Visual and Spatial Digital Humanities Research for Japanese Culture

Explore visual and spatial digital humanities research for Japanese culture in this 35-minute talk by Asanobu Kitamoto from the Alan Turing Institute. Discover various research projects at the ROIS-DS Center for Open Data in the Humanities (CODH), focusing on visual and spatial data analysis. Learn about innovative approaches using computer vision, machine learning, geographic information science, and linked data to tackle humanities research questions. Gain insights into data platforms like IIIF (International Image Interoperability Framework) for creating structured historical data. Examine projects such as the IIIF Curation Platform, Collection of Facial Expressions (KaoKore), Bukan Complete Collection, Edo Maps, and GeoLOD. Delve into topics including art history research, computer vision applications, machine learning-based face detection, visual comparison of editions, old map analysis, and the creation of historical big data. Understand the importance of data structure workflows and their impact on digital humanities research.