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Using VMAF, Netflix’s Video Encoding Metric to Measure QoE
https://cdnapisec.kaltura.com/p/2539171/sp/253917100/embedIframeJs/uiconf_id/44037791/partner_id/2539171?iframeembed=true&playerId=kaltura_player_1556215437&entry_id=0_c01npemv&flashvars[streamerType]=auto
Description
Netflix uses video quality metric VMAF that combines human vision modeling with machine learning, to make automated encoding decisions in their per-title/per-scene encoding workflow. This presentation will cover what VMAF is, how to compute it with free and commercial tools, and how to use VMAF to configure your encoding ladder and make better informed encoding decisions. Learn how VMAF can capture larger differences between codecs, as well as scaling artifacts, in a way that’s better correlated with perceptual quality.
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