An Improved Rate Control Algorithm of H.264/AVC Based on Human Visual System

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)


The spacial and temporal features of video pictures are analyzed based the characteristics of Human Visual System (HVS). Then a analysis model of video pictures is proposed, which will abstract the features of motion and texture of video pictures. Based on the moving region detector and texture analysis model,the perceptual importance of MBs is assigned as four grades. The Lagrange coefficient λmode and Quantization step length QP are adjusted according to the grades. A adaptive rate-control algorithm of H.264/AVC is proposed at last. Simulation results show that the proposed algorithm can efficiently reduce bit rates without visual quality degradation and gain better subjective video quality under the condition of rate-restricted.


HVS H.264/AVC Rate-control Perceptual importance 


  1. 1.
    Tsai CJ, Tang CW, Chen CH, Yu YH et al (2004) Adaptive rate-distortion optimization using perceptual hints [C]. In: IEEE international conference on multimedia and expo, vol 1, pp 667–670Google Scholar
  2. 2.
    Yu HT, Pan F, Lin ZP, Sun Y et al (2005) A perceptual bit allocation scheme for H.264 [C]. In: IEEE international conference on multimedia and expo, Amsterdam, July 2005, pp 4–7Google Scholar
  3. 3.
    Sullivan G, Wiegand T, Lim KP et al (2003) Joint model reference encoding methods and decoding concealment methods [C], section 2.6: rate control JVT-I049, San Diego, pp 24–31Google Scholar
  4. 4.
    Ma SW, Gao W, Wu F, et al (2003) Rate control for JVT video coding scheme with HRD considerations [C]. In: Proceedings of IEEE ICIP 2003. IEEE Signal Processing Society, Barcelona, pp 793–796Google Scholar
  5. 5.
    Itti L, Koch C, Niebur E et al (1998) A model of saliency-based visual attention for rapid scene analysis [J]. IEEE Trans Pattern Anal Mach Intell 20(11):1254–1259CrossRefGoogle Scholar
  6. 6.
    Jungwoo L (1999) A fast frame type selection technique for very low bit rates coding using MPEG-1 [J]. Real-time Imaging J 5(2):83–94Google Scholar
  7. 7.
    Rajashekar U, Cormack LK, Bovik AC et al (2003) Image features that draw fixations [J]. ICIP 3: 13–16Google Scholar
  8. 8.
    Tang CW (2006) Spatiotemporal visual considerations for video coding [J]. IEEE Trans Multimedia 9(2):231–238CrossRefMATHGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.College of Machine and Electronics EngineeringEast China Institute of TechnologyFuzhouChina
  2. 2.College of Information EngineeringEast China Institute of TechnologyFuzhouChina

Personalised recommendations