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Image Tag Refinement With View-Dependent Concept Representations

文献类型：期刊论文

作者Fu, Jianlong1; Wang, Jinqiao1; Rui, Yong2; Wang, Xin-Jing2; Mei, Tao2; Lu, Hanqing1
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
出版日期2015-08-01
卷号25期号:8页码:1409-1422
关键词Concept representations image tag refinement image tagging
英文摘要Image tag refinement is the task of refining initial tags of an image such that the refined tags can better reflect the content of the image and, therefore, can help users better access that image. The quality of tag refinement depends on the quality of concept representations that build a mapping from concepts to visual images. While good progress was made in the past decade on tag refinement, the previous approaches only achieved a limited success due to their limited concept representations. In this paper, we show that the visual appearances of a concept consist of both a generic view and a specific view, and therefore we can comprehensively represent a concept by two components. To ensure a clean concept representation, this representation is learned on clean click-through data, where noises are greatly reduced. In the framework, a coarse-to-fine image tag refinement is proposed, which: 1) first generates an efficient star graph to find candidate tags but missing in the initial tag list of an input image and 2) guided by this view-dependent concept representation, formulates a probabilistic objective function to eliminate irrelevant tags. Extensive experiments on two widely used standard data sets (MIRFlickr-25K and NUS-WIDE-270K) demonstrate the effectiveness of our approach.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Electrical & Electronic
研究领域[WOS]Engineering
关键词[WOS]SEARCH ; RETRIEVAL ; RELEVANCE
收录类别SCI
语种英语
WOS记录号WOS:000359213400012
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/8892]  
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1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Microsoft Res, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Fu, Jianlong,Wang, Jinqiao,Rui, Yong,et al. Image Tag Refinement With View-Dependent Concept Representations[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2015,25(8):1409-1422.
APA Fu, Jianlong,Wang, Jinqiao,Rui, Yong,Wang, Xin-Jing,Mei, Tao,&Lu, Hanqing.(2015).Image Tag Refinement With View-Dependent Concept Representations.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,25(8),1409-1422.
MLA Fu, Jianlong,et al."Image Tag Refinement With View-Dependent Concept Representations".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 25.8(2015):1409-1422.

入库方式： OAI收割

来源：自动化研究所

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