Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract).

IJCAI(2020)

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摘要
Identifying people in historical photographs is important for interpreting material culture, correcting the historical record,and creating economic value, but it is also a complex and challenging task. In this paper, we focus on identifying portraits of soldiers who participated in the American Civil War (1861-65). Millions of these portraits survive, but only 10-20% are identified. We created Photo Sleuth, a web-based platform that combines crowd-sourced human expertise and automated face recognition to support Civil War portrait identification. Our mixed-methods evaluation of Photo Sleuth one month after its public launch showed that it helped users successfully identify unknown portraits.
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