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We select 93 video sequences encoded/decoded by Microsoft MPEG-4 software to classify them into six different content characteristics by the cluster analysis and the discriminant analysis in this study. We compare the peak signal noise ratio (PSNR) of objective video quality evaluation with the mean opinion score of subjective quality evaluation to understand their difference by varying different...
There are evidences to indicate that a user’s perception is affected by varying frame rate and bit rate with respect to different video content characteristics. We attempt to understand the differences of motion and texture characteristics by adopting both the objective assessment and the subjective assessment methodologies. In this paper, the peak signal-to-noise ratio (PSNR) is used as the objective...
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