• DocumentCode
    1274995
  • 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
  • Volume
    57
  • Issue
    2
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    882
  • Lastpage
    887
  • 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 a Scalable ROI (SROI) algorithm that applies the ROI (Region of Interests) concept to SVC (Scalable Video Codec). While existing methods use a 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
    quality of service; video codecs; video coding; video streaming; H.264/SVC-based video streaming; Quality of Service; Region of Interest; enhancement layer; peak signal-to-noise ratio; scalable ROI algorithm; scalable video codec; transmission overhead; Encoding; Equations; Mathematical model; Scalability; Signal to noise ratio; Static VAr compensators; Streaming media; Adaptive Video Streaming; H.264/SVC; Quality of experience; Region of Interests; Scalable Video Codec;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2011.5955236
  • Filename
    5955236