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Mixed ranking scheme for video retrieval

Feng, Y, Ren, J and Jiang, J (2010) Mixed ranking scheme for video retrieval Electronics Letters, 46 (24). pp. 1600-1601.

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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.

Item Type: Article
Authors :
NameEmailORCID
Feng, YUNSPECIFIEDUNSPECIFIED
Ren, JUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Date : 2010
Identification Number : https://doi.org/10.1049/el.2010.8621
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:25
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835292

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