@inproceedings{c85a84fc5ef742d8910dd11b41323d07,
title = "Facial expression recognition from video sequences",
abstract = "Recognizing human facial expression and emotion by computer is an interesting and challenging problem. We propose a method for recognizing emotions through facial expressions displayed in video sequences. We introduce a tree-augmented naive-Bayes (TAN) classifier that learns the dependencies between facial features; we also provide an algorithm for finding the best TAN structure. Our person-dependent and person-independent experiments show that using this TAN structure provides significantly better results than using simpler NB-classifiers.",
author = "Ira Cohen and Nicu Sebe and Ashutosh Garg and Lew, {Michael S.} and Huang, {Thomas S.}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 2002 IEEE International Conference on Multimedia and Expo, ICME 2002 ; Conference date: 26-08-2002 Through 29-08-2002",
year = "2002",
doi = "10.1109/ICME.2002.1035527",
language = "English (US)",
series = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "121--124",
booktitle = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",
address = "United States",
}