Spatio-temporal prediction in video coding by best approximation
Seiler J, Lakshman H, Kaup A (2009)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2009
Pages Range: 81-84
Article Number: 5167407
Event location: Chicago, IL
ISBN: 9781424445943
URI: https://arxiv.org/abs/2207.09727
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.
Authors with CRIS profile
Jürgen Seiler
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
How to cite
APA:
Seiler, J., Lakshman, H., & Kaup, A. (2009). Spatio-temporal prediction in video coding by best approximation. In Proceedings of the 2009 Picture Coding Symposium, PCS 2009 (pp. 81-84). Chicago, IL, US.
MLA:
Seiler, Jürgen, Haricharan Lakshman, and André Kaup. "Spatio-temporal prediction in video coding by best approximation." Proceedings of the 2009 Picture Coding Symposium, PCS 2009, Chicago, IL 2009. 81-84.
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