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Segment-based traffic smoothing algorithm for VBR video stream
作者姓名:LIU  Yun-qiang  YU  Song-yu  WANG  Xiang-wen  ZHOU  Jun
作者单位:Institute of Image Communication and Information Processing,Shanghai Jiao Tong University,Shanghai 200030,China
基金项目:Project supported by the Hi-Tech Research and Development Pro-gram (863) of China (No. 2003AA103810) and the National NaturalScience Foundation of China (No. 60332030)
摘    要:INTRODUCTION Many emerging video applications, such as video-on-demand (VOD) and distance learning, rely on the efficient transfer of compressed video. For the same average bandwidth, variable bit rate (VBR) encoded video streams have higher perceivable qual- ity and greater opportunity for statistical multiplexing gains compared to constant bit rate (CBR) video streams (McManus and Ross, 1996). However, VBR video typically shows significant burstiness on mul- tiple time scales, due …

关 键 词:视频展宽  VBR  分裂  滤波
收稿时间:2005-01-16
修稿时间:2005-10-21

Segment-based traffic smoothing algorithm for VBR video stream
LIU Yun-qiang YU Song-yu WANG Xiang-wen ZHOU Jun.Segment-based traffic smoothing algorithm for VBR video stream[J].Journal of Zhejiang University Science,2006,7(4):543-548.
Authors:Yun-qiang Liu  Song-yu Yu  Xiang-wen Wang  Jun Zhou
Institution:(1) Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, 200030, China
Abstract:Transmission of variable bit rate (VBR) video, because of the burstiness of VBR video traffic, has high fluctuation in bandwidth requirement. Traffic smoothing algorithm is very efficient in reducing burstiness of the VBR video stream by trans- mitting data in a series of fixed rates. We propose in this paper a novel segment-based bandwidth allocation algorithm which dynamically adjusts the segmentation boundary and changes the transmission rate at the latest possible point so that the video segment will be extended as long as possible and the number of rate changes can be as small as possible while keeping the peak rate low. Simulation results showed that our approach has small bandwidth requirement, high bandwidth utilization and low computation cost.
Keywords:Segmentation  Traffic smoothing  Variable bit rate (VBR) video
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