Name
Abstract | ||
|---|---|---|
The Laplacian model is the standard distribution for correlation noise estimation at the turbodecoder in Wyner-Ziv coding schemes. In practice, this hypothesis is not always satisfied and, regularly, the estimated model sensibly differs from the error distribution. In this work, we prove that using a model better fitted to the true distribution improves the performances, and we thus propose to use the more general exponential power distribution (EPD) which has never been tested in a distributed video coding context. Gains in rate-distortion over the Laplacian model are illustrated by results on several video sequences, showing that the EPD model outperforms the Laplacian one in off-line (oracle) as well as in on-line (practical implementation) modes. These results also indicate that, in some cases, the online EPD model reduces the bitrate even over the off-line Laplacian model. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5496065 | Acoustics Speech and Signal Processing |
Keywords | Field | DocType |
exponential distribution,image sequences,power distribution,video coding,Laplacian model,WYNER ZIV video coding,correlation noise estimation,error distribution,exponential power distribution,exponential power model,offline mode,online mode,rate distortion,turbodecoder,video sequence,Generalized Gaussian,Laplacian model,Wyner Ziv,distributed video coding,side information | Mathematical optimization,Exponential function,Computer science,Oracle,Coding (social sciences),Exponential distribution,Estimation theory,Decoding methods,Encoding (memory),Laplace operator | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-4296-6 | 978-1-4244-4296-6 | 3 |
PageRank | References | Authors |
0.37 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Maugey | 1 | 271 | 31.16 |
| Jérôme Gauthier | 2 | 32 | 4.39 |
| Béatrice Pesquet-Popescu | 3 | 876 | 91.43 |
| Christine Guillemot | 4 | 1286 | 104.25 |