CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams
Bao, Bing-Kun1; Xu, Changsheng1; Min, Weiqing1; Hossain, Mohammod Shamim2
Source PublicationACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
2015-04-01
Volume11Issue:4
SubtypeArticle
AbstractWith 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.
KeywordAlgorithms Topic Detection Cross-platform Cross-media Coclustering
WOS HeadingsScience & Technology ; Technology
WOS KeywordAPPROXIMATION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000355933700007
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7932
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.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
Recommended Citation
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).
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