CASIA OpenIR  > 智能感知与计算研究中心
Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval
Dekui Ma1; Jian Liang2,3; Xiangwei Kong1; Ran He(赫然)2,3,4; Ying Li1; Liang, Jian
2016
Conference NameMultimedia (ISM), 2016 IEEE International Symposium on
Conference Date11-13 Dec
Conference PlaceSan Jose, CA, USA
AbstractHashing techniques have been widely adopted for cross-modal retrieval due to its low storage cost and fast query speed. Most existing cross-modal hashing methods aim to map heterogeneous data into the common low-dimensional hamming space and then threshold to obtain binary codes by relaxing the discrete constraint. However, this independent relaxation step also brings quantization errors, resulting in poor retrieval performances. Other cross-modal hashing methods try to directly optimize the challenging objective function with discrete binary constraints. Inspired by [1], we propose a novel supervised cross-modal hashing method called Discrete Cross-Modal Hashing (DCMH) to learn the discrete binary codes without relaxing them. DCMH is formulated through reconstructing the semantic similarity matrix and learning binary codes as ideal features for classification. Furthermore, DCMH alternately updates binary codes of each modality, and iteratively learns the discrete hashing codes bit by bit efficiently, which is quite promising for large-scale datasets. Extensive empirical results on three real-world datasets show that DCMH outperforms the baseline approaches significantly.
KeywordCross-modal Hashing
DOI10.1109/ISM.2016.0017
Indexed ByEI
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20126
Collection智能感知与计算研究中心
Corresponding AuthorLiang, Jian
Affiliation1.School of Information and Communication Engineering, Dalian University of Technology, China
2.Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences (CAS), China
3.University of Chinese Academy of Sciences, Beijing, China
4.CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China
Recommended Citation
GB/T 7714
Dekui Ma,Jian Liang,Xiangwei Kong,et al. Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval[C],2016.
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