• DocumentCode
    2936370
  • Title

    Similarity-Based Visualization for Image Browsing Revisited

  • Author

    Schoeffmann, Klaus ; Ahlström, David

  • Author_Institution
    Inst. of Inf. Technol., Alpen-Adria-Univ. Klagenfurt, Klagenfurt, Austria
  • fYear
    2011
  • fDate
    5-7 Dec. 2011
  • Firstpage
    422
  • Lastpage
    427
  • Abstract
    We investigate whether users´ visual search performance in a commonly used grid-like arrangement of images (i.e., a storyboard) can be improved by using a similarity-based sorting of images. We propose a simple but efficient algorithm for sorting image based on their color similarity. The algorithm generates an intuitive arrangement of images and allows for general application with several different layouts (e.g., storyboard, simple row/column, 3D globe/cylinder). In difference to previous work, which rarely present results from user studies, we perform a fair user study and compare an interface with color sorted images to an interface with images positioned in a random order. Both interfaces use exactly the same screen estate and interaction means. Results show that users are 20% faster with the sorted interface.
  • Keywords
    data visualisation; image colour analysis; sorting; color similarity; grid-like arrangement; image browsing; image sorting; similarity-based sorting; similarity-based visualization; visual search performance; Computers; Error analysis; Image color analysis; Layout; Sorting; Three dimensional displays; Visualization; image browsing; image sorting; user study; visual search; visual similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia (ISM), 2011 IEEE International Symposium on
  • Conference_Location
    Dana Point CA
  • Print_ISBN
    978-1-4577-2015-4
  • Type

    conf

  • DOI
    10.1109/ISM.2011.76
  • Filename
    6123383