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

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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.