Paper
18 January 2004 Low-rate video coding with block reordering in wavelet domain
Author Affiliations +
Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.526816
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
In this paper, we present a novel energy compaction method, the selective block reordering, which is used with SPIHT (SBR-SPIHT) coding for low rate video coding to enhance the coding efficiency for motion-compensated residuals. The inter-frame coding basically includes three major parts - motion estimation, motion compensation, and motion-compensated residual coding. The motion estimation and overlapped block motion compensation (OBMC) methods of H.263 are used to reduce the temporal redundancy. The motion-compensated residuals are encoded in the wavelet domain. The block-mapping reorganization utilizes the wavelet zerotree relationship that jointly presents the wavelet coefficients from the lowest subband to high frequency subbands at the same spatial location, and allocates each wavelet tree with all descendents to form a wavelet block. The block reordering based on the threshold scan rearranges the significant blocks in the descending order of the energy. Then, the block reordering technique reorders the wavelet sub-blocks recrusively, according to the energy of each sub-block, to yield the maximum energy compaction that allows the SPIHT coding to operate efficiently on the motion-compensated residuals. Simulation results demonstrate that SBR-SPIHT outperforms H.263 by 1.28~0.69 dB on average for various video sequences at very low bit-rates, ranging from 48 to 10 kbps.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pao-Chi Chang and Ta-Te Lu "Low-rate video coding with block reordering in wavelet domain", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.526816
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KEYWORDS
Wavelets

Video coding

Video

Motion estimation

Discrete wavelet transforms

Image compression

Computer programming

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