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3 months ago

Toward A Practical Perceptual Video Quality Metric

{Netflix}

Abstract

At Netflix we care about video quality, and we care about measuring video quality accurately at scale. Our method, Video Multimethod Assessment Fusion (VMAF), seeks to reflect the viewer’s perception of our streaming quality. We are open-sourcing this tool and invite the research community to collaborate with us on this important project.

Benchmarks

BenchmarkMethodologyMetrics
video-quality-assessment-on-msu-video-quality-1VMAF Y (v062)
KLCC: 0.809
PLCC: 0.950
SRCC: 0.942
video-quality-assessment-on-msu-video-quality-1VMAF Y (v061)
KLCC: 0.809
PLCC: 0.952
SRCC: 0.942
video-quality-assessment-on-msu-video-quality-1VMAF Y (v063)
KLCC: 0.809
PLCC: 0.950
SRCC: 0.942
video-quality-assessment-on-msu-video-quality-1VMAF Y (v061_neg)
KLCC: 0.765
PLCC: 0.941
SRCC: 0.914

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Toward A Practical Perceptual Video Quality Metric | Papers | HyperAI