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Video quality assessment using a statistical model of human visual speed perception
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
doi:10.1364/josaa.24.000b61
pmid:18059915
fatcat:hzf6ubjyqbh5niuvuyjlvcuwdu