… We also describe how distortion is measured, and provide an overview on how analytic
rate-distortion models are derived. Section 4 presents and analyzes various analytic RD models, …

… First, we validate and model the distortion dependency and rate dependency. The rate
dependency … Unlike [43], which attributed the rate dependency to the reference rate, the proposed …

… effective rate control with a different approach. By modeling the relationships of distortion, …
, we found that our rate control scheme is capable of effective rate control with only a few …

… rate-distortion autoencoders.Here we will describe the specific models we use for encoder,
code model, and decoder, as well as the data format, preprocessing, and loss functions. …

… We take as our source model the fractional Brownian motion (fBm), which is often used to
model nonstationary behaviors in natural images. We first establish that the theoretical RD …

… This paper introduced and investigated the problem of rate-distortion modeling of multiscale
binary shape data. A probabilistic approach based on MRFs has been proposed. The …

… method is skipped when the distortion prediction equation is inserted on the rate model. …
The JM version provided four modes for rate control and we set mode 0. After rate distortion …

… comf required memory since it approxidistortion relations (one for each … distortion We show
how the model parameters experimental data. We also propose cheme which uses the model …

… rate-distortion (RD) models of FGS coders and shows how such models can be used in a
simple rate … Our simulation results show that the developed RD models provide fundamental …

… of RD models greatly affects the performance of Lagrangian RDO. In this section, rate and
distortion models and related in the literature are firstly reviewed. Then new RD models are …