Exploiting facial expressions for affective video summarisation

Authors
Publication date 2009
Host editors
  • S. Marchand-Maillet
  • I. Kompatsiaris
Book title Proceedings of the ACM International Conference on Image and Video Retrieval, ACM-CIVR 2009: July 8-10, 2009 - Santorini Island, Greece
ISBN
  • 9781605584805
Event ACM International Conference on Image and Video Retrieval (ACM-CIVR 2009), Santorini Island, Greece
Pages (from-to) 31
Publisher New York: Association for Computing Machinery (ACM)
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract This paper presents an approach to affective video summarisation based on the facial expressions (FX) of viewers. A facial expression recognition system was deployed to capture a viewer's face and his/her expressions. The user's facial expressions were analysed to infer personalised affective scenes from videos. We proposed two models, pronounced level and expression's change rate, to generate affective summaries using the FX data. Our result suggested that FX can be a promising source to exploit for affective video summaries that can be tailored to individual preferences.
Document type Conference contribution
Note JohoICIVR2009
Published at http://doi.acm.org/10.1145/1646396.1646435
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