TY - JOUR T1 - A Neural Network Approach for Predicting Network Resource Requirements in Video Transmission Systems JF - Proc. IEEE Pacific RIM Conference on Multimedia, Sydney, Australia Y1 - 2000 A1 - Wong,H.S. A1 - Wu,M. A1 - Joyce,R.A. A1 - Guan,L. A1 - Kung, S.Y. AB - Dynamic resource allocation is important for ensuring ef-ficient network utilization in Internet-based multimedia content delivery system. To allow accurate network traf- fic prediction in the case of video delivery, relevant infor- mation based on video contents and the short term traffic pattern has to be taken into account, while the inclusion of non-relevant features will deterioriate the prediction per- formance due to the "curse of dimensionality" problem. In this work, we propose a neural network-based predic- tion system and specifically address the determination of relevant input features for the system. Experiments have shown that the current system is capable of identifying a highly relevant subset of features for traffic prediction given a large number of video content and short-term net- work traffic descriptors. ER -