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Journal Publication

Maximum likelihood motion compensation for distributed video coding

This publication appears in: Integrated Computer-Aided Engineering

Authors: F. Verbist, N. Deligiannis, M. Jacobs, J. Barbarien, P. Schelkens and A. Munteanu

Volume: 19

Issue: 3

Pages: 215-227

Publication Year: 2012


Abstract:

Stimulated by the evolution of wireless visual sensor networks and the mass commercialization of portable, low-cost video recording devices, this work presents a novel hash-based transform domain distributed video codec, offering low- complexity robust encoding. A simple hash, composed of the coarsely quantized pixel values of the downsampled frames, is employed to perform overlapped block motion estimation at the decoder, which produces a set of temporal predictors on a pixel basis. For every pixel position, a maximum likelihood estimator, based on an online estimate of the actual correlation channel statistics, combines the cluster of temporal predictors into a single value to serve as decoder-generated side informa- tion. Efficient low-density parity-check accumulate channel codes refine the side information in the DCT domain, yielding the reconstructed frames. Experimental results demonstrate that the proposed system exhibits state-of-the-art distributed coding performance. The presented video codec maintains similar encoder complexity as the state-of-the-art distributed DISCOVER codec but offers considerably superior coding performance, in particular for sequences organized in large groups of pictures or containing highly irregular motion.

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Prof. Dr. Ir. Nikos Deligiannis

+32 (0)02 629 168

ndeligia@etrovub.be

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Prof. Dr. Ir. Peter Schelkens

+32 (0)02 629 168

pschelke@etrovub.be

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Prof. Dr. Ir. Adrian Munteanu

+32 (0)02 629 168

acmuntea@etrovub.be

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