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The Past, Present, and Future of Per-Title Encoding


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 Drucker , Maya Angelou , Yuriy Reznik , Bitmovin Steve Geiger , Moscow State University Video Quality Measurement Tool , Others Join The Party , Center Principal Jan Ozer , Consumer Technology Association Web Application Video Ecosystem , International Symposium On Electronic Imaging , Network Data , Title Encode Optimization , Content Adaptive Bitrate , Constant Rate Factor , Quality Defined Variable Bitrate , Video Multimethod Assessment Fusion , Electronic Imaging , Capella Systems , Epic Labs , Mass Scale Multi Screen Video Delivery , Context Aware Encoding , For Brightcove , Mux Data , Dynamic Range , Looking Content Aware Encoding , Next Generation , Tour De France ,