Chandna, S.

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KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association     Institute for Data Processing and Electronics Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen www.ipe.kit.edu • Joint research project of Darmstadt, Trier and Karlsruhe • Funded by the Federal Ministry of Research and Education (BMBF) • In cooperation with DARIAH-DE (Digital Research Infrastructure for the Arts and Humanities)        Algorithms for Automatic Tagging of Medieval Manuscripts Swati Chandna Aims  • Automatic identification of macro and micro structural    layout elements, e.g. number of lines • Statistical analysis of objectified, reproducible and at micro level differentiated features • Visual analysis of hidden relationships between many groups of codices  Data Processing and Visualization • Data Handling: data is managed by repository using KIT Data Manager services • Preprocessing of the manuscript images: color calibration, spatial calibration and noise removal • Object Segmentation: pages, images, text areas • Feature Extraction:  e.g. page size, pictorial space, written space • Metadata: results are extended in XML schema according to TEI P5 in DARIAH Annotation Infrastructure • Visual Analysis: gain better insights into multi dimensional datasets of digitized medieval manuscripts        Virtual Scriptorium St. Matthias • Digital reconstruction of the library of the  Benedictine abbey St. Matthias, Trier • 440 codices (8th – 16th century) • 170,000 digitized codex pages • 1,000,000 files in various formats (~5 TB) • Online available: http://stmatthias.uni-trier.de 																																																   Extraction of Manuscript Layout Features 					Preprocessing Segmentation  Feature Extraction Data Storage 																																				    Statistical and Visual Analysis 					Statistical Analysis Visual  Analysis Co-relations 																																	    Data Handling 					Data Ingest Data Access Workflow for the extraction of layout features pictorial space  page size, written space,  An example of interactive visual analysis with highlighted dataset 

eCodicology : Algorithms for the automatic tagging of medieval manuscripts

https://publikationen.bibliothek.kit.edu/220096909/3816593

eCodicology : Algorithms for the automatic tagging of medieval manuscripts

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