• Algorithmic Improvements on Hilbert and Moore Treemaps for Visualization of Large Tree-structured Datasets 

  Scheibel, Willy; Weyand, Christopher; Bethge, Joseph; Döllner, Jürgen (The Eurographics Association, 2021)

  Hilbert and Moore treemaps are based on the same named space-filling curves to lay out tree-structured data for visualization. One main component of them is a partitioning subroutine, whose algorithmic complexity poses ...

• Selective Angular Brushing of Parallel Coordinate Plots 

  Sahann, Raphael; Gajic, Ivana; Moeller, Torsten; Schmidt, Johanna (The Eurographics Association, 2021)

  Parallel coordinates are an established technique to visualize multivariate data. Since these graphs are generally hard to read, we need interaction techniques to judge them accurately. Adding to the existing brushing ...

• A Multilevel Approach for Event-Based Dynamic Graph Drawing 

  Arleo, Alessio; Miksch, Silvia; Archambault, Daniel (The Eurographics Association, 2021)

  The timeslice is the predominant method for drawing and visualizing dynamic graphs. However, when nodes and edges have real coordinates along the time axis, it becomes difficult to organize them into discrete timeslices, ...

• Toward an Interactive Voronoi Treemap for Manual Arrangement and Grouping 

  Abuthawabeh, Ala; Aupetit, Michael (The Eurographics Association, 2021)

  Interactive spatial arrangement and grouping (A&G) of images is a critical step of the sense-making process. We argue that to support A&G tasks, a visual encoding idiom should avoid clutter, show groups explicitly, and ...

• TaskVis: Task-oriented Visualization Recommendation 

  Shen, Leixian; Shen, Enya; Tai, Zhiwei; Song, Yiran; Wang, Jianmin (The Eurographics Association, 2021)

  General visualization recommendation systems typically make design decisions of the dataset automatically. However, these systems are only able to prune meaningless visualizations but fail to recommend targeted results. ...

• Evaluating Interactive Comparison Techniques in a Multiclass Density Map for Visual Crime Analytics 

  Svicarovic, Lukas; Parra, Denis; Lobo, María Jesús (The Eurographics Association, 2021)

  Techniques for presenting objects spatially via density maps have been thoroughly studied, but there is lack of research on how to display this information in the presence of several classes, i.e., multiclass density maps. ...

• Discussion Flows: An Interactive Visualization for Analyzing Engagement in Multi-Party Meetings 

  Wang, Tao; Keck, Mandy; Vosough, Zana (The Eurographics Association, 2021)

  Engagement in multi-party meetings is a key indicator of outcome. Poor attendee involvement can hinder progress and hurt team cohesion. Thus, there is a strong motivation for organizations to better understand what happens ...

• Graceful Degradation for Real-time Visualization of Streaming Geospatial Data 

  Rafael, João; Moreira, João; Mendes, Daniel; Alves, Mário; Gonçalves, Daniel (The Eurographics Association, 2021)

  The availability of devices that can record locations and are connected to the Internet creates a huge amount of geospatial data that are continuously streamed. The informative visualization of such data is a challenging ...

• DanceMoves: A Visual Analytics Tool for Dance Movement Analysis 

  Arpatzoglou, Vasiliki; Kardara, Artemis; Diehl, Alexandra; Flueckiger, Barbara; Helmer, Sven; Pajarola, Renato (The Eurographics Association, 2021)

  Analyzing body movement as a means of expression is of interest in diverse areas, such as dance, sports, films, as well as anthropology or archaeology. In particular, in choreography, body movements are at the core of ...

• VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space 

  Scheidl, Andreas; Leite, Roger A.; Miksch, Silvia (The Eurographics Association, 2021)

  Multivariate networks are complex data structures, which are ubiquitous in many application domains. Driven by a real-world problem, namely the movement behavior of citizens in Vienna, we designed and implemented a Visual ...

• Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition 

  Pulido, Jesus; Patchett, John; Bhattarai, Manish; Alexandrov, Boian; Ahrens, James (The Eurographics Association, 2021)

  Choosing salient time steps from spatio-temporal data is useful for summarizing the sequence and developing visualizations for animations prior to committing time and resources to their production on an entire time series. ...

• Visualization of Uncertain Multivariate Data via Feature Confidence Level-Sets 

  Sane, Sudhanshu; Athawale, Tushar M.; Johnson, Chris R. (The Eurographics Association, 2021)

  Recent advancements in multivariate data visualization have opened new research opportunities for the visualization community. In this paper, we propose an uncertain multivariate data visualization technique called feature ...

• Integration-Aware Vector Field Super Resolution 

  Sahoo, Saroj; Berger, Matthew (The Eurographics Association, 2021)

  In this work we propose an integration-aware super-resolution approach for 3D vector fields. Recent work in flow field superresolution has achieved remarkable success using deep learning approaches. However, existing ...

• Visual Analysis of the Relation Between Stiffness Tensor and the Cauchy-Green Tensor 

  Blecha, Christian; Hergl, Chiara; Nagel, Thomas; Scheuermann, Gerik (The Eurographics Association, 2021)

  Stress and strain tensors, two well-known quantities in mechanical engineering, are linked through a fourth-order stiffness tensor, which is not considered by many visualizations due to its complexity. Considering an ...

• Analytic Ray Splitting for Controlled Precision DVR 

  Weiss, Sebastian; Westermann, Rüdiger (The Eurographics Association, 2021)

  For direct volume rendering of post-classified data, we propose an algorithm that analytically splits a ray through a cubical cell at the control points of a piecewise-polynomial transfer function. This splitting generates ...

• RISSAD: Rule-based Interactive Semi-Supervised Anomaly Detection 

  Deng, Jiahao; Brown, Eli T. (The Eurographics Association, 2021)

  Anomaly detection has gained increasing attention from researchers in recent times. Owing to a lack of reliable ground-truth labels, many current state-of-art techniques focus on unsupervised learning, which lacks a mechanism ...

• SailVis: Reconstruction and Multifaceted Visualization of Sail Shape 

  Mu, Danfeng; Pieras, Marcos; Broekens, Douwe; Marroquim, Ricardo (The Eurographics Association, 2021)

  While sailing, sailors rely on their eyes to inspect the sail shape and adjust the configurations to achieve an appropriate shape for a certain the weather condition. Mastering this so-called trimming process requires years ...

• RoomCanvas: A Visualization System for Spatiotemporal Temperature Data in Smart Homes 

  König, Bastian; Limberger, Daniel; Klimke, Jan; Hagedorn, Benjamin; Döllner, Jürgen (The Eurographics Association, 2021)

  Spatiotemporal measurements such as power consumption, temperature, humidity, movement, noise, brightness, etc., will become ubiquitously available in both old and modern homes to capture and analyze behavioral patterns. ...

• VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks 

  Park, Cheonbok; Yang, Soyoung; Na, Inyoup; Chung, Sunghyo; Shin, Sungbok; Kwon, Bum Chul; Park, Deokgun; Choo, Jaegul (The Eurographics Association, 2021)

  Convolutional neural networks (CNNs) are popularly used in a wide range of applications, such as computer vision, natural language processing, and human-computer interaction. However, testing and understanding a trained ...

• EuroVis 2021 Short Papers: Frontmatter 

  Agus, Marco; Garth, Christoph; Kerren, Andreas (The Eurographics Association, 2021)

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