What does R-D stand for?

Improved Target Bit Allocation and Rate Distortion Model 3.

For lossy compression the rate distortion performance was compared by means of the signal-to-noise (SNR) values for a variety of bit rates in bits per pixel per band (bpppb), and for lossless compression performance we used those rates to evaluate the size of the compressed data streams.

Areas discussed include low-memory adaptive prefix coding, optimization of correlated source coding for event-based monitoring in sensor networks, analysis on rate distortion performance of compressive sensing for binary sparse sources, and tree histogram coding for mobile image matching.

New spatio-temporal adaptive rate control and an enhanced rate distortion optimization algorithm deliver significant performance improvements at the low bit rates used for Mobile TV.

Topics of representative session papers include a source coding theory for sets, new lower and upper bounds on the expected length of optical one-to-one codes, efficient quantizer designs for robust distributed source coding and a practical approach to joint network-source coding, optical prefix codes for some families of two-dimensional geometric distributions, fast compression of scientific floating-point data without loss, low density codes that achieve the rate distortion bound, compression by the suffix tree, vector quantization with model selection, optical index assignment for multiple description of lattice vector quantization, a fast and low complexity image condec based on the backward coding of wavelet trees and a methods of making the correct mistakes.

New High-Quality Estimation Modes -- Improves overall visual quality through a new rate distortion algorithm.

thesis in Image Processing, Rate Distortion Theory.