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
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;
Conference_Titel :
Next Generation Networks and Services (NGNS), 2014 Fifth International Conference on
Conference_Location :
Casablanca
Print_ISBN :
978-1-4799-6608-0
DOI :
10.1109/NGNS.2014.6990270