Joint source-channel coding of scalable video with partially coded index assignment using Reed-Muller codes

Joint source-channel coding of scalable video using motion-compensated temporal filtering is considered. The proposed coding scheme consists of a structured vector quantizer based on lattice constellations and a linear index assignment which minimizes simultaneously the channel and source distortions. Both uncoded linear index assignment as well as partially coded linear index assignment via Reed-Muller codes are considered. The proposed system is compared to an unstructured quantizer with minimax index assignment. Simulation results indicate that, for a Gaussian channel, the structured-codebook scheme is very robust, maintaining nearnoiseless performance even when the channel is very noisy. Additionally, the proposed structured-quantizer scheme outperforms its unstructured counterpart when channel noise levels are high. This work was funded in part by the French Centre National de la Recherche Scientique and by the US National Science Foundation under Grant No. CCR-0310864.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: G. Feideropoulou, Joseph E. Fowler, Béatrice Pesquet-Popescu, Jean-Claude Belfiore
• Keywords: ICIP 2005, Image Processing, Index Assignment, Joint Source-channel Coding