Name
Abstract | ||
|---|---|---|
In this paper, we propose to improve the performance of the rate-control mechanism in video encoders by adaptively adjusting the Lagrange multiplier $\\lambda $ based on the stochastic subgradient method. Using this $\\lambda $ value for each coding unit, the quantization parameter (QP) is sought in the process of rate–distortion optimization (RDO). A log-linear model can be utilized to predict the most probable QP and accordingly narrow the search range. The generated bit number is used to update the $\\lambda $ value for the next coding unit. The extensive experimental results show that the proposed rate-control mechanism significantly enhances the rate-distortion performance compared with the H.264/AVC (Advanced Video Coding) reference software. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCSVT.2015.2501921 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
Encoding,Quantization (signal),Distortion,Rate-distortion,Software,Adaptation models,Stochastic processes | Subgradient method,Control theory,Computer science,Lagrange multiplier,Coding (social sciences),Artificial intelligence,Pattern recognition,Coding tree unit,Algorithm,Bit numbering,Encoder,Quantization (signal processing),Lambda | Journal |
Volume | Issue | ISSN |
26 | 11 | 1051-8215 |
Citations | PageRank | References |
3 | 0.38 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-Hung Kuo | 1 | 86 | 14.77 |
| Yi-Liang Shih | 2 | 3 | 0.38 |
| Ssu-Chieh Yang | 3 | 3 | 0.72 |