Video quality assessment using a statistical model of human visual speed perception

Zhou Wang, Qiang Li
2007 Optical Society of America. Journal A: Optics, Image Science, and Vision  
Motion is one of the most important types of information contained in natural video, but direct use of motion information in the design of video quality assessment algorithms has not been deeply investigated. Here we propose to incorporate a recent model of human visual speed perception [Stocker & Simoncelli, Nature Neuroscience 9, 578-585 (2006)] and model visual perception in an information communication framework. This allows us to estimate both the motion information content and the
more » ... al uncertainty in video signals. Improved video quality assessment algorithms are obtained by incorporating the model as spatiotemporal weighting factors, where the weight increases with the information content and decreases with the perceptual uncertainty. Consistent improvement over existing video quality assessment algorithms is observed in our validation with the video quality experts group Phase I test data set.
doi:10.1364/josaa.24.000b61 pmid:18059915 fatcat:hzf6ubjyqbh5niuvuyjlvcuwdu