Low complexity MAD prediction algorithms for rate controllable H.264/AVC hardware encoders

Li Chuan Chang, Chih Hung Kuo, Bin Da Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents two low complexity macroblock-level MAD (Mean Absolute Difference) prediction algorithms for H.264/AVC rate control. Both of the algorithms consider the rate-distortion performance and its hardware cost jointly. One of the algorithms predicts the MAD value by observing the motion vector of the surrounding macroblocks (MB), the other one uses numerical analysis to find the best fit weighting factors for the MAD value. These algorithms do not suffer from the MB-pipeline problems which decrease the rate-distortion performance, thus they are suitable for H.264/AVC hardware encoders. Experimental results show that the proposed MAD prediction algorithm can further improve the rate-distortion performance for the rate control scheme. Compared with the JVT-G012 rate control scheme, our algorithms can increase the PSNR to 0.38 dB and 0.35 dB, respectively.

Original languageEnglish
Title of host publicationISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publicationNano-Bio Circuit Fabrics and Systems
Pages661-664
Number of pages4
DOIs
Publication statusPublished - 2010 Aug 31
Event2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France
Duration: 2010 May 302010 Jun 2

Publication series

NameISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Other

Other2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
CountryFrance
CityParis
Period10-05-3010-06-02

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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