Image Analysis and Infrastructure Support for Data Mining the Farm Security Administration: Office of War Information Photography Collection
This paper reports on the initial work and future trajectory of the Image Analysis of the Farm Security Administration -- Office of War Information Photography Collection team, supported through an XSEDE startup grant and Extended Collaborative Support Service (ECSS). The team is developing and utilizing existing algorithms and running them on Comet to analyze the Farm Security Administration - Office of War Information image corpus from 1935-1944, held by the Library of Congress (LOC) and accessible online to the public. The project serves many fields within the humanities, including photography, art, visual rhetoric, linguistics, American history, anthropology, and geography, as well as the general public. Through robust image, metadata, and lexical semantics analysis, researchers will gain deeper insight into photographic techniques and aesthetics employed by FSA photographers, editorial decisions, and overall collection content. By pairing image analysis with metadata analysis, including lexiosemantic extraction, the opportunities for deep data mining of this collection expand even further.
Slavenas, M., Rodriguez, P., Craig, A., Wuerffel, E., & Will, J. (2016). Image analysis and infrastructure support for data mining the farm security administration: Office of war information photography collection. In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale. New York, NY: ACM. https://doi.org/10.1145/2949550.2949640