CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Correlation consistency constrained probabilistic matrix factorization for social tag refinement
Liu, Jing; Zhang, Yifan; Li, Zechao; Lu, Hanqing
Source PublicationNEUROCOMPUTING
2013-11-07
Issue119Pages:3-9
SubtypeArticle
AbstractWith the permeation of Web 2.0, large-scale user contributed images with tags are easily available on social websites. However, the noisy or incomplete correspondence between images and tags prohibit us from precise image retrieval and effective management. To tackle this, we propose a social tag refinement method, named as Correlation Consistency constrained Probabilistic Matrix Factorization (CCPMF), to jointly model the inter- and intra-correlations among images and tags, and further to precisely reconstruct the image-tag correlation as a result. For CCPMF, we attempt to derive two low-rank factors by conducting a joint factorization upon the image-tag correlation matrix. Besides, two types of correlation consistency, i.e., the image-bias correlation consistency (from image similarity to tag relevance) and the tag-bias correlation consistency (from tag relevance to image similarity), are formulated as constraints in the factorization process. Finally, each untagged or noisily tagged image can be retagged according to the reconstructed image-tag correlations with the both derived latent factors. Experimental results on the NUS-WIDE dataset show the encouraging performance of our proposed algorithm over the state-of-the-arts. (c) 2013 Elsevier B.V. All rights reserved.
KeywordMatrix Factorization Correlation Consistency Tag Refinement Social Image
WOS HeadingsScience & Technology ; Technology
WOS KeywordVIDEO ANNOTATION ; IMAGE
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000323851800002
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3368
Collection模式识别国家重点实验室_图像与视频分析
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Liu, Jing,Zhang, Yifan,Li, Zechao,et al. Correlation consistency constrained probabilistic matrix factorization for social tag refinement[J]. NEUROCOMPUTING,2013(119):3-9.
APA Liu, Jing,Zhang, Yifan,Li, Zechao,&Lu, Hanqing.(2013).Correlation consistency constrained probabilistic matrix factorization for social tag refinement.NEUROCOMPUTING(119),3-9.
MLA Liu, Jing,et al."Correlation consistency constrained probabilistic matrix factorization for social tag refinement".NEUROCOMPUTING .119(2013):3-9.
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