RFA at MediaEval 2015 Affective Impact of Movies Task: A Multimodal Approach

The MediaEval 2015 Affective Impact of Movies Task chal-lenged participants to automatically find violent scenes in a set of videos and, also, to predict the affective impact that video content will have on viewers. We propose the use of several multimodal descriptors, such as visual, motion and auditory features, then we fuse their predictions to detect the violent or affective content. Our best-performing run with regard to the official metric received a MAP of 0.1419 in the violence detection task, and an accuracy of 45.038% for the arousal estimation and 36.123 % for the valence esti-mation