Extracting semantics and content adaptive summarisation for effective video retrieval

Jinchang Ren, J. Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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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;
Original languageEnglish
Title of host publicationProceedings of EU NEM Summit
Subtitle of host publicationTowards Future Media Internet
Pages1-11
Number of pages11
Publication statusPublished - 2009

Fingerprint

Information retrieval
Semantics

Keywords

  • semantics
  • media
  • internet
  • content-based information retrieval
  • CBIR

Cite this

Ren, J., & Jiang , J. (2009). Extracting semantics and content adaptive summarisation for effective video retrieval. In Proceedings of EU NEM Summit: Towards Future Media Internet (pp. 1-11)
Ren, Jinchang ; Jiang , J. / Extracting semantics and content adaptive summarisation for effective video retrieval. Proceedings of EU NEM Summit: Towards Future Media Internet. 2009. pp. 1-11
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Ren, J & Jiang , J 2009, Extracting semantics and content adaptive summarisation for effective video retrieval. in Proceedings of EU NEM Summit: Towards Future Media Internet. pp. 1-11.

Extracting semantics and content adaptive summarisation for effective video retrieval. / Ren, Jinchang; Jiang , J.

Proceedings of EU NEM Summit: Towards Future Media Internet. 2009. p. 1-11.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Ren J, Jiang J. Extracting semantics and content adaptive summarisation for effective video retrieval. In Proceedings of EU NEM Summit: Towards Future Media Internet. 2009. p. 1-11