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Extracting semantics and content adaptive summarisation for effective video retrieval

Ren, Jinchang and Jiang, J. (2009) Extracting semantics and content adaptive summarisation for effective video retrieval. [Proceedings Paper]

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    Abstract

    Content-based Information Retrieval (CBIR) has been widely investigated to overcome in text-based systems; Automatic extraction of semantics is one of the fundamental tasks for CBIR applications; It is particularly important to extract objects/semantics from content-rich video sources for effective retrieval; Content-adaptive summarisation is useful in achieving effective data representation and transmission;

    Item type: Proceedings Paper
    ID code: 29416
    Keywords: semantics, media , internet, content-based information retrieval, CBIR, Engineering design
    Subjects: Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
      Depositing user: Pure Administrator
      Date Deposited: 20 Jun 2011 11:49
      Last modified: 28 Jul 2013 10:48
      URI: http://strathprints.strath.ac.uk/id/eprint/29416

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