2022
Other
Unknown
SEBD 2022 Web Portal
Bolettieri P.
Web Portal of the thirtieth edition of the Italian Symposium on Advanced Database Systems SEBD 2022
Bolettieri P.
Web Portal of the thirtieth edition of the Italian Symposium on Advanced Database Systems SEBD 2022
See at: CNR ExploRA | sebd2022.isti.cnr.it
2022
Software
Unknown
Extension image recognition system
Bolettieri P., Vairo C.
Image recognition system realised for the ESA Extension project. The system is able to visually recognise the main monuments of the city of L'Aquila.
Bolettieri P., Vairo C.
Image recognition system realised for the ESA Extension project. The system is able to visually recognise the main monuments of the city of L'Aquila.
See at: gitea-s2i2s.isti.cnr.it | CNR ExploRA
2022
Software
Unknown
Image analysis and recognition system for artworks
Bolettieri P.
Image analysis and recognition system realised for Cy4Gate subcontracting project. The system is able to recognise artworks in a database of millions of images.
Bolettieri P.
Image analysis and recognition system realised for Cy4Gate subcontracting project. The system is able to recognise artworks in a database of millions of images.
See at: gitea-s2i2s.isti.cnr.it | CNR ExploRA
2022
Other
Unknown
Image analysis and recognition system for artworks, installazione e configurazione
Bolettieri P.
Manuale di installazione, configurazione e uso del sistema di analisi e ricerca per immagini realizzato per il progetto conto terzi con Cy4Gate
Bolettieri P.
Manuale di installazione, configurazione e uso del sistema di analisi e ricerca per immagini realizzato per il progetto conto terzi con Cy4Gate
See at: CNR ExploRA
2020
Other
Unknown
AIMH lab website
Bolettieri P.
Realizzazione del sito Web per il nuovo laboratorio AIMH, Artificial Intelligence for Media and Humanities, dell'ISTI. Il sito è stato realizzato con Worpress.
Bolettieri P.
Realizzazione del sito Web per il nuovo laboratorio AIMH, Artificial Intelligence for Media and Humanities, dell'ISTI. Il sito è stato realizzato con Worpress.
See at: aimh.isti.cnr.it | CNR ExploRA
2018
Software
Unknown
Art, Artworks Visual Retrieval
Amato G., Bolettieri P., Gennaro C.
A content-based image retrieval system for artworks. The system allows searching for artworks in an index of about 100.000 images, by the query by example paradigm.
Amato G., Bolettieri P., Gennaro C.
A content-based image retrieval system for artworks. The system allows searching for artworks in an index of about 100.000 images, by the query by example paradigm.
See at: art.isti.cnr.it | CNR ExploRA
2019
Software
Unknown
pyfatture
Bolettieri P.
Software per la gestione delle fatture telefoniche mobile dell'istituto. Il programma analizza le fatture CSV della Convenzione Mobile 7, suddivide in costi per utenze e laboratori, evidenziando eventuali anomalie, e genera report Excel che vengono automaticamente inviati all'amministrazione dell'istituto ed ai responsabili di laboratorio. Il software è stato realizzato in Python.
Bolettieri P.
Software per la gestione delle fatture telefoniche mobile dell'istituto. Il programma analizza le fatture CSV della Convenzione Mobile 7, suddivide in costi per utenze e laboratori, evidenziando eventuali anomalie, e genera report Excel che vengono automaticamente inviati all'amministrazione dell'istituto ed ai responsabili di laboratorio. Il software è stato realizzato in Python.
See at: CNR ExploRA
2016
Other
Unknown
Portale per la gestione della telefonia mobile ISTI
Bolettieri P., Gennaro C.
Portale per la gestione della telefonia mobile ISTI. Il portale presenta le informazioni principali sulla convenzione mobile, sintetizza i costi, rende disponibile una FAQ per i problemi comuni e fornisce modulistica e contatti.
Bolettieri P., Gennaro C.
Portale per la gestione della telefonia mobile ISTI. Il portale presenta le informazioni principali sulla convenzione mobile, sintetizza i costi, rende disponibile una FAQ per i problemi comuni e fornisce modulistica e contatti.
See at: CNR ExploRA | sites.google.com
2019
Software
Open Access
EAGLE-IDEA Mobile App
Bolettieri P.
EAGLE-IDEA is a mobile app to visually recognize Greek and Latin inscriptions. This app is able to visually recognize approximately a million inscriptions collected by the EAGLE project. It is available on Google Play Store for Android smartphones.Project(s): EAGLE
Bolettieri P.
EAGLE-IDEA is a mobile app to visually recognize Greek and Latin inscriptions. This app is able to visually recognize approximately a million inscriptions collected by the EAGLE project. It is available on Google Play Store for Android smartphones.Project(s): EAGLE
See at:
ISTI Repository 
| play.google.com | CNR ExploRA
2012
Software
Unknown
ASSETS Content-Based Image Retrieval Web App
Bolettieri P.
This Web app allows users to evaluate the Content-Based Image Retrieval system of the ASSETS (Advanced Search Service and Enhanced Technological Solutions for the European Digital Library) project. The system allows performing visual query by example on the ASSETS-Europeana image dataset.Project(s): ASSETS
Bolettieri P.
This Web app allows users to evaluate the Content-Based Image Retrieval system of the ASSETS (Advanced Search Service and Enhanced Technological Solutions for the European Digital Library) project. The system allows performing visual query by example on the ASSETS-Europeana image dataset.Project(s): ASSETS
See at: CNR ExploRA | virserv.isti.cnr.it
2013
Journal article
Open Access
Large scale image retrieval using vector of locally aggregated descriptors
Amato G., Bolettieri P., Falchi F., Gennaro C.
We propose using vectors of locally aggregated descriptors (VLAD) to address the problem of image search on a very large scale. We expect that this technique will overcome the quantization error problem faced in Bag-of-Words (BoW) representations.Source: ERCIM news 95 (2013): 36–37.
Amato G., Bolettieri P., Falchi F., Gennaro C.
We propose using vectors of locally aggregated descriptors (VLAD) to address the problem of image search on a very large scale. We expect that this technique will overcome the quantization error problem faced in Bag-of-Words (BoW) representations.Source: ERCIM news 95 (2013): 36–37.
See at:
ercim-news.ercim.eu | CNR ExploRA
2008
Report
Unknown
MILOS technical reference 2.0
Bolettieri P., Amato G.
This report is the Technical Reference (v2.0) of MILOS Multimedia Content Management System. MILOS is a general purpose software component tailored to support design and effective implementation of any digital library application. It supports the storage and content based retrieval of any multimedia documents whose descriptions are provided by using arbitrary metadata models represented in XML.Source: ISTI Technical reports, pp.1–27, 2008
Bolettieri P., Amato G.
This report is the Technical Reference (v2.0) of MILOS Multimedia Content Management System. MILOS is a general purpose software component tailored to support design and effective implementation of any digital library application. It supports the storage and content based retrieval of any multimedia documents whose descriptions are provided by using arbitrary metadata models represented in XML.Source: ISTI Technical reports, pp.1–27, 2008
See at: CNR ExploRA
2017
Report
Unknown
SmartPark@Lucca - D3. Progettazione e realizzazione delle telecamere intelligenti
Amato G., Bolettieri P., Gennaro C., Leone G. R., Moroni D., Pieri G., Vairo C.
In questo deliverable sono descritte le attivita? eseguite all'interno del WP1, in particolare relative al Task 1.3 - Realizzazione HW.Source: Project report, SmartPark@Lucca, Deliverable D3, pp.1–15, 2017
Amato G., Bolettieri P., Gennaro C., Leone G. R., Moroni D., Pieri G., Vairo C.
In questo deliverable sono descritte le attivita? eseguite all'interno del WP1, in particolare relative al Task 1.3 - Realizzazione HW.Source: Project report, SmartPark@Lucca, Deliverable D3, pp.1–15, 2017
See at: CNR ExploRA
2017
Software
Open Access
Visual food recognition
Amato G., Bolettieri P., Gennaro C.
Visual Food Recognition is a Web application that allows users to visually recognize food images. It leverages deep learning techniques based on CNNs. To perform food recognition, we used a pre-trained GoogLeNet, fine-tuned with a further training process on images from the ETHZ Food-101 dataset.
Amato G., Bolettieri P., Gennaro C.
Visual Food Recognition is a Web application that allows users to visually recognize food images. It leverages deep learning techniques based on CNNs. To perform food recognition, we used a pre-trained GoogLeNet, fine-tuned with a further training process on images from the ETHZ Food-101 dataset.
See at:
ISTI Repository | food.isti.cnr.it | CNR ExploRA
2022
Software
Unknown
Pyfatture v2.0
Bolettieri P.
Release 2.0 per il software per la gestione delle fatture telefoniche mobile dell'istituto. Il programma analizza le fatture CSV della Convenzione Mobile 8, suddivide in costi per utenze e laboratori, evidenziando eventuali anomalie, e genera report Excel che vengono automaticamente inviati all'amministrazione dell'istituto ed ai responsabili di laboratorio. Il software è stato realizzato in Python.
Bolettieri P.
Release 2.0 per il software per la gestione delle fatture telefoniche mobile dell'istituto. Il programma analizza le fatture CSV della Convenzione Mobile 8, suddivide in costi per utenze e laboratori, evidenziando eventuali anomalie, e genera report Excel che vengono automaticamente inviati all'amministrazione dell'istituto ed ai responsabili di laboratorio. Il software è stato realizzato in Python.
See at: CNR ExploRA
2020
Software
Unknown
Visione II
Amato G., Bolettieri P., Carrara F., Falchi F., Gennaro C., Messina N., Vadicamo L., Vairo C.
VISIONE II is a content-based video retrieval system for effective video search on large-scale collections. It allows users to search for videos using textual descriptions, keywords, occurrence of objects and their spatial relationships, occurrence of colors and their spatial relationships, and image similarity.
Amato G., Bolettieri P., Carrara F., Falchi F., Gennaro C., Messina N., Vadicamo L., Vairo C.
VISIONE II is a content-based video retrieval system for effective video search on large-scale collections. It allows users to search for videos using textual descriptions, keywords, occurrence of objects and their spatial relationships, occurrence of colors and their spatial relationships, and image similarity.
See at: bilioso.isti.cnr.it | CNR ExploRA
2022
Software
Unknown
Visione IV
Amato G., Bolettieri P., Carrara F., Falchi F., Gennaro C., Messina N., Vadicamo L., Vairo C.
VISIONE IV is the fourth release of a tool for fast and effective video search on a large-scale dataset. It includes several search functionalities like text search, object and color-based search, semantic and visual similarity search, and temporal search.
Amato G., Bolettieri P., Carrara F., Falchi F., Gennaro C., Messina N., Vadicamo L., Vairo C.
VISIONE IV is the fourth release of a tool for fast and effective video search on a large-scale dataset. It includes several search functionalities like text search, object and color-based search, semantic and visual similarity search, and temporal search.
See at: CNR ExploRA | visione.isti.cnr.it
2023
Report
Unknown
SUN D1.1 - Management Website
Amato G., Bolettieri P., Gennaro C., Vadicamo L., Vairo C.
Report describing the online web accessible repository for all project-related documentation, which serves as the primary means for project partners to manage and share documents of the project. https://wiki.sun-xr-project.euSource: ISTI Project Report, SUN, D1.1, 2023
Amato G., Bolettieri P., Gennaro C., Vadicamo L., Vairo C.
Report describing the online web accessible repository for all project-related documentation, which serves as the primary means for project partners to manage and share documents of the project. https://wiki.sun-xr-project.euSource: ISTI Project Report, SUN, D1.1, 2023
See at: CNR ExploRA
2006
Software
Unknown
MILOS Multimedia Content Management System
Rabitti F., Amato G., Savino P., Debole F., Bolettieri P., Falchi F.
MILOS is a multimedia content management system specialised to support multimedia digital library applications. MILOS provides applications with functionalities for the storage of arbitrary multimedia documents and their content based retrieval using arbitrary metadata models represented in XML. MILOS is flexible in the management of documents containing different types of data and content descriptions; it is efficient and scalable in the storage and content based retrieval of these documents.
Rabitti F., Amato G., Savino P., Debole F., Bolettieri P., Falchi F.
MILOS is a multimedia content management system specialised to support multimedia digital library applications. MILOS provides applications with functionalities for the storage of arbitrary multimedia documents and their content based retrieval using arbitrary metadata models represented in XML. MILOS is flexible in the management of documents containing different types of data and content descriptions; it is efficient and scalable in the storage and content based retrieval of these documents.
See at: CNR ExploRA
2011
Journal article
Unknown
VISITO Tuscany: landmark recognition for cultural heritage
Amato G., Falchi F., Bolettieri P.
VISITO Tuscany (VIsual Support to Interactive TOurism in Tuscany) is a research project which investigates techniques for producing an interactive guide, accessible via smartphone, for tourists visiting cities of art. The system applies image analysis and content recognition techniques to recognize photographed monuments. The user just has to take a picture of a tourist landmark to obtain pertinent information on his or her smartphone.Source: ERCIM news 86 (2011): 22–23.
Amato G., Falchi F., Bolettieri P.
VISITO Tuscany (VIsual Support to Interactive TOurism in Tuscany) is a research project which investigates techniques for producing an interactive guide, accessible via smartphone, for tourists visiting cities of art. The system applies image analysis and content recognition techniques to recognize photographed monuments. The user just has to take a picture of a tourist landmark to obtain pertinent information on his or her smartphone.Source: ERCIM news 86 (2011): 22–23.
See at: CNR ExploRA