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;

ORCID iDs

Ren, Jinchang

and Jiang, J.;

Item metadata

Item type:	Book Section
ID code:	29416
Dates:	Date Event 2009 Published
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:	30 Mar 2021 01:11
URI:	https://strathprints.strath.ac.uk/id/eprint/29416

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