Efficient video compression codebooks using SOM-based vector quantisation

Ferguson, K. L. and Allinson, Nigel (2004) Efficient video compression codebooks using SOM-based vector quantisation. IEE Proceedings: Vision, Image and Signal Processing, 151 (2). pp. 102-108. ISSN 1350-245X

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Item Type:Article
Item Status:Live Archive

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 implementation details and results are also described.

Keywords:Computational complexity, Computer simulation, Constraint theory, Cosine transforms, Image quality, Learning algorithms, Parameter estimation, Self organizing maps, Vector quantization, Discrete cosine transform, Image resolution, Noise mixing model, Video compression codebooks, Image coding
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:8567
Deposited On:03 Apr 2013 16:17

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