A new SOLPN-based rate control algorithm for MPEG video coding

Author

Zhang, Zhi-Ming ; Chang, Seung-Gi ; Park, Jeong-Hoon ; Kim, Yong-Je

Author_Institution

Digital Media Labs., Samsung Electron. Co. Ltd., Suwon, South Korea

fYear

2002

fDate

2002

Firstpage

577

Lastpage

586

Abstract

A new SOLPN (self-organizing learning Petri net)-based rate control algorithm for an MPEG encoder is proposed. The idea is to use SOLPN to realize the RD (rate distortion) model, which is self-organized on line and adaptively updated frame by frame. The method does not require off-line pre-training; hence it is geared toward real-time coding. The comparative results on the examples suggest that our proposed rate control schemes encode video sequences with fewer frame skips, providing good subjective quality and higher PSNR, compared to VM18.

Keywords

Petri nets; adaptive signal processing; data compression; image sequences; learning (artificial intelligence); rate distortion theory; self-organising feature maps; video coding; visual communication; MPEG video coding; PSNR; VM18; rate control algorithm; rate distortion; real-time coding; self-organizing feature map; self-organizing learning Petri net; video sequences; Cities and towns; Communication system control; Computational intelligence; Delay estimation; Image coding; Impedance matching; PSNR; Rate-distortion; Video coding; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing, 2002. Proceedings of the 2002 12th IEEE Workshop on

Print_ISBN

0-7803-7616-1

Type

conf

DOI

10.1109/NNSP.2002.1030069

Filename

1030069