3.8 Proceedings Paper

EmotiW 2016: Video and Group-Level Emotion Recognition Challenges

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/2993148.2997638

关键词

Audio-video data corpus; Emotion recognition; Group-level emotion recognition; Facial expression challenge; Affect analysis in the wild

向作者/读者索取更多资源

This paper discusses the baseline for the Emotion Recognition in the Wild (EmotiW) 2016 challenge. Continuing on the theme of automatic affect recognition 'in the wild', the EmotiW challenge 2016 consists of two sub-challenges: an audio-video based emotion and a new group-based emotion recognition sub-challenges. The audio-video based subchallenge is based on the Acted Facial Expressions in the Wild (AFEW) database. The group-based emotion recognition sub-challenge is based on the Happy People Images (HAPPEI) database. We describe the data, baseline method, challenge protocols and the challenge results. A total of 22 and 7 teams participated in the audio-video based emotion and group-based emotion sub-challenges, respectively.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据