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题名Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing
作者
发表日期2018-11-01
发表期刊Multimedia Tools and Applications
ISSN/eISSN1380-7501
卷号77期号:21页码:28665-28683
摘要

Cross-modal retrieval has recently drawn much attention in multimedia analysis, and it is still a challenging topic mainly attributes to its heterogeneous nature. In this paper, we propose a flexible supervised collective matrix factorization hashing (FS-CMFH) to efficient cross-modal retrieval. First, we exploit a flexible collective matrix factorization framework to jointly learn the individual latent space of similar semantic with respected to each modality. Meanwhile, the label consistency across different modalities is simultaneously exploited to preserve both intra-modal and inter-modal semantics within these similar latent semantic spaces. Accordingly, these two ingredients are formulated as a joint graph regularization term in an overall objective function, through which the similar hash codes of different modalities in an instance can be discriminatively obtained to flexibly characterize such instance. As a result, these derived hash codes incorporating higher discrimination power are able to improve the cross-modal searching accuracy significantly. The extensive experiments tested on three popular benchmark datasets show that the proposed approach performs favorably compared to the state-of-the-art competing approaches.

关键词Cross-modal retrieval Flexible collective matrix factorization Joint graph regularization Latent semantic space
DOI10.1007/s11042-018-6006-5
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收录类别SCIE
语种英语English
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000446601500036
Scopus入藏号2-s2.0-85054192046
引用统计
被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/13066
专题个人在本单位外知识产出
理工科技学院
通讯作者Liu, Xin
作者单位
1.Department of Computer Science and Technology,Huaqiao University,Xiamen,Jimei Road, No. 668, Jimei District,China
2.Key Laboratory of Pattern Recognition and Computer Vision,Xiamen,Jimei Road, No. 668, Jimei District,China
推荐引用方式
GB/T 7714
Liu, Xin,Li, An,Du, Jixianget al. Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing[J]. Multimedia Tools and Applications, 2018, 77(21): 28665-28683.
APA Liu, Xin, Li, An, Du, Jixiang, Peng, Shujuan, & Fan, Wentao. (2018). Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing. Multimedia Tools and Applications, 77(21), 28665-28683.
MLA Liu, Xin,et al."Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing". Multimedia Tools and Applications 77.21(2018): 28665-28683.
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