• DocumentCode
    2580149
  • Title

    Video shot analysis using efficient multiple object tracking

  • Author

    Vinod, V.V. ; Murase, Hiroshi

  • Author_Institution
    NTT Basic Res. Labs., Kanagawa, Japan
  • fYear
    1997
  • fDate
    3-6 Jun 1997
  • Firstpage
    501
  • Lastpage
    508
  • Abstract
    We present a method for analyzing video shots by tracking interesting objects in the video. Tracking employs efficient object search using upper bound pruning and statistical prediction of search area. The trades are analyzed to identify representative frames in shot and to build a concise representation. Experimental results on different types of video data are promising
  • Keywords
    image representation; image sequences; motion estimation; object recognition; optical tracking; concise visual representation; efficient multiple object tracking; key frames; object search; representative frames; upper bound pruning; video data; video shot analysis; Animation; Focusing; Histograms; Image motion analysis; Indexing; Layout; Motion analysis; Object detection; Shape; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems '97. Proceedings., IEEE International Conference on
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    0-8186-5530-5
  • Type

    conf

  • DOI
    10.1109/MMCS.1997.609762
  • Filename
    609762