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This paper addresses the importance of quality assessment and control of digital video using psychovisual-based quantitative quality metrics. Three newly-introduced such metrics are evaluated using various video sequences coded at different rates by ITU-T H.263 and MPEG-2-compliant codecs.
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Wu et al. (2002) studied this question.
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