Very low bit-rate video coding using cellular neural network universal machine

A method of video coding for very low bit-rate channels, which is implement ed using cellular neural network universal machine, is presented in the fol lowing paper. The presented method combines elements of a standard approach to video coding with elements of second-generation video-coding techniques . Inter-frame coding is performed using standard block-based motion estimat ion procedure, while intra-frame coding is based on vector quantization app roach. To satisfy constraints imposed by very low bit-rate channel. through put, a number of bytes that were considered to be used for representing vid eo sequence frames, was assumed to be less than 200. Simulations of the alg orithm execution, based on actual CNN UM chip parameter values, show feasib ility of using the proposed method for real-time implementation of very low bit-rate video coding. Copyright (C) 1999 John Wiley & Sons, Ltd.