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Region similarity arrangement for large-scale image retrieval

文献类型：期刊论文

作者Zhang, Dongming2,3,4; Tang, Jingya2,3; Jin, Guoqing2,3; Zhang, Yongdong2,3; Tian, Qi1
刊名NEUROCOMPUTING
出版日期2018-01-10
卷号272页码:461-470
关键词Content based image retrieval Geometric verification Region property space Spatial weighting
ISSN号0925-2312
DOI10.1016/j.neucom.2017.07.025
英文摘要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.
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
语种英语
WOS记录号WOS:000413821400048
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/6549]  
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.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX USA
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
3.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
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.

入库方式： OAI收割

来源：计算技术研究所

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