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.
In questo articolo presentiamo un sistema di riconoscimento visuale di iscrizioni latine e greche, realizzato durante il progetto europeo EAGLE, Europeana network of Ancient Greek and Latin Epigraphy. Il sistema permette di inquadrare un'epigrafe con la camera di uno smartphone/tablet (in un museo, in un sito archeologico, per strada), e ricevere informazioni culturali associate ad essa. Gli esperimenti hanno dimostrato che la tecnica VLAD (Vector of Locally Aggregated Descriptors) è molto promettente in questo contesto.
Sistema di riconoscimento delle immagini e mobile app
VADICAMO, LUCIA
2016-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
