Title :
Designing and implementing a scalable video-streaming system using an adaptive control scheme
Author :
Yi-Mao Hsiao ; Chia-Hsiang Chen ; Jeng-Farn Lee ; Yuan-Sun Chu
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fDate :
11/1/2012 12:00:00 AM
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.
Keywords :
adaptive control; video coding; video streaming; Foreman-Stefan videos; SVC; adaptive control scheme; bandwidth fluctuations; heterogeneous clients; macrocontrol; microcontrol; network bandwidth; network congestion; peak signal noise ratio; real-time video streaming system; scalable video coding; scalable video streaming system; terminal capacity; video bit rates; video frame rate; video quality; Bandwidth; Bit rate; Scalability; Servers; Static VAr compensators; Streaming media; Video coding; H.264/SVC; bandwidthadaptive; congestion control; rate control;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2012.6415001