Hidden Markov model parsing of video programs

  title={Hidden Markov model parsing of video programs},
  author={Wayne H. Wolf},
This paper introduces statistical parsing of video programs using hidden Markov models (HMMs). The fundamental units of a video program are shots and transitions (fades, dissolves, etc.). Those units are in turn used to create more complex structures, such as scenes. Parsing a video allows us to recognize higher-level story abstractions—dialog sequences, transitional scenes, etc. These higher-level story elements can be used to create summarizations of the programs, to recognize the most… CONTINUE READING
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Summarizing raw video material using Hidden Markov Models

2009 10th Workshop on Image Analysis for Multimedia Interactive Services • 2009
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