Abstract
For the purpose of retrieving emotional scenes from a lifelog video database, and showing them, we propose a criterion to measure the strength of emotions. Conventionally, the retrieval of the emotional scenes has been performed by distinguishing the kind of the emotion of a person. However, precisely judging the importance of the scene is difficult without the consideration of the strength of the emotion. Therefore, we introduce a criterion called expression strength in order to measure the strength of emotions based on the amount of the change of several facial feature values. The effectiveness of the expression strength for the detection of the emotional scenes with smiles is shown through an experiment using a lifelog video data set.
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Morikuni, A., Nomiya, H., Hochin, T. (2015). Expression Strength for the Emotional Scene Detection from Lifelog Videos. In: Lee, R. (eds) Software Engineering Research, Management and Applications. Studies in Computational Intelligence, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-11265-7_10
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DOI: https://doi.org/10.1007/978-3-319-11265-7_10
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