Low-rate FGS video compression based on motion-compensated spatio-temporal wavelet analysis

Jerome Vieron; Christine M. Guillemot

doi:10.1117/12.509890

23 June 2003 Low-rate FGS video compression based on motion-compensated spatio-temporal wavelet analysis

Jerome Vieron, Christine M. Guillemot

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.509890
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

This paper describes low rate FGS video compression algorithms based on closed-loop temporal prediction combined with motion-compensated spatio-temporal wavelet analysis. After presenting an overall coding architecture, the paper reviews different motion-compensated (MC) temporal filtering solutions and discusses their amenability for compression and fine grain scalability. The coding architecture relies on a rate-constrained hierarchical motion estimation and a 3D-EBCOT algorithm. The analysis of different MC-temporal filtering solutions is substantiated with various quantitative elements on filter length, on motion models and temporal transform reliability. Some of their limitations are then addressed by designing algorithms which combine closed-loop temporal prediction with MC-temporal analysis. The PSNR performances of the approaches are compared with those obtained with MPEG-4 part 2 and H.264 JM2.1.

Citation Download Citation

Jerome Vieron and Christine M. Guillemot "Low-rate FGS video compression based on motion-compensated spatio-temporal wavelet analysis", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.509890

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