4.5 Review

A Survey of Multimedia Big Data

Journal

CHINA COMMUNICATIONS
Volume 15, Issue 1, Pages 155-176

Publisher

CHINA INST COMMUNICATIONS
DOI: 10.1109/CC.2018.8290814

Keywords

Multimedia big data; human-centricity; heterogeneity; machine learning; multimodality

Funding

  1. National Natural Science Foundation of China [61401004, 61271233, 60972038]
  2. Plan of introduction and cultivation of university leading talents in Anhui [gxfxZD2016013]
  3. Natural Science Foundation of the Higher Education Institutions of Anhui Province, China [KJ2010B357]
  4. Startup Project of Anhui Normal University Doctor Scientific Research [2016XJJ129]
  5. US National Science Foundation [CNS-1702957, ACI-1642133]
  6. Wireless Engineering Research and Education Center at Auburn University

Ask authors/readers for more resources

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.

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