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2006 IEEE International Conference on Multimedia and Expo
Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Frank Wallhoff, Bjorn Schuller, Michael Hawellek, Gerhard Rigoll, "Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database," Multimedia and Expo, IEEE International Conference on, pp. 493-496, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262433,
author = {Frank Wallhoff and Bjorn Schuller and Michael Hawellek and Gerhard Rigoll},
title = {Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {493-496},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262433},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database
SN - 1-4244-0366-7
SP493
EP496
A1 - Frank Wallhoff,
A1 - Bjorn Schuller,
A1 - Michael Hawellek,
A1 - Gerhard Rigoll,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Frank Wallhoff, Technische Universit?t M?nchen, Institute for Human-Machine Interaction, Arcisstrasse 21, 80333 Munich
Bjorn Schuller, Technische Universit?t M?nchen, Institute for Human-Machine Interaction, Arcisstrasse 21, 80333 Munich
Michael Hawellek, Technische Universit?t M?nchen, Institute for Human-Machine Interaction, Arcisstrasse 21, 80333 Munich
Gerhard Rigoll, Technische Universit?t M?nchen, Institute for Human-Machine Interaction, Arcisstrasse 21, 80333 Munich
In order to allow for fast recognition of a user's affective state we discuss innovative holistic and self organizing approaches for efficient facial expression analysis. The feature set is thereby formed by global descriptors and MPEG based DCT coefficients. In view of subsequent classification we compare modelling by pseudo multi-dimensional Hidden Markov Models and Support Vector Machines. Within the latter case super-vectors are constructed based on Sequential Floating Search Methods. Extensive test-runs as a proof of concept are carried out on our publicly available FEEDTUM database consisting of elicited spontaneous emotions of 18 subjects within the MPEG-4 emotion-set plus added neutrality. Maximum recognition performance reaches the benchmark-rate gained by a human perception test with 20 test-persons and manifest the effectiveness of the introduced novel concepts.
Citation:
Frank Wallhoff, Bjorn Schuller, Michael Hawellek, Gerhard Rigoll, "Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database," icme, pp.493-496, 2006 IEEE International Conference on Multimedia and Expo, 2006
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