Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
| Cross-Modal Hashing via Rank-Order Preserving | |
Kun Ding1,2 ; Bin Fan1; Chunlei Huo1; Shiming Xiang1; Chunhong Pan1; Huo CL(霍春雷)
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| Source Publication | IEEE TRANSACTIONS ON MULTIMEDIA
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| 2017-03-01 | |
| Volume | 19Issue:3Pages:571-585 |
| Subtype | Article |
| Abstract | Due to the query effectiveness and efficiency, cross-modal similarity search based on hashing has acquired extensive attention in the multimedia community. Most existing methods do not explicitly employ the ranking information when learning hash functions, which is quite important for building practical retrieval systems. To solve this issue, this paper proposes a rank-order preserving hashing (RoPH) method with a novel regression-based rank-order preserving loss that has provable large margin property and is easy to optimize. Moreover, we jointly learn the binary codes and hash functions instead of using any relaxation trick. To solve the induced optimization problem, the alternating descent technique is adopted and each subproblem can be solved conveniently. Specifically, we show that the involved binary quadratic programming subproblem with respect to an introduced auxiliary binary variable satisfies submodularity, enabling us to use the off-the-shelf graph-cut algorithms to solve it exactly and efficiently. Extensive experiments on three benchmarks demonstrate that RoPH significantly improves the ranking quality over the state of the arts. |
| Keyword | Cross-modal Similarity Search Cross-modal Hashing (Cmh) Rank-order Preserving |
| WOS Headings | Science & Technology ; Technology |
| DOI | 10.1109/TMM.2016.2625747 |
| WOS Keyword | NEAREST-NEIGHBOR ; IMAGE SIMILARITY ; GRAPH CUTS ; CLASSIFICATION ; CODES ; MULTIMEDIA ; RETRIEVAL ; TREES |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National Natural Science Foundation of China(91646207 ; Strategic Priority Research Program of the CAS(XDB02060009) ; Beijing Natural Science Foundation(4142057) ; Priority Academic Program Development of Jiangsu Higher Education Institutions ; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology ; 61573352 ; 61672098 ; 91438105 |
| WOS Research Area | Computer Science ; Telecommunications |
| WOS Subject | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
| WOS ID | WOS:000395869400012 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/12324 |
| Collection | 模式识别国家重点实验室_先进数据分析与学习 |
| Corresponding Author | Huo CL(霍春雷) |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China |
| First Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Kun Ding,Bin Fan,Chunlei Huo,et al. Cross-Modal Hashing via Rank-Order Preserving[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2017,19(3):571-585. |
| APA | Kun Ding,Bin Fan,Chunlei Huo,Shiming Xiang,Chunhong Pan,&霍春雷.(2017).Cross-Modal Hashing via Rank-Order Preserving.IEEE TRANSACTIONS ON MULTIMEDIA,19(3),571-585. |
| MLA | Kun Ding,et al."Cross-Modal Hashing via Rank-Order Preserving".IEEE TRANSACTIONS ON MULTIMEDIA 19.3(2017):571-585. |
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| File Name/Size | DocType | Version | Access | License | ||
| Cross-Modal Hashing （1451KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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