Multiple description vector quantization with a coarse lattice

TLDR: This work alters the encoding of multiple description lattice vector quantization technique to improve performance without a significant increase in complexity by replacing the fine lattice codebook with a nonlattice code book that respects many of the symmetries of the coarse lattice.

Abstract: A multiple description (MD) lattice vector quantization technique for two descriptions was previously introduced in which fine and coarse codebooks are both lattices. The encoding begins with quantization to the nearest point in the fine lattice. This encoding is an inherent optimization for the decoder that receives both descriptions; performance can be improved with little increase in complexity by considering all decoders in the initial encoding step. The altered encoding relies only on the symmetries of the coarse lattice. This allows us to further improve performance without a significant increase in complexity by replacing the fine lattice codebook with a nonlattice codebook that respects many of the symmetries of the coarse lattice. Examples constructed with the two-dimensional (2-D) hexagonal lattice demonstrate large improvement over time sharing between previously known quantizers.