CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Multiview Label Sharing for Visual Representations and Classifications
Zhang, Chunjie1,2; Cheng, Jian2,3,4; Tian, Qi5
Source PublicationIEEE TRANSACTIONS ON MULTIMEDIA
2018-04-01
Volume20Issue:4Pages:903-913
SubtypeArticle
AbstractDifferent views represent different aspects of images. It is more effective to combine them for visual classifications. This paper proposes a novel multiview label sharing method to combine the discriminative power of different views for classifications. Especially, we linearly transfer different views into a shared space for representations. The inter-view similarities are kept in the shared space for each view. We also ensure the intra-view similarities of the same class between different views are preserved in the shared space. We jointly learn the classifiers and transformation matrices by minimizing the summed classification loss along with the inter-view and intra-view similarity constraints. In this paper, the inter-view constraints refer to the similarities between images of the corresponding view, whereas the intra-view constraints refer to the similarities between different views of images with the same semantics. Experimental results and analysis on several public datasets show the effectiveness of the proposed multiview label sharing method for visual classifications.
KeywordMulti-view Learning Linear Transformation Shared Space Image Representation Visual Classification
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TMM.2017.2759500
WOS KeywordIMAGE CLASSIFICATION ; LOW-RANK ; SPARSE DECOMPOSITION
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61303154 ; Scientific Research Key Program of Beijing Municipal Commission of Education(KZ201610005012) ; ARO Grant(W911NF-15-1-0290) ; NEC Laboratories of America ; Blippar ; National Science Foundation of China(61429201) ; 61332016)
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000427623000011
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21991
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China
5.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
Recommended Citation
GB/T 7714
Zhang, Chunjie,Cheng, Jian,Tian, Qi. Multiview Label Sharing for Visual Representations and Classifications[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2018,20(4):903-913.
APA Zhang, Chunjie,Cheng, Jian,&Tian, Qi.(2018).Multiview Label Sharing for Visual Representations and Classifications.IEEE TRANSACTIONS ON MULTIMEDIA,20(4),903-913.
MLA Zhang, Chunjie,et al."Multiview Label Sharing for Visual Representations and Classifications".IEEE TRANSACTIONS ON MULTIMEDIA 20.4(2018):903-913.
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