Advances in residual vector quantization (RVQ) are surveyed. Definitions of joint encoder
optimality and joint decoder optimality are discussed. Design techniques for RVQs with large …

Necessary conditions for the optimality of variable-rate residual vector quantizers are
derived, and an iterative descent algorithm based on a Lagrangian formulation is introduced …

The authors introduce a novel variable-rate residual vector quantizer (RVQ) where the
source entropy is exploited. Necessary conditions for the optimality of this RVQ are …

An entropy-constrained residual vector quantization design algorithm is used to design
codebooks for image coding. Entropy-constrained residual vector quantization has several …

Interest in low bit rate image compression is being stimulated by a variety of application
areas in which acquisition, transmission, and storage demands are on the rise. Subband …

This paper introduces a new class of vector quantizers (VQs), called finite-state residual
vector quantizers (FS-RVQs), and discusses their application to image compression. FS …

Quantization methods have been introduced to perform large scale approximate nearest
search tasks. Residual Vector Quantization (RVQ) is one of the effective quantization …

The encoding procedure for multistage residual vector quantizers consists of searching a
tree to find the codeword that best matches the input. Many techniques have been proposed …

Multiple path searching can provide varying degrees of joint search optimization of residual
vector quantizer encoder stages. A short coming of the conventional multiple path M-search …

Visual signals, even more than audio signals, typically contain an exorbitant amount of
information. It is not uncommon for the visual component of a motion picture or television …