Abstract
Wyner-Ziv (WZ) video coding - a particular case of distributed video coding (DVC) - is a new video coding paradigm based on two major Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. Most of the solutions available in the literature, model the correlation noise between the original frame and the so-called side information by virtual channel. However most of the DVC solutions in the literature assume Laplacian distribution as noise virtual channel model, in this study we perform three goodness-of-fit tests, the Kolmogorov- Smirnov test and the Chi-Square test and log-Likelihood test to study the nature of the virtual channel. The results show that a mixture of 3 (or 4) mixture Gaussian model can best describe this virtual channel.
| Original language | English |
|---|---|
| Pages (from-to) | 481-492 |
| Number of pages | 12 |
| Journal | Journal of Engineering Science and Technology |
| Volume | 6 |
| Issue number | 4 |
| Publication status | Published - Aug 2011 |
| Externally published | Yes |
Keywords
- Chi-square test
- Distributed video coding
- Ks test
- Log-likelihood ratio test
- Virtual channel model