TY - GEN
T1 - A novel facial expression database construction method based on web images
AU - Wang, Xibo
AU - Feng, Xiaoyi
AU - Peng, Jinye
PY - 2011
Y1 - 2011
N2 - Facial expression recognition plays an important role in web images understanding. Since current databases for expression learning are usually achieved in experimental environment which are different from actual emotions, and the samples in each database is small, it is hard to train good expression classifiers with them, and which leads to a low expression classification ability, especially when recognizing expressions in web images. In this paper, a novel facial expression database construction method is suggested: First, a large-scale social label images are obtained by the Google web search with the keywords of happiness, sadness, surprise, anger, disgust and fear respectively; Then, unrelated images are filtered as junk images interactively by the hyperbolic visualization technique and the expression database is constructed. All the images in the database are from real social network, so the database is more proper to train classifiers for recognizing expressions in web images.
AB - Facial expression recognition plays an important role in web images understanding. Since current databases for expression learning are usually achieved in experimental environment which are different from actual emotions, and the samples in each database is small, it is hard to train good expression classifiers with them, and which leads to a low expression classification ability, especially when recognizing expressions in web images. In this paper, a novel facial expression database construction method is suggested: First, a large-scale social label images are obtained by the Google web search with the keywords of happiness, sadness, surprise, anger, disgust and fear respectively; Then, unrelated images are filtered as junk images interactively by the hyperbolic visualization technique and the expression database is constructed. All the images in the database are from real social network, so the database is more proper to train classifiers for recognizing expressions in web images.
KW - facial expression database
KW - hyperbolic visualization
KW - interactive filtering
UR - http://www.scopus.com/inward/record.url?scp=80755143935&partnerID=8YFLogxK
U2 - 10.1145/2043674.2043710
DO - 10.1145/2043674.2043710
M3 - 会议稿件
AN - SCOPUS:80755143935
SN - 9781450309189
T3 - ACM International Conference Proceeding Series
SP - 124
EP - 127
BT - ICIMCS 2011 - 3rd International Conference on Internet Multimedia Computing and Service, Proceedings
T2 - 3rd International Conference on Internet Multimedia Computing and Service, ICIMCS 2011
Y2 - 5 August 2011 through 7 August 2011
ER -