Wavelet-based multi-view video coding with joint best basis wavelet packets

An approach to scalable multi-view video coding with joint best basis wavelet packets is examined in this paper. A 4-D wavelet transform is used to decorrelate the multi-view video data temporally, view-directionally, and spatially for efficient scalable compression. Motion Compensated Temporal Filtering (MCTF) is used for temporal, and disparity compensated view filtering (DCVF) for viewdirectional decomposition. Adaptive wavelet packets as a generalized wavelet decomposition are presented for spatial decomposition. Two algorithms to find the best basis wavelet packets are evaluated and compared with classical dyadic wavelet transform: a low complexity entropy based best basis search and a search algorithm in a rate-distortion framework. In both cases, the joint best basis is determined for a group of frames rather than for each frame individually. Therefore, the rate to spend for the tree description is minimal while advantage is taken of the similarity of frames within a temporal-v...

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: André Kaup, Béatrice Pesquet-Popescu, Jens-Uwe Garbas, Maria Trocan
• Keywords: 4-D Wavelet Transform, Adaptive Wavelet Packets, Basis Wavelet Packets, Classical Dyadic Wavelet, Generalized Wavelet Decomposition, ICIP 2008, Image Processing