Spatio-temporal prediction in video coding by best approximation

Authors:
Jürgen Seiler;Haricharan Lakshman;André Kaup
Affiliations:
Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany;Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany;Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany
Venue:
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Year:
2009

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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.