Recent advances in social multimedia big data mining and applications
文献类型：期刊论文
| 作者 | Sang JT(桑基韬) ; Yue Gao; Bing-Kun Bao; Cees Snoek; Qionghai Dai
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| 刊名 | Multimedia Systems
 |
| 出版日期 | 2016 |
| 期号 | 22页码:1-3 |
| 关键词 | Multimedia Big Data Mining |
| 英文摘要 | In 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19731]  |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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