Rate-Distortion Analysis of Dead-Zone Plus Uniform Threshold Scalar Quantization and Its Application—Part II: Two-Pass VBR Coding for H.264/AVC

2013 ◽  
Vol 22 (1) ◽  
pp. 215-228 ◽  
Author(s):  
Jun Sun ◽  
Yizhou Duan ◽  
Jiangtao Li ◽  
Jiaying Liu ◽  
Zongming Guo
Keyword(s):  
Dead Zone ◽  
Rate Distortion ◽  
Scalar Quantization ◽  
Distortion Analysis

Rate distortion analysis of layered video coding by leaky prediction

2004 ◽  
Author(s):  
Yuxin Liu ◽  
Paul Salama ◽  
Gregory W. Cook ◽  
Edward J. Delp III
Keyword(s):  
Video Coding ◽  
Rate Distortion ◽  
Distortion Analysis ◽  
Layered Video ◽  
Layered Video Coding

Rate-Distortion Analysis of Directional Wavelets

2012 ◽  
Vol 21 (2) ◽  
pp. 588-600 ◽  
Author(s):  
A. Maleki ◽  
B. Rajaei ◽  
H. R. Pourreza
Keyword(s):  
Rate Distortion ◽  
Distortion Analysis ◽  
Directional Wavelets

scholarly journals Asymptotic Rate-Distortion Analysis of Symmetric Remote Gaussian Source Coding: Centralized Encoding vs. Distributed Encoding

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 213 ◽  
Author(s):  
Yizhong Wang ◽  
Li Xie ◽  
Siyao Zhou ◽  
Mengzhen Wang ◽  
Jun Chen
Keyword(s):  
Mean Squared Error ◽  
Source Coding ◽  
Rate Distortion ◽  
Asymptotic Rate ◽  
Squared Error ◽  
Simple Characterization ◽  
Distortion Functions ◽  
Distortion Analysis ◽  
Gaussian Source ◽  
Multivariate Gaussian

Consider a symmetric multivariate Gaussian source with ℓ components, which are corrupted by independent and identically distributed Gaussian noises; these noisy components are compressed at a certain rate, and the compressed version is leveraged to reconstruct the source subject to a mean squared error distortion constraint. The rate-distortion analysis is performed for two scenarios: centralized encoding (where the noisy source components are jointly compressed) and distributed encoding (where the noisy source components are separately compressed). It is shown, among other things, that the gap between the rate-distortion functions associated with these two scenarios admits a simple characterization in the large ℓ limit.

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