Photo Sleuth: Identifying Historical Portraits with Face Recognition and Crowdsourced Human Expertise
Photo Sleuth: Identifying Historical Portraits with Face Recognition and Crowdsourced Human Expertise
复制标题
照片侦探：利用人脸识别和众包人类专业知识识别历史肖像
DOI：
10.1145/3365842
复制
发表时间：
2020
影响因子：
3.4
通讯作者：
Luther, Kurt
中科院分区：
文献类型：
--
作者：
Mohanty, Vikram;Thames, David;Mehta, Sneha;Luther, Kurt
Identifying people in historical photographs is important for preserving material culture, correcting the historical record, and creating economic value, but it is also a complex and challenging task. In this article, we focus on identifying portraits of soldiers who participated in the American Civil War (1861--65), the first widely photographed conflict. Many thousands of these portraits survive, but only 10%--20% are identified. We created Photo Sleuth, a web-based platform that combines crowdsourced human expertise and automated face recognition to support Civil War portrait identification. Our mixed-methods evaluations of Photo Sleuth one month and 11 months after its public launch showed that it helped users successfully identify unknown portraits and provided a sustainable model for volunteer contribution. We also discuss implications for crowd-AI interaction and person identification pipelines.
