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