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Methods and Tools for Wavelet-Based Scalable Multiview Video Coding

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3 Author(s)
Jens-Uwe Garbas ; Department of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany ; Béatrice Pesquet-Popescu ; André Kaup

A wavelet-based multiview video coding scheme is presented in this paper. It uses a 4-D wavelet transform, which is composed of a 1-D temporal wavelet transform, namely motion compensated temporal filtering, a 1-D view-directional wavelet transform, namely disparity compensated view filtering and a 2-D spatial wavelet transform. Since the presented framework can make use of the inherent scalability properties of the wavelet transforms involved, it allows full scalability of the coded bitstream in the temporal, view, spatial, and quality dimensions. Coding performance close to the H.264/advanced video coding based standard multiview video codec is shown. Enhancements of the view transform, in order to better account for brightness and color variations across views are introduced. Additionally, the use of a signal adaptive anisotropic wavelet packet (WP) transform as a generalization of WP transforms for the spatial decomposition is proposed. Both enhancements lead to a decrease of bit rate of up to 11% compared with the baseline version of the codec.

Published in:

IEEE Transactions on Circuits and Systems for Video Technology  (Volume:21 ,  Issue: 2 )