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There is a great deal of interest in methods to assess the perceptual quality of a video sequence in a full reference framework. Motion plays an important role in human perception of video and videos suffer from several artifacts that have to deal with inaccuracies in the representation of motion in the test video compared to the reference. However, existing algorithms to measure video quality focus primarily on capturing spatial artifacts in the video signal, and are inadequate at modelingdoi:10.1117/12.811817 dblp:conf/hvei/SeshadrinathanB09 fatcat:4dq7xe4vtvcdjn3ia54rts6whq