Now showing items 14-33 of 59

    • Efficient Optimal Overlap Removal: Algorithms and Experiments 

      Meulemans, Wouter (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Motivated by visualizing spatial data using proportional symbols, we study the following problem: given a set of overlapping squares of varying sizes, minimally displace the squares as to remove the overlap while maintaining ...
    • EuroVis 2019 CGF 38-3: Frontmatter 

      Gleicher, Michael; Viola, Ivan; Leitte, Heike (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    • Evaluating Image Quality Measures to Assess the Impact of Lossy Data Compression Applied to Climate Simulation Data 

      Baker, Allison; Hammerling, Dorit; Turton, Terece (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Applying lossy data compression to climate model output is an attractive means of reducing the enormous volumes of data generated by climate models. However, because lossy data compression does not exactly preserve the ...
    • Examining Implicit Discretization in Spectral Schemes 

      Quinan, P. Samuel; Padilla, Lace M. K.; Creem-Regehr, Sarah H.; Meyer, Miriah (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Two of the primary reasons rainbow color maps are considered ineffective trace back to the idea that they implicitly discretize encoded data into hue-based bands, yet no research addresses what this discretization looks ...
    • An Exploratory User Study of Visual Causality Analysis 

      Yen, Chi-Hsien Eric; Parameswaran, Aditya; Fu, Wai-Tat (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Interactive visualization tools are being used by an increasing number of members of the general public; however, little is known about how, and how well, people use visualizations to infer causality. Adapted from the ...
    • Focus+Context Exploration of Hierarchical Embeddings 

      Höllt, Thomas; Vilanova, Anna; Pezzotti, Nicola; Lelieveldt, Boudewijn P. F.; Hauser, Helwig (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Hierarchical embeddings, such as HSNE, address critical visual and computational scalability issues of traditional techniques for dimensionality reduction. The improved scalability comes at the cost of the need for increased ...
    • Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis 

      Ottley, Alvitta; Garnett, Roman; Wan, Ran (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The goal of visual analytics is to create a symbiosis between human and computer by leveraging their unique strengths. While this model has demonstrated immense success, we are yet to realize the full potential of such a ...
    • A Framework for GPU-accelerated Exploration of Massive Time-varying Rectilinear Scalar Volumes 

      Marton, Fabio; Agus, Marco; Gobbetti, Enrico (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We introduce a novel flexible approach to spatiotemporal exploration of rectilinear scalar volumes. Our out-of-core representation, based on per-frame levels of hierarchically tiled non-redundant 3D grids, efficiently ...
    • A Geometric Optimization Approach for the Detection and Segmentation of Multiple Aneurysms 

      Lawonn, Kai; Meuschke, Monique; Wickenhöfer, Ralph; Preim, Bernhard; Hildebrandt, Klaus (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a method for detecting and segmenting aneurysms in blood vessels that facilitates the assessment of risks associated with the aneurysms. The detection and analysis of aneurysms is important for medical diagnosis ...
    • Hybrid Touch/Tangible Spatial 3D Data Selection 

      Besançon, Lonni; Sereno, Mickael; Yu, Lingyun; Ammi, Mehdi; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We discuss spatial selection techniques for three-dimensional datasets. Such 3D spatial selection is fundamental to exploratory data analysis. While 2D selection is efficient for datasets with explicit shapes and structures, ...
    • IGM-Vis: Analyzing Intergalactic and Circumgalactic Medium Absorption Using Quasar Sightlines in a Cosmic Web Context 

      Burchett, Joseph N.; Abramov, David; Otto, Jasmine Tan; Artanegara, Cassia; Prochaska, Jason Xavier; Forbes, Angus G. (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We introduce IGM-Vis, a novel astrophysics visualization and data analysis application for investigating galaxies and the gas that surrounds them in context with their larger scale environment, the Cosmic Web. Environment ...
    • InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics 

      Mathisen, Andreas; Horak, Tom; Klokmose, Clemens Nylandsted; Grønbæk, Kaj; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Analyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators ...
    • Interactive Visualization of Flood and Heavy Rain Simulations 

      Cornel, Daniel; Buttinger-Kreuzhuber, Andreas; Konev, Artem; Horváth, Zsolt; Wimmer, Michael; Heidrich, Raimund; Waser, Jürgen (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we present a real-time technique to visualize large-scale adaptive height fields with C1-continuous surface reconstruction. Grid-based shallow water simulation is an indispensable tool for interactive flood ...
    • An Interactive Visualization System for Large Sets of Phase Space Trajectories 

      Neuroth, Tyson; Sauer, Franz; Ma, Kwan-Liu (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We introduce a visual analysis system with GPU acceleration techniques for large sets of trajectories from complex dynamical systems. The approach is based on an interactive Boolean combination of subsets into a Focus+Context ...
    • Interactive Volumetric Visual Analysis of Glycogen-derived Energy Absorption in Nanometric Brain Structures 

      Agus, Marco; Calì, Corrado; Al-Awami, Ali K.; Gobbetti, Enrico; Magistretti, Pierre J.; Hadwiger, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Digital acquisition and processing techniques are changing the way neuroscience investigation is carried out. Emerging applications range from statistical analysis on image stacks to complex connectomics visual analysis ...
    • Investigating Effects of Visual Anchors on Decision-Making about Misinformation 

      Wesslen, Ryan; Santhanam, Sashank; Karduni, Alireza; Cho, Isaac; Shaikh, Samira; Dou, Wenwen (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Cognitive biases are systematic errors in judgment due to an over-reliance on rule-of-thumb heuristics. Recent research suggests that cognitive biases, like numerical anchoring, transfers to visual analytics in the form ...
    • Investigating the Manual View Specification and Visualization by Demonstration Paradigms for Visualization Construction 

      Saket, Bahador; Endert, Alex (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Abstract Interactivity plays an important role in data visualization. Therefore, understanding how people create visualizations given different interaction paradigms provides empirical evidence to inform interaction design. ...
    • Kyrix: Interactive Pan/Zoom Visualizations at Scale 

      Tao, Wenbo; Liu, Xiaoyu; Wang, Yedi; Battle, Leilani; Demiralp, Çagatay; Chang, Remco; Stonebraker, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Pan and zoom are basic yet powerful interaction techniques for exploring large datasets. However, existing zoomable UI toolkits such as Pad++ and ZVTM do not provide the backend database support and data-driven primitives ...
    • Latent Space Cartography: Visual Analysis of Vector Space Embeddings 

      Liu, Yang; Jun, Eunice; Li, Qisheng; Heer, Jeffrey (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Latent spaces-reduced-dimensionality vector space embeddings of data, fit via machine learning-have been shown to capture interesting semantic properties and support data analysis and synthesis within a domain. Interpretation ...
    • Linking and Layout: Exploring the Integration of Text and Visualization in Storytelling 

      Zhi, Qiyu; Ottley, Alvitta; Metoyer, Ronald (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Modern web technologies are enabling authors to create various forms of text visualization integration for storytelling. This integration may shape the stories' flow and thereby affect the reading experience. In this paper, ...