Removing Redundancy in Multi-Resolution Scalable Video Coding Schemes

Nowadays standard technologies for spatially scalable video coding use Gaussian pyramidal approaches, that naturally lead to redundant descriptions after the temporal analysis. However solutions have been proposed to preserve the critical sampling criterion within a multi-resolution framework. That research area is highly worth the interest since the redundancy suppression potentially improves compression efficiency. We focus here on two different solutions, with a special focus on the spectral composition of the transmitted information. Last some results are presented and discussed.

[1]  David S. Taubman,et al.  An efficient content-adaptive MC 3D-DWT with enhanced spatial and temporal scalability , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[2]  Zixiang Xiong,et al.  Three-dimensional embedded subband coding with optimized truncation , 2001 .

[3]  David S. Taubman,et al.  Spatial scalability and compression efficiency within a flexible motion compensated 3D-DWT , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[4]  Guillaume BOISSON,et al.  MOTION-COMPENSATED SPATIO-TEMPORAL CONTEXT-BASED ARITHMETIC CODING FOR FULL SCALABLE VIDEO COMPRESSION , 2003 .

[5]  John W. Woods,et al.  Invertible three-dimensional analysis/synthesis system for video coding with half-pixel-accurate motion compensation , 1998, Electronic Imaging.

[6]  Hyun Wook Park,et al.  Motion estimation using low-band-shift method for wavelet-based moving-picture coding , 2000, IEEE Trans. Image Process..

[7]  Béatrice Pesquet-Popescu,et al.  Three-dimensional lifting schemes for motion compensated video compression , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[8]  Jens-Rainer Ohm,et al.  Three-dimensional subband coding with motion compensation , 1994, IEEE Trans. Image Process..

[9]  Christine Guillemot,et al.  Accuracy-scalable motion coding for efficient scalable video compression , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[10]  Peter Schelkens,et al.  Wavelet-based fine granularity scalable video coding with in-band prediction , 2002 .