• DocumentCode
    2716745
  • Title

    Automatic cut and camera operation detection for video

  • Author

    Hirzalla, Nael ; Karmouch, Ahmed

  • Author_Institution
    Multimedia Inf. Res. Lab., Ottawa Univ., Ont., Canada
  • fYear
    34851
  • fDate
    7-9 Jun1995
  • Firstpage
    290
  • Lastpage
    291
  • Abstract
    Video should be segmented into shots to be used for identification and indexing. Various changes may happen within a single shot such as those related to camera operations, object movements, flashes, etc. Various similarities between different shots may also occur. Therefore, techniques based on interframe comparisons may result in detecting false cuts or missing true cuts if the appropriate threshold has not been chosen. In this paper, we propose a detection algorithm that understands and detects various changes within a shot in order to detect the cuts between separate shots
  • Keywords
    image recognition; video signal processing; automatic cut detection; camera operation detection; camera operations; detection algorithm; flashes; identification; indexing; interframe comparisons; object movements; shots; threshold; video; Cameras; Detection algorithms; Gunshot detection systems; Histograms; Indexing; Information retrieval; Laboratories; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, 1995., Proceedings of International Conference on
  • Conference_Location
    Rosemont, IL
  • Print_ISBN
    0-7803-2140-5
  • Type

    conf

  • DOI
    10.1109/ICCE.1995.517992
  • Filename
    517992