Hashing with dual complementary projection learning for fast image retrieval

	Hashing with dual complementary projection learning for fast image retrieval
	Li, Peng; Cheng, Jian; Lu, Hanqing
发表期刊	NEUROCOMPUTING
	2013-11-23
卷号	120 页码:83-89
文章类型	Article
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.
关键词	Hashing Complementary Projection Learning Binary Codes Fast Image Retrieval
WOS标题词	Science & Technology ; Technology
关键词[WOS]	APPROXIMATE NEAREST-NEIGHBOR ; ALGORITHM ; DIMENSIONS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000324847100010
引用统计	被引频次：28[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3366
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
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.