MULTI-OBJECTIVE PERFORMANCE OPTIMIZATION OF H.264 AVC ENCODER

被引：0

作者：

Al-Abri, F. ^{[1
]}

Li, X. ^{[1
]}

Edirisinghe, E. A. ^{[1
]}

Grecos, C. ^{[2
]}

机构：

[1] Univ Loughborough, Dept Comp Sci, Loughborough, Leics, England

[2] Univ West Scotland, Sch Comp, Paisley, Renfrew, Scotland

来源：

2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 | 2009年

关键词：

Multi-objective optimization; Video coding; H.264; AVC;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose a multi-objective optimization framework based on genetic algorithms to enhance the performance of a video codec. The framework is designed to jointly minimize the complexity, memory usage in the encoder, bit rate and maximize the quality of the compressed video stream. In particular, the optimization framework is designed to determine the optimum coding parameters for the H.264 AVC video codec in a memory and bandwidth constrained environments. This was demonstrated through extensive experiments and mathematical formulation that resulted in the optimum solution for the optimization problem as the final outcome.

引用

页码：724 / +

页数：2

共 7 条

[1] A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K
Pratap, A
Agarwal, S
Meyarivan, T
[J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) : 182 - 197
[2] DEB K, NSGA2
[3] Deb K., 2010, MULTIOBJECTIVE OPTIM
[4] *I T U T S SECT, 2005, ITU T REC H 264 ADV, P14496
[5] LI X, 2007, THESIS LOUGHBOROUGH
[6] *SPSS INC, 2007, SPSS CAT 16 0 MAN GU
[7] Overview of the H.264/AVC video coding standard
Wiegand, T
Sullivan, GJ
Bjontegaard, G
Luthra, A
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2003, 13 (07) : 560 - 576

← 1 →