Name
Title | ||
|---|---|---|
Analytical mode-dependent rate and distortion models for H.264/SVC coarse grain scalability |
Abstract | ||
|---|---|---|
This paper presents analytical rate and distortion models to estimate the rate-distortion (R-D) behavior of different coding modes for H.264/SVC coarse grain scalability (CGS) by jointly considering the effects of quantization, motion-compensated prediction, and motion partitioning structures. Based on the forward channel model and two statistical signal models, we first derive a pair of mode-dependent rate and distortion models for coding modes in base layer. Then these models are extended to account for the coding modes with inter-layer residual prediction in enhancement layer, especially for CGS. Preliminary results show that the proposed rate and distortion models for both layers have the potentiality to estimate the R-D behavior of real data. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISCAS.2012.6271644 | ISCAS |
Keywords | Field | DocType |
encoding,rate distortion theory,data models,quantization | Residual,Data modeling,Electronic engineering,Coding (social sciences),Quantization (signal processing),Rate–distortion theory,Distortion,Mathematics,Scalability,Encoding (memory) | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4673-0218-0 | 1 |
PageRank | References | Authors |
0.36 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chung-Hao Wu | 1 | 10 | 2.16 |
| Yu-Chen Tseng | 2 | 7 | 1.46 |
| Wen-Hsiao Peng | 3 | 209 | 33.15 |