• DocumentCode
    3093041
  • Title

    Fuelling Big Data Intelligence into Future Multimedia System: Reflection and Outlook

  • Author

    Yonggang Wen ; Wenwu Zhu

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2015
  • fDate
    20-22 April 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The last decade has witnessed an explosive growth in multimedia big data, with the invention of big data analytics technologies, such as Hadoop, Spark, Storm. All these technologies are valuable to mine intelligence from multimedia big data, and further shed new insights into multimedia networks. This paper presents an outlook on the development of future multimedia networks and discuss utilizing the big data intelligence into the design and optimization. We start with an end-to-end view for future multimedia networks, including contents, multimedia networks, and consumers. For each part, we enumerate several representative applications and technologies that bring new challenges and opportunities. After that, we discuss the common idea of utilizing the big data intelligence to benefit the whole ecosystem, and highlight some open research issues for the future.
  • Keywords
    Big Data; data analysis; data mining; multimedia computing; parallel processing; Hadoop; Spark; Storm; big data analytics technologies; big data intelligence; future multimedia system; intelligence mining; multimedia big data; multimedia networks; representative applications; Big data; Cameras; Media; Multimedia communication; Optimization; Streaming media; Big Data Analytics; Future Multimedia Communication; SDN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Big Data (BigMM), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-8687-3
  • Type

    conf

  • DOI
    10.1109/BigMM.2015.21
  • Filename
    7153835