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Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection

文献类型：期刊论文

作者Hu, Weiming1,2; Fan, Yabo1,2; Xing, Junliang1,2; Sun, Liang3; Cai, Zhaoquan4; Maybank, Stephen5
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2018-09-01
卷号27期号:9页码:4452-4464
关键词Near duplicate image detection load-balanced locality-sensitive hashing deep constrained siamese neural network deep feature extraction
ISSN号1057-7149
DOI10.1109/TIP.2018.2839886
通讯作者Hu, Weiming(wmhu@nlpr.ia.ac.cn)
英文摘要We construct a new efficient near duplicate image detection method using a hierarchical hash code learning neural network and load-balanced locality-sensitive hashing (LSH) indexing. We propose a deep constrained siamese hash coding neural network combined with deep feature learning. Our neural network is able to extract effective features for near duplicate image detection. The extracted features are used to construct a LSH-based index. We propose a load-balanced LSH method to produce load-balanced buckets in the hashing process. The load-balanced LSH significantly reduces the query time. Based on the proposed load-balanced LSH, we design an effective and feasible algorithm for near duplicate image detection. Extensive experiments on three benchmark data sets demonstrate the effectiveness of our deep siamese hash encoding network and load-balanced LSH.
WOS关键词RETRIEVAL
资助项目Beijing Natural Science Foundation[L172051] ; Natural Science Foundation of China[61751212] ; Natural Science Foundation of China[61472421] ; Natural Science Foundation of China[61721004] ; Natural Science Foundation of China[61772225] ; NSFC-General Technology Collaborative Fund for Basic Research[U1636218] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-JSC040] ; CAS External Cooperation Key Project
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000435518500002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Beijing Natural Science Foundation ; Natural Science Foundation of China ; NSFC-General Technology Collaborative Fund for Basic Research ; Key Research Program of Frontier Sciences, CAS ; CAS External Cooperation Key Project
源URL[http://ir.ia.ac.cn/handle/173211/21816]  
专题自动化研究所_模式识别国家重点实验室_视频内容安全团队
通讯作者Hu, Weiming
作者单位1.Chinese Acad Sci, Natl Lab Pattern Recognit, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei 230026, Anhui, Peoples R China
4.Huizhou Univ, Dept Informat Sci & Technol, Huizhou 516007, Peoples R China
5.Univ London, Birkbeck Coll, Dept Comp Sci & Informat Syst, London WC1E 7HX, England
推荐引用方式
GB/T 7714		 Hu, Weiming,Fan, Yabo,Xing, Junliang,et al. Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2018,27(9):4452-4464.
APA Hu, Weiming,Fan, Yabo,Xing, Junliang,Sun, Liang,Cai, Zhaoquan,&Maybank, Stephen.(2018).Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection.IEEE TRANSACTIONS ON IMAGE PROCESSING,27(9),4452-4464.
MLA Hu, Weiming,et al."Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection".IEEE TRANSACTIONS ON IMAGE PROCESSING 27.9(2018):4452-4464.

入库方式： OAI收割

来源：自动化研究所

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