Projective residual vector quantization and mapped residual pooling

Authors:
R. P. Thomas;T. K. Moon
Affiliations:
Nichols Res. Corp., Lexington, MA, USA;-
Venue:
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Year:
2000

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Contravariant adaptation on structured matrix spaces

Signal Processing

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Abstract

This paper points out two potential problems with residual vector quantization (RVQ): tree entanglement and non-projectiveness of the quantizer. The use of a boundary normalization mapping is proposed to pool all quantization residuals at a stage into identically-shaped regions, reducing or eliminating entanglement. Also, a reconstruction codebook is proposed to eliminate the non-projectiveness is proposed. Results are presented on both random and image data.