• DocumentCode
    310363
  • Title

    Nonlinear predictive rate control for constant bit rate MPEG video coders

  • Author

    Saw, Yoo-Sok ; Grant, Peter M. ; Hannah, John M. ; Mulgrew, Bernard

  • Author_Institution
    Dept. of Electr. Eng., Edinburgh Univ., UK
  • Volume
    4
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    2641
  • Abstract
    A nonlinear predictive approach has been employed in MPEG (Moving Picture Experts Group) video transmission in order to improve the rate control performance of the video encoder. A nonlinear prediction and quantisation technique has been applied to the video rate control which employs a transmission buffer for constant bit rate video transmission. A radial basis function (RBF) network has been adopted as a video rate estimator to predict the rate value of a picture in advance of encoding. The quantiser control surfaces based on nonlinear equations, which map both estimated and current buffer occupancies to a suitable quantisation step size, have also been used to achieve quicker responses to dramatic video rate variation. This scheme aims to adequately accommodate non-stationary video in the limited capacity of the buffer. Performance has been evaluated in comparison to the MPEG2 Test Model 5 (TM5) in terms of the buffer occupancy and picture quality
  • Keywords
    feedforward neural nets; image sequences; nonlinear equations; prediction theory; quantisation (signal); video coding; MPEG video transmission; MPEG2 Test Model 5; buffer occupancy; constant bit rate video coders; non-stationary video; nonlinear equations; nonlinear predictive rate control; performance evaluation; picture quality; quantisation step size; quantisation technique; quantiser control surfaces; radial basis function network; transmission buffer; video rate estimator; Bit rate; Electronic mail; Encoding; Layout; MPEG standards; Nonlinear equations; PSNR; Quantization; Size control; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.595331
  • Filename
    595331