Discrete Spectral Hashing for Efficient Similarity Retrieval
Hu, Di1; Nie, Feiping1; Li, Xuelong2
刊名IEEE Transactions on Image Processing
2019-03
卷号28期号:3
关键词Spectral Rotation Discrete Spectral Hashing
ISSN号10577149
DOI10.1109/TIP.2018.2875312
产权排序2
英文摘要

To meet the required huge data analysis, organization and storage demand, hashing technique has got a lot of attention as it aims to learn efficient binary representation from the original high-dimensional data. In this paper, we focus on the unsupervised spectral hashing due to its effective manifold embedding. Existing spectral hashing methods mainly suffer from two problems, i.e., the inefficient spectral candidate and intractable binary constraint for spectral analysis. To overcome these two problems, we propose to employ spectral rotation to seek better spectral solution and adopt the alternating projection algorithm to settle the complex code constraints, which are therefore named as Spectral Hashing with Spectral Rotation (SHSR) and Alternating Discrete Spectral Hashing (ADSH), respectively. To enjoy the merits of both methods, the spectral rotation technique is finally combined with the original spectral objective, which aims to simultaneously learn better spectral solution and more efficient discrete codes and is called as Discrete Spectral Hashing (DSH). Further, efficient optimization algorithms are also provided, which just take comparable time complexity to existing hashing methods. To evaluate the proposed three methods, extensive comparison experiments and studies are conducted on four large-scale datasets for the image retrieval task, and the noticeable performance beats several state-of-theart spectral hashing methods on different evaluation metrics. IEEE

语种英语
WOS记录号WOS:000448657400003
内容类型期刊论文
源URL[http://ir.opt.ac.cn/handle/181661/30679]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, P. R. China, 710072.;
2.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, P. R. China, 710119.
推荐引用方式
GB/T 7714
Hu, Di,Nie, Feiping,Li, Xuelong. Discrete Spectral Hashing for Efficient Similarity Retrieval[J]. IEEE Transactions on Image Processing,2019,28(3).
APA Hu, Di,Nie, Feiping,&Li, Xuelong.(2019).Discrete Spectral Hashing for Efficient Similarity Retrieval.IEEE Transactions on Image Processing,28(3).
MLA Hu, Di,et al."Discrete Spectral Hashing for Efficient Similarity Retrieval".IEEE Transactions on Image Processing 28.3(2019).
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