A new SOLPN-based rate control algorithm for MPEG video coding

Abstract

A new SOLPN (self-organizing learning Petri net)-based rate control algorithm for an MPEG encoder is proposed. The idea is to use SOLPN to realize the RD (rate distortion) model, which is self-organized on line and adaptively updated frame by frame. The method does not require off-line pre-training; hence it is geared toward real-time coding. The comparative results on the examples suggest that our proposed rate control schemes encode video sequences with fewer frame skips, providing good subjective quality and higher PSNR, compared to VM18.