Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud

doi:10.1109/TMM.2013.2238909

OPT OpenIR > 光谱成像技术研究室

	Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud
	Tao, Dapeng 1; Jin, Lianwen 1; Liu, Weifeng 2; Li, Xuelong3
作者部门	光学影像学习与分析中心
	2013-06-01
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
卷号	15 期号:4 页码:833-844
产权排序	3
摘要	With the rapid development of the cloud computing and mobile service, users expect a better experience through multimedia computing, such as automatic or semi-automatic personal image and video organization and intelligent user interface. These functions heavily depend on the success of image understanding, and thus large-scale image annotation has received intensive attention in recent years. The collaboration between mobile and cloud opens a new avenue for image annotation, because the heavy computation can be transferred to the cloud for immediately responding user actions. In this paper, we present a scheme for image annotation on the cloud, which transmits mobile images compressed by Hamming compressed sensing to the cloud and conducts semantic annotation through a novel Hessian regularized support vector machine on the cloud. We carefully explained the rationality of Hessian regularization for encoding the local geometry of the compact support of the marginal distribution and proved that Hessian regularized support vector machine in the reproducing kernel Hilbert space is equivalent to conduct Hessian regularized support vector machine in the space spanned by the principal components of the kernel principal component analysis. We conducted experiments on the PASCAL VOC'07 dataset and demonstrated the effectiveness of Hessian regularized support vector machine for large-scale image annotation.
文章类型	Article
关键词	Cloud Computing Hessian Eigenmaps And Support Vector Machines Manifold Regularization Mobile Service
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TMM.2013.2238909
收录类别	SCI ; EI
关键词[WOS]	NONLINEAR DIMENSIONALITY REDUCTION ; RELEVANCE-FEEDBACK ; MANIFOLD REGULARIZATION ; DISCRIMINANT-ANALYSIS ; GEOMETRIC FRAMEWORK ; VISUAL-SEARCH ; RETRIEVAL ; RECOGNITION ; SUBSPACE ; PRESERVATION
语种	英语
WOS研究方向	Computer Science ; Telecommunications
项目资助者	National Basic Research Program of China (973 Program)(2012CB316400) ; National Natural Science Foundation of China(61075021 ; Guangdong Natural Science Funds(S2011020000541) ; Guangdong Scientific and Technology Research Plan(2012A010701001 ; Fundamental Research Funds for the Central Universities of China ; South China University of Technology(2012ZP0002) ; Natural Science Foundation for Youths of Shandong Province, China(ZR2011FQ016) ; 61271407 ; 2011B090400146) ; 61125106 ; 91120302)
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:000319228500012
引用统计	被引频次：98[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/23189
专题	光谱成像技术研究室
作者单位	1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China 2.China Univ Petr, Coll Informat & Control Engn, Dongying, Peoples R China 3.Chinese Acad Sci, Ctr Opt IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Tao, Dapeng,Jin, Lianwen,Liu, Weifeng,et al. Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2013,15(4):833-844.
APA	Tao, Dapeng,Jin, Lianwen,Liu, Weifeng,&Li, Xuelong.(2013).Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud.IEEE TRANSACTIONS ON MULTIMEDIA,15(4),833-844.
MLA	Tao, Dapeng,et al."Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud".IEEE TRANSACTIONS ON MULTIMEDIA 15.4(2013):833-844.

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