Video indexing through integration of syntactic and semantic features

نویسندگان

  • Bilge Günsel
  • A. Müfit Ferman
  • A. Murat Tekalp
چکیده

This paper proposes a content-based video indexing system which provides the functionalities necessary for automatic management of video data through integration of syntactic and semantic features. The proposed system has been applied to detection, classiication and then indexing of news programs collected from diierent TV channels. Although the paper focuses on news programs, the same methods can be used to content-based index and search other TV programs with distinct semantic structure.

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تاریخ انتشار 1996