Amato G., Bolettieri P., Falchi F., Vadicamo L.
Content based image retrieval Objects recognition Local features Epigraphy Mobile application
In this paper, we present a system for visually retrieving ancient inscriptions, developed in the context of the ongoing Europeana network of Ancient Greek and Latin Epigraphy (EAGLE) EU Project. The system allows the user in front of an inscription (e.g, in a museum, street, archaeological site) or watching a reproduction (e.g., in a book, from a monitor), to automatically recognize the inscription and obtain information about it just using a smart-phone or a tablet. The experimental results show that the Vector of Locally Aggregated Descriptors is a promising encoding strategy for performing visual recognition in this specific context.
Source: Forma urbis XXI (2016): 22–25.
Publisher: Editorial Service System, Roma , Italia
@article{oai:it.cnr:prodotti:352761, title = {Sistema di riconoscimento delle immagini e mobile app}, author = {Amato G. and Bolettieri P. and Falchi F. and Vadicamo L.}, publisher = {Editorial Service System, Roma , Italia}, year = {2016} }
EAGLE
Europeana network of Ancient Greek and Latin Epigraphy