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Machine Learning Applied to Video Compression

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If you have a question about this talk, please contact James Fergusson .

Video offload hardware is a vital component of most computing devices nowadays, including many made by AMD : processors, graphics cards, and server accelerators for machine learning and inference. This is a short introduction to how video compression works, followed by an exploration of areas in video encoding where machine learning techniques could be applied to achieve better results than current approaches.

This talk is part of the Data Intensive Science Seminar Series series.

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Room GS15 at the William Gates Building and on Zoom: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon Lecturers' Common Room, Raised Faculty Building, Sidgwick Site Darwin Society

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