Now showing items 10-26 of 26

    • Quantitative Evaluation for Edge Bundling Based on Structural Aesthetics 

      Saga, Ryosuke (The Eurographics Association, 2016)
      This study proposes a method to evaluate the efficiency of edge bundling. Edge bundling is important to improve visual clutter of edge visualization. However, the evaluation of edge bundling is based only on qualitative ...
    • Query by Visual Words: Visual Search for Scatter Plot Visualizations 

      Shao, Lin; Schleicher, Timo; Schreck, Tobias (The Eurographics Association, 2016)
      Finding interesting views in large collections of data visualizations, e.g., scatter plots, is challenging. Recently, ranking views based on heuristic quality measures has been proposed. However, quality measures may fail ...
    • Styrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Server 

      Andrews, Keith; Traunmüller, Thomas; Wolkinger, Thomas; Goldgruber, Eva; Gutounig, Robert; Ausserhofer, Julian (The Eurographics Association, 2016)
      Statistical open data is usually provided only in the form of spreadsheets or CSV files. The developers of open data apps must either restrict themselves to managable bite-sized chunks of data, which can be consumed (read, ...
    • TaCo: Comparative Visualization of Large Tabular Data 

      Hourieh, Reem; Stitz, Holger; Gehlenborg, Nils; Streit, Marc (The Eurographics Association, 2016)
      Tabular data plays a vital role in many different domains. In the course of a project, changes to the structure and content of tables can result in multiple instances of a table. A challenging task when working with such ...
    • Towards Combining Attribute-based and Time Series-based Visual Querying 

      Sessler, David; Spott, Martin; Nauck, Detlef; Harmer, William; Kohlhammer, Jörn; Bernard, Jürgen (The Eurographics Association, 2016)
      We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, ...
    • Tracking and Visualizing Dynamic Structures in Multichannel EEG Coherence Networks 

      Ji, Chengtao; Gronde, J. J. van de; Maurits, N. M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2016)
      An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of ...
    • Tracking Space-Filling Features by Two-Step Optimization 

      Schnorr, Andrea; Freitag, Sebastian; Kuhlen, Torsten W.; Hentschel, Bernd (The Eurographics Association, 2016)
      We present a novel approach for tracking space-filling features, i.e., a set of features covering the entire domain. The assignment between successive time steps is determined by a two-step, global optimization scheme. ...
    • Transfer Function Optimization Based on a Combined Model of Visibility and Saliency 

      Luo, Shengzhou; Dingliana, John (The Eurographics Association, 2016)
      We present an automated technique to optimize the clarity of features in visualizations of 3D volume datasets. By adjusting the opacity transfer function, we achieve user-specified target distributions of feature conspicuity. ...
    • Understanding Networks beyond Overlapping Clusters 

      Guchev, Vladimir; Angelini, S.; Amati, G. (The Eurographics Association, 2016)
      Tasks associated with the investigation of large complex clustered networks are widespread in various research areas. Among the popular and common approaches to exploratory analysis, it is definitely worthwhile to underscore ...
    • User Interaction Visualization for Design Synthesis 

      Aselmaa, Anet; Song, Yu; Goossens, Richard H. M. (The Eurographics Association, 2016)
      Through the synthesis of gathered user research data, interaction designers are able to generate design proposals. Logging user interactions with a software provides a rich set of data that can give further insights into ...
    • Visual Analysis of Text Annotations for Stance Classification with ALVA 

      Kucher, Kostiantyn; Kerren, Andreas; Paradis, Carita; Sahlgren, Magnus (The Eurographics Association, 2016)
      The automatic detection and classification of stance taking in text data using natural language processing and machine learning methods create an opportunity to gain insight about the writers' feelings and attitudes towards ...
    • Visual Analytics for Fraud Detection: Focusing on Profile Analysis 

      Leite, Roger Almeida; Gschwandtner, Theresia; Miksch, Silvia; Gstrein, Erich; Kuntner, Johannes (The Eurographics Association, 2016)
      Financial institutions are always interested in ensuring security and quality for their customers. Banks, for instance, need to identify and avoid harmful transactions. In order to detect fraudulent operations, data mining ...
    • Visual Data Exploration for Balance Quantification During Exergaming 

      Soancatl, Venustiano; Gronde, J. J. van de; Lamoth, C. J. C.; Maurits, N. M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2016)
      Recently, digital games controlled by real-time body movements (exergames) have been proposed as an innovative method to improve balance among older adults. One of the main challenges for exergames is to automatically ...
    • Visualization-Aware Color Design 

      Szafir, Danielle Albers; Gleicher, Michael (The Eurographics Association, 2016)
      Color encoding design currently focuses on the colors themselves: visualization designers choose sets of colors that work well in isolation. However, the effectiveness of a color encoding depends on properties of the ...
    • Visualizing Article Similarities in Wikipedia 

      Riehmann, Patrick; Potthast, Martin; Gruendl, Henning; Kiesel, Johannes; Jürges, Dean; Castiglia, Giuliano; Ter-Akopyan, Bagrat; Froehlich, Bernd (The Eurographics Association, 2016)
      In this poster we present intermediate results regarding visual text analytics on Wikipedia. We implemented a visualization providing insight about similarities among Wikipedia articles in terms of structure as well as ...
    • Volume Rendering Using Principal Component Analysis 

      Alakkari, Salaheddin; Dingliana, John (The Eurographics Association, 2016)
      We investigate the use of Principal Component Analysis (PCA) for image-based volume rendering. We compute an eigenspace using training images, pre-rendered using a standard raycaster, from a spherically distributed range ...
    • When Individual Data Points Matter: Interactively Analysing Classification Landscapes 

      Schneider, Bruno; Mittelstädt, Sebastian; Keim, Daniel A. (The Eurographics Association, 2016)
      The selection of classification models among several options with similar accuracy cannot be done through purely automated methods, and especially in scenarios in which the cost of misclassified instances is crucial, such ...