Statistical Analysis of Video Frame Size Distribution Originating from Scalable Video Codec (SVC)
Designing an effective and high performance network requires an accurate characterization and modeling of network traffic.The modeling of video frame sizes is normally applied in simulation studies and mathematical analysis and generating streams for testing and compliance purposes. Besides, video...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2017
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| Subjects: | |
| Online Access: | http://eprints.usm.my/37223/ http://eprints.usm.my/37223/1/%28Statistical_Analysis_of_Video%29_8098574.pdf |
| Summary: | Designing an effective and high performance network requires an accurate characterization and modeling of network traffic.The
modeling of video frame sizes is normally applied in simulation studies and mathematical analysis and generating streams for
testing and compliance purposes. Besides, video traffic assumed as a major source of multimedia traffic in future heterogeneous
network. Therefore, the statistical distribution of video data can be used as the inputs for performance modeling of networks. The
finding of this paper comprises the theoretical definition of distribution which seems to be relevant to the video trace in terms of
its statistical properties and finds the best distribution using both the graphical method and the hypothesis test.The data set used
in this article consists of layered video traces generating from Scalable Video Codec (SVC) video compression technique of three
different movies. |
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