Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract)
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Sister Conferences Best Papers. Pages 4755-4759. https://doi.org/10.24963/ijcai.2020/660
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 crowdsourced 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.
Humans and AI: Human-AI Collaboration
Humans and AI: Human-Computer Interaction
Humans and AI: Human Computation and Crowdsourcing
Computer Vision: Biometrics, Face and Gesture Recognition