Automatic Key Video Object Plane Selection Using the Shape Information in the MPEG-4 Compressed Domain

نویسندگان

  • Berna Erol
  • Faouzi Kossentini
چکیده

Object-based video representation, such as the one suggested by the MPEG-4 standard, offers a framework that is better suited for object-based video indexing and retrieval. In such a framework, the concept of a “key frame” is replaced by that of a “key video object plane.” In this paper, we propose a method for key video object plane selection using the shape information in the MPEG-4 compressed domain. The shape of the video object (VO) is approximated using the shape coding modes of I, P, and B video object planes (VOPs) without decoding the shape information in the MPEG-4 bit stream. Two popular shape distance measures, the Hamming and Hausdorff distance measures, are modified to measure the similarities between the approximated shapes of the video objects. Although they feature different computational and implementation complexity tradeoffs, the corresponding algorithms achieve essentially the same performance levels in selecting key video object planes that represent efficiently the salient content of the video objects.

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عنوان ژورنال:
  • IEEE Trans. Multimedia

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2000