Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005 · 28 citations · 4 references
ComputingVision ScienceComputer VisionVisual PerceptionVisual PsychophysicsImage QualityImage Quality AssessmentMotion AnalysisMotion EstimationMotion ProcessingVideo AnalysisError Rate MetricsLogistic LossLogistic RegressionMotion RepresentationPerceptual EvaluationPerceptual Quality AssessmentSpearman Rank Correlation CoefficientVisual Quality Degradation
Work presented in the paper includes two parts: first we measured the detectability and annoyance of frame dropping's effect on perceptual visual quality evaluation under different motion and framesize conditions. Then, a new logistics function and an effective yet simple motion content representation are selected to model the relationship among motion, framerate and negative impact of frame-dropping on visual quality, in one formula. The high Pearson and Spearman correlation results between the MOS and predicted MOSp, as well as the results of other two error metrics, confirm the success of the selected logistic function and motion content representation.
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