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Proceedings Paper

Optimization of the predict operator in lifting-based motion-compensated temporal filtering
Author(s): Gregoire Pau; Christophe Tillier; Beatrice Pesquet-Popescu
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Paper Abstract

The motion-compensated temporal filtering is an essential part of a scalable wavelet-based video coding scheme, which applies a temporal wavelet transform in the motion direction over the frames of a video sequence. The lifting structure of the temporal filter bank tackled in this paper involves a predict operator which makes use of two motion vector fields to bidirectionally predict frames from their neighbouring ones. We show in this paper that there exists an optimal algorithm allowing to estimate jointly these two motion vector fields subject to an optimization criterion directly related to the coding of the detail subbands. We provide an iterative suboptimal form of this algorithm implementing this approach. We show that this algorithm provides substantial gains in terms of PSNR, with the same complexity as a separate estimation of the two motion vector fields.

Paper Details

Date Published: 18 January 2004
PDF: 9 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.526824
Show Author Affiliations
Gregoire Pau, Ecole Nationale Supérieure des Télécommunications (France)
Christophe Tillier, Ecole Nationale Supérieure des Télécommunications (France)
Beatrice Pesquet-Popescu, Ecole Nationale Supérieure des Télécommunications (France)

Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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