Video Quality Assessment On Msu Video Quality 1

KLCC

SRCC

评测结果

各个模型在此基准测试上的表现结果

比较表格

模型名称	KLCC	SRCC
vsi-a-visual-saliency-induced-index-for	0.7524	0.9053
模型 2	0.7185	0.8668
st-greed-space-time-generalized-entropic	0.5905	0.7547
fovvideovdp-a-visible-difference-predictor	0.382	0.537
toward-a-practical-perceptual-video-quality	0.809	0.942
模型 6	0.6106	0.7810
image-information-and-visual-quality	0.7558	0.9079
attentions-help-cnns-see-better-attention	0.8015	0.937
toward-a-practical-perceptual-video-quality	0.809	0.942
a-haar-wavelet-based-perceptual-similarity	0.7451	0.8982
mean-deviation-similarity-index-efficient-and	0.7379	0.8971
the-unreasonable-effectiveness-of-deep	0.5846	0.7538
模型 13	0.7499	0.8920
multiscale-structural-similarity-for-image	0.7625	0.9026
toward-a-practical-perceptual-video-quality	0.809	0.942
deep-learning-based-full-reference-and-no	0.695	0.864
image-quality-assessment-from-error	0.7615	0.8999
sr-sim-a-fast-and-high-performance-iqa-index	0.7472	0.9014
fsim-a-feature-similarity-index-for-image	0.7418	0.9000
toward-a-practical-perceptual-video-quality	0.765	0.914