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.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Andrea Cavallaro, Stefan Winkler
• Keywords: ICIP 2004, Image Processing, Low-level Aspects, Perceptual Quality Metrics, Perceptual Video Quality, Semantic Face Segmentation, Semantic Segmentation