Abstract
This paper describes a model to estimate human subjective video quality scores based on a framework of double-ended with a full reference system or end-to-end network video systems where sending video and receiving videos are available. The model incorporates multi-dimensional and multi-variables all of which are objectively measurable. Its aim is to estimate subjective score in the difference mean opinion score between a reference video and corresponding degraded videos. The model is developed based on an application of the multivariable analysis and trained by a set of a priori known relationship between physically obtainable parameters and corresponding subjective score. The paper describes how the model incorporates a mathematical algorithm as an executable programme module, and in what degree the model can be applicable in order to account actual examples of video pairs for both training video set used and foreign video sets. Referring to an application of the developed model to a set of foreign videos, it reports the capability of the model to different quality range. In addition to the worked results, some issues for further study are highlighted.
