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;
Author(s): | Ren, Jinchang ![]() | Item type: | Book Section |
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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: | 13 Nov 2019 10:44 |
URI: | https://strathprints.strath.ac.uk/id/eprint/29416 |
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