Wavelet-based multi-view video coding with spatial scalability

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Garbas JU, Kaup A
Publication year: 2007
Pages range: 422-425
ISBN: 9781424412747
Language: English


Abstract


In this paper, we propose two wavelet-based frameworks which allow fully scalable multi-view video coding. Using a 4-D wavelet transform, both schemes generate a bitstream that can be truncated to achieve a temporally, view-directionally, and/or spatially downscaled representation of the coded multi-view video sequence. Well-known wavelet-based scalable coding schemes for single-view video sequences have been adopted and extended to match the specific needs of scalable multi-view video coding. Motion compensated temporal filtering (MCTF) is applied to each video sequence of each camera to exploit temporal correlation and inter-view dependencies are exploited with disparity compensated view filtering (DCVF). A spatial wavelet transform is utilized either before and after temporal-view-directional decomposition (2D+T+V+2D scheme) or only after the temporal-view-directional decomposition (T+V+2D scheme) for spatial decorrelation. The influence of the two different approaches on spatial scalability is shown in this paper as well as the superior coding efficiency of both codecs compared with simulcast coding. © 2007 IEEE.


FAU Authors / FAU Editors

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


How to cite

APA:
Garbas, J.-U., & Kaup, A. (2007). Wavelet-based multi-view video coding with spatial scalability. In Proceedings of the 2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 (pp. 422-425). Chania, Crete, GR.

MLA:
Garbas, Jens-Uwe, and André Kaup. "Wavelet-based multi-view video coding with spatial scalability." Proceedings of the 2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007, Chania, Crete 2007. 422-425.

BibTeX: 

Last updated on 2019-27-05 at 18:53