Document - Visualizing and transcribing complex writings through RTI

2018

Conference article Open Access

Visualizing and transcribing complex writings through RTI

Ponchio F., Lamè M., Scopigno R., Robertson B.

Archaeology Inscriptions RTI Roman Text Reflection Transformation Images (RTI)

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 twodimensional 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.

Source: CiST 2018 - IEEE 5th International Congress on Information Science and Technology, pp. 227–231, Marrakech, Marocco, 22-24 October 2018

Publisher: IEEE Computer Society, Long Beach (Calif.), USA

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@inproceedings{oai:it.cnr:prodotti:393242,
	title = {Visualizing and transcribing complex writings through RTI},
	author = {Ponchio F. and Lamè M. and Scopigno R. and Robertson B.},
	publisher = {IEEE Computer Society, Long Beach (Calif.), USA},
	doi = {10.1109/cist.2018.8596602},
	booktitle = {CiST 2018 - IEEE 5th International Congress on Information Science and Technology, pp. 227–231, Marrakech, Marocco, 22-24 October 2018},
	year = {2018}
}