发表状态 | 已发表Published |
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
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ISSN/eISSN | 1380-7501 |
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 |
DOI | 10.1007/s11042-018-6006-5 |
URL | 查看来源 |
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 | |
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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