A two pass H.264-based matching pursuit video coder

Beibei Wang, Yao Wang, Peng Yin

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

Abstract

This paper proposes a matching pursuit video codec built on top of the H.264 framework. H.264/MPEG4 AVC is currently the most efficient video coding standard and it applies block-based motion compensation and DCT-like transform as all other standards. In order to further improve the coding efficiency and enable bit stream scalability, we explore the use of redundant frame-based Gabor transforms for coding the prediction error. The motion compensation and mode decision parts are compatible to H.264. The overlapped block motion compensation (OBMC) method can be optionally invoked to smooth the predicted images. Because H.264/AVC incorporates both inter and intra prediction, and allows many different block sizes, it is more challenging to apply matching pursuit on H.264/AVC than on prior standards. We investigate how to apply MP to prediction error images containing both inter- and intrapredicted blocks. We also investigate how to adapt the quantizer based on the H.264 QP. The preliminary simulation results show that the proposed codec outperforms H.264/AVC at the low to medium bit rate range, both objectively and subjectively, while generating a scalable bit stream.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages3149-3152
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2006 IEEE International Conference on Image Processing, ICIP 2006
Country/TerritoryUnited States
CityAtlanta, GA
Period10/8/0610/11/06

Keywords

  • Video codec
  • Video signal processing

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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