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The Past, Present, and Future of Per-Title Encoding Maya Angelou once said, You can t really know where you are going until you know where you have been, and so it is with per-title encoding. What began as a one-dimensional data rate adjustment that reflected the simple reality that all videos encode differently is now a complex analysis that incorporates frame rate, resolution, color gamut, and dynamic ranges, as well as delivery network and device-related data. Along the way, video quality metrics (VQM) have advanced as well, as needed to supply the quality-related data that feeds the per-title algorithms. In this article, I ll review the history of per-title encoding technologies to provide the perspective to understand what features to look for when choosing a technology and/or service provider. 

Peter druckerMaya angelouYuriy reznikBitmovin steve geigerMoscow state university video quality measurement toolOthers join the partyCenter principal jan ozerConsumer technology association web application video ecosystemInternational symposium on electronic imagingNetwork dataTitle encode optimizationContent adaptive bitrateConstant rate factorQuality defined variable bitrateVideo multimethod assessment fusionElectronic imaging