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Efficient video compression codebooks using SOM-based vector quantisation

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2 Author(s)
Ferguson, K.L. ; Quay West Bus. Centre, Manchester, UK ; Allinson, N.M.

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 implementation details and results are also described.

Published in:

Vision, Image and Signal Processing, IEE Proceedings -  (Volume:151 ,  Issue: 2 )