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Video Multimethod Assessment Fusion information


Video Multimethod Assessment Fusion (VMAF) is an objective full-reference video quality metric developed by Netflix in cooperation with the University of Southern California, The IPI/LS2N lab Nantes Université, and the Laboratory for Image and Video Engineering (LIVE) at The University of Texas at Austin. It predicts subjective video quality based on a reference and distorted video sequence. The metric can be used to evaluate the quality of different video codecs, encoders, encoding settings, or transmission variants.

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Video Multimethod Assessment Fusion

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Video Multimethod Assessment Fusion (VMAF) is an objective full-reference video quality metric developed by Netflix in cooperation with the University...

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Structural similarity index measure

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Multimethod Assessment Fusion (VMAF) Video quality Wang, Zhou; Bovik, A.C.; Sheikh, H.R.; Simoncelli, E.P. (2004-04-01). "Image quality assessment: from error...

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High Efficiency Video Coding

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reference VP9 encoder, libvpx. Using their advanced Video Multimethod Assessment Fusion (VMAF) video quality measurement tool, Netflix found that x265 delivered...

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Video quality

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vmaf: Perceptual video quality assessment based on multi-method fusion, Netflix, Inc., 2017-07-14, retrieved 2017-07-15 "Description of Video Quality Metric...

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