Conference
stringclasses
6 values
Year
int64
1.99k
2.03k
Title
stringlengths
8
187
DOI
stringlengths
16
32
Abstract
stringlengths
128
7.15k
Accessible
bool
2 classes
Early
bool
2 classes
AuthorNames-Deduped
listlengths
1
24
Award
listlengths
0
2
Resources
listlengths
0
5
ResourceLinks
listlengths
0
10
VAST
2,014
An Insight- and Task-based Methodology for Evaluating Spatiotemporal Visual Analytics
10.1109/VAST.2014.7042482
We present a method for evaluating visualizations using both tasks and exploration, and demonstrate this method in a study of spatiotemporal network designs for a visual analytics system. The method is well suited for studying visual analytics applications in which users perform both targeted data searches and analyses...
false
false
[ "Steven R. Gomez", "Hua Guo", "Caroline Ziemkiewicz", "David H. Laidlaw" ]
[]
[]
[]
VAST
2,014
An Integrated Visual Analysis System for Fusing MR Spectroscopy and Multi-Modal Radiology Imaging
10.1109/VAST.2014.7042481
For cancers such as glioblastoma multiforme, there is an increasing interest in defining "biological target volumes" (BTV), high tumour-burden regions which may be targeted with dose boosts in radiotherapy. The definition of a BTV requires insight into tumour characteristics going beyond conventionally defined radiolog...
false
false
[ "Miguel Nunes", "Benjamin Rowland", "Matthias Schlachter", "Soléakhéna Ken", "Kresimir Matkovic", "Anne Laprie", "Katja Bühler" ]
[]
[]
[]
VAST
2,014
Analyzing High-dimensional Multivariate Network Links with Integrated Anomaly Detection, Highlighting and Exploration
10.1109/VAST.2014.7042484
This paper focuses on the integration of a family of visual analytics techniques for analyzing high-dimensional, multivariate network data that features spatial and temporal information, network connections, and a variety of other categorical and numerical data types. Such data types are commonly encountered in transpo...
false
false
[ "Sungahn Ko", "Shehzad Afzal", "Simon J. Walton", "Yang Yang", "Junghoon Chae", "Abish Malik", "Yun Jang", "Min Chen 0001", "David S. Ebert" ]
[]
[]
[]
VAST
2,014
Baseball4D: A Tool for Baseball Game Reconstruction & Visualization
10.1109/VAST.2014.7042478
While many sports use statistics and video to analyze and improve game play, baseball has led the charge throughout its history. With the advent of new technologies that allow all players and the ball to be tracked across the entire field, it is now possible to bring this understanding to another level. From discrete p...
false
false
[ "Carlos A. Dietrich", "David Koop", "Huy T. Vo", "Cláudio T. Silva" ]
[]
[]
[]
VAST
2,014
BoundarySeer: Visual Analysis of 2D Boundary Changes
10.1109/VAST.2014.7042490
Boundary changes exist ubiquitously in our daily life. From the Antarctic ozone hole to the land desertification, and from the territory of a country to the area within one-hour reach from a downtown location, boundaries change over time. With a large number of time-varying boundaries recorded, people often need to ana...
false
false
[ "Wenchao Wu", "Yixian Zheng", "Huamin Qu", "Wei Chen 0001", "M. Eduard Gröller", "Lionel M. Ni" ]
[]
[]
[]
VAST
2,014
ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery
10.1109/TVCG.2014.2346752
Large scale data analysis is nowadays a crucial part of drug discovery. Biologists and chemists need to quickly explore and evaluate potentially effective yet safe compounds based on many datasets that are in relationship with each other. However, there is a lack of tools that support them in these processes. To remedy...
false
false
[ "Christian Partl", "Alexander Lex", "Marc Streit", "Hendrik Strobelt", "Anne Mai Wassermann", "Hanspeter Pfister", "Dieter Schmalstieg" ]
[]
[]
[]
VAST
2,014
Cupid: Cluster-Based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees
10.1109/TVCG.2014.2346626
Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted geometric shapes. In this paper, we propose a n...
false
false
[ "Michael Beham", "Wolfgang Herzner", "M. Eduard Gröller", "Johannes Kehrer" ]
[]
[]
[]
VAST
2,014
DecisionFlow: Visual Analytics for High-Dimensional Temporal Event Sequence Data
10.1109/TVCG.2014.2346682
Temporal event sequence data is increasingly commonplace, with applications ranging from electronic medical records to financial transactions to social media activity. Previously developed techniques have focused on low-dimensional datasets (e.g., with less than 20 distinct event types). Real-world datasets are often f...
false
false
[ "David Gotz", "Harry Stavropoulos" ]
[]
[]
[]
VAST
2,014
DIA2: Web-based Cyberinfrastructure for Visual Analysis of Funding Portfolios
10.1109/TVCG.2014.2346747
We present a design study of the Deep Insights Anywhere, Anytime (DIA2) platform, a web-based visual analytics system that allows program managers and academic staff at the U.S. National Science Foundation to search, view, and analyze their research funding portfolio. The goal of this system is to facilitate users' und...
false
false
[ "Krishna P. C. Madhavan", "Niklas Elmqvist", "Mihaela Vorvoreanu", "Xin Chen", "Yuet Ling Wong", "Hanjun Xian", "Zhihua Dong", "Aditya Johri" ]
[]
[]
[]
VAST
2,014
EvoRiver: Visual Analysis of Topic Coopetition on Social Media
10.1109/TVCG.2014.2346919
Cooperation and competition (jointly called “coopetition”) are two modes of interactions among a set of concurrent topics on social media. How do topics cooperate or compete with each other to gain public attention? Which topics tend to cooperate or compete with one another? Who plays the key role in coopetition-relate...
false
false
[ "Guodao Sun", "Yingcai Wu", "Shixia Liu", "Tai-Quan Peng", "Jonathan J. H. Zhu", "Ronghua Liang" ]
[]
[]
[]
VAST
2,014
Feature-Driven Visual Analytics of Soccer Data
10.1109/VAST.2014.7042477
Soccer is one the most popular sports today and also very interesting from an scientific point of view. We present a system for analyzing high-frequency position-based soccer data at various levels of detail, allowing to interactively explore and analyze for movement features and game events. Our Visual Analytics metho...
false
false
[ "Halldór Janetzko", "Dominik Sacha", "Manuel Stein", "Tobias Schreck", "Daniel A. Keim", "Oliver Deussen" ]
[]
[]
[]
VAST
2,014
Feedback-Driven Interactive Exploration of Large Multidimensional Data Supported by Visual Classifier
10.1109/VAST.2014.7042480
The extraction of relevant and meaningful information from multivariate or high-dimensional data is a challenging problem. One reason for this is that the number of possible representations, which might contain relevant information, grows exponentially with the amount of data dimensions. Also, not all views from a poss...
false
false
[ "Michael Behrisch 0001", "Fatih Korkmaz", "Lin Shao 0001", "Tobias Schreck" ]
[]
[]
[]
VAST
2,014
Finding Waldo: Learning about Users from their Interactions
10.1109/TVCG.2014.2346575
Visual analytics is inherently a collaboration between human and computer. However, in current visual analytics systems, the computer has limited means of knowing about its users and their analysis processes. While existing research has shown that a user's interactions with a system reflect a large amount of the user's...
false
false
[ "Eli T. Brown", "Alvitta Ottley", "Helen Zhao", "Quan Lin", "Richard Souvenir", "Alex Endert", "Remco Chang" ]
[]
[]
[]
VAST
2,014
Footprints: A Visual Search Tool that Supports Discovery and Coverage Tracking
10.1109/TVCG.2014.2346743
Searching a large document collection to learn about a broad subject involves the iterative process of figuring out what to ask, filtering the results, identifying useful documents, and deciding when one has covered enough material to stop searching. We are calling this activity “discoverage,” discovery of relevant mat...
false
false
[ "Ellen Isaacs", "Kelly Domico", "Shane Ahern", "Eugene Bart", "Mudita Singhal" ]
[]
[]
[]
VAST
2,014
Genotet: An Interactive Web-based Visual Exploration Framework to Support Validation of Gene Regulatory Networks
10.1109/TVCG.2014.2346753
Elucidation of transcriptional regulatory networks (TRNs) is a fundamental goal in biology, and one of the most important components of TRNs are transcription factors (TFs), proteins that specifically bind to gene promoter and enhancer regions to alter target gene expression patterns. Advances in genomic technologies a...
false
false
[ "Bowen Yu 0004", "Harish Doraiswamy", "Xi Chen", "Emily R. Miraldi", "Mario Luis Arrieta-Ortiz", "Christoph Hafemeister", "Aviv Madar", "Richard Bonneau", "Cláudio T. Silva" ]
[]
[]
[]
VAST
2,014
HydroQual: Visual Analysis of River Water Quality
10.1109/VAST.2014.7042488
Economic development based on industrialization, intensive agriculture expansion and population growth places greater pressure on water resources through increased water abstraction and water quality degradation [40], River pollution is now a visible issue, with emblematic ecological disasters following industrial acci...
false
false
[ "Pierre Accorsi", "Nathalie Lalande", "Mickaël Fabrègue", "Agnès Braud", "Pascal Poncelet", "Arnaud Sallaberry", "Sandra Bringay", "Maguelonne Teisseire", "Flavie Cernesson", "Florence Le Ber" ]
[]
[]
[]
VAST
2,014
INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data
10.1109/TVCG.2014.2346482
Predictive modeling techniques are increasingly being used by data scientists to understand the probability of predicted outcomes. However, for data that is high-dimensional, a critical step in predictive modeling is determining which features should be included in the models. Feature selection algorithms are often use...
false
false
[ "Josua Krause", "Adam Perer", "Enrico Bertini" ]
[]
[]
[]
VAST
2,014
Integrating Predictive Analytics and Social Media
10.1109/VAST.2014.7042495
A key analytical task across many domains is model building and exploration for predictive analysis. Data is collected, parsed and analyzed for relationships, and features are selected and mapped to estimate the response of a system under exploration. As social media data has grown more abundant, data can be captured t...
false
false
[ "Yafeng Lu", "Robert Krüger", "Dennis Thom", "Feng Wang 0012", "Steffen Koch 0001", "Thomas Ertl", "Ross Maciejewski" ]
[]
[]
[]
VAST
2,014
Interactive Visual Analysis of Image-Centric Cohort Study Data
10.1109/TVCG.2014.2346591
Epidemiological population studies impose information about a set of subjects (a cohort) to characterize disease-specific risk factors. Cohort studies comprise heterogenous variables describing the medical condition as well as demographic and lifestyle factors and, more recently, medical image data. We propose an Inter...
false
false
[ "Paul Klemm", "Steffen Oeltze-Jafra", "Kai Lawonn", "Katrin Hegenscheid", "Henry Völzke", "Bernhard Preim" ]
[]
[]
[]
VAST
2,014
Knowledge Generation Model for Visual Analytics
10.1109/TVCG.2014.2346481
Visual analytics enables us to analyze huge information spaces in order to support complex decision making and data exploration. Humans play a central role in generating knowledge from the snippets of evidence emerging from visual data analysis. Although prior research provides frameworks that generalize this process, ...
false
false
[ "Dominik Sacha", "Andreas Stoffel", "Florian Stoffel", "Bum Chul Kwon", "Geoffrey P. Ellis", "Daniel A. Keim" ]
[ "TT" ]
[]
[]
VAST
2,014
LoyalTracker: Visualizing Loyalty Dynamics in Search Engines
10.1109/TVCG.2014.2346912
The huge amount of user log data collected by search engine providers creates new opportunities to understand user loyalty and defection behavior at an unprecedented scale. However, this also poses a great challenge to analyze the behavior and glean insights into the complex, large data. In this paper, we introduce Loy...
false
false
[ "Conglei Shi", "Yingcai Wu", "Shixia Liu", "Hong Zhou 0004", "Huamin Qu" ]
[ "HM" ]
[]
[]
VAST
2,014
Multi-Model Semantic Interaction for Text Analytics
10.1109/VAST.2014.7042492
Semantic interaction offers an intuitive communication mechanism between human users and complex statistical models. By shielding the users from manipulating model parameters, they focus instead on directly manipulating the spatialization, thus remaining in their cognitive zone. However, this technique is not inherentl...
false
false
[ "Lauren Bradel", "Chris North 0001", "Leanna House", "Scotland Leman" ]
[]
[]
[]
VAST
2,014
Opening the Black Box: Strategies for Increased User Involvement in Existing Algorithm Implementations
10.1109/TVCG.2014.2346578
An increasing number of interactive visualization tools stress the integration with computational software like MATLAB and R to access a variety of proven algorithms. In many cases, however, the algorithms are used as black boxes that run to completion in isolation which contradicts the needs of interactive data explor...
false
false
[ "Thomas Mühlbacher", "Harald Piringer", "Samuel Gratzl", "Michael Sedlmair", "Marc Streit" ]
[]
[]
[]
VAST
2,014
OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media
10.1109/TVCG.2014.2346920
It is important for many different applications such as government and business intelligence to analyze and explore the diffusion of public opinions on social media. However, the rapid propagation and great diversity of public opinions on social media pose great challenges to effective analysis of opinion diffusion. In...
false
false
[ "Yingcai Wu", "Shixia Liu", "Kai Yan", "Mengchen Liu", "Fangzhao Wu" ]
[]
[]
[]
VAST
2,014
PEARL: An Interactive Visual Analytic Tool for Understanding Personal Emotion Style Derived from Social Media
10.1109/VAST.2014.7042496
Hundreds of millions of people leave digital footprints on social media (e.g., Twitter and Facebook). Such data not only disclose a person's demographics and opinions, but also reveal one's emotional style. Emotional style captures a person's patterns of emotions over time, including his overall emotional volatility an...
false
false
[ "Jian Zhao 0010", "Liang Gou", "Fei Wang", "Michelle X. Zhou" ]
[]
[]
[]
VAST
2,014
Proactive Spatiotemporal Resource Allocation and Predictive Visual Analytics for Community Policing and Law Enforcement
10.1109/TVCG.2014.2346926
In this paper, we present a visual analytics approach that provides decision makers with a proactive and predictive environment in order to assist them in making effective resource allocation and deployment decisions. The challenges involved with such predictive analytics processes include end-users' understanding, and...
false
false
[ "Abish Malik", "Ross Maciejewski", "Sherry Towers", "Sean McCullough", "David S. Ebert" ]
[]
[]
[]
VAST
2,014
Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics
10.1109/TVCG.2014.2346574
As datasets grow and analytic algorithms become more complex, the typical workflow of analysts launching an analytic, waiting for it to complete, inspecting the results, and then re-Iaunching the computation with adjusted parameters is not realistic for many real-world tasks. This paper presents an alternative workflow...
false
false
[ "Charles D. Stolper", "Adam Perer", "David Gotz" ]
[]
[]
[]
VAST
2,014
Run Watchers: Automatic Simulation-Based Decision Support in Flood Management
10.1109/TVCG.2014.2346930
In this paper, we introduce a simulation-based approach to design protection plans for flood events. Existing solutions require a lot of computation time for an exhaustive search, or demand for a time-consuming expert supervision and steering. We present a faster alternative based on the automated control of multiple p...
false
false
[ "Artem Konev", "Jürgen Waser", "Bernhard Sadransky", "Daniel Cornel", "Rui A. P. Perdigão", "Zsolt Horváth", "M. Eduard Gröller" ]
[]
[]
[]
VAST
2,014
Serendip: Topic Model-Driven Visual Exploration of Text Corpora
10.1109/VAST.2014.7042493
Exploration and discovery in a large text corpus requires investigation at multiple levels of abstraction, from a zoomed-out view of the entire corpus down to close-ups of individual passages and words. At each of these levels, there is a wealth of information that can inform inquiry - from statistical models, to metad...
false
false
[ "Eric C. Alexander", "Joe Kohlmann", "Robin Valenza", "Michael Witmore", "Michael Gleicher" ]
[]
[]
[]
VAST
2,014
Supporting Communication and Coordination in Collaborative Sensemaking
10.1109/TVCG.2014.2346573
When people work together to analyze a data set, they need to organize their findings, hypotheses, and evidence, share that information with their collaborators, and coordinate activities amongst team members. Sharing externalizations (recorded information such as notes) could increase awareness and assist with team co...
false
false
[ "Narges Mahyar", "Melanie Tory" ]
[ "BP" ]
[]
[]
VAST
2,014
The Spinel Explorer - Interactive Visual Analysis of Spinel Group Minerals
10.1109/TVCG.2014.2346754
Geologists usually deal with rocks that are up to several thousand million years old. They try to reconstruct the tectonic settings where these rocks were formed and the history of events that affected them through the geological time. The spinel group minerals provide useful information regarding the geological enviro...
false
false
[ "Maria Luján Ganuza", "Gabriela Ferracutti", "Maria Florencia Gargiulo", "Silvia Mabel Castro", "Ernesto A. Bjerg", "M. Eduard Gröller", "Kresimir Matkovic" ]
[]
[]
[]
VAST
2,014
TopicPanorama: A Full Picture of Relevant Topics
10.1109/VAST.2014.7042494
We present a visual analytics approach to developing a full picture of relevant topics discussed in multiple sources such as news, blogs, or micro-blogs. The full picture consists of a number of common topics among multiple sources as well as distinctive topics. The key idea behind our approach is to jointly match the ...
false
false
[ "Shixia Liu", "Xiting Wang", "Jianfei Chen 0001", "Jim Zhu", "Baining Guo" ]
[]
[]
[]
VAST
2,014
Towards Interactive, Intelligent, and Integrated Multimedia Analytics
10.1109/VAST.2014.7042476
The size and importance of visual multimedia collections grew rapidly over the last years, creating a need for sophisticated multimedia analytics systems enabling large-scale, interactive, and insightful analysis. These systems need to integrate the human's natural expertise in analyzing multimedia with the machine's a...
false
false
[ "Jan Zahálka", "Marcel Worring" ]
[]
[]
[]
VAST
2,014
Transforming Scagnostics to Reveal Hidden Features
10.1109/TVCG.2014.2346572
Scagnostics (Scatterplot Diagnostics) were developed by Wilkinson et al. based on an idea of Paul and John Tukey, in order to discern meaningful patterns in large collections of scatterplots. The Tukeys' original idea was intended to overcome the impediments involved in examining large scatterplot matrices (multiplicit...
false
false
[ "Tommy Dang", "Leland Wilkinson" ]
[]
[]
[]
VAST
2,014
Using Visualizations to Monitor Changes and Harvest Insights from a Global-Scale Logging Infrastructure at Twitter
10.1109/VAST.2014.7042487
Logging user activities is essential to data analysis for internet products and services. Twitter has built a unified logging infrastructure that captures user activities across all clients it owns, making it one of the largest datasets in the organization. This paper describes challenges and opportunities in applying ...
false
false
[ "Krist Wongsuphasawat", "Jimmy Lin" ]
[]
[]
[]
VAST
2,014
VAET: A Visual Analytics Approach for E-Transactions Time-Series
10.1109/TVCG.2014.2346913
Previous studies on E-transaction time-series have mainly focused on finding temporal trends of transaction behavior. Interesting transactions that are time-stamped and situation-relevant may easily be obscured in a large amount of information. This paper proposes a visual analytics system, Visual Analysis of E-transac...
false
false
[ "Cong Xie", "Wei Chen 0001", "Xinxin Huang", "Yueqi Hu", "Scott Barlowe", "Jing Yang 0001" ]
[]
[]
[]
VAST
2,014
VarifocalReader -- In-Depth Visual Analysis of Large Text Documents
10.1109/TVCG.2014.2346677
Interactive visualization provides valuable support for exploring, analyzing, and understanding textual documents. Certain tasks, however, require that insights derived from visual abstractions are verified by a human expert perusing the source text. So far, this problem is typically solved by offering overview-detail ...
false
false
[ "Steffen Koch 0001", "Markus John", "Michael Wörner 0001", "Andreas Müller 0012", "Thomas Ertl" ]
[]
[]
[]
VAST
2,014
VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure
10.1109/TVCG.2014.2346911
We present VASA, a visual analytics platform consisting of a desktop application, a component model, and a suite of distributed simulation components for modeling the impact of societal threats such as weather, food contamination, and traffic on critical infrastructure such as supply chains, road networks, and power gr...
false
false
[ "Sungahn Ko", "Jieqiong Zhao", "Jing Xia", "Shehzad Afzal", "Derek Xiaoyu Wang", "Greg Abram", "Niklas Elmqvist", "Len Kne", "David Van Riper", "Kelly P. Gaither", "Shaun Kennedy", "William J. Tolone", "William Ribarsky", "David S. Ebert" ]
[]
[]
[]
VAST
2,014
Vismate: Interactive Visual Analysis of Station-Based Observation Data on Climate Changes
10.1109/VAST.2014.7042489
We present a new approach to visualizing the climate data of multi-dimensional, time-series, and geo-related characteristics. Our approach integrates three new highly interrelated visualization techniques, and uses the same input data types as in the traditional model-based analysis methods. As the main visualization v...
false
false
[ "Jie Li 0006", "Kang Zhang 0001", "Zhaopeng Meng" ]
[]
[]
[]
VAST
2,014
Visual Abstraction and Exploration of Multi-class Scatterplots
10.1109/TVCG.2014.2346594
Scatterplots are widely used to visualize scatter dataset for exploring outliers, clusters, local trends, and correlations. Depicting multi-class scattered points within a single scatterplot view, however, may suffer from heavy overdraw, making it inefficient for data analysis. This paper presents a new visual abstract...
false
false
[ "Haidong Chen", "Wei Chen 0001", "Honghui Mei", "Zhiqi Liu", "Kun Zhou", "Weifeng Chen 0002", "Wentao Gu", "Kwan-Liu Ma" ]
[]
[]
[]
VAST
2,014
Visual Analysis of Patterns in Multiple Amino Acid Mutation Graphs
10.1109/VAST.2014.7042485
Proteins are essential parts in all living organisms. They consist of sequences of amino acids. An interaction with reactive agent can stimulate a mutation at a specific position in the sequence. This mutation may set off a chain reaction, which effects other amino acids in the protein. Chain reactions need to be analy...
false
false
[ "Olav Lenz", "Frank Keul", "Sebastian Bremm", "Kay Hamacher", "Tatiana von Landesberger" ]
[]
[]
[]
VAST
2,014
Visual Analysis of Public Utility Service Problems in a Metropolis
10.1109/TVCG.2014.2346898
Issues about city utility services reported by citizens can provide unprecedented insights into the various aspects of such services. Analysis of these issues can improve living quality through evidence-based decision making. However, these issues are complex, because of the involvement of spatial and temporal componen...
false
false
[ "Jiawan Zhang", "E. Yanli", "Jing Ma", "Yahui Zhao", "Binghan Xu", "Liting Sun", "Jinyan Chen", "Xiaoru Yuan" ]
[]
[]
[]
VAST
2,014
Visual Analytics for Comparison of Ocean Model Output with Reference Data: Detecting and Analyzing Geophysical Processes Using Clustering Ensembles
10.1109/TVCG.2014.2346751
Researchers assess the quality of an ocean model by comparing its output to that of a previous model version or to observations. One objective of the comparison is to detect and to analyze differences and similarities between both data sets regarding geophysical processes, such as particular ocean currents. This task i...
false
false
[ "Patrick Köthur", "Mike Sips", "Henryk Dobslaw", "Doris Dransch" ]
[]
[]
[]
VAST
2,014
Visual Analytics for Complex Engineering Systems: Hybrid Visual Steering of Simulation Ensembles
10.1109/TVCG.2014.2346744
In this paper we propose a novel approach to hybrid visual steering of simulation ensembles. A simulation ensemble is a collection of simulation runs of the same simulation model using different sets of control parameters. Complex engineering systems have very large parameter spaces so a naïve sampling can result in pr...
false
false
[ "Kresimir Matkovic", "Denis Gracanin", "Rainer Splechtna", "Mario Jelovic", "Benedikt Stehno", "Helwig Hauser", "Werner Purgathofer" ]
[]
[]
[]
VAST
2,014
Visual Exploration of Sparse Traffic Trajectory Data
10.1109/TVCG.2014.2346746
In this paper, we present a visual analysis system to explore sparse traffic trajectory data recorded by transportation cells. Such data contains the movements of nearly all moving vehicles on the major roads of a city. Therefore it is very suitable for macro-traffic analysis. However, the vehicle movements are recorde...
false
false
[ "Zuchao Wang", "Tangzhi Ye", "Min Lu 0002", "Xiaoru Yuan", "Huamin Qu", "Jacky Yuan", "Qianliang Wu" ]
[]
[]
[]
VAST
2,014
Visual Methods for Analyzing Probabilistic Classification Data
10.1109/TVCG.2014.2346660
Multi-class classifiers often compute scores for the classification samples describing probabilities to belong to different classes. In order to improve the performance of such classifiers, machine learning experts need to analyze classification results for a large number of labeled samples to find possible reasons for...
false
false
[ "Bilal Alsallakh", "Allan Hanbury", "Helwig Hauser", "Silvia Miksch", "Andreas Rauber" ]
[]
[]
[]
VAST
2,014
Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling
10.1109/TVCG.2014.2346755
Visual data analysis often requires grouping of data objects based on their similarity. In many application domains researchers use algorithms and techniques like clustering and multidimensional scaling to extract groupings from data. While extracting these groups using a single similarity criteria is relatively straig...
false
false
[ "Jorge Poco", "Aritra Dasgupta", "Yaxing Wei", "William W. Hargrove", "Christopher R. Schwalm", "Deborah N. Huntzinger", "Robert B. Cook", "Enrico Bertini", "Cláudio T. Silva" ]
[]
[]
[]
VAST
2,014
Visualizing Mobility of Public Transportation System
10.1109/TVCG.2014.2346893
Public transportation systems (PTSs) play an important role in modern cities, providing shared/massive transportation services that are essential for the general public. However, due to their increasing complexity, designing effective methods to visualize and explore PTS is highly challenging. Most existing techniques ...
false
false
[ "Wei Zeng 0004", "Chi-Wing Fu", "Stefan Müller Arisona", "Alexander Erath", "Huamin Qu" ]
[]
[]
[]
VAST
2,014
Weaving a Carpet from Log Entries: A Network Security Visualization Built with Co-Creation
10.1109/VAST.2014.7042483
We created a pixel map for multivariate data based on an analysis of the needs of network security engineers. Parameters of a log record are shown as pixels and these pixels are stacked to represent a record. This allows a broad view of a data set on one screen while staying very close to the raw data and to expose com...
false
false
[ "Johannes Landstorfer", "Ivo Herrmann", "Jan-Erik Stange", "Marian Dörk", "Reto Wettach" ]
[]
[]
[]
VAST
2,014
YMCA - Your Mesh Comparison Application
10.1109/VAST.2014.7042491
Polygonal meshes can be created in several different ways. In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstru...
false
false
[ "Johanna Schmidt", "Reinhold Preiner", "Thomas Auzinger", "Michael Wimmer 0001", "M. Eduard Gröller", "Stefan Bruckner" ]
[]
[]
[]
SciVis
2,014
A Robust Parity Test for Extracting Parallel Vectors in 3D
10.1109/TVCG.2014.2346412
Parallel vectors (PV), the loci where two vector fields are parallel, are commonly used to represent curvilinear features in 3D for data visualization. Methods for extracting PV usually operate on a 3D grid and start with detecting seed points on a cell face. We propose, to the best of our knowledge, the first provably...
false
false
[ "Tao Ju", "Minxin Cheng", "Xu Wang", "Ye Duan" ]
[ "HM" ]
[]
[]
SciVis
2,014
ADR - Anatomy-Driven Reformation
10.1109/TVCG.2014.2346405
Dedicated visualization methods are among the most important tools of modern computer-aided medical applications. Reformation methods such as Multiplanar Reformation or Curved Planar Reformation have evolved as useful tools that facilitate diagnostic and therapeutic work. In this paper, we present a novel approach that...
false
false
[ "Jan Kretschmer", "Grzegorz Soza", "Christian Tietjen", "Michael Sühling", "Bernhard Preim", "Marc Stamminger" ]
[]
[]
[]
SciVis
2,014
Advection-Based Sparse Data Management for Visualizing Unsteady Flow
10.1109/TVCG.2014.2346418
When computing integral curves and integral surfaces for large-scale unsteady flow fields, a major bottleneck is the widening gap between data access demands and the available bandwidth (both I/O and in-memory). In this work, we explore a novel advection-based scheme to manage flow field data for both efficiency and sc...
false
false
[ "Hanqi Guo 0001", "Jiang Zhang 0002", "Richen Liu", "Lu Liu 0017", "Xiaoru Yuan", "Jian Huang 0007", "Xiangfei Meng", "Jingshan Pan" ]
[]
[]
[]
SciVis
2,014
Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations
10.1109/TVCG.2014.2346352
Focus-context techniques provide visual guidance in visualizations by giving strong visual prominence to elements of interest while the context is suppressed. However, finding a visual feature to enhance for the focus to pop out from its context in a large dynamic scene, while leading to minimal visual deformation and ...
false
false
[ "Manuela Waldner", "Mathieu Le Muzic", "Matthias Bernhard", "Werner Purgathofer", "Ivan Viola" ]
[]
[]
[]
SciVis
2,014
Boundary Aware Reconstruction of Scalar Fields
10.1109/TVCG.2014.2346351
In visualization, the combined role of data reconstruction and its classification plays a crucial role. In this paper we propose a novel approach that improves classification of different materials and their boundaries by combining information from the classifiers at the reconstruction stage. Our approach estimates the...
false
false
[ "Stefan Lindholm", "Daniel Jönsson", "Charles D. Hansen", "Anders Ynnerman" ]
[]
[]
[]
SciVis
2,014
Characterizing Molecular Interactions in Chemical Systems
10.1109/TVCG.2014.2346403
Interactions between atoms have a major influence on the chemical properties of molecular systems. While covalent interactions impose the structural integrity of molecules, noncovalent interactions govern more subtle phenomena such as protein folding, bonding or self assembly. The understanding of these types of intera...
false
false
[ "David Günther", "Roberto Álvarez Boto", "Juila Contreras-Garcia", "Jean-Philip Piquemal", "Julien Tierny" ]
[]
[]
[]
SciVis
2,014
City Forensics: Using Visual Elements to Predict Non-Visual City Attributes
10.1109/TVCG.2014.2346446
We present a method for automatically identifying and validating predictive relationships between the visual appearance of a city and its non-visual attributes (e.g. crime statistics, housing prices, population density etc.). Given a set of street-level images and (location, city-attribute-value) pairs of measurements,...
false
false
[ "Sean M. Arietta", "Alexei A. Efros", "Ravi Ramamoorthi", "Maneesh Agrawala" ]
[ "HM" ]
[]
[]
SciVis
2,014
Combined Visualization of Wall Thickness and Wall Shear Stress for the Evaluation of Aneurysms
10.1109/TVCG.2014.2346406
For an individual rupture risk assessment of aneurysms, the aneurysm's wall morphology and hemodynamics provide valuable information. Hemodynamic information is usually extracted via computational fluid dynamic (CFD) simulation on a previously extracted 3D aneurysm surface mesh or directly measured with 4D phase-contra...
false
false
[ "Sylvia Saalfeld", "Kai Lawonn", "Thomas Hoffmann 0002", "Martin Skalej", "Bernhard Preim" ]
[]
[]
[]
SciVis
2,014
Conforming Morse-Smale Complexes
10.1109/TVCG.2014.2346434
Morse-Smale (MS) complexes have been gaining popularity as a tool for feature-driven data analysis and visualization. However, the quality of their geometric embedding and the sole dependence on the input scalar field data can limit their applicability when expressing application-dependent features. In this paper we in...
false
false
[ "Attila Gyulassy", "David Günther", "Joshua A. Levine", "Julien Tierny", "Valerio Pascucci" ]
[]
[]
[]
SciVis
2,014
Curve Boxplot: Generalization of Boxplot for Ensembles of Curves
10.1109/TVCG.2014.2346455
In simulation science, computational scientists often study the behavior of their simulations by repeated solutions with variations in parameters and/or boundary values or initial conditions. Through such simulation ensembles, one can try to understand or quantify the variability or uncertainty in a solution as a funct...
false
false
[ "Mahsa Mirzargar", "Ross T. Whitaker", "Robert M. Kirby" ]
[]
[]
[]
SciVis
2,014
Decomposition and Simplification of Multivariate Data using Pareto Sets
10.1109/TVCG.2014.2346447
Topological and structural analysis of multivariate data is aimed at improving the understanding and usage of such data through identification of intrinsic features and structural relationships among multiple variables. We present two novel methods for simplifying so-called Pareto sets that describe such structural rel...
false
false
[ "Lars Huettenberger", "Christian Heine 0002", "Christoph Garth" ]
[]
[]
[]
SciVis
2,014
Design and Evaluation of Interactive Proofreading Tools for Connectomics
10.1109/TVCG.2014.2346371
Proofreading refers to the manual correction of automatic segmentations of image data. In connectomics, electron microscopy data is acquired at nanometer-scale resolution and results in very large image volumes of brain tissue that require fully automatic segmentation algorithms to identify cell boundaries. However, th...
false
false
[ "Daniel Haehn", "Seymour Knowles-Barley", "Mike Roberts 0001", "Johanna Beyer", "Narayanan Kasthuri", "Jeff Lichtman", "Hanspeter Pfister" ]
[]
[]
[]
SciVis
2,014
Escape Maps
10.1109/TVCG.2014.2346442
We present a technique to visualize the streamline-based mapping between the boundary of a simply-connected subregion of arbitrary 3D vector fields. While the streamlines are seeded on one part of the boundary, the remaining part serves as escape border. Hence, the seeding part of the boundary represents a map of strea...
false
false
[ "Gustavo Mello Machado", "Filip Sadlo", "Thomas Müller 0005", "Thomas Ertl" ]
[]
[]
[]
SciVis
2,014
Fast and Memory-Efficienty Topological Denoising of 2D and 3D Scalar Fields
10.1109/TVCG.2014.2346432
Data acquisition, numerical inaccuracies, and sampling often introduce noise in measurements and simulations. Removing this noise is often necessary for efficient analysis and visualization of this data, yet many denoising techniques change the minima and maxima of a scalar field. For example, the extrema can appear or...
false
false
[ "David Günther", "Alec Jacobson", "Jan Reininghaus", "Hans-Peter Seidel", "Olga Sorkine-Hornung", "Tino Weinkauf" ]
[]
[]
[]
SciVis
2,014
Fixed-Rate Compressed Floating-Point Arrays
10.1109/TVCG.2014.2346458
Current compression schemes for floating-point data commonly take fixed-precision values and compress them to a variable-length bit stream, complicating memory management and random access. We present a fixed-rate, near-lossless compression scheme that maps small blocks of 4<sup>d</sup> values in d dimensio...
false
false
[ "Peter Lindstrom 0001" ]
[ "TT" ]
[]
[]
SciVis
2,014
FLDA: Latent Dirichlet Allocation Based Unsteady Flow Analysis
10.1109/TVCG.2014.2346416
In this paper, we present a novel feature extraction approach called FLDA for unsteady flow fields based on Latent Dirichlet allocation (LDA) model. Analogous to topic modeling in text analysis, in our approach, pathlines and features in a given flow field are defined as documents and words respectively. Flow topics ar...
false
false
[ "Fan Hong", "Chufan Lai", "Hanqi Guo 0001", "Enya Shen", "Xiaoru Yuan", "Sikun Li" ]
[]
[]
[]
SciVis
2,014
Interactive Progressive Visualization with Space-Time Error Control
10.1109/TVCG.2014.2346319
We present a novel scheme for progressive rendering in interactive visualization. Static settings with respect to a certain image quality or frame rate are inherently incapable of delivering both high frame rates for rapid changes and high image quality for detailed investigation. Our novel technique flexibly adapts by...
false
false
[ "Steffen Frey", "Filip Sadlo", "Kwan-Liu Ma", "Thomas Ertl" ]
[]
[]
[]
SciVis
2,014
Ligand Excluded Surface: A New Type of Molecular Surface
10.1109/TVCG.2014.2346404
The most popular molecular surface in molecular visualization is the solvent excluded surface (SES). It provides information about the accessibility of a biomolecule for a solvent molecule that is geometrically approximated by a sphere. During a period of almost four decades, the SES has served for many purposes - incl...
false
false
[ "Norbert Lindow", "Daniel Baum", "Hans-Christian Hege" ]
[]
[]
[]
SciVis
2,014
Low-Pass Filtered Volumetric Shadows
10.1109/TVCG.2014.2346333
We present a novel and efficient method to compute volumetric soft shadows for interactive direct volume visualization to improve the perception of spatial depth. By direct control of the softness of volumetric shadows, disturbing visual patterns due to hard shadows can be avoided and users can adapt the illumination t...
false
false
[ "Marco Ament", "Filip Sadlo", "Carsten Dachsbacher", "Daniel Weiskopf" ]
[]
[]
[]
SciVis
2,014
Multi-Charts for Comparative 3D Ensemble Visualization
10.1109/TVCG.2014.2346448
A comparative visualization of multiple volume data sets is challenging due to the inherent occlusion effects, yet it is important to effectively reveal uncertainties, correlations and reliable trends in 3D ensemble fields. In this paper we present bidirectional linking of multi-charts and volume visualization as a mea...
false
false
[ "Ismail Demir", "Christian Dick", "Rüdiger Westermann" ]
[]
[]
[]
SciVis
2,014
Multiscale Symmetry Detection in Scalar Fields by Clustering Contours
10.1109/TVCG.2014.2346332
The complexity in visualizing volumetric data often limits the scope of direct exploration of scalar fields. Isocontour extraction is a popular method for exploring scalar fields because of its simplicity in presenting features in the data. In this paper, we present a novel representation of contours with the aim of st...
false
false
[ "Dilip Mathew Thomas", "Vijay Natarajan" ]
[]
[]
[]
SciVis
2,014
Predicate-Based Focus-and-Context Visualization for 3D Ultrasound
10.1109/TVCG.2014.2346317
Direct volume visualization techniques offer powerful insight into volumetric medical images and are part of the clinical routine for many applications. Up to now, however, their use is mostly limited to tomographic imaging modalities such as CT or MRI. With very few exceptions, such as fetal ultrasound, classic volume...
false
false
[ "Christian Schulte zu Berge", "Maximilian Baust", "Ankur Kapoor", "Nassir Navab" ]
[]
[]
[]
SciVis
2,014
Sparse PDF Volumes for Consistent Multi-Resolution Volume Rendering
10.1109/TVCG.2014.2346324
This paper presents a new multi-resolution volume representation called sparse pdf volumes, which enables consistent multi-resolution volume rendering based on probability density functions (pdfs) of voxel neighborhoods. These pdfs are defined in the 4D domain jointly comprising the 3D volume and its 1D intensity range...
false
false
[ "Ronell Sicat", "Jens H. Krüger", "Torsten Möller", "Markus Hadwiger" ]
[]
[]
[]
SciVis
2,014
Stent Maps - Comparative Visualization for the Prediction of Adverse Events of Transcatheter Aortic Valve Implantations
10.1109/TVCG.2014.2346459
Transcatheter aortic valve implantation (TAVI) is a minimally-invasive method for the treatment of aortic valve stenosis in patients with high surgical risk. Despite the success of TAVI, side effects such as paravalvular leakages can occur postoperatively. The goal of this project is to quantitatively analyze the co-oc...
false
false
[ "Silvia Born", "Simon H. Sündermann", "Christoph Russ", "Raoul Hopf", "Carlos E. Ruiz", "Volkmar Falk", "Michael Gessat" ]
[]
[]
[]
SciVis
2,014
Trajectory-Based Flow Feature Tracking in Joint Particle/Volume Datasets
10.1109/TVCG.2014.2346423
Studying the dynamic evolution of time-varying volumetric data is essential in countless scientific endeavors. The ability to isolate and track features of interest allows domain scientists to better manage large complex datasets both in terms of visual understanding and computational efficiency. This work presents a n...
false
false
[ "Franz Sauer", "Hongfeng Yu 0001", "Kwan-Liu Ma" ]
[]
[]
[]
SciVis
2,014
Trend-Centric Motion Visualization: Designing and Applying a New Strategy for Analyzing Scientific Motion Collections
10.1109/TVCG.2014.2346451
In biomechanics studies, researchers collect, via experiments or simulations, datasets with hundreds or thousands of trials, each describing the same type of motion (e.g., a neck flexion-extension exercise) but under different conditions (e.g., different patients, different disease states, pre- and post-treatment). Ana...
false
false
[ "David Schroeder", "Fedor Korsakov", "Carissa Mai-Ping Knipe", "Lauren Thorson", "Arin M. Ellingson", "David J. Nuckley", "John V. Carlis", "Daniel F. Keefe" ]
[]
[]
[]
SciVis
2,014
Using Topological Analysis to Support Event-Guided Exploration in Urban Data
10.1109/TVCG.2014.2346449
The explosion in the volume of data about urban environments has opened up opportunities to inform both policy and administration and thereby help governments improve the lives of their citizens, increase the efficiency of public services, and reduce the environmental harms of development. However, cities are complex s...
false
false
[ "Harish Doraiswamy", "Nivan Ferreira", "Theodoros Damoulas", "Juliana Freire", "Cláudio T. Silva" ]
[]
[]
[]
SciVis
2,014
ViSlang: A System for Interpreted Domain-Specific Languages for Scientific Visualization
10.1109/TVCG.2014.2346318
Researchers from many domains use scientific visualization in their daily practice. Existing implementations of algorithms usually come with a graphical user interface (high-level interface), or as software library or source code (low-level interface). In this paper we present a system that integrates domain-specific l...
false
false
[ "Peter Rautek", "Stefan Bruckner", "M. Eduard Gröller", "Markus Hadwiger" ]
[]
[]
[]
SciVis
2,014
Visualization of Brain Microstructure Through Spherical Harmonics Illumination of High Fidelity Spatio-Angular Fields
10.1109/TVCG.2014.2346411
Diffusion kurtosis imaging (DKI) is gaining rapid adoption in the medical imaging community due to its ability to measure the non-Gaussian property of water diffusion in biological tissues. Compared to traditional diffusion tensor imaging (DTI), DKI can provide additional details about the underlying microstructural ch...
false
false
[ "Sujal Bista", "Jiachen Zhuo", "Rao P. Gullapalli", "Amitabh Varshney" ]
[ "BP" ]
[]
[]
SciVis
2,014
Visualization of Regular Maps: The Chase Continues
10.1109/TVCG.2014.2352952
A regular map is a symmetric tiling of a closed surface, in the sense that all faces, vertices, and edges are topologically indistinguishable. Platonic solids are prime examples, but also for surfaces with higher genus such regular maps exist. We present a new method to visualize regular maps. Space models are produced...
false
false
[ "Jarke J. van Wijk" ]
[]
[]
[]
SciVis
2,014
Visualizing 2-dimensional Manifolds with Curve Handles in 4D
10.1109/TVCG.2014.2346425
In this paper, we present a mathematical visualization paradigm for exploring curves embedded in 3D and surfaces in 4D mathematical world. The basic problem is that, 3D figures of 4D mathematical entities often twist, turn, and fold back on themselves, leaving important properties behind the surface sheets. We propose ...
false
false
[ "Hui Zhang 0006", "Jianguang Weng", "Guangchen Ruan" ]
[]
[]
[]
SciVis
2,014
Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems
10.1109/TVCG.2014.2346322
As the size of image data from microscopes and telescopes increases, the need for high-throughput processing and visualization of large volumetric data has become more pressing. At the same time, many-core processors and GPU accelerators are commonplace, making high-performance distributed heterogeneous computing syste...
false
false
[ "Hyungsuk Choi", "Woohyuk Choi", "Tran Minh Quan", "David G. C. Hildebrand", "Hanspeter Pfister", "Won-Ki Jeong" ]
[]
[]
[]
SciVis
2,014
Volume-Preserving Mapping and Registration for Collective Data Visualization
10.1109/TVCG.2014.2346457
In order to visualize and analyze complex collective data, complicated geometric structure of each data is desired to be mapped onto a canonical domain to enable map-based visual exploration. This paper proposes a novel volume-preserving mapping and registration method which facilitates effective collective data visual...
false
false
[ "Jiaxi Hu", "Guangyu Zou", "Jing Hua 0001" ]
[]
[]
[]
SciVis
2,014
Vortex Cores of Inertial Particles
10.1109/TVCG.2014.2346415
The cores of massless, swirling particle motion are an indicator for vortex-like behavior in vector fields and to this end, a number of coreline extractors have been proposed in the literature. Though, many practical applications go beyond the study of the vector field. Instead, engineers seek to understand the behavio...
false
false
[ "Tobias Günther", "Holger Theisel" ]
[]
[]
[]
InfoVis
2,014
A Principled Way of Assessing Visualization Literacy
10.1109/TVCG.2014.2346984
We describe a method for assessing the visualization literacy (VL) of a user. Assessing how well people understand visualizations has great value for research (e. g., to avoid confounds), for design (e. g., to best determine the capabilities of an audience), for teaching (e. g., to assess the level of new students), an...
false
false
[ "Jeremy Boy", "Ronald A. Rensink", "Enrico Bertini", "Jean-Daniel Fekete" ]
[]
[]
[]
InfoVis
2,014
Activity Sculptures: Exploring the Impact of Physical Visualizations on Running Activity
10.1109/TVCG.2014.2352953
Data sculptures are a promising type of visualizations in which data is given a physical form. In the past, they have mostly been used for artistic, communicative or educational purposes, and designers of data sculptures argue that in such situations, physical visualizations can be more enriching than pixel-based visua...
false
false
[ "Simon Stusak", "Aurélien Tabard", "Franziska Sauka", "Rohit Ashok Khot", "Andreas Butz" ]
[]
[]
[]
InfoVis
2,014
An Algebraic Process for Visualization Design
10.1109/TVCG.2014.2346325
We present a model of visualization design based on algebraic considerations of the visualization process. The model helps characterize visual encodings, guide their design, evaluate their effectiveness, and highlight their shortcomings. The model has three components: the underlying mathematical structure of the data ...
false
false
[ "Gordon L. Kindlmann", "Carlos Scheidegger" ]
[ "HM" ]
[]
[]
InfoVis
2,014
Attribute Signatures: Dynamic Visual Summaries for Analyzing Multivariate Geographical Data
10.1109/TVCG.2014.2346265
The visual analysis of geographically referenced datasets with a large number of attributes is challenging due to the fact that the characteristics of the attributes are highly dependent upon the locations at which they are focussed, and the scale and time at which they are measured. Specialized interactive visual meth...
false
false
[ "Cagatay Turkay", "Aidan Slingsby", "Helwig Hauser", "Jo Wood", "Jason Dykes" ]
[]
[]
[]
InfoVis
2,014
Axis Calibration for Improving Data Attribute Estimation in Star Coordinates Plots
10.1109/TVCG.2014.2346258
Star coordinates is a well-known multivariate visualization method that produces linear dimensionality reduction mappings through a set of radial axes defined by vectors in an observable space. One of its main drawbacks concerns the difficulty to recover attributes of data samples accurately, which typically lie in the...
false
false
[ "Manuel Rubio-Sánchez", "Alberto Sánchez 0001" ]
[]
[]
[]
InfoVis
2,014
Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time
10.1109/TVCG.2014.2346456
With the continuous rise in complexity of modern supercomputers, optimizing the performance of large-scale parallel programs is becoming increasingly challenging. Simultaneously, the growth in scale magnifies the impact of even minor inefficiencies - potentially millions of compute hours and megawatts in power consumpt...
false
false
[ "Katherine E. Isaacs", "Peer-Timo Bremer", "Ilir Jusufi", "Todd Gamblin", "Abhinav Bhatele", "Martin Schulz 0001", "Bernd Hamann" ]
[]
[]
[]
InfoVis
2,014
Comparative Eye Tracking Study on Node-Link Visualizations of Trajectories
10.1109/TVCG.2014.2346420
We present the results of an eye tracking study that compares different visualization methods for long, dense, complex, and piecewise linear spatial trajectories. Typical sources of such data are from temporally discrete measurements of the positions of moving objects, for example, recorded GPS tracks of animals in mov...
false
false
[ "Rudolf Netzel", "Michael Burch", "Daniel Weiskopf" ]
[]
[]
[]
InfoVis
2,014
Constructing Visual Representations: Investigating the Use of Tangible Tokens
10.1109/TVCG.2014.2346292
The accessibility of infovis authoring tools to a wide audience has been identified as a major research challenge. A key task in the authoring process is the development of visual mappings. While the infovis community has long been deeply interested in finding effective visual mappings, comparatively little attention h...
false
false
[ "Samuel Huron", "Yvonne Jansen", "Sheelagh Carpendale" ]
[]
[]
[]
InfoVis
2,014
Design Activity Framework for Visualization Design
10.1109/TVCG.2014.2346331
An important aspect in visualization design is the connection between what a designer does and the decisions the designer makes. Existing design process models, however, do not explicitly link back to models for visualization design decisions. We bridge this gap by introducing the design activity framework, a process m...
false
false
[ "Sean McKenna", "Dominika Mazur", "James Agutter", "Miriah D. Meyer" ]
[]
[]
[]
InfoVis
2,014
DimpVis: Exploring Time-varying Information Visualizations by Direct Manipulation
10.1109/TVCG.2014.2346250
We introduce a new direct manipulation technique, DimpVis, for interacting with visual items in information visualizations to enable exploration of the time dimension. DimpVis is guided by visual hint paths which indicate how a selected data item changes through the time dimension in a visualization. Temporal navigatio...
false
false
[ "Brittany Kondo", "Christopher Collins 0001" ]
[]
[]
[]
InfoVis
2,014
Domino: Extracting, Comparing, and Manipulating Subsets Across Multiple Tabular Datasets
10.1109/TVCG.2014.2346260
Answering questions about complex issues often requires analysts to take into account information contained in multiple interconnected datasets. A common strategy in analyzing and visualizing large and heterogeneous data is dividing it into meaningful subsets. Interesting subsets can then be selected and the associated...
false
false
[ "Samuel Gratzl", "Nils Gehlenborg", "Alexander Lex", "Hanspeter Pfister", "Marc Streit" ]
[ "HM" ]
[]
[]
InfoVis
2,014
Effects of Presentation Mode and Pace Control on Performance in Image Classification
10.1109/TVCG.2014.2346437
A common task in visualization is to quickly find interesting items in large sets. When appropriate metadata is missing, automatic queries are impossible and users have to inspect all elements visually. We compared two fundamentally different, but obvious display modes for this task and investigated the difference with...
false
false
[ "Paul van der Corput", "Jarke J. van Wijk" ]
[]
[]
[]
InfoVis
2,014
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error
10.1109/TVCG.2014.2346298
When making an inference or comparison with uncertain, noisy, or incomplete data, measurement error and confidence intervals can be as important for judgment as the actual mean values of different groups. These often misunderstood statistical quantities are frequently represented by bar charts with error bars. This pap...
false
false
[ "Michael Correll", "Michael Gleicher" ]
[]
[]
[]
InfoVis
2,014
Exploring the Placement and Design of Word-Scale Visualizations
10.1109/TVCG.2014.2346435
We present an exploration and a design space that characterize the usage and placement of word-scale visualizations within text documents. Word-scale visualizations are a more general version of sparklines-small, word-sized data graphics that allow meta-information to be visually presented in-line with document text. I...
false
false
[ "Pascal Goffin", "Wesley Willett", "Jean-Daniel Fekete", "Petra Isenberg" ]
[]
[]
[]
InfoVis
2,014
Four Experiments on the Perception of Bar Charts
10.1109/TVCG.2014.2346320
Bar charts are one of the most common visualization types. In a classic graphical perception paper, Cleveland & McGill studied how different bar chart designs impact the accuracy with which viewers can complete simple perceptual tasks. They found that people perform substantially worse on stacked bar charts tha...
false
false
[ "Justin Talbot", "Vidya Setlur", "Anushka Anand" ]
[]
[]
[]
InfoVis
2,014
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration
10.1109/TVCG.2014.2346444
The field of graph visualization has produced a wealth of visualization techniques for accomplishing a variety of analysis tasks. Therefore analysts often rely on a suite of different techniques, and visual graph analysis application builders strive to provide this breadth of techniques. To provide a holistic model for...
false
false
[ "Charles D. Stolper", "Minsuk Kahng", "Zhiyuan Lin 0001", "Florian Foerster", "Aakash Goel", "John T. Stasko", "Polo Chau" ]
[]
[]
[]