Fast Stereo Video Coding Based on C-Means Fuzzy Hopfield Neural Network and AVS

Abstract

A fast stereo video coding method based-on C-Means Fuzzy Hopfield neural network and AVS (Audio and Video coding Standard) is presented in this paper. In the system, an AVS encoder encodes the left-view sequence. For the right-view sequence, combined predictions from the temporal or disparity domains are exploited, with a hierarchical two-stage neural classifier for fast mode decision. Experiment results show that our method can achieve up to 30% of time savings with nearly ignored quality degradation and only 7% of bit-rate increase.