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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. 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;

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: 27 Mar 2015 08:03
URI: http://strathprints.strath.ac.uk/id/eprint/29416

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