Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

被引：180

作者：

Dhall, Abhinav ^{[1
]}

Murthy, O. V. Ramana ^{[1
]}

Goecke, Roland ^{[1
]}

Joshi, Jyoti ^{[1
]}

Gedeon, Tom ^{[2
]}

机构：

[1] Univ Canberra, Vis & Sensing Grp, Canberra, ACT 2601, Australia

[2] Australian Natl Univ, IHCC Grp, Canberra, ACT 0200, Australia

来源：

ICMI'15: PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION | 2015年

关键词：

Audio-video data corpus; Facial expression challenge; Affect analysis in the wild;

D O I：

10.1145/2818346.2829994

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression recognition sub-challenges, which mimics real-world conditions. The two sub-challenges are based on the Acted Facial Expression in the Wild (AFEW) 5.0 and the Static Facial Expression in the Wild (SFEW) 2.0 databases, respectively. The paper describes the data, baseline method, challenge protocol and the challenge results. A total of 12 and 17 teams participated in the video based emotion and image based expression sub-challenges, respectively.

引用

页码：423 / 426

页数：4

共 17 条

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