| Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph Model | |
Liu, Xueliang1; Wang, Meng1; Yin, Bao-Cai2; Huet, Benoit3; Li, Xuelong4
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| 作者部门 | 光学影像学习与分析中心 |
| 2015-11-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS
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| ISSN | 2168-2267 |
| 卷号 | 45期号:11页码:2461-2471 |
| 产权排序 | 4 |
| 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. |
| 文章类型 | Article |
| 关键词 | Event Enrichment Hypergraph Transductive Learning |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TCYB.2014.2374755 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | RECOGNITION ; FEATURES ; SEARCH ; SYSTEM |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| 项目资助者 | National 973 Program of China(2014CB347600 ; National Nature Science Foundation of China(61125106 ; Fundamental Research Funds for the Central Universities of China(2013HGCX0001) ; Doctoral Fund of Ministry of Education of China(20130111110010) ; Program for New Century Excellent Talents in University(NCET-12-0836) ; Key Research Program of the Chinese Academy of Sciences(KGZD-EW-T03) ; 2013CB329604) ; 61272393 ; 61322201 ; 61432019) |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000363233000008 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/25506 |
| 专题 | 光谱成像技术研究室 |
| 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. |
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| Event-Based Media En（1208KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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