Content Augmentation Aspects of Personalized Entertainment Experience

نویسندگان

  • Nevenka Dimitrova
  • John Zimmerman
  • Angel Janevski
  • Lalitha Agnihotri
  • Norman Haas
  • Ruud Bolle
چکیده

We present personalization aspects in information and video content retrieval and augmentation applications. Our goal is to explore the value of linking related content among different media such as TV and Web. Metadata extraction can make a great difference for personalized user experience. Annotations that provide title, genre, description, and cast can be greatly enriched with detailed information at subprogram level, i.e. at the scene and story level. This enhanced metadata can be matched against the user profile for prioritizing information and entertainment.

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تاریخ انتشار 2003