Shot Boundary Detection with Simple Boosted Classifiers

نویسندگان

  • Michal Hradiš
  • Pavel Zemčík
چکیده

This paper presents an approach to detection of hard cuts in video based on simple boosted classifiers and a large set of intra-frame distance measures, which are extracted from pairs of images in small local neighborhood. The performance of the proposed approach is evaluated on the test data from TRECVID 2007 shot boundary detection task.

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تاریخ انتشار 2008