• DocumentCode
    2695856
  • Title

    Analyzing video concept detectors visually

  • Author

    Snoek, Cees G M ; Van Balen, Richard ; Koelma, Dennis C. ; Smeulders, Arnold W M ; Worring, Marcel

  • Author_Institution
    ISLA, Amsterdam Univ., Amsterdam
  • fYear
    2008
  • fDate
    June 23 2008-April 26 2008
  • Firstpage
    1603
  • Lastpage
    1604
  • Abstract
    In this demonstration we showcase an interactive analysis tool for researchers working on concept-based video retrieval. By visualizing intermediate concept detection analysis stages, the tool aids in understanding the success and failure of video concept detection methods. We demonstrate the tool on the domain of pop concert video.
  • Keywords
    content-based retrieval; indexing; video retrieval; video signal processing; concept-based video retrieval; pop concert video; video concept detection methods; Bridges; Content based retrieval; Data mining; Detectors; Failure analysis; Feature extraction; Labeling; Mobile handsets; Supervised learning; Visualization; analysis tool; video concept detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2008 IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2570-9
  • Electronic_ISBN
    978-1-4244-2571-6
  • Type

    conf

  • DOI
    10.1109/ICME.2008.4607759
  • Filename
    4607759