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Context-based arithmetic coding reexamined for DCT video compression

  • Li Zhang*
  • , Xiaolin Wu
  • , Ning Zhang
  • , Wen Gao
  • , Qiang Wang
  • , Debin Zhao
  • *Corresponding author for this work
  • CAS - Institute of Computing Technology
  • McMaster University
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a new context modeling technique for arithmetic coding of DCT coefficients in video compression. A key feature of the new technique is the inclusion of all previously coded coefficient magnitudes in a DCT block in context modeling. This enables adaptive arithmetic coding to exploit the redundancy of the high-order Markov process in the DCT domain with a few conditioning states. In addition, a context weighting technique is used to further improve the coding efficiency. The complexity of the new arithmetic coding scheme is slightly lower than that of Context-based Adaptive Binary Arithmetic Coding (CABAC) of H.264. Moreover, the scheme is made compatible to the AVS baseline profile. It achieves on average 13% improvement in compression ratio over Context-based Two Dimension Variable Length Coding (C2DVLC) designed for the DCT domain, and a similar coding efficiency as the CABAC technique in H.264.

Original languageEnglish
Title of host publication2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3147-3150
Number of pages4
ISBN (Print)1424409209
DOIs
StatePublished - 2007
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 27 May 200730 May 2007

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Country/TerritoryUnited States
CityNew Orleans, LA
Period27/05/0730/05/07

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