CASIA OpenIR  > 09年以前成果
A graph-based image annotation framework
Liu, Jing1; Wang, Bin2; Lu, Hanqing1; Ma, Songde1
2008-03-01
发表期刊PATTERN RECOGNITION LETTERS
卷号29期号:4页码:407-415
文章类型Article
摘要Automatic image annotation is crucial for keyword-based image retrieval because it can be used to improve the textual description of images. In this paper, we propose a unified framework for image annotation, which contains two kinds of learning processes and incorporates three kinds of relations among images and keywords. In addition, we propose some improvements on its components, i.e. a reinforced image-to-image relation; a combined word-to-word relation; and a progressive learning method. Experiments on the Corel dataset demonstrate their effectiveness. We also show that many existing image annotation algorithms can be formulated into this framework and present an experimental comparison among these algorithms to evaluate their performance comprehensively. (c) 2007 Elsevier B.V. All rights reserved.
关键词Image Annotation Annotation Refinement Graph Learning Image Relation Word Relation
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000253518900003
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9661
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
2.Univ Sci & Technol China, Hefei 230027, Peoples R China
推荐引用方式
GB/T 7714
Liu, Jing,Wang, Bin,Lu, Hanqing,et al. A graph-based image annotation framework[J]. PATTERN RECOGNITION LETTERS,2008,29(4):407-415.
APA Liu, Jing,Wang, Bin,Lu, Hanqing,&Ma, Songde.(2008).A graph-based image annotation framework.PATTERN RECOGNITION LETTERS,29(4),407-415.
MLA Liu, Jing,et al."A graph-based image annotation framework".PATTERN RECOGNITION LETTERS 29.4(2008):407-415.
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