Segmentation-driven perceptual quality metrics

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Segmentation-driven perceptual quality metrics
We present a full-reference and a no-reference perceptual video quality metric that incorporate both low-level and high-level aspects of vision. Low-level aspects include color perception, contrast sensitivity, masking as well as artifact analysis. High-level aspects take into account the cognitive behavior of an observer when watching a video by means of semantic segmentation. Using the special case of semantic face segmentation, we evaluate the proposed segmentationdriven perceptual quality metrics using a range of test sequences and demonstrate an improvement of their prediction performance.
Andrea Cavallaro, Stefan Winkler
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2004
Where ICIP
Authors Andrea Cavallaro, Stefan Winkler
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