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Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

文献类型：期刊论文

作者Gao, Yue1; Wang, Meng2; Zha, Zheng-Jun3; Shen, Jialie4; Li, Xuelong5; Wu, Xindong6,7
刊名ieee transactions on image processing
出版日期2013
卷号22期号:1页码:363-376
关键词Hypergraph learning social image search tag visual-textual
英文摘要due to the popularity of social media websites, extensive research efforts have been dedicated to tag-based social image search. both visual information and tags have been investigated in the research field. however, most existing methods use tags and visual characteristics either separately or sequentially in order to estimate the relevance of images. in this paper, we propose an approach that simultaneously utilizes both visual and textual information to estimate the relevance of user tagged images. the relevance estimation is determined with a hypergraph learning approach. in this method, a social image hypergraph is constructed, where vertices represent images and hyperedges represent visual or textual terms. learning is achieved with use of a set of pseudo-positive images, where the weights of hyperedges are updated throughout the learning process. in this way, the impact of different tags and visual words can be automatically modulated. comparative results of the experiments conducted on a dataset including 370+ images are presented, which demonstrate the effectiveness of the proposed approach.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]computer science ; engineering
关键词[WOS]hyper-graphs ; retrieval ; recognition ; features
收录类别SCI ; EI
语种英语
WOS记录号WOS:000312892000029
公开日期2015-06-30
源URL[http://ir.opt.ac.cn/handle/181661/23196]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
2.Hefei Univ Technol, Comp Sci & Informat Engn Dept, Hefei 230009, Peoples R China
3.Natl Univ Singapore, Sch Comp, Singapore 117417, Singapore
4.Singapore Management Univ, Sch Informat Syst, Singapore 178902, Singapore
5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Beijing 100864, Peoples R China
6.Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230009, Peoples R China
7.Univ Vermont, Dept Comp Sci, Burlington, VT 05405 USA
推荐引用方式
GB/T 7714		 Gao, Yue,Wang, Meng,Zha, Zheng-Jun,et al. Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search[J]. ieee transactions on image processing,2013,22(1):363-376.
APA Gao, Yue,Wang, Meng,Zha, Zheng-Jun,Shen, Jialie,Li, Xuelong,&Wu, Xindong.(2013).Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search.ieee transactions on image processing,22(1),363-376.
MLA Gao, Yue,et al."Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search".ieee transactions on image processing 22.1(2013):363-376.

入库方式： OAI收割

来源：西安光学精密机械研究所

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