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Relevance Preserving Projection and Ranking for Web Image Search Reranking

文献类型：期刊论文

作者Ji, Zhong1; Pang, Yanwei1; Li, Xuelong2
刊名ieee transactions on image processing
出版日期2015-11-01
卷号24期号:11页码:4137-4147
关键词Multimedia information system multimedia ranking feature embedding one-class classification image search reranking
英文摘要an image search reranking (isr) technique aims at refining text-based search results by mining images' visual content. feature extraction and ranking function design are two key steps in isr. inspired by the idea of hypersphere in one-class classification, this paper proposes a feature extraction algorithm named hypersphere-based relevance preserving projection (hrpp) and a ranking function called hypersphere-based rank (h-rank). specifically, an hrpp is a spectral embedding algorithm to transform an original high-dimensional feature space into an intrinsically low-dimensional hypersphere space by preserving the manifold structure and a relevance relationship among the images. an h-rank is a simple but effective ranking algorithm to sort the images by their distances to the hypersphere center. moreover, to capture the user's intent with minimum human interaction, a reversed k-nearest neighbor (knn) algorithm is proposed, which harvests enough pseudorelevant images by requiring that the user gives only one click on the initially searched images. the hrpp method with reversed knn is named one-click-based hrpp (oc-hrpp). finally, an oc-hrpp algorithm and the h-rank algorithm form a new isr method, h-reranking. extensive experimental results on three large real-world data sets show that the proposed algorithms are effective. moreover, the fact that only one relevant image is required to be labeled makes it has a strong practical significance.
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]one-class svm ; retrieval ; recognition ; prediction ; feedback
收录类别SCI ; EI
语种英语
WOS记录号WOS:000359563500010
公开日期2015-09-15
源URL[http://ir.opt.ac.cn/handle/181661/25285]  
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.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Ji, Zhong,Pang, Yanwei,Li, Xuelong. Relevance Preserving Projection and Ranking for Web Image Search Reranking[J]. ieee transactions on image processing,2015,24(11):4137-4147.
APA Ji, Zhong,Pang, Yanwei,&Li, Xuelong.(2015).Relevance Preserving Projection and Ranking for Web Image Search Reranking.ieee transactions on image processing,24(11),4137-4147.
MLA Ji, Zhong,et al."Relevance Preserving Projection and Ranking for Web Image Search Reranking".ieee transactions on image processing 24.11(2015):4137-4147.

入库方式： OAI收割

来源：西安光学精密机械研究所

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