Event analysis in social multimedia： a survey

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 socia...

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Bibliographic Details
Published inFrontiers of Computer Science Vol. 10; no. 3; pp. 433 - 446
Main Authors LIU, Xueliang, WANG, Meng, HUET, Benoit
Format Journal Article
LanguageEnglish
Published Beijing Higher Education Press 01.06.2016
Springer Nature B.V
Subjects
Computer Science
Data management
event categorization
event detection
event enrichment
Multimedia
Review Article
事件分析
互联网
可扩展性
多媒体数据
技术管理
指数增长
数据管理技术
社会
event enrichment
event detection
event categorization
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Summary: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.
Bibliography:11-5731/TP
event enrichment, event detection, event categorization
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 facihties 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 ro- bust 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 so- cial multimedia data has drawn intensive attention in research community. In this article, we provide a comprehensive sur- vey on event based analysis over social multimedia data, in- cluding event enrichment, detection, and categorization. We introduce each paradigm and summarize related research ef- forts. In addition, we also suggest the emerging trends in this research area.
Document received on :2014-12-23
event enrichment
event detection
Document accepted on :2015-05-11
event categorization
ISSN:2095-2228
2095-2236
DOI:10.1007/s11704-015-4583-2