@Article{IJNAM-13-879,
author = {S.-Q. Zhao, H. Jiang, C. Liang, S. Sherif and A. Tarraf},
title = {Mathematical Models for Quality Analysis of Mobile Video},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2016},
volume = {13},
number = {6},
pages = {879--897},
abstract = {<p style="text-align: justify;">With the explosive growth of mobile video applications, analysis of video quality
becomes increasingly important because it is an important Key Performance Indicator (KPI) for
Quality of Experience (QoE). In this paper, a framework for non-reference video quality analysis
is proposed and applied to Video Telephony (VT) in LTE networks. Three metrics, blockiness,
blur and freezing, are used to estimate the MOS. Blockiness is detected by taking the H.264
codec features into account, blur is estimated by utilizing the percentage of noticeable blurred
edges in each frame, and freezing is evaluated by using a sigmoid function to mimic the effect of
different freezing duration on the Human Visual System (HVS). Furthermore, the three metrics
are combined into one objective MOS by considering different weighting factors and using the
linear curve fitting. Above 90% correlation is achieved between the objective MOS score and
subjective MOS score.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/470.html}
}