A Content Based Internet Search Engine for Analysis and Archival of MPEG-1 Compressed Newsfeeds

نویسندگان

  • Odej Kao
  • Gerhard R. Joubert
چکیده

In this paper a specialised search engine for TV news editors as part of a system for analysis and presentation of MPEG compressed newsfeeds is discussed. The editor is supplied with additional material relating to particular news items, which he can, for example, use to prepare the accompanying text of newscasts. The key words for the search engine are extracted automatically from the compressed MPEG newsfeeds. This is a complex process including a video analysis phase, image preprocessing of the frames with the textual information and finally character recognition. The extracted key words can on the one hand be used by news editors to search for particular news items in a newsfeed and on the other to search for additional information on the Internet. All information supplied to news editors is presented in a well-structured and clear fashion by the ClaViPS system based on HTML pages.

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تاریخ انتشار 2000