Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph Model
文献类型:期刊论文
作者 | Liu, Xueliang1; Wang, Meng1; Yin, Bao-Cai2; Huet, Benoit3; Li, Xuelong4![]() |
刊名 | ieee transactions on cybernetics
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出版日期 | 2015-11-01 |
卷号 | 45期号:11页码:2461-2471 |
关键词 | Event enrichment hypergraph transductive learning |
ISSN号 | 2168-2267 |
产权排序 | 4 |
英文摘要 | nowadays, with the continual development of digital capture technologies and social media services, a vast number of media documents are captured and shared online to help attendees record their experience during events. in this paper, we present a method combining semantic inference and multimodal analysis for automatically finding media content to illustrate events using an adaptive probabilistic hypergraph model. in this model, media items are taken as vertices in the weighted hypergraph and the task of enriching media to illustrate events is formulated as a ranking problem. in our method, each hyperedge is constructed using the k-nearest neighbors of a given media document. we also employ a probabilistic representation, which assigns each vertex to a hyperedge in a probabilistic way, to further exploit the correlation among media data. furthermore, we optimize the hypergraph weights in a regularization framework, which is solved as a second-order cone problem. the approach is initiated by seed media and then used to rank the media documents using a transductive inference process. the results obtained from validating the approach on an event dataset collected from eventmedia demonstrate the effectiveness of the proposed approach. |
WOS标题词 | science & technology ; technology |
类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
研究领域[WOS] | computer science |
关键词[WOS] | recognition ; features ; search ; system |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000363233000008 |
源URL | [http://ir.opt.ac.cn/handle/181661/25506] ![]() |
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.Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230009, Peoples R China 2.Beijing Univ Technol, Sch Transportat, Beijing 100124, Peoples R China 3.EURECOM, Dept Multimedia, F-06904 Sophia Antipolis, France 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Xueliang,Wang, Meng,Yin, Bao-Cai,et al. Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph Model[J]. ieee transactions on cybernetics,2015,45(11):2461-2471. |
APA | Liu, Xueliang,Wang, Meng,Yin, Bao-Cai,Huet, Benoit,&Li, Xuelong.(2015).Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph Model.ieee transactions on cybernetics,45(11),2461-2471. |
MLA | Liu, Xueliang,et al."Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph Model".ieee transactions on cybernetics 45.11(2015):2461-2471. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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