi-trees: argument mapping and business decision support.", "title": "Hi-Trees and Their Layout", "normalizedTitle": "Hi-Trees and Their Layout", "fno": "ttg2011030290", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Tree Layout", "Hi Tree", "Argument Mapping", "Decision Support", "Information Visualization" ], "authors": [ { "givenName": "Kim", "surname": "Marriott", "fullName": "Kim Marriott", "affiliation": "Monash University, Clayton", "__typename": "ArticleAuthorType" }, { "givenName": "Peter", "surname": "Sbarski", "fullName": "Peter Sbarski", "affiliation": "1/42 Elizabeth Str, Bentleigh East", "__typename": "ArticleAuthorType" }, { "givenName": "Tim", "surname": "van Gelder", "fullName": "Tim van Gelder", "affiliation": "Austhink Consulting, Melbourne", "__typename": "ArticleAuthorType" }, { "givenName": "Daniel", "surname": "Prager", "fullName": "Daniel Prager", "affiliation": "Austhink Software, Victoria", "__typename": "ArticleAuthorType" }, { "givenName": "Andy", "surname": "Bulka", "fullName": "Andy Bulka", "affiliation": "Magian Design Studio, Wyndham Vale", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "03", "pubDate": "2011-03-01 00:00:00", "pubType": "trans", "pages": "290-304", "year": "2011", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/iv/2003/1988/0/19880272", "title": "Layout Metrics for Euler Diagrams", "doi": null, "abstractUrl": "/proceedings-article/iv/2003/19880272/12OmNvD8RBs", "parentPublication": { "id": "proceedings/iv/2003/1988/0", "title": "Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icis/2010/4147/0/4147a341", "title": "An Attribute Graph Grammar Enabling Narrower Drawings of Trees", "doi": null, "abstractUrl": "/proceedings-article/icis/2010/4147a341/12OmNvT2pi6", "parentPublication": { "id": "proceedings/icis/2010/4147/0", "title": "Computer and Information Science, ACIS International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icicta/2010/4077/3/4077e743", "title": "The Correlation Analysis of S and T Policy and Innovation of Hi-tech Enterprises", "doi": null, "abstractUrl": "/proceedings-article/icicta/2010/4077e743/12OmNxXCGKK", "parentPublication": { "id": "proceedings/icicta/2010/4077/3", "title": "Intelligent Computation Technology and Automation, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2011/11/ttg2011111599", "title": "Drawing Contour Trees in the Plane", "doi": null, "abstractUrl": "/journal/tg/2011/11/ttg2011111599/13rRUwbs2go", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/so/1990/04/s4021", "title": "Drawing Dynamic Trees", "doi": null, "abstractUrl": "/magazine/so/1990/04/s4021/13rRUwhpBMh", "parentPublication": { "id": "mags/so", "title": "IEEE Software", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tc/1986/12/01676713", "title": "An Array Layout Methodology for VLSI Circuits", "doi": null, "abstractUrl": "/journal/tc/1986/12/01676713/13rRUxlgxSk", "parentPublication": { "id": "trans/tc", "title": "IEEE Transactions on Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/ts/1981/02/01702828", "title": "Tidier Drawings of Trees", "doi": null, "abstractUrl": "/journal/ts/1981/02/01702828/13rRUxly8Uv", "parentPublication": { "id": "trans/ts", "title": "IEEE Transactions on Software Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tp/1995/04/i0432", "title": "Layout Recognition of Multi-Kinds of Table-Form Documents", "doi": null, "abstractUrl": "/journal/tp/1995/04/i0432/13rRUygT7g3", "parentPublication": { "id": "trans/tp", "title": "IEEE Transactions on Pattern Analysis & Machine Intelligence", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08443124", "title": "Temporal Treemaps: Static Visualization of Evolving Trees", "doi": null, "abstractUrl": "/journal/tg/2019/01/08443124/17D45Wda7eb", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/vis/2019/4941/0/08933606", "title": "Overlap-Free Drawing of Generalized Pythagoras Trees for Hierarchy Visualization", "doi": null, "abstractUrl": "/proceedings-article/vis/2019/08933606/1fTgJHbs9pu", "parentPublication": { "id": "proceedings/vis/2019/4941/0", "title": "2019 IEEE Visualization Conference (VIS)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttg2011030276", "articleId": "13rRUwbs1Su", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttg2011030305", "articleId": "13rRUx0xPi5", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNvqEvQN", "title": "July", "year": "1987", "issueNum": "07", "idPrefix": "ts", "pubType": "journal", "volume": "13", "label": "July", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwdIOTD", "doi": "10.1109/TSE.1987.233491", "abstract": "It is shown how a highly compact representation of binary trees can be used as the basis of two access methods for dynamic files, called BDS-trees and S-trees, respectively. Both these methods preserve key-order and offer easy and efficient sequential access. They are different in the way the compact binary trees are used for searching. With a BDS-tree the search is a digital search using binary digits. Although the S-tree search is performed on a bit-by-bit basis as well, it will appear to be slightly different. Actually, with S-trees the compact binary trees are used to represent separators at low storage costs. As a result, the fan-out, and thus performance, of a B-tree can be improved by using within each index page an S-tree for representing separators efficiently.", "abstracts": [ { "abstractType": "Regular", "content": "It is shown how a highly compact representation of binary trees can be used as the basis of two access methods for dynamic files, called BDS-trees and S-trees, respectively. Both these methods preserve key-order and offer easy and efficient sequential access. They are different in the way the compact binary trees are used for searching. With a BDS-tree the search is a digital search using binary digits. Although the S-tree search is performed on a bit-by-bit basis as well, it will appear to be slightly different. Actually, with S-trees the compact binary trees are used to represent separators at low storage costs. As a result, the fan-out, and thus performance, of a B-tree can be improved by using within each index page an S-tree for representing separators efficiently.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "It is shown how a highly compact representation of binary trees can be used as the basis of two access methods for dynamic files, called BDS-trees and S-trees, respectively. Both these methods preserve key-order and offer easy and efficient sequential access. They are different in the way the compact binary trees are used for searching. With a BDS-tree the search is a digital search using binary digits. Although the S-tree search is performed on a bit-by-bit basis as well, it will appear to be slightly different. Actually, with S-trees the compact binary trees are used to represent separators at low storage costs. As a result, the fan-out, and thus performance, of a B-tree can be improved by using within each index page an S-tree for representing separators efficiently.", "title": "Two Access Methods Using Compact Binary Trees", "normalizedTitle": "Two Access Methods Using Compact Binary Trees", "fno": "01702291", "hasPdf": true, "idPrefix": "ts", "keywords": [ "Tree", "Access Iethod", "B Tree", "File", "Searching" ], "authors": [ { "givenName": "W.", "surname": "De Jonge", "fullName": "W. De Jonge", "affiliation": "Department of Mathematics and Computer Science, Vrije Universiteit", "__typename": "ArticleAuthorType" }, { "givenName": "A.S.", "surname": "Tanenbaum", "fullName": "A.S. Tanenbaum", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "R.P.", "surname": "Van De Riet", "fullName": "R.P. Van De Riet", "affiliation": null, "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "07", "pubDate": "1987-07-01 00:00:00", "pubType": "trans", "pages": "799-810", "year": "1987", "issn": "0098-5589", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/hicss/1995/6935/0/69350546", "title": "Embeddings of complete binary trees into star graphs with congestion 1", "doi": null, "abstractUrl": "/proceedings-article/hicss/1995/69350546/12OmNwDj162", "parentPublication": { "id": "proceedings/hicss/1995/6935/0", "title": "28th Hawaii International Conference on System Sciences (HICSS'95)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/his/2009/3745/1/3745a078", "title": "A Developed Restricted Rotation for Binary Trees Transformation", "doi": null, "abstractUrl": "/proceedings-article/his/2009/3745a078/12OmNxRWIcX", "parentPublication": { "id": "proceedings/his/2009/3745/1", "title": "Hybrid Intelligent Systems, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icwsi/1991/9126/0/00151708", "title": "Reconfiguration of binary trees: the flow-driven approach", "doi": null, "abstractUrl": "/proceedings-article/icwsi/1991/00151708/12OmNyLiuyE", "parentPublication": { "id": "proceedings/icwsi/1991/9126/0", "title": "1991 International Conference on Wafer Scale Integration", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ispan/2000/0936/0/09360140", "title": "Three-Dimensional Embedding of Binary Trees", "doi": null, "abstractUrl": "/proceedings-article/ispan/2000/09360140/12OmNyS6RyS", "parentPublication": { "id": "proceedings/ispan/2000/0936/0", "title": "Parallel Architectures, Algorithms, and Networks, International Symposium on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ispan/2002/1579/0/15790281", "title": "Fixed Layer Embeddings of Binary Trees", "doi": null, "abstractUrl": "/proceedings-article/ispan/2002/15790281/12OmNyfdOPv", "parentPublication": { "id": "proceedings/ispan/2002/1579/0", "title": "Proceedings 2002 International Symposium on Parallel Architectures, Algorithms, and Networks", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/infcom/1991/694/0/00147565", "title": "Growing binary trees in a random environment", "doi": null, "abstractUrl": "/proceedings-article/infcom/1991/00147565/12OmNzZ5onu", "parentPublication": { "id": "proceedings/infcom/1991/694/0", "title": "IEEE INFCOM '91 - Communications Societies Proceedings", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/ts/1979/04/01702638", "title": "Multidimensional Binary Search Trees in Database Applications", "doi": null, "abstractUrl": "/journal/ts/1979/04/01702638/13rRUwI5UhJ", "parentPublication": { "id": "trans/ts", "title": "IEEE Transactions on Software Engineering", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tc/1989/07/t0968", "title": "Multidimensional Balanced Binary Trees", "doi": null, "abstractUrl": "/journal/tc/1989/07/t0968/13rRUwIF6d3", "parentPublication": { "id": "trans/tc", "title": "IEEE Transactions on Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/5555/01/ttb2011990020", "title": "Matching Split Distance for Unrooted Binary Phylogenetic Trees", "doi": null, "abstractUrl": "/journal/tb/5555/01/ttb2011990020/13rRUxYIMTx", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tc/1983/03/01676223", "title": "Binary Trees and Parallel Scheduling Algorithms", "doi": null, "abstractUrl": "/journal/tc/1983/03/01676223/13rRUy0HYQg", "parentPublication": { "id": "trans/tc", "title": "IEEE Transactions on Computers", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "01702290", "articleId": "13rRUNvyagC", "__typename": "AdjacentArticleType" }, "next": { "fno": "01702292", "articleId": "13rRUx0xQ14", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNBTawgO", "title": "October-December", "year": "2009", "issueNum": "04", "idPrefix": "tb", "pubType": "journal", "volume": "6", "label": "October-December", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUy2YLWG", "doi": "10.1109/TCBB.2007.70270", "abstract": "Phylogenetic networks are a generalization of phylogenetic trees that allow for the representation of nontreelike evolutionary events, like recombination, hybridization, or lateral gene transfer. While much progress has been made to find practical algorithms for reconstructing a phylogenetic network from a set of sequences, all attempts to endorse a class of phylogenetic networks (strictly extending the class of phylogenetic trees) with a well-founded distance measure have, to the best of our knowledge and with the only exception of the bipartition distance on regular networks, failed so far. In this paper, we present and study a new meaningful class of phylogenetic networks, called tree-child phylogenetic networks, and we provide an injective representation of these networks as multisets of vectors of natural numbers, their path multiplicity vectors. We then use this representation to define a distance on this class that extends the well-known Robinson-Foulds distance for phylogenetic trees and to give an alignment method for pairs of networks in this class. Simple polynomial algorithms for reconstructing a tree-child phylogenetic network from its path multiplicity vectors, for computing the distance between two tree-child phylogenetic networks and for aligning a pair of tree-child phylogenetic networks, are provided. They have been implemented as a Perl package and a Java applet, which can be found at http://bioinfo.uib.es/~recerca/phylonetworks/mudistance/.", "abstracts": [ { "abstractType": "Regular", "content": "Phylogenetic networks are a generalization of phylogenetic trees that allow for the representation of nontreelike evolutionary events, like recombination, hybridization, or lateral gene transfer. While much progress has been made to find practical algorithms for reconstructing a phylogenetic network from a set of sequences, all attempts to endorse a class of phylogenetic networks (strictly extending the class of phylogenetic trees) with a well-founded distance measure have, to the best of our knowledge and with the only exception of the bipartition distance on regular networks, failed so far. In this paper, we present and study a new meaningful class of phylogenetic networks, called tree-child phylogenetic networks, and we provide an injective representation of these networks as multisets of vectors of natural numbers, their path multiplicity vectors. We then use this representation to define a distance on this class that extends the well-known Robinson-Foulds distance for phylogenetic trees and to give an alignment method for pairs of networks in this class. Simple polynomial algorithms for reconstructing a tree-child phylogenetic network from its path multiplicity vectors, for computing the distance between two tree-child phylogenetic networks and for aligning a pair of tree-child phylogenetic networks, are provided. They have been implemented as a Perl package and a Java applet, which can be found at http://bioinfo.uib.es/~recerca/phylonetworks/mudistance/.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Phylogenetic networks are a generalization of phylogenetic trees that allow for the representation of nontreelike evolutionary events, like recombination, hybridization, or lateral gene transfer. While much progress has been made to find practical algorithms for reconstructing a phylogenetic network from a set of sequences, all attempts to endorse a class of phylogenetic networks (strictly extending the class of phylogenetic trees) with a well-founded distance measure have, to the best of our knowledge and with the only exception of the bipartition distance on regular networks, failed so far. In this paper, we present and study a new meaningful class of phylogenetic networks, called tree-child phylogenetic networks, and we provide an injective representation of these networks as multisets of vectors of natural numbers, their path multiplicity vectors. We then use this representation to define a distance on this class that extends the well-known Robinson-Foulds distance for phylogenetic trees and to give an alignment method for pairs of networks in this class. Simple polynomial algorithms for reconstructing a tree-child phylogenetic network from its path multiplicity vectors, for computing the distance between two tree-child phylogenetic networks and for aligning a pair of tree-child phylogenetic networks, are provided. They have been implemented as a Perl package and a Java applet, which can be found at http://bioinfo.uib.es/~recerca/phylonetworks/mudistance/.", "title": "Comparison of Tree-Child Phylogenetic Networks", "normalizedTitle": "Comparison of Tree-Child Phylogenetic Networks", "fno": "ttb2009040552", "hasPdf": true, "idPrefix": "tb", "keywords": [ "Phylogenetic Network", "Tree Child Phylogenetic Network", "Phylogenetic Tree", "Partition Distance", "Network Alignment" ], "authors": [ { "givenName": "Gabriel", "surname": "Cardona", "fullName": "Gabriel Cardona", "affiliation": "University of the Balearic Islands, Palma de Mallorca", "__typename": "ArticleAuthorType" }, { "givenName": "Francesc", "surname": "Rosselló", "fullName": "Francesc Rosselló", "affiliation": "University of the Balearic Islands, Palma de Mallorca", "__typename": "ArticleAuthorType" }, { "givenName": "Gabriel", "surname": "Valiente", "fullName": "Gabriel Valiente", "affiliation": "Technical University of Catalonia, Barcelona", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "04", "pubDate": "2009-10-01 00:00:00", "pubType": "trans", "pages": "552-569", "year": "2009", "issn": "1545-5963", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/eisic/2011/4406/0/4406a163", "title": "Strategies to Disrupt Online Child Pornography Networks", "doi": null, "abstractUrl": "/proceedings-article/eisic/2011/4406a163/12OmNAZfxMM", "parentPublication": { "id": "proceedings/eisic/2011/4406/0", "title": "European Intelligence and Security Informatics Conference", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/cis/2011/4584/0/4584a119", "title": "Phylogenetic Tree of DNA Sequences Constructed by a New Method-H Curve", "doi": null, "abstractUrl": "/proceedings-article/cis/2011/4584a119/12OmNBO3Kjk", "parentPublication": { "id": "proceedings/cis/2011/4584/0", "title": "2011 Seventh International Conference on Computational Intelligence and Security", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/bibe/2003/1907/0/19070087", "title": "Nodal Distance Algorithm: Calculating a Phylogenetic Tree Comparison Metric", "doi": null, "abstractUrl": "/proceedings-article/bibe/2003/19070087/12OmNxE2n0Z", "parentPublication": { "id": "proceedings/bibe/2003/1907/0", "title": "Proceedings Third IEEE Symposium on BioInformatics and BioEngineering. BIBE 2003", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2010/02/ttb2010020218", "title": "A Metric on the Space of Reduced Phylogenetic Networks", "doi": null, "abstractUrl": "/journal/tb/2010/02/ttb2010020218/13rRUB7a1ee", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2009/04/ttb2009040629", "title": "On Nakhleh's Metric for Reduced Phylogenetic Networks", "doi": null, "abstractUrl": "/journal/tb/2009/04/ttb2009040629/13rRUwhHcPl", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/5555/01/ttb2011990020", "title": "Matching Split Distance for Unrooted Binary Phylogenetic Trees", "doi": null, "abstractUrl": "/journal/tb/5555/01/ttb2011990020/13rRUxYIMTx", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2009/01/ttb2009010103", "title": "Drawing Rooted Phylogenetic Networks", "doi": null, "abstractUrl": "/journal/tb/2009/01/ttb2009010103/13rRUxjQyam", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2009/03/ttb2009030454", "title": "Metrics for Phylogenetic Networks II: Nodal and Triplets Metrics", "doi": null, "abstractUrl": "/journal/tb/2009/03/ttb2009030454/13rRUygBwgm", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2007/04/n0661", "title": "Phylogenetic Networks Based on the Molecular Clock Hypothesis", "doi": null, "abstractUrl": "/journal/tb/2007/04/n0661/13rRUyoPSVv", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2011/01/ttb2011010226", "title": "Topology Improves Phylogenetic Motif Functional Site Predictions", "doi": null, "abstractUrl": "/journal/tb/2011/01/ttb2011010226/13rRUyuvRvF", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "ttb2009040542", "articleId": "13rRUxYIN2s", "__typename": "AdjacentArticleType" }, "next": { "fno": "ttb2009040570", "articleId": "13rRUNvgz2t", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNwCJOG5", "title": "May-June", "year": "2015", "issueNum": "03", "idPrefix": "tb", "pubType": "journal", "volume": "12", "label": "May-June", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUygT7r5", "doi": "10.1109/TCBB.2014.2366778", "abstract": "From a set of phylogenetic trees with overlapping taxa set, a supertree exhibits evolutionary relationships among all input taxa. The key is to resolve the contradictory relationships with respect to input trees, between individual taxa subsets. Formulation of this NP hard problem employs either local search heuristics to reduce tree search space, or resolves the conflicts with respect to fixed or varying size subtree level decompositions. Different approximation techniques produce supertrees with considerable performance variations. Moreover, the majority of the algorithms involve high computational complexity, thus not suitable for use on large biological data sets. Current study presents COSPEDTree, a novel method for supertree construction. The technique resolves source tree conflicts by analyzing couplet (taxa pair) relationships for each source trees. Subsequently, individual taxa pairs are resolved with a single relation. To prioritize the consensus relations among individual taxa pairs for resolving them, greedy scoring is employed to assign higher score values for the consensus relations among a taxa pair. Selected set of relations resolving individual taxa pairs is subsequently used to construct a directed acyclic graph (DAG). Vertices of DAG represents a taxa subset inferred from the same speciation event. Thus, COSPEDTree can generate non-binary supertrees as well. Depth first traversal on this DAG yields final supertree. According to the performance metrics on branch dissimilarities (such as FP, FN and RF), COSPEDTree produces mostly conservative, well resolved supertrees. Specifically, RF metrics are mostly lower compared to the reference approaches, and FP values are lower apart from only strictly conservative (or veto) approaches. COSPEDTree has worst case time and space complexities of cubic and quadratic order, respectively, better or comparable to the reference approaches. Such high performance and low computational costs enable COSPEDTree to be applied on large scale biological data sets.", "abstracts": [ { "abstractType": "Regular", "content": "From a set of phylogenetic trees with overlapping taxa set, a supertree exhibits evolutionary relationships among all input taxa. The key is to resolve the contradictory relationships with respect to input trees, between individual taxa subsets. Formulation of this NP hard problem employs either local search heuristics to reduce tree search space, or resolves the conflicts with respect to fixed or varying size subtree level decompositions. Different approximation techniques produce supertrees with considerable performance variations. Moreover, the majority of the algorithms involve high computational complexity, thus not suitable for use on large biological data sets. Current study presents COSPEDTree, a novel method for supertree construction. The technique resolves source tree conflicts by analyzing couplet (taxa pair) relationships for each source trees. Subsequently, individual taxa pairs are resolved with a single relation. To prioritize the consensus relations among individual taxa pairs for resolving them, greedy scoring is employed to assign higher score values for the consensus relations among a taxa pair. Selected set of relations resolving individual taxa pairs is subsequently used to construct a directed acyclic graph (DAG). Vertices of DAG represents a taxa subset inferred from the same speciation event. Thus, COSPEDTree can generate non-binary supertrees as well. Depth first traversal on this DAG yields final supertree. According to the performance metrics on branch dissimilarities (such as FP, FN and RF), COSPEDTree produces mostly conservative, well resolved supertrees. Specifically, RF metrics are mostly lower compared to the reference approaches, and FP values are lower apart from only strictly conservative (or veto) approaches. COSPEDTree has worst case time and space complexities of cubic and quadratic order, respectively, better or comparable to the reference approaches. Such high performance and low computational costs enable COSPEDTree to be applied on large scale biological data sets.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "From a set of phylogenetic trees with overlapping taxa set, a supertree exhibits evolutionary relationships among all input taxa. The key is to resolve the contradictory relationships with respect to input trees, between individual taxa subsets. Formulation of this NP hard problem employs either local search heuristics to reduce tree search space, or resolves the conflicts with respect to fixed or varying size subtree level decompositions. Different approximation techniques produce supertrees with considerable performance variations. Moreover, the majority of the algorithms involve high computational complexity, thus not suitable for use on large biological data sets. Current study presents COSPEDTree, a novel method for supertree construction. The technique resolves source tree conflicts by analyzing couplet (taxa pair) relationships for each source trees. Subsequently, individual taxa pairs are resolved with a single relation. To prioritize the consensus relations among individual taxa pairs for resolving them, greedy scoring is employed to assign higher score values for the consensus relations among a taxa pair. Selected set of relations resolving individual taxa pairs is subsequently used to construct a directed acyclic graph (DAG). Vertices of DAG represents a taxa subset inferred from the same speciation event. Thus, COSPEDTree can generate non-binary supertrees as well. Depth first traversal on this DAG yields final supertree. According to the performance metrics on branch dissimilarities (such as FP, FN and RF), COSPEDTree produces mostly conservative, well resolved supertrees. Specifically, RF metrics are mostly lower compared to the reference approaches, and FP values are lower apart from only strictly conservative (or veto) approaches. COSPEDTree has worst case time and space complexities of cubic and quadratic order, respectively, better or comparable to the reference approaches. Such high performance and low computational costs enable COSPEDTree to be applied on large scale biological data sets.", "title": "COSPEDTree: COuplet Supertree by Equivalence Partitioning of Taxa Set and DAG Formation", "normalizedTitle": "COSPEDTree: COuplet Supertree by Equivalence Partitioning of Taxa Set and DAG Formation", "fno": "06945851", "hasPdf": true, "idPrefix": "tb", "keywords": [ "Trees Mathematics", "Biology Computing", "Computational Complexity", "Evolution Biological", "Genetics", "COSPED Tree", "Quadratic Order", "Cubic Order", "Space Complexities", "Nonbinary Supertrees", "Directed Acyclic Graph", "Couplet Taxa Pair Relationships", "Biological Data Sets", "Computational Complexity", "Approximation Techniques", "Size Subtree Level Decompositions", "Tree Search Space", "Local Search Heuristics", "Taxa Subsets", "Evolutionary Relationships", "Overlapping Taxa Set", "Phylogenetic Trees", "DAG Formation", "Equivalence Partitioning", "C Ouplet Supertree", "Measurement", "Phylogeny", "Complexity Theory", "Materials Requirements Planning", "Computational Biology", "Directed Acyclic Graph DAG", "Phylogenetics Supertrees", "Directed Acyclic Graph DAG", "Phylogenetics", "Supertrees" ], "authors": [ { "givenName": "Sourya", "surname": "Bhattacharyya", "fullName": "Sourya Bhattacharyya", "affiliation": "Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India", "__typename": "ArticleAuthorType" }, { "givenName": "Jayanta", "surname": "Mukherjee", "fullName": "Jayanta Mukherjee", "affiliation": "Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "03", "pubDate": "2015-05-01 00:00:00", "pubType": "trans", "pages": "590-603", "year": "2015", "issn": "1545-5963", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/bibm/2016/1611/0/07822499", "title": "COSPEDTree-II: Improved couplet based phylogenetic supertree", "doi": null, "abstractUrl": "/proceedings-article/bibm/2016/07822499/12OmNxaw5dO", "parentPublication": { "id": "proceedings/bibm/2016/1611/0", "title": "2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2018/01/07581044", "title": "Tanglegrams: A Reduction Tool for Mathematical Phylogenetics", "doi": null, "abstractUrl": "/journal/tb/2018/01/07581044/13rRUEgs2Ks", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2012/04/06175007", "title": "Fast Local Search for Unrooted Robinson-Foulds Supertrees", "doi": null, "abstractUrl": "/journal/tb/2012/04/06175007/13rRUNvyadm", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2018/03/07782719", "title": "Efficient Quartet Representations of Trees and Applications to Supertree and Summary Methods", "doi": null, "abstractUrl": "/journal/tb/2018/03/07782719/13rRUwIF6jx", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2006/02/n0165", "title": "Minimum-Flip Supertrees: Complexity and Algorithms", "doi": null, "abstractUrl": "/journal/tb/2006/02/n0165/13rRUwd9CEs", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2013/06/ttb2013061432", "title": "Efficient Algorithms for Knowledge-Enhanced Supertree and Supermatrix Phylogenetic Problems", "doi": null, "abstractUrl": "/journal/tb/2013/06/ttb2013061432/13rRUx0xPSr", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1294", "title": "Exploring Multiple Trees through DAG Representations", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1294/13rRUxAATgr", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2012/06/ttb2012061558", "title": "A Characterization of the Set of Species Trees that Produce Anomalous Ranked Gene Trees", "doi": null, "abstractUrl": "/journal/tb/2012/06/ttb2012061558/13rRUxZzAg7", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2010/04/ttb2010040704", "title": "Quartets MaxCut: A Divide and Conquer Quartets Algorithm", "doi": null, "abstractUrl": "/journal/tb/2010/04/ttb2010040704/13rRUytF47S", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tb/2016/02/07126958", "title": "Measuring Cluster Stability in a Large Scale Phylogenetic Analysis of Functional Genes in Metagenomes Using pplacer", "doi": null, "abstractUrl": "/journal/tb/2016/02/07126958/13rRUytWFfU", "parentPublication": { "id": "trans/tb", "title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "06951359", "articleId": "13rRUx0xPtT", "__typename": "AdjacentArticleType" }, "next": { "fno": "06966775", "articleId": "13rRUwjGoED", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNzVXNIj", "title": "Dec.", "year": "2017", "issueNum": "12", "idPrefix": "tg", "pubType": "journal", "volume": "23", "label": "Dec.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUwhpBO8", "doi": "10.1109/TVCG.2016.2642103", "abstract": "Visualizing distributions from data samples as well as spatial and temporal trends of multiple variables is fundamental to analyzing the output of today’s scientific simulations. However, traditional visualization techniques are often subject to a trade-off between visual clutter and loss of detail, especially in a large-scale setting. In this work, we extend the use of spatially organized histograms into a sophisticated visualization system that can more effectively study trends between multiple variables throughout a spatial domain. Furthermore, we exploit the use of isosurfaces to visualize time-varying trends found within histogram distributions. This technique is adapted into both an on-the-fly scheme as well as an in situ scheme to maintain real-time interactivity at a variety of data scales.", "abstracts": [ { "abstractType": "Regular", "content": "Visualizing distributions from data samples as well as spatial and temporal trends of multiple variables is fundamental to analyzing the output of today’s scientific simulations. However, traditional visualization techniques are often subject to a trade-off between visual clutter and loss of detail, especially in a large-scale setting. In this work, we extend the use of spatially organized histograms into a sophisticated visualization system that can more effectively study trends between multiple variables throughout a spatial domain. Furthermore, we exploit the use of isosurfaces to visualize time-varying trends found within histogram distributions. This technique is adapted into both an on-the-fly scheme as well as an in situ scheme to maintain real-time interactivity at a variety of data scales.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Visualizing distributions from data samples as well as spatial and temporal trends of multiple variables is fundamental to analyzing the output of today’s scientific simulations. However, traditional visualization techniques are often subject to a trade-off between visual clutter and loss of detail, especially in a large-scale setting. In this work, we extend the use of spatially organized histograms into a sophisticated visualization system that can more effectively study trends between multiple variables throughout a spatial domain. Furthermore, we exploit the use of isosurfaces to visualize time-varying trends found within histogram distributions. This technique is adapted into both an on-the-fly scheme as well as an in situ scheme to maintain real-time interactivity at a variety of data scales.", "title": "Scalable Visualization of Time-varying Multi-parameter Distributions Using Spatially Organized Histograms", "normalizedTitle": "Scalable Visualization of Time-varying Multi-parameter Distributions Using Spatially Organized Histograms", "fno": "07792155", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Histograms", "Market Research", "Two Dimensional Displays", "Clutter", "Isosurfaces", "Data Models", "Histograms", "Particle Data", "Large Scale Data", "In Situ Processing", "Time Varying Data", "Isosurfaces", "Scientific Visualization" ], "authors": [ { "givenName": "Tyson", "surname": "Neuroth", "fullName": "Tyson Neuroth", "affiliation": "Department of Computer Science, University of California at Davis, Davis, CA", "__typename": "ArticleAuthorType" }, { "givenName": "Franz", "surname": "Sauer", "fullName": "Franz Sauer", "affiliation": "Department of Computer Science, University of California at Davis, Davis, CA", "__typename": "ArticleAuthorType" }, { "givenName": "Weixing", "surname": "Wang", "fullName": "Weixing Wang", "affiliation": "Princeton Plasma Physics Laboratory, 100 Stellarator Road, Princeton, NJ", "__typename": "ArticleAuthorType" }, { "givenName": "Stephane", "surname": "Ethier", "fullName": "Stephane Ethier", "affiliation": "Princeton Plasma Physics Laboratory, 100 Stellarator Road, Princeton, NJ", "__typename": "ArticleAuthorType" }, { "givenName": "Choong-Seock", "surname": "Chang", "fullName": "Choong-Seock Chang", "affiliation": "Princeton Plasma Physics Laboratory, 100 Stellarator Road, Princeton, NJ", "__typename": "ArticleAuthorType" }, { "givenName": "Kwan-Liu", "surname": "Ma", "fullName": "Kwan-Liu Ma", "affiliation": "Department of Computer Science, University of California at Davis, Davis, CA", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "12", "pubDate": "2017-12-01 00:00:00", "pubType": "trans", "pages": "2599-2612", "year": "2017", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/pacificvis/2013/4797/0/06596138", "title": "iTree: Exploring time-varying data using indexable tree", "doi": null, "abstractUrl": "/proceedings-article/pacificvis/2013/06596138/12OmNwAt1DI", "parentPublication": { "id": "proceedings/pacificvis/2013/4797/0", "title": "2013 IEEE Pacific Visualization Symposium (PacificVis)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/ldav/2015/8517/0/07348073", "title": "Scalable visualization of discrete velocity decompositions using spatially organized histograms", "doi": null, "abstractUrl": "/proceedings-article/ldav/2015/07348073/12OmNzDvSj8", "parentPublication": { "id": "proceedings/ldav/2015/8517/0", "title": "2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2008/06/ttg2008061659", "title": "Revisiting Histograms and Isosurface Statistics", "doi": null, "abstractUrl": "/journal/tg/2008/06/ttg2008061659/13rRUxZ0o1p", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2004/06/v0683", "title": "Adaptive Extraction of Time-Varying Isosurfaces", "doi": null, "abstractUrl": "/journal/tg/2004/06/v0683/13rRUxZRbnS", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/v1727", "title": "Interactive Isosurface Ray Tracing of Time-Varying Tetrahedral Volumes", "doi": null, "abstractUrl": "/journal/tg/2007/06/v1727/13rRUxZRbnV", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2006/05/v1275", "title": "Using Difference Intervals for Time-Varying Isosurface Visualization", "doi": null, "abstractUrl": "/journal/tg/2006/05/v1275/13rRUxd2aYT", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2006/05/v1259", "title": "On Histograms and Isosurface Statistics", "doi": null, "abstractUrl": "/journal/tg/2006/05/v1259/13rRUzp02of", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/02/08267140", "title": "Efficient Local Statistical Analysis via Point-Wise Histograms in Tetrahedral Meshes and Curvilinear Grids", "doi": null, "abstractUrl": "/journal/tg/2019/02/08267140/17D45WHONiP", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2019/01/08440120", "title": "Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps", "doi": null, "abstractUrl": "/journal/tg/2019/01/08440120/17D45Wuc38E", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/sibgrapi/2019/5227/0/522700a092", "title": "Robust and Effective Method for Automatic Generation of One-Dimensional Transfer Functions", "doi": null, 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{ "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": "13rRUwd9CLE", "doi": "10.1109/TVCG.2007.70613", "abstract": "We present a comprehensive system for weather data visualization. Weather data are multivariate and contain vector fields formed by wind speed and direction. Several well-established visualization techniques such as parallel coordinates and polar systems are integrated into our system. We also develop various novel methods, including circular pixel bar charts embedded into polar systems, enhanced parallel coordinates with S-shape axis, and weighted complete graphs. Our system was used to analyze the air pollution problem in Hong Kong and some interesting patterns have been found.", "abstracts": [ { "abstractType": "Regular", "content": "We present a comprehensive system for weather data visualization. Weather data are multivariate and contain vector fields formed by wind speed and direction. Several well-established visualization techniques such as parallel coordinates and polar systems are integrated into our system. We also develop various novel methods, including circular pixel bar charts embedded into polar systems, enhanced parallel coordinates with S-shape axis, and weighted complete graphs. Our system was used to analyze the air pollution problem in Hong Kong and some interesting patterns have been found.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "We present a comprehensive system for weather data visualization. Weather data are multivariate and contain vector fields formed by wind speed and direction. Several well-established visualization techniques such as parallel coordinates and polar systems are integrated into our system. We also develop various novel methods, including circular pixel bar charts embedded into polar systems, enhanced parallel coordinates with S-shape axis, and weighted complete graphs. Our system was used to analyze the air pollution problem in Hong Kong and some interesting patterns have been found.", "title": "Visual Analysis of the Air Pollution Problem in Hong Kong", "normalizedTitle": "Visual Analysis of the Air Pollution Problem in Hong Kong", "fno": "v1408", "hasPdf": true, "idPrefix": "tg", "keywords": [ "Weather Data Visualization", "Polar System", "Parallel Coordinates", "Air Pollution", "Visual Analytics" ], "authors": [ { "givenName": "Huamin", "surname": "Qu", "fullName": "Huamin Qu", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Wing-Yi", "surname": "Chan", "fullName": "Wing-Yi Chan", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Anbang", "surname": "Xu", "fullName": "Anbang Xu", "affiliation": "IEEE", "__typename": "ArticleAuthorType" }, { "givenName": "Kai-Lun", "surname": "Chung", "fullName": "Kai-Lun Chung", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Kai-Hon", "surname": "Lau", "fullName": "Kai-Hon Lau", "affiliation": null, "__typename": "ArticleAuthorType" }, { "givenName": "Ping", "surname": "Guo", "fullName": "Ping Guo", "affiliation": "IEEE", "__typename": "ArticleAuthorType" } ], "replicability": null, "showBuyMe": true, "showRecommendedArticles": true, "isOpenAccess": false, "issueNum": "06", "pubDate": "2007-11-01 00:00:00", "pubType": "trans", "pages": "1408-1415", "year": "2007", "issn": "1077-2626", "isbn": null, "notes": null, "notesType": null, "__typename": "ArticleType" }, "recommendedArticles": [ { "id": "proceedings/ettandgrs/2008/3563/2/3563b384", "title": "Observational Study of Content of Heavy Metals in Fog Water Relative to Air Pollution in Suburbs of Nanjing", "doi": null, "abstractUrl": "/proceedings-article/ettandgrs/2008/3563b384/12OmNBU1jOy", "parentPublication": { "id": "ettandgrs/2008/3563/2", "title": "Education Technology and Training &amp; Geoscience and Remote Sensing", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icip/1997/8183/1/81831516", "title": "Shape coding using polar coordinates and the discrete cosine transform", "doi": null, "abstractUrl": "/proceedings-article/icip/1997/81831516/12OmNBrlPxb", "parentPublication": { "id": "proceedings/icip/1997/8183/1", "title": "Image Processing, International Conference on", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/iccis/2012/4789/0/4789a179", "title": "The Polar Parallel Coordinates Method for Time-Series Data Visualization", "doi": null, "abstractUrl": "/proceedings-article/iccis/2012/4789a179/12OmNC8MsuO", "parentPublication": { "id": "proceedings/iccis/2012/4789/0", "title": "2012 Fourth International Conference on Computational and Information Sciences", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdma/2010/4286/2/4286b785", "title": "The Research of Urban Air Pollution Weather Characteristics under the Special Terrain", "doi": null, "abstractUrl": "/proceedings-article/icdma/2010/4286b785/12OmNqyUUJt", "parentPublication": { "id": "proceedings/icdma/2010/4286/2", "title": "2010 International Conference on Digital Manufacturing & Automation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/digitel/2007/2801/0/04148847", "title": "The Challenges of Deploying Educational Games in Hong Kong Schools: a developer's perspective", "doi": null, "abstractUrl": "/proceedings-article/digitel/2007/04148847/12OmNrAdsBH", "parentPublication": { "id": "proceedings/digitel/2007/2801/0", "title": "2007 IEEE International Workshop on Digital Games and Intelligent Toys-based Education", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/icdma/2012/4772/0/4772a553", "title": "New Conception of Air Pollution Control in China", "doi": null, "abstractUrl": "/proceedings-article/icdma/2012/4772a553/12OmNyoAAbl", "parentPublication": { "id": "proceedings/icdma/2012/4772/0", "title": "2012 Third International Conference on Digital Manufacturing & Automation", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/services/2011/4461/0/4461a578", "title": "Visualization of Urban Air Pollution with Cloud Computing", "doi": null, "abstractUrl": "/proceedings-article/services/2011/4461a578/12OmNzvhvMo", "parentPublication": { "id": "proceedings/services/2011/4461/0", "title": "2011 IEEE World Congress on Services", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "trans/tg/2007/06/04376168", "title": "Visual Analysis of the Air Pollution Problem in Hong Kong", "doi": null, "abstractUrl": "/journal/tg/2007/06/04376168/13rRUwIF6dG", "parentPublication": { "id": "trans/tg", "title": "IEEE Transactions on Visualization & Computer Graphics", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "mags/it/2013/01/mit2013010044", "title": "Creating Green Awareness Using IT: The Case of Hong Kong", "doi": null, "abstractUrl": "/magazine/it/2013/01/mit2013010044/13rRUxE04pT", "parentPublication": { "id": "mags/it", "title": "IT Professional", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" }, { "id": "proceedings/asonam/2017/4993/0/09069054", "title": "A Study on the Correlation between Breast Cancer and Air pollution", "doi": null, "abstractUrl": "/proceedings-article/asonam/2017/09069054/1j9xR5OjCbm", "parentPublication": { "id": "proceedings/asonam/2017/4993/0", "title": "2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)", "__typename": "ParentPublication" }, "__typename": "RecommendedArticleType" } ], "adjacentArticles": { "previous": { "fno": "v1400", "articleId": "13rRUwInvsD", "__typename": "AdjacentArticleType" }, "next": { "fno": "v1416", "articleId": "13rRUxC0SvN", "__typename": "AdjacentArticleType" }, "__typename": "AdjacentArticlesType" }, "webExtras": [], "articleVideos": [] }
{ "issue": { "id": "12OmNAZx8Os", "title": "Jan.-Feb.", "year": "2013", "issueNum": "01", "idPrefix": "it", "pubType": "magazine", "volume": "15", "label": "Jan.-Feb.", "downloadables": { "hasCover": false, "__typename": "PeriodicalIssueDownloadablesType" }, "__typename": "PeriodicalIssue" }, "article": { "id": "13rRUxE04pT", "doi": "10.1109/MITP.2012.105", "abstract": "Creating green awareness through educational programs is crucial to the success of sustainable development. Several initiatives in Hong Kong use cloud technologies, online interactive games, competitions, and physical equipment to raise green awareness among high school students.", "abstracts": [ { "abstractType": "Regular", "content": "Creating green awareness through educational programs is crucial to the success of sustainable development. Several initiatives in Hong Kong use cloud technologies, online interactive games, competitions, and physical equipment to raise green awareness among high school students.", "__typename": "ArticleAbstractType" } ], "normalizedAbstract": "Creating green awareness through educational programs is crucial to the success of sustainable development. 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