Abstract
Abstract Modern video coding systems such as ISO-MPEG1,2,4 exploit properties of the human visual system, to reduce the bit rate at which a video sequence is coded, given a certain required video quality. As a result, to the degree in which such exploitation is successful, accurate prediction of the quality of the output video of such systems, should also take the human visual system into account. In this paper, we propose a perceptual video quality system, that uses a linear combination of three indicators. The indicators are, the “edginess” of the luminance, the normalized color error and the temporal decorrelation. In the benchmark by the Video Quality Expert Group (VQEG), a combined ITU-T and ITU-R expert group, the model showed the highest variance weighted regression overall correlation of all models.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
