Hashing with dual complementary projection learning for fast image retrieval

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 图像与视频分析团队

	Hashing with dual complementary projection learning for fast image retrieval
	Li, Peng; Cheng, Jian; Lu, Hanqing
刊名	NEUROCOMPUTING
	2013-11-23
卷号	120 页码:83-89
关键词	Hashing Complementary projection learning Binary codes Fast image retrieval
英文摘要	Due to explosive growth of visual content on the web, there is an emerging need of fast similarity search to efficiently exploit such enormous web contents from very large databases. Recently, hashing has become very popular for efficient nearest neighbor search in large scale applications. However, many traditional hashing methods learn the binary codes in a single shot or only employ a single hash table, thus they usually cannot achieve both high precision and recall simultaneously. In this paper, we propose a novel dual complementary hashing (DCH) approach to learn the codes with multiple hash tables. In our method, not only the projection for each bit inside a hash table has the property of error-correcting but also the different hash tables complement each other. Therefore, the binary codes learned by our approach are more powerful for fast similarity search. Extensive experiments on publicly available datasets demonstrate the effectiveness of our approach. (c) 2013 Elsevier B.V. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	APPROXIMATE NEAREST-NEIGHBOR ; ALGORITHM ; DIMENSIONS
收录类别	SCI
语种	英语
WOS记录号	WOS:000324847100010
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3366]
专题	自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Peng,Cheng, Jian,Lu, Hanqing. Hashing with dual complementary projection learning for fast image retrieval[J]. NEUROCOMPUTING,2013,120:83-89.
APA	Li, Peng,Cheng, Jian,&Lu, Hanqing.(2013).Hashing with dual complementary projection learning for fast image retrieval.NEUROCOMPUTING,120,83-89.
MLA	Li, Peng,et al."Hashing with dual complementary projection learning for fast image retrieval".NEUROCOMPUTING 120(2013):83-89.