Generic framework for content-based stereo image/video retrieval

Y. Feng; Jinchang Ren; J. Jiang

doi:10.1049/el.2010.3267

Generic framework for content-based stereo image/video retrieval

Y. Feng, Jinchang Ren, J. Jiang

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

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.

Original language	English
Pages (from-to)	97-98
Number of pages	2
Journal	Electronics Letters
Volume	47
Issue number	2
DOIs	https://doi.org/10.1049/el.2010.3267
Publication status	Published - Jan 2011

Keywords

content addressable storage
content based retrieval
image retrieval
stereo image processing
stereo media

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10.1049/el.2010.3267

Cite this

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title = "Generic framework for content-based stereo image/video retrieval",

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.",

keywords = "content addressable storage, content based retrieval, image retrieval , stereo image processing , stereo media ",

author = "Y. Feng and Jinchang Ren and J. Jiang",

note = "Selected and republished by IET in {"}The Best of IET and IBC{"} vol. 3, 2011, pp. 55-57",

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AU - Ren, Jinchang

AU - Jiang, J.

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PY - 2011/1

Y1 - 2011/1

N2 - 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.

AB - 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.

KW - content addressable storage

KW - content based retrieval

KW - image retrieval

KW - stereo image processing

KW - stereo media

UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5699994&tag=1

U2 - 10.1049/el.2010.3267

DO - 10.1049/el.2010.3267

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JO - Electronics Letters

JF - Electronics Letters

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ER -

Generic framework for content-based stereo image/video retrieval

Abstract

Keywords

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