Green, AI-based Video Compression


Sunday, April 24 | 9:35 AM - 9:55 AM


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Artificial intelligence (AI) is often seen as a way to introduce new system features and capabilities, at the expense of a significant increase in power consumption. Though, if the usage of heavy processing in an offline machine learning training phase leads to lower energy consumption during the deployment phase of a system, the carbon footprint can be improved at the end.

This presentation will present concrete AI-based techniques that can be applied to live video compression to reduce CPU consumption in the headend or to minimize the delivery and storage impact utilizing lower bitrates. It will also provide interoperability test results for each of the techniques discussed.

A Sub-Session Under:

Artificial Intelligence Applications for Broadcast


Thierry Fautier
Vice President, Video Strategy

Session Type:
Paper Presentation