Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams
文献类型：期刊论文
| 作者 | Bao, Bing-Kun1 ; Xu, Changsheng1; Min, Weiqing1; Hossain, Mohammod Shamim2
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| 刊名 | ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
 |
| 出版日期 | 2015-04-01 |
| 卷号 | 11期号:4 |
| 关键词 | Algorithms Topic detection cross-platform cross-media coclustering |
| 英文摘要 | With the explosive growth of online media platforms in recent years, it becomes more and more attractive to provide users a solution of emerging topic detection and elaboration. And this posts a real challenge to both industrial and academic researchers because of the overwhelming information available in multiple modalities and with large outlier noises. This article provides a method on emerging topic detection and elaboration using multimedia streams cross different online platforms. Specifically, Twitter, New York Times and Flickr are selected for the work to represent the microblog, news portal and imaging sharing platforms. The emerging keywords of Twitter are firstly extracted using aging theory. Then, to overcome the nature of short length message in microblog, Robust Cross-Platform Multimedia Co-Clustering (RCPMM-CC) is proposed to detect emerging topics with three novelties: 1) The data from different media platforms are in multimodalities; 2) The coclustering is processed based on a pairwise correlated structure, in which the involved three media platforms are pairwise dependent; 3) The noninformative samples are automatically pruned away at the same time of coclustering. In the last step of cross-platform elaboration, we enrich each emerging topic with the samples from New York Times and Flickr by computing the implicit links between social topics and samples from selected news and Flickr image clusters, which are obtained by RCPMM-CC. Qualitative and quantitative evaluation results demonstrate the effectiveness of our method. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | APPROXIMATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000355933700007 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/7932]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | 1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100864, Peoples R China 2.King Saud Univ, SWE Dept, Coll Comp & Informat Sci, Riyadh 11451, Saudi Arabia |
| 推荐引用方式 GB/T 7714 | Bao, Bing-Kun,Xu, Changsheng,Min, Weiqing,et al. Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2015,11(4). |
| APA | Bao, Bing-Kun,Xu, Changsheng,Min, Weiqing,&Hossain, Mohammod Shamim.(2015).Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,11(4). |
| MLA | Bao, Bing-Kun,et al."Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 11.4(2015). |
入库方式： OAI收割
来源：自动化研究所
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