DocumentCode
1772685
Title
A QoS evaluation of video traffic models for H.264 AVC video
Author
Tanwir, Savera ; Perros, Harry ; Anjum, Bushra
Author_Institution
Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA
fYear
2014
fDate
28-30 May 2014
Firstpage
313
Lastpage
320
Abstract
In this paper, we evaluated and compared the QoS behavior of video traffic models for H.264 AVC video. The H.264 AVC models that we evaluated are: the Markov Modulated Gamma (MMG) model, the Discrete Autoregressive (DAR) model, the second order Autoregressive AR(2) model, and a wavelet-based model. These models were used to generate synthetic packet traces which were used in a simulation model to estimate the 95th percentile of the end-to-end delay, jitter and packet loss. The QoS metrics of the generated traces are compared with those of the original traces available from the Arizona State University video traces library. We observed that none of the model produces accurate results for every type of video but the MMG model produced the results closest to the actual traces.
Keywords
Markov processes; quality of service; video coding; wavelet transforms; Arizona State University video traces library; DAR model; H.264 AVC video; MMG model; Markov modulated gamma; QoS behavior; QoS evaluation; discrete autoregressive model; synthetic packet traces; video traffic models; wavelet based model; Correlation; Delays; Markov processes; Quality of service; Streaming media; Video coding; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Next Generation Networks and Services (NGNS), 2014 Fifth International Conference on
Conference_Location
Casablanca
Print_ISBN
978-1-4799-6608-0
Type
conf
DOI
10.1109/NGNS.2014.6990270
Filename
6990270
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