• DocumentCode
    1167346
  • Title

    Rate control of MPEG video for consistent picture quality

  • Author

    Hong, Sung-Hoon ; Yoo, Sang-Jo ; Lee, Si-Woong ; Kang, Hyun-Soo ; Hong, Sung Yong

  • Author_Institution
    Dept. of Electron., Chonnam Nat. Univ., Gwangju, South Korea
  • Volume
    49
  • Issue
    1
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    We propose a rate control scheme using a rate-distortion (R-D) estimation model, which produces a consistent picture quality between consecutive frames. Our R-D estimation method offers a closed-form mathematical model that enables us to predict the bits and the distortion generated from a frame encoded at a given quantization parameter (QP) and vice versa. Its most attractive feature is its low computational complexity. Furthermore, it is accurate enough to be applied to practical video coding. In our simulation, the estimation errors for rate and distortion are less than 2.5% and 1.5%, respectively. Therefore, the proposed rate control scheme is appropriate for applications requiring low delay, low complexity, and the ability to control output bit-rate and quality accurately. Our scheme ensures that the video buffers do not underflow or overflow by satisfying the buffer constraint, and it also prevents quality difference between consecutive frames from exceeding a certain demanded level by adopting a distortion constraint. In addition, a consistent picture quality is maintained within a frame, and error propagation, caused by quality degradation of anchor frames, is reduced by differentiating the control procedure for anchor frames from that for nonanchor frames. Simulation results show that our control scheme achieves 0.52-1.84 dB peak signal-to-noise ratio (PSNR) gain over MPEG-2 Test Model 5 (TM5) rate control and maintains very consistent quality within a frame as well as between frames.
  • Keywords
    buffer storage; computational complexity; data compression; delays; distortion; parameter estimation; quantisation (signal); rate distortion theory; video coding; MPEG video; MPEG-2 TM5; PSNR; buffer constraint; closed-form mathematical model; consistent picture quality; distortion constraint; error propagation; estimation errors; peak signal-to-noise ratio; quantization parameter; rate control; rate-distortion estimation; video buffers; video coding; Computational complexity; Computational modeling; Estimation error; Mathematical model; PSNR; Quadratic programming; Quantization; Rate distortion theory; Rate-distortion; Video coding;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/TBC.2003.808912
  • Filename
    1190030