Analysis of laplacian distribution model for virtual channel in distributed video coding

2012 ◽  
Author(s):  
Chun Yuan ◽  
Xiaoguang You ◽  
Sheng Fang
Keyword(s):  
Video Coding ◽  
Distributed Video Coding ◽  
Distribution Model ◽  
Virtual Channel ◽  
Laplacian Distribution

scholarly journals Distributed Video Coding for Video Communication on Mobile Devices and Sensors

2010 ◽  
pp. 375-402
Author(s):  
Peter Lambert ◽  
Stefaan Mys ◽  
Jozef Škorupa ◽  
Jürgen Slowack ◽  
Rik Van de Walle ◽  
...  
Keyword(s):  
Video Coding ◽  
Side Information ◽  
Building Blocks ◽  
Low Complexity ◽  
Distributed Video Coding ◽  
Channel Noise ◽  
Virtual Channel ◽  
Important Research ◽  
Coding Schemes ◽  
Information Generation

In the context of digital video coding, recent insights have led to a new video coding paradigm called Distributed Video Coding, or DVC, characterized by low-complexity encoding and high-complexity decoding, which is in contrast to traditional video coding schemes. This chapter provides a detailed overview of DVC by explaining the underlying principles and results from information theory and introduces a number of application scenarios. It also discusses the most important practical architectures that are currently available. One of these architectures is analyzed step-by-step to provide further details of the functional building blocks, including an analysis of the coding performance compared to traditional coding schemes. Next to this, it is demonstrated that the computational complexity in a video coding scheme can be shifted dynamically from the encoder to the decoder and vice versa by combining conventional and distributed video coding techniques. Lastly, this chapter discusses some currently important research topics of which it is expected that they can further enhance the performance of DVC, i.e., side information generation, virtual channel noise estimation, and new coding modes.

Hybrid Distributed Correlation Noise Model and Parameter Estimation

2015 ◽  
Vol 752-753 ◽  
pp. 1110-1115
Author(s):  
Rui Cai ◽  
Deng Yin Zhang
Keyword(s):  
Parameter Estimation ◽  
Video Coding ◽  
Side Information ◽  
Cauchy Distribution ◽  
Estimation Algorithm ◽  
Distributed Video Coding ◽  
Noise Model ◽  
Transform Domain ◽  
Laplacian Distribution ◽  
Correlation Noise

In transform domain distributed video coding scheme, we found that there was a certain deviation between Laplacian statistical distribution and the distribution of small and large residual coefficients. To reduce this deviation, this paper proposes a hybrid distribution correlation noise model (HDCNM) based on K-Mediods, which models small coefficients as improved Laplacian distribution while modeling large ones as Cauchy distribution. The parameter estimation algorithm is also given. The experimental results show that the hybrid model proposed in this paper can describe the distribution of residual coefficients between WZ frame and side information accurately, so as to improve the distortion performance of transform domain distributed video coding effectively, and reduce the computational complexity of decoder.

Transform Domain Unidirectional Distributed Video Coding Using Dynamic Parity Allocation

2009 ◽  
Vol E92-A (4) ◽  
pp. 1202-1208
Author(s):  
Murat B. BADEM ◽  
Anil FERNANDO ◽  
Rajitha WEERAKKODY ◽  
Hemantha K. ARACHCHI ◽  
Ahmet M. KONDOZ
Keyword(s):  
Video Coding ◽  
Distributed Video Coding ◽  
Transform Domain

Research of the Virtual Dependency Channel in Distributed Video Coding

2009 ◽  
Vol 32 (7) ◽  
pp. 1404-1412 ◽  
Author(s):  
Sheng FANG ◽  
Zhe LI ◽  
Yong-Quan LIANG ◽  
Yu-Zhuo ZHONG
Keyword(s):  
Video Coding ◽  
Distributed Video Coding

Review on Recent Patents in Distributed Video Coding

2008 ◽  
Vol 1 (2) ◽  
pp. 118-123
Author(s):  
Yong Fang ◽  
Jechang Jeong
Keyword(s):  
Video Coding ◽  
Distributed Video Coding
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