Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud
文献类型：期刊论文
| 作者 | Tao, Dapeng1; Jin, Lianwen1; Liu, Weifeng2; Li, Xuelong3
|
| 刊名 | ieee transactions on multimedia
 |
| 出版日期 | 2013-06-01 |
| 卷号 | 15期号:4页码:833-844 |
| 关键词 | Cloud computing Hessian Eigenmaps and support vector machines manifold regularization mobile service |
| ISSN号 | 1520-9210 |
| 产权排序 | 3 |
| 英文摘要 | 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. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, information systems ; computer science, software engineering ; telecommunications |
| 研究领域[WOS] | computer science ; telecommunications |
| 关键词[WOS] | nonlinear dimensionality reduction ; relevance-feedback ; manifold regularization ; discriminant-analysis ; geometric framework ; visual-search ; retrieval ; recognition ; subspace ; preservation |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000319228500012 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/23189]  |
| 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.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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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