• DocumentCode
    2639276
  • Title

    Scalable ROI algorithm for H.264/SVC-based video streaming

  • Author

    Lee, Jung-Hwan ; Yoo, Chuck

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Korea Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    201
  • Lastpage
    202
  • Abstract
    H.264/SVC has been widely adopted to smart CE devices for network-adaptive video transmission. However, current H.264/SVC does not support sufficiently high subjective QoS (Quality of Service) because its scalability methods provide only coarse-grained network adaptivity. To address this problem, we propose Scalable ROI (SROI) algorithm that applies ROI (Region of Interests) concept to SVC (Scalable Video Codec). While existing methods use fixed size of enhancement layers, our method utilizes only ROI area as an enhancement layer so that it can improve subjective QoS with low transmission overhead. Through some experiments, we show that our method can increase PSNR (Peak Signal-to-Noise Ratio) by 4~5 dB in ROI areas.
  • Keywords
    video codecs; video coding; video communication; video streaming; H.264-SVC; QoS; coarse grained network adaptivity; network adaptive video transmission; peak signal to noise ratio; quality of service; region of interest; scalable ROI algorithm; scalable video codec; video streaming; Bandwidth; Data mining; PSNR; Scalability; Static VAr compensators; Streaming media; Video codecs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2011 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4244-8711-0
  • Type

    conf

  • DOI
    10.1109/ICCE.2011.5722540
  • Filename
    5722540