Rate-Distortion Modeling for Efficient H.264/AVC Encoding

Author

Tu, Yu-Kuang ; Yang, Jar-Ferr ; Sun, Ming-Ting

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan

Volume

17

Issue

5

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

530

Lastpage

543

Abstract

The rate-distortion (R-D) optimization technique plays an important role in optimizing video encoders. Modeling the rate and distortion functions accurately in acceptable complexity helps to make the optimization more practical. In this paper, we propose a bit-rate estimation function and a distortion measure by modeling the transform coefficients with spatial-domain variance. Furthermore, with quantization-based thresholding to determine the number, the absolute sum, and the squared sum of transform coefficients, the simplified transform-domain R-D measurement is introduced. The proposed algorithms can reduce the computation complexity for the R-D optimized mode-decision by using the new cost function evolving from the simplified transform-domain R-D model. Based on the proposed estimations, a rate-control scheme in the macroblock layer is also proposed to improve the coding efficiency

Keywords

data compression; image segmentation; optimisation; rate distortion theory; transforms; video coding; H.264/AVC encoding; bit-rate estimation function; macroblock layer; quantization-based thresholding; rate-control scheme; rate-distortion modeling; spatial-domain variance; transform coefficients; video encoders; Automatic voltage control; Cost function; Distortion measurement; Encoding; Laboratories; Lagrangian functions; Quantization; Rate distortion theory; Rate-distortion; Sun; Bit-allocation; H.264/AVC; R-D optimization; mode decision; rate-control; rate-distortion (R-D) modeling;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/TCSVT.2007.894041

Filename

4162557