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. In: Proceedings of EU NEM Summit. UNSPECIFIED, pp. 1-11.

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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;

    Creators(s): Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194 and Jiang, J.;
    Item type:Book Section
    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
    Depositing user: Pure Administrator
    Date deposited:20 Jun 2011 10:49
    Last modified:15 Jan 2021 02:44
    URI:https://strathprints.strath.ac.uk/id/eprint/29416
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