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

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search
	Gao, Yue 1; Wang, Meng 2; Zha, Zheng-Jun 3; Shen, Jialie 4; Li, Xuelong5 ; Wu, Xindong 6,7
刊名	ieee transactions on image processing
	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
内容类型	期刊论文
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.