Quality Scalable Video Coding Algorithm Based on Pattern Recognition

Abstract

A novel quality scalable video coding algorithm based on pattern recognition was proposed in this paper. The self-organizing map (SOM) was used for scalable video coding. A coarse pattern library and two fine pattern libraries were designed for the base layer coding and the enhancement layer coding, respectively. Experimental results show that the peak signal to noise ratio (PSNR) improvement of reconstructed video images is 1.06dB when the compression ratio is 100:1.