DocumentCode :
1648671
Title :
Real-Time Scheduling for Scalable Video Coding Streaming System
Author :
Kui Gao ; Jiefu Zhai ; Jiansong Li ; Wang, C.
Author_Institution :
Thomson Broadband R&D (Beijing) Co., Beijing
fYear :
2006
Firstpage :
1
Lastpage :
4
Abstract :
Scalable Video Coding (SVC) streams provide a layered representation for transmitting media contents over a channel with packet losses and variable delay. In general, real-time scalable streaming media to audience has timing constraints, and different layers in a bitstream have different importance to the playback quality reconstructed in client. In this paper, we propose a Scalable Real-Time Scheduling (SRTS) algorithm, which decides how to transmit/re-transmit video packets at any given time for delivery of scalable streaming media over a lossy channel. Besides real-time constraint, unequal priorities of scalable source bitstream in different layers are taken into account in the proposed algorithm. This guarantees the better usage of available bandwidth and the smoother playback. Simulated results show that, with the proposed approach, the playback quality has a greatly improvement.
Keywords :
bandwidth compression; scheduling; telecommunication channels; video coding; video streaming; available bandwidth; media contents; packet losses; playback quality; scalable real-time scheduling; scalable video coding streaming system; variable delay; video packets; Bandwidth; Delay; Real time systems; Scalability; Scheduling; Spatial resolution; Static VAr compensators; Streaming media; Video coding; Video sequences; Real-Time Scheduling; Scalable Video Coding (SVC); Streaming System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2006 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-0002-7
Type :
conf
DOI :
10.1109/SARNOF.2006.4534756
Filename :
4534756
Link To Document :
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