Region similarity arrangement for large-scale image retrieval

doi:10.1016/j.neucom.2017.07.025

	Region similarity arrangement for large-scale image retrieval
	Zhang, Dongming 1,2,4; Tang, Jingya 1,2; Jin, Guoqing 1,2; Zhang, Yongdong 1,2; Tian, Qi 3
	2018-01-10
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	272 页码:461-470
摘要	We propose a promising method of geometric verification to improve the precision of Bag-of-Words (BoW) model in image retrieval. Most previous methods focus on the positions of interest points or the absolute differences of regions' scales and angles. In contrast, our method, named Region Similarity Arrangement (RSA), exploits the spatial arrangement of interest regions. For each image, RSA constructs a Region Property Space, regarding each region's (scale, angle) pair as a point in a polar coordinate system, and encodes the arrangement of these points into the BoW vector. Furthermore, based on the particular distribution of points in Region Property Space, we design a Spatial Weighting to reduce the burstiness phenomenon during query. From experimental results on Holidays, Oxford5K and Paris, RSA could get comparable results with state-of-the-art methods. In addition, RSA increases no extra memory and negligible computational consumption compared with the baseline BoW approach. (C) 2017 Published by Elsevier B.V.
关键词	Content based image retrieval Geometric verification Region property space Spatial weighting
DOI	10.1016/j.neucom.2017.07.025
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2016YFB0801203] ; National Key Research and Development Program of China[2016YFB0801200] ; National Natural Science Foundation of China[61672495] ; National Natural Science Foundation of China[61273247] ; National Natural Science Foundation of China[61303159] ; National Natural Science Foundation of China[61271428]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000413821400048
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/6550
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tang, Jingya
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 3.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX USA 4.Coordinat Ctr China, Emergency Response Tech Team, Natl Comp Network, Nanjing, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Dongming,Tang, Jingya,Jin, Guoqing,et al. Region similarity arrangement for large-scale image retrieval[J]. NEUROCOMPUTING,2018,272:461-470.
APA	Zhang, Dongming,Tang, Jingya,Jin, Guoqing,Zhang, Yongdong,&Tian, Qi.(2018).Region similarity arrangement for large-scale image retrieval.NEUROCOMPUTING,272,461-470.
MLA	Zhang, Dongming,et al."Region similarity arrangement for large-scale image retrieval".NEUROCOMPUTING 272(2018):461-470.