|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
A Pixel-Level Rate Control Algorithm for the Optimal Prediction Residual
Darmstadt, Germany
October 15-October 17
ISBN: 978-0-7695-4222-5
| ASCII Text | x | ||
| Hongwei Li, Song Xiao, Chengke Wu, Yuli Feng, "A Pixel-Level Rate Control Algorithm for the Optimal Prediction Residual," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 603-606, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/IIHMSP.2010.153, author = {Hongwei Li and Song Xiao and Chengke Wu and Yuli Feng}, title = {A Pixel-Level Rate Control Algorithm for the Optimal Prediction Residual}, journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4222-5}, pages = {603-606}, doi = {http://doi.ieeecomputersociety.org/10.1109/IIHMSP.2010.153}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on TI - A Pixel-Level Rate Control Algorithm for the Optimal Prediction Residual SN - 978-0-7695-4222-5 SP603 EP606 A1 - Hongwei Li, A1 - Song Xiao, A1 - Chengke Wu, A1 - Yuli Feng, PY - 2010 KW - pixel-level KW - rate control KW - prediction residual KW - slope coefficient VL - 0 JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on ER - | |||
In order to further improve the performance of rate control in H.264, a pixel-level rate control algorithm for the optimal prediction residual is proposed. Firstly, this proposed algorithm determines whether discrete cosine transform (DCT) should be applied to the macro block according to the simple rate distortion optimization (RDO) mode. Then quantization parameter (QP) is determined through a new binary target bits allocation model and the slope coefficient is calculated through the slope weighted average in the macro block. Finally the quantization matrix determined by QP and the slope coefficient is applied in coding of the macro block. Simulation results show that, compared with rate control algorithm of basic unit in H.264, the proposed algorithm could increases peak signal noise ratio (PSNR) greatly and controls bit rate more accurately.
Index Terms:
pixel-level, rate control, prediction residual, slope coefficient
Citation:
Hongwei Li, Song Xiao, Chengke Wu, Yuli Feng, "A Pixel-Level Rate Control Algorithm for the Optimal Prediction Residual," iih-msp, pp.603-606, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2010
Usage of this product signifies your acceptance of the Terms of Use.