Intelligent video smoother for multimedia communications

Maria C. Yuang*, Po-Lung Tien

*Corresponding author for this work

研究成果: Paper同行評審

摘要

Multimedia communications often require intra-media synchronization for video data to prevent potential playout discontinuity resulting from network delay variation while still achieving satisfactory playout throughput. In this paper, we propose a neural-network-based intra-video synchronization mechanism, called Intelligent Video Smoother (IVS), operating at the application layer of the receiving end system. IVS is composed of a Neural Network (NN) Traffic Predictor, an NN Window Determinator, and a window-based playout smoothing algorithm. The NN Traffic Predictor employs an on-line-trained Back Propagation Neural Network (BPNN) to periodically predict the characteristics of traffic modelled by a generic Interrupted Bernoulli Process (IBP) over a future fixed time period. With the predicted traffic characteristics, the NN Window Determinator determines the corresponding optimal window by means of an off-line-trained BPNN in an effort to achieve a maximum of the playout Quality (Q) value. The window-based playout smoothing algorithm then dynamically adopts various playout rates according to the window and the number of packets in the buffer. Finally, we show via simulation results that, compared to two other playout approaches, IVS achieves high-throughput and low-discontinuity playout under a mixture of lBP arrivals.

原文English
頁面502-507
頁數6
DOIs
出版狀態Published - 十二月 1996
事件Proceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4) - London, UK
持續時間: 18 十一月 199622 十一月 1996

Conference

ConferenceProceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4)
城市London, UK
期間18/11/9622/11/96

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