Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History.
Bell P, Ommer B, Schlecht J (2013)
Publication Language: English
Publication Type: Journal article
Publication year: 2013
Journal
Book Volume: 29
Pages Range: 26-37
Journal Issue: 1-2
DOI: 10.1080/01973762.2013.761111
Open Access Link: https://doi.org/10.1080/01973762.2013.761111
Abstract
This contribution discusses how computer vision combined with art history can analyze the visual codes and artistic representations of embodied communication represented in medieval culture. Our computer-based detection algorithms are able to search directly for gestures in images and thus avoid limitations of retrieval systems that search only textual annotations. As a result, art history is provided not only with a system that enables efficient access to large image datasets, but also a quantitative analysis of the variability and interrelation among gestures or between gestures and other objects.
We base our approach on one of four illustrated manuscripts of Eike von Repgow's (ca. 1180–ca. 1235) Sachsenspiegel (Mirror of the Saxons), which reveals a visual grammar that arranges the gestures to a certain extent, but within that framework, the drafter composes freely and with artistic perspective.
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Germany (DE)How to cite
APA:
Bell, P., Ommer, B., & Schlecht, J. (2013). Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History. Visual Resources, 29(1-2), 26-37. https://dx.doi.org/10.1080/01973762.2013.761111
MLA:
Bell, Peter, Björn Ommer, and Joseph Schlecht. "Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History." Visual Resources 29.1-2 (2013): 26-37.
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