An improved method to CABAC in the H.264/AVC video compression standard

Le Thanh Ha, Chun Su Park, Seung Won Jung, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

Abstract

Context-based Adaptive Binary Arithmetic Coding (CABAC) is adopted as an entropy coding tool for main profile of the video coding standard H.264/AVC. CABAC achieves higher degree of redundancy reduction by estimating the conditional probability of each binary symbol which is the input to the arithmetic coder. This paper presents an entropy coding method based on CABAC. In the proposed method, the binary symbol is coded using more precisely estimated conditional probability, thereby leading to performance improvement. We apply our method to the standard and evaluate its performance for diff erent video sources and various quantization parameters (QP). Experiment results show that our method outperforms the original CABAC in term of coding efficiency, and the average bit-rate savings are up to 1.2%.

Original languageEnglish
Pages (from-to)3355-3360
Number of pages6
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE92-A
Issue number12
DOIs
Publication statusPublished - 2009 Dec

Keywords

  • Arithmetic codes
  • CABAC
  • Entropy coding
  • H264/AVC
  • Linear regression

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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