A Subjective Quality Estimation Tool for the Evaluation of Video Communication Systems

This paper presents a quantification tool for the evaluation of scalable and non-scalable video communication systems. The proposed mechanism estimates the subjective quality of experience (QoE) of a human viewer according to the temporal resolution, the spatial resolution and the Root Mean Square of the Error (RMSE) between the original image and the encoded one. According to these three dimensions of quality it enables an encoder and server to search for the best combination of each of these scalability factors in order to deliver the best quality. The proposed quantification tool was obtained through subjective tests using a panel of evaluators and a new methodology which have shown good correlation factors between measurement data and estimating functions.