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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
会议名称Multimedia (ISM), 2016 IEEE International Symposium on
会议日期11-13 Dec
会议地点San Jose, CA, USA
摘要Hashing 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.
关键词Cross-modal Hashing
DOI10.1109/ISM.2016.0017
收录类别EI
引用统计
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/20126
专题智能感知与计算研究中心
通讯作者Liang, Jian
作者单位1.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
推荐引用方式
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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