cient Transport of Real - time VBR Video over ATMvia Dynamic Bandwidth Allocation

This paper presents a novel approach to dynamic transmission bandwidth allocation for transport of real-time variable-bit-rate video in ATM networks. Describe video traac in the frequency domain: the low frequency signal captures the slow time-variation of consecutive scene changes; the high frequency signal exhibits the feature of strong frame autocorrelation. Our study indicates that the video transmission bandwidth in a nite-buuer system is essentially characterized by the low frequency signal. Since the time scale of scene changes is usually in the range of a second or longer, the low frequency video signal is deened in a well-founded low frequency band. Hence, it is feasible to implement dynamic allocation of video transmission bandwidth using on-line observation and prediction of scene changes. Two prediction schemes are examined: recursive least square method vs. time delay neural network method. A time delay neural network with low-complexity high-order architecture, called \Pi-Sigma Network", is successfully used to predict scene changes. The proposed dynamic allocation scheme is shown to be promising and practically feasible in obtaining eecient transmission of real-time video traac with guaranteed quality of services.