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Visualizing and Transcribing Complex Writings Through RTI

conferencePaper

DOI:10.1109/CIST.2018.8596602
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Authors: Ponchio Federico / Lame Marion / Scopigno Roberto / Robertson Bruce

Extracted Abstract:

—This paper presents our digital publishing process and its editing system developed for a specific use case – the scholarly digital edition of a set of Roman inscribed lead tags – but suited for analyzing a broad variety of text-bearing objects. This pipeline covers the spectrum of the activities from data acquisition of the visual aspects to complex analysis of the writings and text of incised inscriptions. It employs a two- dimensional medium, Reflection Transformation Images (RTI), to support visual analysis. The visual and textual data it generates are open access, ready to be used for machine learning processes. Index Terms—Language technologies for Cultural Heritage, Digital Epigraphy, Digitization, Visualization, Reflection Trans- formation Images, Digital Autoptic Process, Paleography I.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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