中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
MLRank: Multi-correlation Learning to Rank for image annotation

文献类型:期刊论文

作者Li, Zechao; Liu, Jing; Xu, Changsheng; Lu, Hanqing
刊名PATTERN RECOGNITION
出版日期2013-10-01
卷号46期号:10页码:2700-2710
关键词Image annotation Learning to rank Multi-correlation Image-bias consistency Tag-bias consistency
英文摘要In this paper, we formulate image annotation as a Multi-correlation Learning to Rank (MLRank) problem, i.e., ranking the relevance of tags to an image considering the visual similarity and the semantic relevance. Unlike typical learning to rank algorithms, which assume that the ranking objects are independent, we attempt to rank relational data by exploring the consistency between "visual similarity" and "semantic relevance". The consistency means that similar images are usually annotated with relevant tags to reflect similar semantic themes, and vice versa. We define the two cases as the image-bias consistency and the tag-bias consistency respectively, which are both formulated into the optimization problem for rank learning. To obtain an explicit solution of the ranking model, we relax the optimization problem in two manners by attaching the constraints corresponding to the image-bias and tag-bias consistency with different sequential orders respectively, which lead to a uniform ranking model. Experimental results show that the proposed MLRank method outperforms the state-of-the-arts on three benchmarks including Corel5K, IAPR TC12 and NUS-WIDE. (C) 2013 Elsevier Ltd. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]VIDEO ANNOTATION ; RECOGNITION ; RETRIEVAL ; OBJECT
收录类别SCI
语种英语
WOS记录号WOS:000320477400008
源URL[http://ir.ia.ac.cn/handle/173211/3371]  
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
Li, Zechao,Liu, Jing,Xu, Changsheng,et al. MLRank: Multi-correlation Learning to Rank for image annotation[J]. PATTERN RECOGNITION,2013,46(10):2700-2710.
APA Li, Zechao,Liu, Jing,Xu, Changsheng,&Lu, Hanqing.(2013).MLRank: Multi-correlation Learning to Rank for image annotation.PATTERN RECOGNITION,46(10),2700-2710.
MLA Li, Zechao,et al."MLRank: Multi-correlation Learning to Rank for image annotation".PATTERN RECOGNITION 46.10(2013):2700-2710.

入库方式: OAI收割

来源:自动化研究所

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