Visual recognition in the EAGLE Project Amato G., Bolettieri P., Falchi F., Rabitti F., Vadicamo L. In this paper, we present a system for visually retrieving an- cient 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 experi- mental results show that the Vector of Locally Aggregated Descriptors is a promising encoding strategy for performing visual recognition in this specific context.Source: Italian Information Retrieval Workshop, pp. 2–4, Cagliari, Italy, 25-26/05/2015 Project(s): EAGLE
Searching the EAGLE epigraphic material through image recognition via a mobile device Bolettieri P., Casarosa V., Falchi F., Vadicamo L., Martineau P., Orlandi S., Santucci R. This demonstration paper describes the mobile application developed by the EAGLE project to increase the use and visibility of its epigraphic material. The EAGLE project (European network of Ancient Greek and Latin Epigraphy) is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In order to increase the usefulness and visibility of its content, EAGLE has developed also a mobile application to enable tourists and scholars to obtain detailed information about the inscriptions they are looking at by taking pictures with their smartphones and sending them to the EAGLE portal for recognition. In this demonstration paper we describe the EAGLE mobile application and give an outline of its features and its architecture.Source: Similarity Search and Applications. 8th International Conference, pp. 351–354, Glasgow, UK, 12-14/10/2015 DOI: 10.1007/978-3-319-25087-8_35 Project(s): EAGLE Metrics: