PAGAN: Platform for Audiovisual General-purpose ANnotation

被引：0

作者：

Melhart, David ^{[1
]}

Liapis, Antonio ^{[1
]}

Yannakakis, Georgios N. ^{[1
]}

机构：

[1] Univ Malta, Inst Digital Games, Msida, Malta

来源：

2019 8TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION WORKSHOPS AND DEMOS (ACIIW) | 2019年

关键词：

Affective computing; human-computer interaction; affect annotation; crowdsourcing; video;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an online platform, named PAGAN, for crowdsourcing affect annotations. The platform provides researchers with an easy-access solution for labelling any type of audiovisual content. The tool currently features an annotator interface, which offers three different time-continuous, dimensional annotation tools. PAGAN aims to serve as a free online platform for crowdsourcing large affective corpora-required from data-hungry machine learning methods for modelling affect-through a publicly available webpage, which is easy to share and use by participants.

引用

页码：75 / 76

页数：2

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