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Joint source-channel coding/decoding of multimedia contents

Abstract : This thesis aims at proposing and implementing efficient joint source-channel coding and decoding schemes in order to enhance the robustness of multimedia contents transmitted over unreliable networks. In a first time, we propose to identify and exploit the residual redundancy left by wavelet video coders in the compressed bit streams. an efficient joint-source channel decoding scheme is proposed to detect and correct some of the transmission errors occurring during a noisy transmission. This technique is further applied to multiple description video streams transmitted over a mixed architecture consisting of a wired lossy part and a wireless noisy part. In a second time, we propose to use the structured redundancy deliberately introduced by multirate coding systems, such as oversampled filter banks, in order to perform a robust estimation of the input signals transmitted over noisy channels. Two efficient estimation approaches are proposed and compared. The first one exploits the linear dependencies between the output variables, jointly to the bounded quantization noise, in order to perform a consistent estmiation of the source outcome. The second approach uses the belief propagation algorithm to estimate the input signal via a message passing procedure along the graph representing the linear dependencies between the variables. These schemes ares then applied to estimate the input of an oversampled filter bank and their performance are compared.
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Submitted on : Wednesday, August 7, 2013 - 12:32:08 PM
Last modification on : Friday, July 31, 2020 - 10:44:06 AM


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  • HAL Id : pastel-00850566, version 1



Manel Abid. Joint source-channel coding/decoding of multimedia contents. Other. Télécom ParisTech, 2012. English. ⟨NNT : 2012ENST0056⟩. ⟨pastel-00850566⟩



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