Efficient Indexing for High Dimensional Data: Applications to a Video Search Tool

نویسندگان

  • Thierry Urruty
  • Fatima Belkouch
  • Chabane Djeraba
چکیده

The emergence of numerical technologies in the audio-visual sector requires the use of powerful tools for accessing data. In this demonstration paper, we focus on content-based indexing and similarity search in very large audiovisual databases of business movie companies. This paper summarizes our analytical study and experimental results for two new indexing structures we propose. These structures are integrated in a search tool we detail briefly intended for professional users of large company film databases. A video demonstration can be downloaded from www.lifl.fr/~urruty/urruty

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تاریخ انتشار 2006