Document - Visual recognition in the EAGLE Project

2015

Conference article Open Access

Visual recognition in the EAGLE Project

Amato G., Bolettieri P., Falchi F., Rabitti F., Vadicamo L.

Content based image retrieval Objects recognition Local features

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

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:345249,
	title = {Visual recognition in the EAGLE Project},
	author = {Amato G. and Bolettieri P. and Falchi F. and Rabitti F. and Vadicamo L.},
	booktitle = {Italian Information Retrieval Workshop, pp. 2–4, Cagliari, Italy, 25-26/05/2015},
	year = {2015}
}