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EURASIP Journal on Image and Video Processing
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Joint Source-Channel Coding for Wavelet-Based Scalable Video Transmission Using an Adaptive Turbo Code

EURASIP Journal on Image and Video Processing volume 2007, Article number: 047517 (2007) Cite this article

Abstract

An efficient approach for joint source and channel coding is presented. The proposed approach exploits the joint optimization of a wavelet-based scalable video coding framework and a forward error correction method based on turbo codes. The scheme minimizes the reconstructed video distortion at the decoder subject to a constraint on the overall transmission bitrate budget. The minimization is achieved by exploiting the source rate distortion characteristics and the statistics of the available codes. Here, the critical problem of estimating the bit error rate probability in error-prone applications is discussed. Aiming at improving the overall performance of the underlying joint source-channel coding, the combination of the packet size, interleaver, and channel coding rate is optimized using Lagrangian optimization. Experimental results show that the proposed approach outperforms conventional forward error correction techniques at all bit error rates. It also significantly improves the performance of end-to-end scalable video transmission at all channel bit rates.

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Authors and Affiliations

  1. Electronic Engineering Department, Queen Mary University of London, Mile End Road, London, E1 4NS, UK

    Naeem Ramzan, Shuai Wan & Ebroul Izquierdo

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  1. Naeem Ramzan
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  2. Shuai Wan
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  3. Ebroul Izquierdo
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Correspondence to Naeem Ramzan.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Ramzan, N., Wan, S. & Izquierdo, E. Joint Source-Channel Coding for Wavelet-Based Scalable Video Transmission Using an Adaptive Turbo Code. J Image Video Proc 2007, 047517 (2007). https://doi.org/10.1155/2007/47517

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