Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
International Journal of Computer Vision
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Affective content detection using HMMs
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A dimensional approach to emotion recognition of speech from movies
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
On the use of computable features for film classification
IEEE Transactions on Circuits and Systems for Video Technology
Affective understanding in film
IEEE Transactions on Circuits and Systems for Video Technology
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Approaches for emotion recognition in movie scenes using high level features, consider emotion of only a single actor. The contribution of this paper is to analyze using emotional information from multiple actors present in the scene instead of just one actor. A bimodal approach is proposed for fusing emotional cues from different actors using two different fusion methods. Emotional cues are obtained from facial expressions and dialogs. Experimental observations show that emotions of other actors do not necessarily provide helpful information about the emotion of the scene and recognition accuracy is better when emotions of only the speaker are considered.