Generic framework for content-based stereo image/video retrieval

Feng, Y. and Ren, Jinchang and Jiang, J. (2011) Generic framework for content-based stereo image/video retrieval. Electronics Letters, 47 (2). pp. 97-98. ISSN 0013-5194

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Official URL: https://doi.org/10.1049/el.2010.3267

Abstract

With the increasing number of stereo images/videos in commercial markets, the demand for content-based image retrieval (CBIR) to deal with stereo media becomes urgent. To meet this demand, a novel framework is proposed where depth cues are extracted from stereo pairs and employed in a re-ranking scheme to refine results from conventional CBIR. Experiments show the proposed method yields promising results in retrieving stereo content.

Author(s):	Feng, Y., Ren, Jinchang ORCID: https://orcid.org/0000-0001-6116-3194 and Jiang, J.
Item type:	Article
ID code:	29257
Notes:	Selected and republished by IET in "The Best of IET and IBC" vol. 3, 2011, pp. 55-57
Keywords:	content addressable storage, content based retrieval, image retrieval , stereo image processing , stereo media , Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
Department:	Faculty of Engineering > Electronic and Electrical Engineering
Depositing user:	Pure Administrator
Date deposited:	15 Mar 2011 11:55
Last modified:	12 Jul 2019 02:49
Related URLs:	Journal or Publication
URI:	https://strathprints.strath.ac.uk/id/eprint/29257
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