Spatio-temporal prediction in video coding by best approximation

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Seiler J, Lakshman H, Kaup A
Publication year: 2009
Pages range: 81-84
ISBN: 9781424445943


Abstract


Within the scope of this contribution we propose a novel efficient spatio-temporal prediction algorithm for video coding. The algorithm operates in two stages. First, motion compensation is performed on the block to be predicted in order to exploit temporal correlations. Afterwards, in order to exploit spatial correlations, this preliminary estimate is spatially refined by forming a joint model of the motion compensated block and spatially adjacent already decoded blocks. Compared to an earlier refinement algorithm, the novel one only needs very few iterations, leading to a speedup of factor 17. The implementation of this new algorithm into the H.264/AVC leads to a maximum reduction in data rate of up to nearly 13% for the considered sequences.



FAU Authors / FAU Editors

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


How to cite

APA:
Seiler, J., Lakshman, H., & Kaup, A. (2009). Spatio-temporal prediction in video coding by best approximation. (pp. 81-84). Chicago, IL, US.

MLA:
Seiler, Jürgen, Haricharan Lakshman, and Andre Kaup. "Spatio-temporal prediction in video coding by best approximation." Proceedings of the 2009 Picture Coding Symposium, PCS 2009, Chicago, IL 2009. 81-84.

BibTeX: 

Last updated on 2018-17-12 at 20:50