Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/44428

Title

Neural networks for adaptive image sequence vector quantisation

Author(s)

Andrew, Lachlan L. H.

Abstract

This paper studies some properties of a recently proposed adaptive VQ scheme based on a neural network approach. The scheme is distinctive in that it does not require a separate channel to transmit adaptation information. Its application to two systems, subband image coding and image vector quantisation for transmission over a noisy channel, is investigated, and some theoretical issues are discussed.

Publication type

Conference paper

Source

Proceedings of the International Picture Coding Symposium (PCS'96), Melbourne, Victoria, Australia, 13-15 March 1996, pp. 569-573

Publication year

1996

Keyword(s)

Neural networks;  Noise;  Vector quantisation;  VQ

Publisher

Picture Coding Symposium

ISBN

0732606535

Publisher URL

http://netlab.caltech.edu/lachlan/LApapers.php

Peer reviewed