Title :
Rate control algorithm using SOFM-based neural classifier [MPEG encoders]
Author :
Park, Gwang Hoon ; Lee, Yoon Jin
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
fDate :
6/8/2000 12:00:00 AM
Abstract :
A neural-net based rate control algorithm for MPEG encoders is introduced. It is based on the global rate-distortion model constructed by a self-organising feature map. The performances of the proposed algorithm are better than those for MPEG-4 VM5+ frame-based rate control, based on the criteria of the average number of bits per frame and PSNR
Keywords :
code standards; data compression; image sequences; pattern classification; rate distortion theory; self-organising feature maps; telecommunication computing; video coding; MPEG encoders; SOFM-based neural classifier; global rate-distortion model; neural-net based rate control algorithm; rate control algorithm; self-organising feature map;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20000777
