Break Detection and Camera MotionClassi cation in Digital

نویسندگان

  • Micha Haas
  • Michael S. Lew
  • Dionysius P. Huijsmans
چکیده

In this paper we describe methods using 2D-pixel motion elds for detecting shot breaks and classifying camera motion in digital video. These ow elds can be calculated with optical ow or correlation matching. The Karhunen-Loe ve transform (KLT), based on statistical properties, insures extraction of optimal linear features from ow elds representing a particular motion class. Two methods for classiication are discussed, and experimental results for each method are presented.

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تاریخ انتشار 1998