Published October 17, 2018 | Version v1
Working paper Open

Visual and audio analysis of movies video for emotion detection@ Emotional Impact of Movies task MediaEval 2018

  • 1. Information Technologies Institute, Centre for Research and Technology Hellas
  • 2. Queen Mary University of London


This work reports the methodology that CERTH-ITI team developed so as to recognize the emotional impact that movies have to its viewers in terms of valence/arousal and fear. More Specifically,deep convolutional neural networks and several machine learning techniques are utilized to extract visual features and classify them based on the predicted model, while audio features are also taken into account in the fear scenario, leading to highly accurate recognition rates.



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Preprint: arXiv:1909.01763 (arXiv)