CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
MLRank: Multi-correlation Learning to Rank for image annotation
Li, Zechao; Liu, Jing; Xu, Changsheng; Lu, Hanqing
Source PublicationPATTERN RECOGNITION
2013-10-01
Volume46Issue:10Pages:2700-2710
SubtypeArticle
AbstractIn 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.
KeywordImage Annotation Learning To Rank Multi-correlation Image-bias Consistency Tag-bias Consistency
WOS HeadingsScience & Technology ; Technology
WOS KeywordVIDEO ANNOTATION ; RECOGNITION ; RETRIEVAL ; OBJECT
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000320477400008
Citation statistics
Cited Times:24[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3371
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
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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