DocumentCode :
3095641
Title :
A Pixel-Level Rate Control Algorithm for the Optimal Prediction Residual
Author :
Li, Hongwei ; Xiao, Song ; Wu, Chengke ; Feng, Yuli
Author_Institution :
ISN Nat. Key Lab., Xidian Univ., Xi´´an, China
fYear :
2010
fDate :
15-17 Oct. 2010
Firstpage :
603
Lastpage :
606
Abstract :
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.
Keywords :
data compression; discrete cosine transforms; quantisation (signal); video coding; DCT; H.264; binary target bits allocation model; discrete cosine transform; optimal prediction residual; pixel-level rate control algorithm; quantization matrix; quantization parameter; rate distortion optimization; video coding; Bit rate; Complexity theory; Discrete cosine transforms; Encoding; Pixel; Prediction algorithms; Quantization; pixel-level; prediction residual; rate control; slope coefficient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-8378-5
Electronic_ISBN :
978-0-7695-4222-5
Type :
conf
DOI :
10.1109/IIHMSP.2010.153
Filename :
5636253
Link To Document :
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