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

页码：97 / +

页数：2

共 5 条

[1] [Anonymous], 2006, 2006 IEEE COMP SOC C
[2] [Anonymous], TRECVID2008 GOALS TA
[3] DISPARITY ANALYSIS OF IMAGES
BARNARD, ST
THOMPSON, WB
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1980, 2 (04) : 333 - 340
[4] Feng Y, 2010, LECT NOTES COMPUT SC, V5916, P731, DOI 10.1007/978-3-642-11301-7_77
[5] Content-based image retrieval based on a fuzzy approach
Krishnapuram, R
Medasani, S
Jung, SH
Choi, YS
Balasubramaniam, R
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2004, 16 (10) : 1185 - 1199

← 1 →