Examples of challenges and opportunities in visual analysis in the digital humanities

Holly Rushmeier; Ruggero Pintus; Ying Yang; Christiana Wong; David Li

doi:10.1117/12.2083342

17 March 2015 Examples of challenges and opportunities in visual analysis in the digital humanities

Holly Rushmeier, Ruggero Pintus, Ying Yang, Christiana Wong, David Li

Proceedings Volume 9394, Human Vision and Electronic Imaging XX; 939414 (2015) https://doi.org/10.1117/12.2083342
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

The massive digitization of books and manuscripts has converted millions of works that were once only physical into electronic documents. This conversion has made it possible for scholars to study large bodies of work, rather than just individual texts. This has offered new opportunities for scholarship in the humanities. Much previous work on digital collections has relied on optical character recognition and focused on the textual content of books. New work is emerging that is analyzing the visual layout and content of books and manuscripts. We present two different digital humanities projects in progress that present new opportunities for extracting data about the past, with new challenges for designing systems for scholars to interact with this data. The first project we consider is the layout and spectral content of thousands of pages from medieval manuscripts. We present the techniques used to study content variations in sets of similar manuscripts, and to study material variations that may indicate the location of manuscript production. The second project is the analysis of representations in the complete archive of Vogue magazine over 120 years. We present samples of applying computer vision techniques to understanding the changes in representation of women over time.

Citation Download Citation

Holly Rushmeier, Ruggero Pintus, Ying Yang, Christiana Wong, and David Li "Examples of challenges and opportunities in visual analysis in the digital humanities", Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 939414 (17 March 2015); https://doi.org/10.1117/12.2083342

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