• DocumentCode
    3466283
  • Title

    Who needs video summarization anyway?

  • Author

    Santini, Simone

  • Author_Institution
    Univ. Autonoma de Madrid, Madrid
  • fYear
    2007
  • fDate
    17-19 Sept. 2007
  • Firstpage
    177
  • Lastpage
    184
  • Abstract
    The purpose of video summarization, when used in an interface, is to extract from a video a limited number of key-frame that convey the meaning of the whole video at a glance. The development of cut detection and key-frame selection algorithm is based on the unspoken assumption that such meaning is conveyed not only by the sheer number of frames that is being presented, but that the comprehension of the video is increased by a careful choice of these frames. This paper presents an experiment that challenges this assumption. Two videos were synthetized using careful frame selection and using a uniform sampling of the video with the same number of frames, and the comprehension of two group of subjects was tested by asking them questions about the videos. The experiment revealed no difference between the comprehension gained by seeing the carefully selected key-frames and that gained by looking at the uniform sampling of the video.
  • Keywords
    feature extraction; image sampling; video signal processing; cut detection algorithm; frame selection; key-frame selection algorithm; video extraction; video summarization; video uniform sampling; Cameras; Face detection; Gunshot detection systems; Hip; Instruments; Layout; Sampling methods; Streaming media; Testing; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing, 2007. ICSC 2007. International Conference on
  • Conference_Location
    Irvine, CA
  • Print_ISBN
    978-0-7695-2997-4
  • Type

    conf

  • DOI
    10.1109/ICSC.2007.96
  • Filename
    4338347