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Image auto-annotation via tag-dependent random search over range-constrained visual neighbours

文献类型：期刊论文

作者Lin, Zijia2; Ding, Guiguang3; Hu, Mingqing1
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期2015-06-01
卷号74期号:11页码:4091-4116
关键词Image auto-annotation TagSearcher Tag-dependent random search Range-constrained visual neighbours
ISSN号1380-7501
DOI10.1007/s11042-013-1811-3
英文摘要The quantity setting of visual neighbours can be critical for the performance of many previously proposed visual-neighbour-based (VNB) image auto-annotation methods. And in those methods, each candidate tag of a to-be-annotated image would be better to have its own trustworthy part of visual neighbours for score prediction. Hence in this paper we propose to use a constrained range rather than an identical and fixed number of visual neighbours for VNB methods to allow more flexible choices of neighbours, and then put forward a novel tag-dependent random search process to estimate the tag-dependent trust degrees of visual neighbours for each candidate tag. We further propose an effective image auto-annotation method termed TagSearcher based on a widely-used conditional probability model for auto-annotation, considering image-dependent weights of visual neighbours, tag-dependent trust degrees of visual neighbours and votes for a candidate tag from visual neighbours. Extensive experiments conducted on both a benchmark dataset and real-world web images present that the proposed TagSearcher can yield inspiring annotation performance and also reduce the performance sensitivity to the quantity setting of visual neighbours.
资助项目National Basic Research Project of China[2011CB707000] ; National Natural Science Foundation of China[61271394] ; National Natural Science Foundation of China[61005045]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000354898800022
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/9681]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Lin, Zijia
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
3.Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714		 Lin, Zijia,Ding, Guiguang,Hu, Mingqing. Image auto-annotation via tag-dependent random search over range-constrained visual neighbours[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2015,74(11):4091-4116.
APA Lin, Zijia,Ding, Guiguang,&Hu, Mingqing.(2015).Image auto-annotation via tag-dependent random search over range-constrained visual neighbours.MULTIMEDIA TOOLS AND APPLICATIONS,74(11),4091-4116.
MLA Lin, Zijia,et al."Image auto-annotation via tag-dependent random search over range-constrained visual neighbours".MULTIMEDIA TOOLS AND APPLICATIONS 74.11(2015):4091-4116.

入库方式： OAI收割

来源：计算技术研究所

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