Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2012.6288052
Title: Recognizing emotions of characters in movies
Authors: Srivastava, R.
Yan, S. 
Sim, T. 
Roy, S.
Keywords: Bimodal Emotion Recognition
Fusion
Semantic analysis
Issue Date: 2012
Source: Srivastava, R.,Yan, S.,Sim, T.,Roy, S. (2012). Recognizing emotions of characters in movies. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 993-996. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2012.6288052
Abstract: This work presents an investigation into recognizing emotions of people in near real life scenarios. Most existing studies on recognizing emotions of people have been conducted under controlled environments where the emotions are not spontaneous, rather highly exaggerated, and the number of modalities considered and their interactions is limited. The proposed bimodal approach fuses facial expression recognition (FER) with the "semantic orientation" of dialogs of actors to identify emotions under difficult illumination conditions, pose variations and occlusions in scenes. Experiments conducted on a dataset of 700 video clips from 17 movies demonstrate that the proposed fusion approach improves emotion recognition performance over unimodal approaches. © 2012 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/43219
ISBN: 9781467300469
ISSN: 15206149
DOI: 10.1109/ICASSP.2012.6288052
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