GLA in MediaEval 2018 Emotional Impact of Movies Task

Understand

The visual and audio information from movies can evoke a variety of emotions in viewers.

• Towards a better understanding of viewer impact, we present our methods for the MediaEval 2018 Emotional Impact of Movies Task to predict the expected valence and arousal continuously in movies.
• This task, using the LIRIS-ACCEDE dataset, enables researchers to compare different approaches for predicting viewer impact from movies.
• Our approach leverages image, audio, and face based features computed using pre-trained neural networks.