Efficient video compression codebooks using SOM-based vector quantisation
Published in IEE Proceedings - Vision Image and Signal Processing • Jan 1, 2004
NobleIDNI1P28W95R91S92
Authors:,
K.L. Ferguson
N.M. Allinson
Abstract
A new rate-constrained self-organising map (SOM) learning algorithm, incorporating a noise-mixing model, is presented as a vector quantiser for very low bit-rate video codecs. A SOM-based approach will exhibit a higher resilience against local minima under low resolution conditions. Practical implem...
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