DocumentCode
1359220
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
Volume
36
Issue
12
fYear
2000
fDate
6/8/2000 12:00:00 AM
Firstpage
1041
Lastpage
1042
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;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20000777
Filename
852189
Link To Document