標題: Intelligent video smoother for multimedia communications
作者: Yuang, MC
Tien, PL
Liang, ST
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: back-propagation neural network (BPNN);interrupted Bernoulli process (DBP);intramedia synchronization;multimedia communications;network delay variation
公開日期: 1-二月-1997
摘要: Multimedia communications often require intramedia synchronization for video data to prevent potential playout discontinuity resulting from network delay variation (jitter) while still achieving satisfactory playout throughput. In this paper, we propose a neural network (NN) based intravideo synchronization mechanism, called the intelligent video smoother (IVS), operating at the application layer of the receiving end system. The IVS is composed of an NN traffic predictor, an NN window determinator, and a window-based play out smoothing algorithm, The NN traffic predictor employs an on-line-trained back-propagation neural network (BPNN) to periodically predict the characteristics of traffic modeled 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 that via simulation results and live video scenes, compared to two other playout approaches, IVS achieves high-throughput and low-discontinuity playout under a mixture of IBP arrivals.
URI: http://dx.doi.org/10.1109/49.552064
http://hdl.handle.net/11536/755
ISSN: 0733-8716
DOI: 10.1109/49.552064
期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume: 15
Issue: 2
起始頁: 136
結束頁: 146
顯示於類別:期刊論文


文件中的檔案:

  1. A1997WE51800002.pdf