Joho, H., Jose, J. , Valenti, R. and Sebe, N. (2009) Exploiting facial expressions for affective video summarisation. In: ACM International Conference on Image and Video Retrieval, Santorini, Fira, Greece, 8-10 Jul 2009, p. 1. ISBN 9781605584805 (doi: 10.1145/1646396.1646435)
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Publisher's URL: http://dx.doi.org/10.1145/1646396.1646435
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.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Jose, Professor Joemon and Joho, Dr Hideo |
Authors: | Joho, H., Jose, J., Valenti, R., and Sebe, N. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
College/School: | College of Science and Engineering > School of Computing Science |
ISBN: | 9781605584805 |
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