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.
Verbist, F, Deligiannis, N, Jacobs, M, Barbarien, J, Schelkens, P & Munteanu, A 2012, 'Maximum likelihood motion compensation for distributed video coding', Integrated Computer-Aided Engineering, vol. 19, no. 3, pp. 215-227.
Verbist, F., Deligiannis, N., Jacobs, M., Barbarien, J., Schelkens, P., & Munteanu, A. (2012). Maximum likelihood motion compensation for distributed video coding. Integrated Computer-Aided Engineering, 19(3), 215-227.
@article{c76894084ecd494fbf842f1d95a331d6,
title = "Maximum likelihood motion compensation for distributed video coding",
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.",
keywords = "distributed video coding, Wyner-Ziv video coding, Side information generation, Maximum likelihood estimation, Hash-based motion estimation, video coding",
author = "Frederik Verbist and Nikolaos Deligiannis and Marc Jacobs and Joeri Barbarien and Peter Schelkens and Adrian Munteanu",
year = "2012",
language = "English",
volume = "19",
pages = "215--227",
journal = "Integrated Computer-Aided Engineering",
issn = "1069-2509",
publisher = "IOS Press",
number = "3",
}