Machine Learning for Interactive Age Classification of Films

The volumes of video content published and accessible online are growing, on Youtube alone 720 000 hours of moving pictures are uploaded every day. Some video material, ie violence, is considered harmful to minors. Is it possible to create an AI-based system, capable of detecting harmful video content?


Anette Novak, Director General of the Swedish Media Council, former CEO of ICT and design research institute RISE Interactive and head of the Swedish government’s Media Inquiry.

Michael Felsberg, Professor in Computer Vision at the Department of Electrical Engineering, Linköping University. 

This research question is in focus within the project “Machine Learning for Interactive Age Classification of Films”, arranged by WARA – Media and Language. Read more and register here.