MLRank: Multi-correlation Learning to Rank for image annotation

	MLRank: Multi-correlation Learning to Rank for image annotation
	Li, Zechao; Liu, Jing; Xu, Changsheng; Lu, Hanqing
发表期刊	PATTERN RECOGNITION
	2013-10-01
卷号	46 期号:10 页码:2700-2710
文章类型	Article
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.
关键词	Image Annotation Learning To Rank Multi-correlation Image-bias Consistency Tag-bias Consistency
WOS标题词	Science & Technology ; Technology
关键词[WOS]	VIDEO ANNOTATION ; RECOGNITION ; RETRIEVAL ; OBJECT
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000320477400008
引用统计	被引频次：36[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/173211/3371
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	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.

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