Statistical analysis of video frame size distribution originating from scalable video codec (SVC)
type: Item
instance of: scholarly article
title: Statistical analysis of video frame size distribution originating from scalable video codec (SVC)
zbMATH Open document ID: 1367.90017
DOI: 10.1155/2017/8098574
author: Sima Ahmadpour
author: Tat-Chee Wan
author: Zohreh Toghrayee
author: Fariba HematiGazafi
published in: Complexity
publication date: 2017-08-03T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 90B18
Mathematics Subject Classification ID: 90B15
zbMATH DE Number: 6756000
zbMATH Keywords: high performance network
zbMATH Keywords: network traffic
zbMATH Keywords: video traffic
zbMATH Keywords: multimedia traffic
zbMATH Keywords: future heterogeneous network
zbMATH Keywords: statistical properties
Wikidata QID: Q59142949
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/8098574
OpenAlex ID: W2597267712
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description: scientific article; zbMATH DE number 6756000