Correlation consistency constrained probabilistic matrix factorization for social tag refinement
文献类型：期刊论文
| 作者 | Liu, Jing ; Zhang, Yifan; Li, Zechao; Lu, Hanging; Lu, Hanqing
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2013-11-07 |
| 卷号 | 119页码:3-9 |
| 关键词 | Matrix factorization Correlation consistency Tag refinement Social image |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | VIDEO ANNOTATION ; IMAGE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000323851800002 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3368]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 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, Hanging,&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. |
入库方式： OAI收割
来源：自动化研究所
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