Efficient H.264/AVC software CAVLC decoder based on level length extraction

Naofumi Uchihara*, Hiroki Hayakawa, Hiroyuki Kasai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This paper presents a proposal for an efficient software CAVLC decoder architecture in H.264/AVC based on level length extraction (LLE). Especially, level-decoding in a CAVLC decoder is addressed. Its features are summarized in two parts: higher efficient pipeline processing of level decoding, and simultaneous multiple calculations of multiple level codes separated from level decoding loop using Single Instruction Multiple data (SIMD) instruction. The former is achieved by separating Level calculation from Level parsing based on the LLE scheme, and removing branch operations in the level decoding loop. These improve the pipelineprocessing efficiency. The latter removes Level calculation from the level decoding loop, and uses multiple Level calculations based on SIMD instruction. The proposed schemes emphasize the software architecture. They are therefore applicable to general computers. Consequently, they can also be integrated with other CAVLC opimization schemes for CoeffToken, TotalZeros, and RunBefore syntax elements. Based on results of evaluation experiments, we confirmed that the improved pipeline processing achieved 22% faster decoding speed compared with the conventional method, which used only the LLE scheme. The SIMD-based Level calculation also achieved a 38% faster decoder than before by integrating with the former part.

Original languageEnglish
Article number6170067
Pages (from-to)146-153
Number of pages8
JournalIEEE Transactions on Consumer Electronics
Volume58
Issue number1
DOIs
Publication statusPublished - 2012 Feb
Externally publishedYes

Keywords

  • CAVLC
  • H.264/AVC
  • Level decoding
  • Level length extraction
  • Pipeline processing
  • SIMD

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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