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

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Garbas JU, Trocan M, Pesquet-Popescu B, Kaup A
Publication year: 2008
Pages range: 1232-1235
ISBN: 9781424417643


Abstract


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 view-directional 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-view-directional subband. © 2008 IEEE.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Garbas, J.-U., Trocan, M., Pesquet-Popescu, B., & Kaup, A. (2008). Wavelet-based multi-view video coding with joint best basis wavelet packets. (pp. 1232-1235). San Diego, CA, US.

MLA:
Garbas, Jens-Uwe, et al. "Wavelet-based multi-view video coding with joint best basis wavelet packets." Proceedings of the 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA 2008. 1232-1235.

BibTeX: 

Last updated on 2018-19-12 at 20:50