基于视频和图像的情感识别挑战:EmotiW 2015

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction Pub Date : 2015-11-09 DOI:10.1145/2818346.2829994

Abhinav Dhall, O. V. R. Murthy, Roland Göcke, Jyoti Joshi, Tom Gedeon

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引用次数: 281

摘要

2015年第三次野外情绪识别挑战赛(EmotiW)由基于音频视频的情绪和基于静态图像的面部表情分类子挑战组成，模拟了现实世界的情况。这两个子挑战分别基于野生面部表情(AFEW) 5.0和静态面部表情(SFEW) 2.0数据库。本文介绍了数据、基线方法、挑战方案和挑战结果。共有12支队伍和17支队伍分别参加了基于视频的情感子挑战和基于图像的表达子挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression classification 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.

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Proceedings of the 2015 ACM on International Conference on Multimodal Interaction

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