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CSMC
CSMCCentre for the Study of Manuscript Cultures

Photo: Esfandiari/UHH

Laboratories

Visual Manuscript Analysis Lab

An example of Rainer Maria Rilke’s notebook pages from the Deutsches Literaturarchiv Marbach (DLA), A: RilkeArchiv Gernsbach. Model predictions are overlaid on the images.

The Visual Manuscript Analysis Lab (VMA) uses advances in AI, computer vision, and pattern recognition to address practical questions arising from the study of historical manuscripts. The VMA is dedicated to the systematic visual analysis of manuscript images, delving into the multifaceted landscape of historical documents with computational precision. The VMA aims to promote a nuanced understanding of the past by applying cutting-edge technology and engaging in collaborative, interdisciplinary research.

Main Research Directions

The research in the VMA spans various topics within the fields of machine learning and computer vision, primarily within the following research directions:

Members