Classification TV programs based on audio information using hidden Markov model

  title={Classification TV programs based on audio information using hidden Markov model},
  author={Zhu Liu and Jincheng Huang and Yao Wang},
This paper describes a technique for classifying TV broadcast video using Hidden Markov Model (HMM) [1]. Here we consider the problem of discriminating five types of TV programs, namely commercials, basketball games, football games, news reports, and weather forecasts. Eight frame-based audio features are used to characterize the low-level audio properties, and fourteen clip-based audio features are extracted based on these frame-based features to characterize the high-level audio properties… CONTINUE READING
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