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Visual recognition in the EAGLE Project

Conference Paper
Publication Date:
2015
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Content based image retrieval; Objects recognition; Local features
List of contributors:
Vadicamo, Lucia; Amato, Giuseppe; Bolettieri, Paolo; Falchi, Fabrizio; Rabitti, Fausto
Authors of the University:
AMATO GIUSEPPE
BOLETTIERI PAOLO
FALCHI FABRIZIO
VADICAMO LUCIA
Handle:
https://iris.cnr.it/handle/20.500.14243/334925
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/334925/134266/prod_345249-doc_108274.pdf
Book title:
IIR 2015 Italian Information Retrieval Workshop Proceedings of the 6th Italian Information Retrieval Workshop
Published in:
CEUR WORKSHOP PROCEEDINGS
Series
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Overview

URL

http://ceur-ws.org/Vol-1404/
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