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High-Definition Video Streams Analysis, Modeling, and Prediction
Joint Authors
Jain, Raj
al-Tamimi, Abdel-Karim
So-In, Chakchai
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
High-definition video streams' unique statistical characteristics and their high bandwidth requirements are considered to be a challenge in both network scheduling and resource allocation fields.
In this paper, we introduce an innovative way to model and predict high-definition (HD) video traces encoded with H.264/AVC encoding standard.
Our results are based on our compilation of over 50 HD video traces.
We show that our model, simplified seasonal ARIMA (SAM), provides an accurate representation for HD videos, and it provides significant improvements in prediction accuracy.
Such accuracy is vital to provide better dynamic resource allocation for video traffic.
In addition, we provide a statistical analysis of HD videos, including both factor and cluster analysis to support a better understanding of video stream workload characteristics and their impact on network traffic.
We discuss our methodology to collect and encode our collection of HD video traces.
Our video collection, results, and tools are available for the research community.
American Psychological Association (APA)
al-Tamimi, Abdel-Karim& Jain, Raj& So-In, Chakchai. 2012. High-Definition Video Streams Analysis, Modeling, and Prediction. Advances in Multimedia،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-479799
Modern Language Association (MLA)
al-Tamimi, Abdel-Karim…[et al.]. High-Definition Video Streams Analysis, Modeling, and Prediction. Advances in Multimedia No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-479799
American Medical Association (AMA)
al-Tamimi, Abdel-Karim& Jain, Raj& So-In, Chakchai. High-Definition Video Streams Analysis, Modeling, and Prediction. Advances in Multimedia. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-479799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479799