A novel facial expression database construction method based on web images

Xibo Wang, Xiaoyi Feng, Jinye Peng

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
主期刊名ICIMCS 2011 - 3rd International Conference on Internet Multimedia Computing and Service, Proceedings
124-127
页数4
DOI
出版状态已出版 - 2011
活动3rd International Conference on Internet Multimedia Computing and Service, ICIMCS 2011 - Chengdu, 中国
期限: 5 8月 20117 8月 2011

出版系列

姓名ACM International Conference Proceeding Series

会议

会议3rd International Conference on Internet Multimedia Computing and Service, ICIMCS 2011
国家/地区中国
Chengdu
时期5/08/117/08/11

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