A Survey of Multimedia Big Data

被引：18
|
作者：
Wang, Zaijian [1 ]
Mao, Shiwen [2 ]
Yang, Lingyun [1 ]
Tang, Pingping [1 ]
机构：
[1] Anhui Normal Univ, Coll Phys & Elect Informat, Wuhu 241000, Peoples R China
[2] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA
来源：
CHINA COMMUNICATIONS | 2018年 / 15卷 / 01期
基金：
美国国家科学基金会; 中国国家自然科学基金;
关键词：
Multimedia big data; human-centricity; heterogeneity; machine learning; multimodality; PREDICTION; CLOUD; OPTIMIZATION; NETWORKS; MODEL;
D O I：
10.1109/CC.2018.8290814
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services. In this paper, we present a survey and tutorial for multimedia big data. After discussing the characteristics of multimedia big data such as human-centricity, multimodality, heterogeneity, unprecedented volume, and so on, this paper provides an overview of the state-of-the-art of multimedia big data, reviews the latest related technologies, and discusses the technical challenges. We conclude this paper with a discussion of open problems and future directions.
引用
收藏
页码：155 / 176
页数：22
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