• DocumentCode
    125243
  • Title

    Adaptive Media Coding and Distribution Based on Clouds

  • Author

    Myung-Hoon Jeon ; Byoung-Dai Lee ; Nam-Gi Kim

  • Author_Institution
    Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea
  • fYear
    2014
  • fDate
    5-7 Feb. 2014
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    Recently, an N-screen service has been drawing attention because of the widespread use of various smart devices. An N-screen service is a service that can use the same media content irrespective of the type of connected device. Therefore, to provide an optimal N-screen service, each connected device needs to be provided with optimized media contents. As the types and performances of smart devices have been constantly changing, various coding techniques have been developed to adapt to these changes. However, it is difficult for contents providers to flexibly cope with the changes in the contents-providing environment. Thus, in this paper, we propose a framework that makes it possible to flexibly create media contents by using a cloud-computing environment. In particular, one of the main characteristics of the proposed framework is to define the encoding process of media contents as a service concept and to provide a low-cost high-efficiency media contents encoding environment based on SaaS (Software as a Service), a service model of cloud computing.
  • Keywords
    cloud computing; encoding; multimedia systems; N-screen service; SaaS; adaptive media coding; adaptive media distribution; cloud-computing environment; coding techniques; contents-providing environment; optimized media contents; smart devices; software as a service; Cloud computing; Encoding; HDTV; Media; Performance evaluation; Standards; Video coding; N-screen; cloud computing; media coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Cloud Computing and Applications (NCCA), 2014 IEEE 3rd Symposium on
  • Conference_Location
    Rome
  • Print_ISBN
    978-0-7695-5168-5
  • Type

    conf

  • DOI
    10.1109/NCCA.2014.24
  • Filename
    6786770