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Codage Conjoint Source-Canal des Sources Vidéo

Abstract : We propose a joint source-channel coding scheme, developed for video sequences, which consists of a vector quantization based on lattice constellations and a linear labelling minimizing simultaneously the source and the channel distortion. The linear labelling has already been proved to minimize the channel distortion on binary symmetric channels and the linear transforms based on lattice constellations of maximum diversity to minimize, at the same time, the distortion of Gaussian sources. We study the dependencies between the wavelets coefficients of a $t+2D$ video decomposition in order to efficiently exploit the linear transforms developed for Gaussian sources. As the source distribution of the subbands is not Gaussian we present the necessary modifications in order to obtain a robust coding scheme. We propose a stochastic model to capture the dependencies between the wavelets coefficients and we use it to build an optimal mean square predictor for missing coefficients. We present two applications of this predictor on the transmission over packet networks: a quality enhancement technique for resolution scalable video bitstreams and an error concealment method. We develop a robust joint source-channel coding scheme for transmission of video sequences over a Gaussian channel using uncoded and coded index assignment via Reed-Muller codes. We investigate the conditions requiring the use of a coded index assignment and we prove its superiority compared to an unstructured vector quantizer. For a transmission over a flat-Rayleigh channel, we develop a robust coding scheme using our vector quantizer followed by a rotation matrix.
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https://pastel.archives-ouvertes.fr/pastel-00001294
Contributor : Ecole Télécom Paristech <>
Submitted on : Monday, November 22, 2010 - 5:00:10 PM
Last modification on : Friday, July 31, 2020 - 10:44:05 AM
Long-term archiving on: : Friday, September 10, 2010 - 4:14:30 PM

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Georgia Feideropoulou. Codage Conjoint Source-Canal des Sources Vidéo. Traitement du signal et de l'image [eess.SP]. Télécom ParisTech, 2005. Français. ⟨pastel-00001294⟩

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