Joint source-channel coding for scalable video

Lisimachos P. Kondi; Faisal Ishtiaq; Aggelos K. Katsaggelos

doi:10.1117/12.382965

19 April 2000 Joint source-channel coding for scalable video

Lisimachos P. Kondi, Faisal Ishtiaq, Aggelos K. Katsaggelos

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.382965
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

An approach towards joint source-channel coding for wireless video transmission at low bit rates is proposed. An SNR scalable video coder is used and a different amount of error protection is allowed for each scalable layer. Our problem is to allocate the available bit rate across scalable layers and, within each layer, between source and channel coding, while minimizing the end-to-end distortion of the received video sequence. The distortion is due to both source coding (quantization) errors and channel noise errors, and is measured in terms of the Mean Squared Error (MSE). The optimization algorithm utilizes rate-distortion characteristic plots. These plots show the contribution of each layer to the total distortion as a function of the source rate of the layer and the residual bit error rate (the error rate that remains after the use of channel coding). The plots are obtained experimentally using representative video sequences and show the sensitivity of the source encoder and decoder to channel errors. Our algorithm is operationally optimal given the rate- distortion characteristic plots. These plots are used in conjunction with plots that show the bit error rate achieved by the allowable channel coding schemes for given channel conditions in order to obtain the operational rate-distortion curve of each layer. Then, dependent Lagrangian optimization is used to determine the overall bit allocation across all layers.

Citation Download Citation

Lisimachos P. Kondi, Faisal Ishtiaq, and Aggelos K. Katsaggelos "Joint source-channel coding for scalable video", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.382965

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