Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Sistema di riconoscimento delle immagini e mobile app

Academic Article
Publication Date:
2016
abstract:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Content based image retrieval; Objects recognition; Local features; Epigraphy; Mobile application
List of contributors:
Vadicamo, Lucia; Amato, Giuseppe; Bolettieri, Paolo; Falchi, Fabrizio
Authors of the University:
AMATO GIUSEPPE
BOLETTIERI PAOLO
FALCHI FABRIZIO
VADICAMO LUCIA
Handle:
https://iris.cnr.it/handle/20.500.14243/313709
Published in:
FORMA URBIS
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)