Best fit models test for the virtual channel in distributed video coding
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 origin...
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| Main Authors: | , , |
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| 格式: | Citation Index Journal |
| 出版: |
School of Engineering. Taylor’s University
2011
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| 在线阅读: | http://eprints.utp.edu.my/6861/1/Vol_6_4_481_492_ELAMIN.pdf http://eprints.utp.edu.my/6861/ |
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| 总结: | 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. |
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