Intelligent prediction and smoothing of video flow for multimedia communication

A principal challenge in supporting real-time video services over ATM is the need to provide synchronous playout in the face of stochastic end-to-end networks delays. An intelligent traffic smoothing mechanism (ITSM) is proposed to meet the continuity requirement which is composed of a backpropagation neural network (BPNN) traffic predictor, a playout buffer, and a fuzzy neural network (FNN) based playout rate determinator. Simulation results show that ITSM achieves high continuity with accepted delay.