Work

Visual recognition in the EAGLE Project

Year: 2015

Type: conference-paper

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.

Source: CINECA IRIS Institutial research information system (University of Pisa)

Authors: Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Fausto Rabitti, Lucia Vadicamo

Institutions: National Research Council, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2406984396

FWCI:

Cites: 12

Cited by:

Related to: 10