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Rate control algorithm using SOFM-based neural classifier [MPEG encoders]

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2 Author(s)
Gwang Hoon Park ; Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea ; Yoon Jin Lee

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

Published in:

Electronics Letters  (Volume:36 ,  Issue: 12 )