Image Tag Refinement With View-Dependent Concept Representations
Fu, Jianlong1; Wang, Jinqiao1; Rui, Yong2; Wang, Xin-Jing2; Mei, Tao2; Lu, Hanqing1
2015-08-01
发表期刊IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
卷号25期号:8页码:1409-1422
文章类型Article
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.
关键词Concept Representations Image Tag Refinement Image Tagging
WOS标题词Science & Technology ; Technology
关键词[WOS]SEARCH ; RETRIEVAL ; RELEVANCE
收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000359213400012
引用统计
被引频次:9[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/173211/8892
专题模式识别国家重点实验室_图像与视频分析
通讯作者Wang, Jinqiao
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.
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