標題: Intra-media synchronization for multimedia communications
作者: Yuang, MC
Tien, PL
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
公開日期: 1994
摘要: Multimedia communications require intra-media 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-based intra-media synchronization mechanism, called Neural Network Smoother (NNS). NNS 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 future 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. According to the window, the window-based playout smoothing algorithm then dynamically adopts various playout rates. Compared to two other playout approaches, simulation results show that NNS achieves high-throughput and low-discontinuity playout under a variety of traffic arrivals.
URI: http://hdl.handle.net/11536/20215
ISBN: 0-7803-3104-4
期刊: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT'96)
起始頁: 480
結束頁: 484
Appears in Collections:Conferences Paper