Machine Learning Applied to Video Compression
Add to your list(s)
Download to your calendar using vCal
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.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|