Generic framework for content-based stereo image/video retrieval

被引：17
|
作者：
Feng, Y. [1 ]
Ren, J. [2 ]
Jiang, J. [1 ]
机构：
[1] Univ Bradford, Sch Informat, Bradford BD7 1DP, W Yorkshire, England
[2] Univ Strathclyde, Ctr Excellence Signal & Image Proc, Glasgow G1 1XW, Lanark, Scotland
来源：
ELECTRONICS LETTERS | 2011年 / 47卷 / 02期
关键词：
D O I：
10.1049/el.2010.3267
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：97 / +
页数：2
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