Monthly Archives: September 2021

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning 30th IEEE Conference of the Open Innovations Association FRUCT 27-29 October 2021 https://www.fruct.org/ [PDF][Slides][Video] Anatoliy Zabrovskiy, Prateek Agrawal, Christian Timmerer, and Radu Prodan Abstract: HTTP adaptive video streaming is … Continue reading →

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FaRes-ML paper is Nominated for the Best New Streaming Innovation Award in the Streaming Media Readers’ Choice Awards 2021

The Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning paper from ATHENA lab is nominated for the Best New Streaming Innovation Award in the Streaming Media Readers’ Choice Awards 2021. Voting can be done on the awards’ website. The voting … Continue reading →

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