Improving a Video Quality Metric with the Video Content Type parameter

Nowadays, there are several multimedia services, which are carried via IP networks. From these services; the traffic regarding video applications had the greatest growth in the last years. In this context, the study of methods for assessing video quality plays a very important role. In general, video quality metrics are defined from mathematical models, which use as inputs, different network or application layer parameters, and the video quality assessment results from subjective tests. This paper aims to demonstrate that the video quality metric performance can be improved by adding a parameter regarding the video content type. In order to perform video quality assessment tests in a short time period, the so-called crowdsourcing methodology is used. In this methodology remote users assess the video quality. The experimental results show that the Video streaming Quality Metric (VsQM) performance is improved when the video content type is considered (eVsQM). Indeed, the Pearson correlation factors between eVsQM and crowdsourcing results reach 0.94 ¿ 0.98, depending on the video degradation scenario.