Extracting, assimilating, and sharing the results of image analysis on the fsa/owi photography collection

Paul Rodriguez, Sandeep Puthanveetil Satheesan, Jeffrey Will, Elizabeth Wuerffel, Alan Craig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reports on the continued work on image analysis of the Farm Security Administration - Office of War Information Photography Collection team, supported through an XSEDE grant (Extreme Science and Engineering Discovery Environment) and Extended Collaborative Support Service (ECSS). The team is refining existing algorithms, developing new algorithms and executing them on the Comet supercomputer to analyze the FSA-OWI corpus from 1935-1944, held by the Library of Congress (LOC). The project spans many fields within the humanities and beyond, including photography, art, visual rhetoric, linguistics, American history, anthropology, and geography, as well as appealing to the general public. Progress includes refining image, metadata, and lexical semantics analysis, as well as developing a search, retrieval, and sorting interface through Clowder, which will serve as the public portal. Methods and tool refinement for this project are suitable for use on other large image corpora.

Original languageEnglish (US)
Title of host publicationPEARC 2017 - Practice and Experience in Advanced Research Computing 2017
Subtitle of host publicationSustainability, Success and Impact
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450352727
DOIs
StatePublished - Jul 9 2017
Event2017 Practice and Experience in Advanced Research Computing, PEARC 2017 - New Orleans, United States
Duration: Jul 9 2017Jul 13 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128771

Other

Other2017 Practice and Experience in Advanced Research Computing, PEARC 2017
Country/TerritoryUnited States
CityNew Orleans
Period7/9/177/13/17

Keywords

  • Art History
  • Computer Science
  • Data Mining
  • Humanities
  • Image Analysis
  • Interdisciplinary
  • Linguistics
  • Photography

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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