• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 33 (2014)
    • 33-Issue 3
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 33 (2014)
    • 33-Issue 3
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Methods for Compensating Contrast Effects in Information Visualization

    Thumbnail
    View/Open
    v33i3pp231-240.pdf (5.192Mb)
    0131-file1.zip (5.554Mb)
    Date
    2014
    Author
    Mittelstädt, Sebastian
    Stoffel, Andreas
    Keim, Daniel A.
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    Color, as one of the most effective visual variables, is used in many techniques to encode and group data points according to different features. Relations between features and groups appear as visual patterns in the visualization. However, optical illusions may bias the perception at the first level of the analysis process. For instance, in pixel-based visualizations contrast effects make pixels appear brighter if surrounded by a darker area, which distorts the encoded metric quantity of the data points. Even if we are aware of these perceptual issues, our visual cognition system is not able to compensate these effects accurately. To overcome this limitation, we present a color optimization algorithm based on perceptual metrics and color perception models to reduce physiological contrast or color effects. We evaluate our technique with a user study and find that the technique doubles the accuracy of users comparing and estimating color encoded data values. Since the presented technique can be used in any application without adaption to the visualization itself, we are able to demonstrate its effectiveness on data visualizations in different domains.
    BibTeX
    @article {10.1111:cgf.12379,
    journal = {Computer Graphics Forum},
    title = {{Methods for Compensating Contrast Effects in Information Visualization}},
    author = {Mittelstädt, Sebastian and Stoffel, Andreas and Keim, Daniel A.},
    year = {2014},
    publisher = {The Eurographics Association and John Wiley and Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.12379}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12379
    Collections
    • 33-Issue 3
    • EuroVis14: Eurographics Conference on Visualization

    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA