Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-17829-0_44
Title: Multi-actor emotion recognition in movies using a bimodal approach
Authors: Srivastava, R.
Roy, S.
Yan, S. 
Sim, T. 
Keywords: bimodal
emotion recognition
Human Computer Interface
movie analysis
Semantic Orientation
Issue Date: 2011
Source: Srivastava, R.,Roy, S.,Yan, S.,Sim, T. (2011). Multi-actor emotion recognition in movies using a bimodal approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6524 LNCS (PART 2) : 465-475. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-17829-0_44
Abstract: 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. © 2011 Springer-Verlag Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/43298
ISBN: 3642178286
ISSN: 03029743
DOI: 10.1007/978-3-642-17829-0_44
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