The MediaEval 2014 Violent Scenes Detection task challenged participants to automatically find violent scenes in a set of videos. We propose to first predict a set of midlevel concepts from low-level visual and auditory features, then fuse the concept predictions and features to detect violent content. With the objective of obtaining a higly generic approach, we deliberately restrict ourselves to use simple general-purpose descriptors with limited temporal context and a common neural network

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... ssifier. The system used this year is largely based on the one successfully employed by our group in 2012 and 2013, with some improvements and updated features. Our best-performing run with regard to the official metric received a MAP2014 of 45.06% in the main task and 66.38% in the generalization task.