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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 near-noiseless performance even when the channel is very noisy. Additionally, the proposed structured-quantizer scheme outperforms its unstructured counterpart when channel noise levels are high.