Image Analysis for Archival Discovery

Image Analysis for Archival Discovery (Aida) responds to two issues within the digital humanities and digital library communities: First, that we leverage little of the information potential of the millions of images that we are creating as we digitize the cultural record. Second, that locating relevant materials in digital collections is often already a difficult endeavor and will become increasingly so as more content is digitized. We are asking what more we can do with the millions of images that represent the digitized cultural record, and we are interested in the types of discovery that serious attention to digital images might yield.

Project Team

  • Maanas Varma Datla, 2014–2015
  • Spencer Kulwicki, 2014–2015
  • Grace Thomas, 2013–2015

Contact

  • liz.lorang@unl.edu
  • lksoh@cse.unl.edu

News & Updates

Documents

  • White paper, submitted to National Endowment for the Humanities, October 2016
  • Final report, submitted to National Endowment for the Humanities, October 2016
  • Interim report, submitted to National Endowment for the Humanities, January 2016
  • Interim report, submitted to National Endowment for the Humanities, June 2015
  • Interim report, submitted to National Endowment for the Humanities, January 2015
  • Application for start-up funding, submitted to National Endowment for the Humanities, Office of Digital Humanities, September 2013

Code & Data

  • Project code will be available on GitHub
  • Project data will be made available via the UNL data repository