CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Recent advances in social multimedia big data mining and applications
Sang JT(桑基韬); Yue Gao; Bing-Kun Bao; Cees Snoek; Qionghai Dai
Source PublicationMultimedia Systems
2016
Issue22Pages:1-3
AbstractIn the past decade, social media contributes significantly to the arrival of the Big Data era. Big Data has not only provided new solutions for social media mining and applications, but brought about a paradigm shift to many fields of data analytics. This special issue solicits recent related attempts in the multimedia community. We believe that the enclosed papers in this special issue provide a unique opportunity for multidisciplinary works connecting both the social media and big data contexts to multimedia computing.
KeywordMultimedia Big Data Mining
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19731
Collection模式识别国家重点实验室_多媒体计算与图形学
Recommended Citation
GB/T 7714
Sang JT,Yue Gao,Bing-Kun Bao,et al. Recent advances in social multimedia big data mining and applications[J]. Multimedia Systems,2016(22):1-3.
APA Sang JT,Yue Gao,Bing-Kun Bao,Cees Snoek,&Qionghai Dai.(2016).Recent advances in social multimedia big data mining and applications.Multimedia Systems(22),1-3.
MLA Sang JT,et al."Recent advances in social multimedia big data mining and applications".Multimedia Systems .22(2016):1-3.
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