SV-CIELAB: Video Quality Assessment using Spatio-Velocity Contrast Sensitivity Function

In this paper, we proposed and validated SV-CIELAB which is a video quality assessment (VQA) method using a spatio-velocity contrast sensitivity function (SV-CSF). The SV-CSF consists of the relationship among contrast sensitivities, spatial frequencies and velocities of stimuli. We used the SV-CSF for filtering original and distorted videos. The criteria in our method are obtained by calculating CIELAB color differences between filtered videos. From the experimental results for the validation, it was shown that SV-CIELAB is the more efficient VQA method than conventional methods such as CIELAB color difference, Spatial-CIELAB and so on.