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Efficient video compression codebooks using SOM-based vector quantisation

Efficient video compression codebooks using SOM-based vector quantisation

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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.

http://iet.metastore.ingenta.com/content/journals/10.1049/ip-vis_20040195
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