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CIVR
2009
Springer

Exploiting Facial Expressions for Affective Video Summarisation

9 years 7 months ago
Exploiting Facial Expressions for Affective Video Summarisation
This paper presents an approach to affective video summarization 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 analyzed to infer personalized 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.
Hideo Joho, Joemon M. Jose, Roberto Valenti, Nicu
Added 11 Jan 2010
Updated 11 Jan 2010
Type Conference
Year 2009
Where CIVR
Authors Hideo Joho, Joemon M. Jose, Roberto Valenti, Nicu Sebe
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