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In this paper, we propose a new statistical objective perceptual video quality measure PSNRr,f-MOSr. PSNRr,f is defined as the PSNR achieved by f% of the frames in each one of the r% of the transmissions over a network. This quantity has the potential to capture the performance loss due to damaged frames in a particular video sequence (f%), as well asto indicate the probablity of a user experiencing...
Recently we proposed a block-based conditional correlation coefficient model for natural videos in the spatial-temporal domain. The conditioning is on local texture and the optimal parameters can be calculated for a specific video with a mean absolute error (MAE) usually smaller than 5%. We used this conditional correlation model and the classic results on conditional rate distortion functions to...
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