Data Compression Conference (2000)
Mar. 28, 2000 to Mar. 30, 2000
Jonathan A. Kelner , Bell Labs, Lucent Technologies
Vivek K Goyal , Bell Labs, Lucent Technologies
Jelena Kovacevic , Bell Labs, Lucent Technologies
Multiple description lattice vector quantization (MDLVQ) is a technique for two-channel multiple description coding. We observe that MDLVQ, in the form introduced by Servetto, Vaishampayan and Sloane in 1999, is inherently optimized for the central decoder; i.e., for a zero probability of a lost description. With a nonzero probability of description loss, performance is improved by modifying the encoding rule (using nearest neighbors with respect to “multiple description distance”) and by perturbing the lattice codebook. The perturbation maintains much symmetry and hence does not significantly affect encoding or decoding complexity. An extension to more than two descriptions with attractive decoding properties is outlined.
J. Kovacevic, J. A. Kelner and V. K. Goyal, "Multiple Description Lattice Vector Quantization: Variations and Extensions," Data Compression Conference(DCC), Snowbird, Utah, 2000, pp. 480.