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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

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2018 Impact Factor: 1.129

Front. Comput. Sci.    2016, Vol. 10 Issue (3) : 433-446    https://doi.org/10.1007/s11704-015-4583-2
REVIEW ARTICLE
Event analysis in social multimedia: a survey
Xueliang LIU1,*(),Meng WANG1,Benoit HUET2
1. School of Computer and Information, Hefei University of Technology, Hefei 230009, China
2. Department of Multimedia, EURECOM sophia-antipolis, Nice 06560, France
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Abstract

Recent years have witnessed the rapid growth of social multimedia data available over the Internet. The age of huge amount of media collection provides users facilities to share and access data, while it also demands the revolution of data management techniques, since the exponential growth of social multimedia requires more scalable, effective and robust technologies to manage and index them. The event is one of the most important cues to recall people’s past memory. The reminder value of an event makes it extremely helpful in organizing data. The study of event based analysis on social multimedia data has drawn intensive attention in research community. In this article, we provide a comprehensive survey on event based analysis over social multimedia data, including event enrichment, detection, and categorization. We introduce each paradigm and summarize related research efforts. In addition, we also suggest the emerging trends in this research area.

Keywords event enrichment      event detection      event categorization     
Corresponding Author(s): Xueliang LIU   
Just Accepted Date: 20 May 2015   Online First Date: 06 April 2016    Issue Date: 16 May 2016
 Cite this article:   
Xueliang LIU,Meng WANG,Benoit HUET. Event analysis in social multimedia: a survey[J]. Front. Comput. Sci., 2016, 10(3): 433-446.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-015-4583-2
https://academic.hep.com.cn/fcs/EN/Y2016/V10/I3/433
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