A New Approach to Content-based Video Indexing Using Hidden Markov Models

نویسندگان

  • Stefan Eickeler
  • Andreas Kosmala
  • Gerhard Rigoll
چکیده

This paper presents one of the rst investigations of the use of Hidden Markov Models (HMMs) for content-based video indexing. A real-time video indexing system for TV news is described, which is able to distinguish between six diierent classes. The huge potential of these methods for video indexing of movies and TV shows is demonstrated by presenting the rst very promising results.

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تاریخ انتشار 1997