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
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Feng, Y Ren, J Jiang, J jianmin.jiang@surrey.ac.uk
Date :	2010
DOI :	10.1049/el.2010.8621
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:25
Last Modified :	24 Jan 2020 22:13
URI:	http://epubs.surrey.ac.uk/id/eprint/835292

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