Elements of information theory
Elements of information theory
3D scan-based wavelet transform and quality control for video coding
EURASIP Journal on Applied Signal Processing
Journal on Image and Video Processing
Multiple-description vector quantization with lattice codebooks: design and analysis
IEEE Transactions on Information Theory
Source-channel diversity for parallel channels
IEEE Transactions on Information Theory
Content adaptive network aware joint optimization of wireless video transmission
IEEE Communications Magazine
Multiple description video coding for scalable and robust transmission over IP
IEEE Transactions on Circuits and Systems for Video Technology
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The problem of efficient video transmission over noisy channels involves high compression rates and robustness to channel errors. In the framework of multiple description coding (MDC), we focus on the direct estimation of the source from two noisy descriptions, without trying to estimate the single descriptions. The challenge is to reconstruct a central signal with distortion as small as possible using the knowledge of the two noisy descriptions. We propose in this paper a maximum a posteriori (MAP) estimator for the decoding of the central description, using the knowledge of the probability density function (pdf) of the different subband descriptions. The balanced MDC scheme used for application is a scan-based wavelet transform video coding scheme, and includes an efficient bit allocation procedure that dispatches the source video redundancy between the different descriptions, depending on the characteristics of the channel. Simulation results show a good robustness of the proposed decoding scheme against transmission errors, with an improvement of 2 dB in PSNR compared to a maximum likelihood (ML) technique.