• DocumentCode
    420232
  • Title

    Collection understanding [visualization tools in information retrieval]

  • Author

    Chang, Michelle ; Leggett, John J. ; Furuta, Richard ; Kerne, Andruid ; Williams, J. Patrick ; Burns, Samuel A. ; Bias, Randolph G.

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
  • fYear
    2004
  • fDate
    7-11 June 2004
  • Firstpage
    334
  • Lastpage
    342
  • Abstract
    Collection understanding shifts the traditional focus of retrieval in large collections from locating specific artifacts to gaining a comprehensive view of the collection. Visualization tools are critical to the process of efficient collection understanding. By presenting simple visual interfaces and intuitive methods of interacting with a collection, users come to understand the essence of the collection by focusing on the artifacts. We discuss a practical approach for enhancing collection understanding in image collections.
  • Keywords
    Internet; data visualisation; digital libraries; graphical user interfaces; information filters; information retrieval; online front-ends; visual databases; ambient slideshow; image collection understanding enhancement; image visualization tools; information retrieval; intuitive methods; specific artifact locating; streaming collage; variably gridded thumbnails; visual interfaces; Computer science; Displays; Focusing; Graphical user interfaces; Information retrieval; Navigation; Permission; Software libraries; User interfaces; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on
  • Print_ISBN
    1-58113-832-6
  • Type

    conf

  • DOI
    10.1109/JCDL.2004.1336144
  • Filename
    1336144