Visual Content Analysis and Linked Data for Automatic Enrichment of Architecture-Related Images [chapter]

Tino Mager, Seyran Khademi, Ronald Siebes, Carola Hein, Victor de Boer, Jan van Gemert
2019 Digital Cultural Heritage  
You share, we take care!' -Taverne project Otherwise as indicated in Abstract Built form dominates the urban space where most people live and work and provides a visual reflection of the local, regional and global esthetical, social, cultural, technological and economic factors and values. Street-view images and historical photo archives are therefore an invaluable source for sociological or historical study; however, they often lack metadata
more » ... o start any comparative analysis. Date and location are two basic annotations often missing from historical images. Depending on the research question other annotations might be useful, that either could be visually derived (e.g. the number or age of cars, the fashion people wear, the amount of street decay) or extracted from other data sources (e.g. crime statistics for the neighborhood where the picture was taken). Recent advances in automatic visual analysis and the increasing amount of linked open data triggered the research described in this paper. We provide an overview of the current status of automated image analysis and linked data technology and present a case study and methodology to automatically enrich a large database of historical images of buildings in the city of Amsterdam.
doi:10.1007/978-3-030-15200-0_18 fatcat:thqv55slybhvjcisth77niitki