This paper describes a novel no-reference video quality assessment (VQA) model which is based on eye tracking datas for H.264 coding videos.This assessment model is based on the blur and the blockiness. The eye tracking datas were used to the no-reference video quality assesment.The experimental results show that the assessment model has better performance in terms of both the prediction accuracy and the computation complexity.

The effect of stereoscopic depth on visual fatigue was investigated. We compared visual fatigue parameters induced by watching same 3D movie with different depths presented on Sony BRAVIA LCD 3DTV. The results showed that watching 3D enhanced mode movies resulted in more visual fatigue and discomfort significantly than 3D normal mode movies.

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