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Visual recognition in the EAGLE Project

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Content based image retrieval; Objects recognition; Local features
Elenco autori:
Vadicamo, Lucia; Amato, Giuseppe; Bolettieri, Paolo; Falchi, Fabrizio; Rabitti, Fausto
Autori di Ateneo:
AMATO GIUSEPPE
BOLETTIERI PAOLO
FALCHI FABRIZIO
VADICAMO LUCIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/334925
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/334925/134266/prod_345249-doc_108274.pdf
Titolo del libro:
IIR 2015 Italian Information Retrieval Workshop Proceedings of the 6th Italian Information Retrieval Workshop
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
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URL

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