Correlation consistency constrained probabilistic matrix factorization for social tag refinement

	Correlation consistency constrained probabilistic matrix factorization for social tag refinement
	Liu, Jing; Zhang, Yifan; Li, Zechao; Lu, Hanqing
发表期刊	NEUROCOMPUTING
	2013-11-07
期号	119 页码:3-9
文章类型	Article
摘要	With 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.
关键词	Matrix Factorization Correlation Consistency Tag Refinement Social Image
WOS标题词	Science & Technology ; Technology
关键词[WOS]	VIDEO ANNOTATION ; IMAGE
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000323851800002
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3368
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 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.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Correlation consiste（1348KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载