• DocumentCode
    35836
  • Title

    Multimedia Big Data Computing

  • Author

    Wenwu Zhu ; Peng Cui ; Zhi Wang ; Gang Hua

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • Volume
    22
  • Issue
    3
  • fYear
    2015
  • fDate
    July-Sept. 2015
  • Firstpage
    96
  • Abstract
    With the proliferation of social media, which is largely fostered by the boom of the Internet and mobile ecosystems, a huge amount of multimedia data has been generated, forming the multimedia big data. However, because multimedia data is unstructured and multimodal in nature, with real-time and Quality of ExperieInternetnce requirements, multimedia big data computing has not only created unprecedented opportunities but also imposed fundamental challenges in storage, processing, and analysis. Here, the authors introduce the principal concepts for multimedia big data computing, discuss what the scientific problems and fundamental challenges are, and present methodologies and approaches from the perspectives of the multimedia life cycle and multimedia big data computing life cycle. They also speculate on the research opportunities and directions for multimedia big data computing.
  • Keywords
    Big Data; cloud computing; mobile computing; multimedia computing; quality of experience; social networking (online); Internet; Quality of Experience; mobile ecosystem; multimedia big data computing life cycle; social media; big data; data analysis; graphics; multimedia; multimedia big data; social media; visualization;
  • fLanguage
    English
  • Journal_Title
    MultiMedia, IEEE
  • Publisher
    ieee
  • ISSN
    1070-986X
  • Type

    jour

  • DOI
    10.1109/MMUL.2015.66
  • Filename
    7181819