Title
Optimization scheduling of MPEG-4 FGS video coding stream under the feasible mandatory constraint
Abstract
MPEG-4 video coding stream with Fine Granularity Scalability (FGS) can be flexibly dropped by very fine granularity so as to adapt to the available network bandwidth. The MPEG-4 FGS model is similar to the imprecise computation model originally proposed in the real-time scheduling field. In both models, it is required that all the mandatory tasks be completely scheduled before their deadlines even in the worst case, which is called the feasible mandatory constraint. The problem is how to maximize the number of the scheduled tasks based on the importance of tasks and to satisfy the feasible mandatory constraint. We adapt the existing unit-time tasks scheduling algorithm to address the problem by using a weighted assignment scheme that adds constant weights to mandatory tasks. Under the feasible mandatory constraint, we prove that the proposed algorithm maximizes the total weights of the scheduled tasks, and all mandatory tasks are guaranteed to be completely scheduled before their deadlines. The experimental results show the performance of the video quality for our scheduling algorithm by the measurements of Peak Signal to Noise Ratio (PSNR).
Year
DOI
Venue
2009
10.1007/s11042-009-0279-7
Multimedia Tools Appl.
Keywords
Field
DocType
Real-time scheduling,Imprecise computation,Optimization,MPEG-4 FGS framework
Peak signal-to-noise ratio,Fair-share scheduling,Scheduling (computing),Computer science,Real-time computing,Bandwidth (signal processing),Dynamic priority scheduling,Video quality,MPEG-4,Scalability
Journal
Volume
Issue
ISSN
44
1
1380-7501
Citations 
PageRank 
References 
0
0.34
21
Authors
2
Name
Order
Citations
PageRank
Huey-Min Sun1155.79
Lihchyun Shu213017.32