
Netflix announced this week that it is deploying a version of HDR for its programming that optimizes video quality across all device categories ranging from TVs to mobiles and tablets.
HDR-VMAF, (Video Multimethod Assessment Fusion) which Netflix publicly announced in 2020, uses Netflix’s machine learning-based technology, dubbed “Dynamically Optimized (DO) encoding” to measure HDR quality by focusing on signal characteristics (as a result of lossy encoding) instead of display characteristics. Prior to that, the company was using a form of adaptive bitrate streaming that uses predetermined bitrates—regardless of content characteristics—for HDR video streaming.