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 ORCID: https://orcid.org/0000-0001-6116-3194

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• Item metadata

  Item type:	Book Section
  ID code:	29416
  Dates:	Date Event 2009 Published
  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:	14 Dec 2024 01:01
  URI:	https://strathprints.strath.ac.uk/id/eprint/29416