Mixed ranking scheme for video retrieval

Feng, Y. and Ren, Jinchang and Jiang, J. (2010) Mixed ranking scheme for video retrieval. Electronics Letters, 46 (24). pp. 1600-1601. ISSN 0013-5194 (https://doi.org/10.1049/el.2010.8621)

Abstract

A unified ranking scheme for effective video retrieval is proposed, in which low-level visual feature terms and high-level image category features are combined organically to inspire effective retrieval in the manner of semantics. By taking these features as a joint fact of document relevance, the BM25 model, popular in text retrieval, is employed to determine a mixed similarity rank of video documents. Experiments using the well-known TRECVID retrieval dataset have validated the superiority of the methodology.

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• Item metadata

  Item type:	Article
  ID code:	29263
  Dates:	Date Event 25 November 2010 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	16 Mar 2011 10:32
  Last modified:	08 Apr 2024 18:53
  URI:	https://strathprints.strath.ac.uk/id/eprint/29263