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We propose a no-reference algorithm for video quality evaluation. The algorithm relies on a natural scene statistics (NSS) model of video DCT coefficients as well as a temporal model of motion coherency. The proposed framework is tested on the LIVE VQA database, and shown to correlate well with human visual judgments of quality.

Blind quality assessment of videos using a model of natural scene statistics and motion coherency