Garbas JU, Trocan M, Pesquet-Popescu B, Kaup A (2008)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2008
Pages Range: 1232-1235
Article Number: 4711984
ISBN: 9781424417643
DOI: 10.1109/ICIP.2008.4711984
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.
APA:
Garbas, J.-U., Trocan, M., Pesquet-Popescu, B., & Kaup, A. (2008). Wavelet-based multi-view video coding with joint best basis wavelet packets. In Proceedings of the 2008 IEEE International Conference on Image Processing, ICIP 2008 (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.
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