scholarly journals Side information improvement in transform-domain distributed video coding

2012 ◽  
Author(s):  
A. Abou-Elailah ◽  
G. Petrazzuoli ◽  
J. Farah ◽  
M. Cagnazzo ◽  
B. Pesquet-Popescu ◽  
...  
Keyword(s):  
Video Coding ◽  
Side Information ◽  
Distributed Video Coding ◽  
Transform Domain

scholarly journals Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding

Entropy ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. 1427
Author(s):  
Wei Wang ◽  
Jianhua Chen
Keyword(s):  
Video Coding ◽  
Side Information ◽  
Coefficient Matrix ◽  
Distributed Video Coding ◽  
Transform Domain ◽  
Entropy Coding ◽  
Coding System ◽  
Optical Flow Method ◽  
Information Generation

In order to effectively improve the quality of side information in distributed video coding, we propose a side information generation scheme based on a coefficient matrix improvement model. The discrete cosine transform coefficient bands of the Wyner–Ziv frame at the encoder side are divided into entropy coding coefficient bands and distributed video coding coefficient bands, and then the coefficients of entropy coding coefficient bands are sampled, which are divided into sampled coefficients and unsampled coefficients. For sampled coefficients, an adaptive arithmetic encoder is used for lossless compression. For unsampled coefficients and the coefficients of distributed video coding coefficient bands, the low density parity check accumulate encoder is used to calculate the parity bits, which are stored in the buffer and transmitted in small amount upon decoder request. At the decoder side, the optical flow method is used to generate the initial side information, and the initial side information is improved according to the sampled coefficients by using the coefficient matrix improvement model. The experimental results demonstrate that the proposed side information generation scheme based on the coefficient matrix improvement model can effectively improve the quality of side information, and the quality of the generated side information is improved by about 0.2–0.4 dB, thereby improving the overall performance of the distributed video coding system.

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
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