• DocumentCode
    2691354
  • Title

    Scalable video adaptation optimization using soft decision scheme

  • Author

    Pan, Chia-Ho ; Huang, Sheng-Chieh ; Lee, I-Hsien ; Lian, Chung-Jr ; Chen, Liang-Gee

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei
  • fYear
    2008
  • fDate
    June 23 2008-April 26 2008
  • Firstpage
    469
  • Lastpage
    472
  • Abstract
    Video transmission over a heterogeneous network suffers a condition that it has required to satisfy many different constraints because of the variety limitations of client equipments and preferences of each user. In this condition, the video stream should have the flexibility feature. Scalable video coding is one of the solutions to serve this condition. In order to provide a better flexibility on scalability feature, more than one combination with video spatial size, temporal frame rate, and visual quality resolution are utilized. It is difficult to adapt the appropriate relation between the various combinations and user preference. In this paper, we propose an objectivity-derived algorithm with soft decision scheme for serving scalable video adaptation. This method can be used in existing equipments without much computation overhead. This useful and simple solution is not only a practical way in scalable video adaptation design, but also an efficient scheme of achieving subjective satisfaction.
  • Keywords
    feature extraction; image resolution; video coding; objectivity-derived algorithm; scalable video adaptation optimization; scalable video coding; soft decision scheme; temporal frame rate; video spatial size; video transmission; visual quality resolution; Decoding; Feedback; MPEG 4 Standard; Multidimensional systems; Scalability; Spatial resolution; Static VAr compensators; Streaming media; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2008 IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2570-9
  • Electronic_ISBN
    978-1-4244-2571-6
  • Type

    conf

  • DOI
    10.1109/ICME.2008.4607473
  • Filename
    4607473