Paper Info
Title
Designing and implementing a scalable video-streaming system using an adaptive control scheme
Abstract
Designing a real-time video-streaming system involves the challenges of, network congestion and bandwidth fluctuations, lowering the video quality. In this paper, a realtime video-streaming system is designed and implemented for scalable video coding (SVC) with an adaptive control scheme, containing macro- and micro-control, to resolve the bandwidth fluctuation and network congestion. Under macro-control, the server allocates appropriated video-streaming of SVC for heterogeneous clients based on terminal capacity and network conditions. Under micro-control, the server changes the video frame rate based on video bit rates and network bandwidth. The streaming system with the adaptive control scheme is implemented to improve the peak signal noise ratio (PSNR) by 4.01 % to 10.89 % of the Foreman and Stefan videos.
Year
DOI
Venue
2012
10.1109/TCE.2012.6415001
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
svc,network congestion,congestion control,macrocontrol,video quality,h.264/svc,rate control,real-time video streaming system,heterogeneous clients,video bit rates,bandwidth fluctuations,foreman-stefan videos,scalable video coding,microcontrol,adaptive control,video coding,adaptive control scheme,peak signal noise ratio,terminal capacity,network bandwidth,bandwidthadaptive,video streaming,video frame rate,scalable video streaming system,scalability,servers,bandwidth
Computer science,Signal-to-noise ratio,Computer network,Multiview Video Coding,Real-time computing,Bandwidth (signal processing),Network congestion,Frame rate,Adaptive control,Video quality,Scalable Video Coding
Journal
Volume
Issue
ISSN
58
4
0098-3063
Citations 
PageRank 
References 
4
0.44
0
Authors
4
Name
Order
Citations
PageRank
Yi-Mao Hsiao1355.62
Chia-Hsiang Chen2164.68
Jeng-Farn Lee3777.43
Yuan-Sun Chu410021.69