A high throughput parallel AVC/H.264 context-based adaptive binary arithmetic decoder

Jia Wei Liang, He Yuan Lin, Gwo Giun Lee

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

2 Citations (Scopus)

Abstract

In this paper, based on the proposed parallelization scheme of binary arithmetic decoding, a parallel AVC/H.264 context-based adaptive binary arithmetic coding (CABAC) decoder with high throughput is proposed. Following the top-down design methodology, algorithm analyzing and dataflow modeling in both high and low granularities are performed to achieve the proposed architecture. According to the analysis for algorithm, the similarity between CABAC decoder and Viterbi decoder is found to extend the degree of parallelism for binary arithmetic decoding. The application of proposed design is specified to support AVC/H.264 High Profile, 4.2 Level, and 1920x1088 resolution at 64 frames per second. By increasing the degree of parallelism of bin decoding, the throughput of the proposed architecture is shown by the experiments to have improved 3.5 times as compared to the sequential bin decoding, and the decoded bin per second can reach 378M at clock speed 108MHz.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages1729-1732
Number of pages4
DOIs
Publication statusPublished - 2011 Aug 18
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 2011 May 222011 May 27

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period11-05-2211-05-27

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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