University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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.

Full text not available from this repository.


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 :
Feng, Y
Ren, J
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

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800