PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Amato G., Bolettieri P., Falchi F., Rabitti F., Vadicamo L. Visual recognition in the EAGLE project. In: IIR 2015 - Italian Information Retrieval Workshop (Cagliari, Italy, 25-26 May 2015). Atti, article n. 2. Paolo Boldi, Raffaele Perego, Fabrizio Sebastiani (eds.). (CEUR Workshop Proceedings, vol. 1404). CEUR-WS.org, 2015.
 
 
Abstract
(English)
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.
URL: http://ceur-ws.org/Vol-1404/
Subject Content based image retrieval
Objects recognition
Local features
H.3.3 Information Search and Retrieval


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