Technicolor@MediaEval 2016 Predicting Media Interestingness Task



Technicolor@MediaEval 2016 Predicting Media Interestingness Task

Technicolor@MediaEval 2016 Predicting Media Interestingness Task
Research Paper / MediaEval 2016 workshop / Oct 2016 / Computer Vision, Machine/Deep Learning/AI

This paper presents the work done at Technicolor regardingthe MediaEval 2016 Predicting Media Interestingness Task,which aims at predicting the interestingness of individual im-ages and video segments extracted from Hollywood movies.We participated in both the image and video subtasks.