2015
Other
Restricted
EAGLE image retrieval system
Bolettieri P
This report describes the final implementation of the Image Retrieval System infrastructure developed for the EAGLE (Europeana network of Ancient Greek and Latin Epigraphy) project. The EAGLE project is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In this document we will describe the Image Retrieval System and its API.Project(s): Europeana network of Ancient Greek and Latin Epigraphy
Bolettieri P
This report describes the final implementation of the Image Retrieval System infrastructure developed for the EAGLE (Europeana network of Ancient Greek and Latin Epigraphy) project. The EAGLE project is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In this document we will describe the Image Retrieval System and its API.Project(s): Europeana network of Ancient Greek and Latin Epigraphy
2012
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The content based image retrieval system of the ASSETS project
Bolettieri P
In this technical report we detail the ASSETS (Advanced Search Service and Enhanced Technological Solutions for the European Digital Library) architecture and APIs of the Image indexing and retrieval component. Its goal is to provide a system able to perform effective and efficient similarity search on image documents, including images of scanned manuscripts. The proposed system offers functionality that uses the real content of the images, rather than their metadata only, to search for other documents.Project(s): Advanced Search Services and Enhanced Technological Solutions for the European Digital Library
Bolettieri P
In this technical report we detail the ASSETS (Advanced Search Service and Enhanced Technological Solutions for the European Digital Library) architecture and APIs of the Image indexing and retrieval component. Its goal is to provide a system able to perform effective and efficient similarity search on image documents, including images of scanned manuscripts. The proposed system offers functionality that uses the real content of the images, rather than their metadata only, to search for other documents.Project(s): Advanced Search Services and Enhanced Technological Solutions for the European Digital Library
2019
Software
Metadata Only Access
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 IRIS 
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): Europeana network of Ancient Greek and Latin Epigraphy
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): Europeana network of Ancient Greek and Latin Epigraphy
See at:
CNR IRIS 
| ISTI Repository | play.google.com | CNR IRIS
2012
Software
Restricted
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): Advanced Search Services and Enhanced Technological Solutions for the European Digital Library
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): Advanced Search Services and Enhanced Technological Solutions for the European Digital Library
See at:
CNR IRIS | CNR IRIS | virserv.isti.cnr.it
2022
Software
Metadata Only Access
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 IRIS
2022
Other
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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 IRIS | CNR IRIS | sebd2022.isti.cnr.it
2022
Software
Metadata Only Access
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 IRIS
2022
Other
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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
2020
Other
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AIMH lab website
Bolettieri P
AIMH (Artificial Intelligence for Media and Humanities) laboratory Web site.
Bolettieri P
AIMH (Artificial Intelligence for Media and Humanities) laboratory Web site.
See at:
aimh.isti.cnr.it | CNR IRIS
2021
Journal article
Open Access
Interactive video retrieval in the age of Deep Learning - Detailed evaluation of VBS 2019
Rossetto L, Gasser R, Lokoc J, Bailer W, Schoeffmann K, Muenzer B, Soucek T, Nguyen Pa, Bolettieri P, Leibetseder A, Vrochidis S
Despite the fact that automatic content analysis has made remarkable progress over the last decade - mainly due to significant advances in machine learning - interactive video retrieval is still a very challenging problem, with an increasing relevance in practical applications. The Video Browser Showdown (VBS) is an annual evaluation competition that pushes the limits of interactive video retrieval with state-of-the-art tools, tasks, data, and evaluation metrics. In this paper, we analyse the results and outcome of the 8th iteration of the VBS in detail. We first give an overview of the novel and considerably larger V3C1 dataset and the tasks that were performed during VBS 2019. We then go on to describe the search systems of the six international teams in terms of features and performance. And finally, we perform an in-depth analysis of the per-team success ratio and relate this to the search strategies that were applied, the most popular features, and problems that were experienced. A large part of this analysis was conducted based on logs that were collected during the competition itself. This analysis gives further insights into the typical search behavior and differences between expert and novice users. Our evaluation shows that textual search and content browsing are the most important aspects in terms of logged user interactions. Furthermore, we observe a trend towards deep learning based features, especially in the form of labels generated by artificial neural networks. But nevertheless, for some tasks, very specific content-based search features are still being used. We expect these findings to contribute to future improvements of interactive video search systems.Source: IEEE TRANSACTIONS ON MULTIMEDIA, vol. 23, pp. 243-256
DOI: 10.1109/tmm.2020.2980944
DOI: 10.5167/uzh-189759
DOI: 10.5167/uzh-261502
Metrics:
Rossetto L, Gasser R, Lokoc J, Bailer W, Schoeffmann K, Muenzer B, Soucek T, Nguyen Pa, Bolettieri P, Leibetseder A, Vrochidis S
Despite the fact that automatic content analysis has made remarkable progress over the last decade - mainly due to significant advances in machine learning - interactive video retrieval is still a very challenging problem, with an increasing relevance in practical applications. The Video Browser Showdown (VBS) is an annual evaluation competition that pushes the limits of interactive video retrieval with state-of-the-art tools, tasks, data, and evaluation metrics. In this paper, we analyse the results and outcome of the 8th iteration of the VBS in detail. We first give an overview of the novel and considerably larger V3C1 dataset and the tasks that were performed during VBS 2019. We then go on to describe the search systems of the six international teams in terms of features and performance. And finally, we perform an in-depth analysis of the per-team success ratio and relate this to the search strategies that were applied, the most popular features, and problems that were experienced. A large part of this analysis was conducted based on logs that were collected during the competition itself. This analysis gives further insights into the typical search behavior and differences between expert and novice users. Our evaluation shows that textual search and content browsing are the most important aspects in terms of logged user interactions. Furthermore, we observe a trend towards deep learning based features, especially in the form of labels generated by artificial neural networks. But nevertheless, for some tasks, very specific content-based search features are still being used. We expect these findings to contribute to future improvements of interactive video search systems.Source: IEEE TRANSACTIONS ON MULTIMEDIA, vol. 23, pp. 243-256
DOI: 10.1109/tmm.2020.2980944
DOI: 10.5167/uzh-189759
DOI: 10.5167/uzh-261502
Metrics:
See at:
doi.org | CNR IRIS | ieeexplore.ieee.org | Zurich Open Repository and Archive | IRIS Cnr | doi.org | University of Basel: edoc | IRIS Cnr | IEEE Transactions on Multimedia | CNR IRIS | IRIS Cnr | Zurich Open Repository and Archive
2013
Software
Metadata Only Access
Multimedia enhancement for Lucene to advanced metric pivOting
Bolettieri P, Gennaro C
Melampo is a library that allows you to search for images by visual similarity efficiently through the use of Local and Global features. The visual features are transformed into strings of text suitable to be indexed by a standard search engine full-text (in this implementation we adopted the search-engine open-source Apache Lucene). The library also allows you to search by combining visual similarity with the textual metadata associated with the images.
Bolettieri P, Gennaro C
Melampo is a library that allows you to search for images by visual similarity efficiently through the use of Local and Global features. The visual features are transformed into strings of text suitable to be indexed by a standard search engine full-text (in this implementation we adopted the search-engine open-source Apache Lucene). The library also allows you to search by combining visual similarity with the textual metadata associated with the images.
See at:
github.com | CNR IRIS
2008
Other
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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.
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.
2016
Other
Metadata Only Access
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 IRIS | sites.google.com
2022
Software
Metadata Only Access
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 IRIS
2007
Journal article
Restricted
A digital library framework for reusing e-learning video documents
Bolettieri P, Falchi F, Gennaro C, Rabitti F
The objective of this paper is to demonstrate the reuse of digital content, as video documents or PowerPoint presentations, by exploiting existing technologies for automatic extraction of metadata (OCR, speech recognition, cut detection, MPEG-7 visual descriptors, etc.). The multimedia documents and the extracted metadata are then indexed and managed by the Multimedia Content Management System (MCMS) MILOS, specifically developed to support design and effective implementation of digital library applications. As a result, the indexed digital material can be retrieved by means of content based retrieval on the text extracted and on the MPEG-7 visual descriptors (via similarity search), assisting the user of the e-Learning Library (student or teacher) to retrieve the items not only on the basic bibliographic metadata (title, author, etc.).DOI: 10.1007/978-3-540-75195-3_35
Metrics:
Bolettieri P, Falchi F, Gennaro C, Rabitti F
The objective of this paper is to demonstrate the reuse of digital content, as video documents or PowerPoint presentations, by exploiting existing technologies for automatic extraction of metadata (OCR, speech recognition, cut detection, MPEG-7 visual descriptors, etc.). The multimedia documents and the extracted metadata are then indexed and managed by the Multimedia Content Management System (MCMS) MILOS, specifically developed to support design and effective implementation of digital library applications. As a result, the indexed digital material can be retrieved by means of content based retrieval on the text extracted and on the MPEG-7 visual descriptors (via similarity search), assisting the user of the e-Learning Library (student or teacher) to retrieve the items not only on the basic bibliographic metadata (title, author, etc.).DOI: 10.1007/978-3-540-75195-3_35
Metrics:
See at:
doi.org | CNR IRIS | CNR IRIS | www.springerlink.com
2010
Journal article
Restricted
An approach to content-based image retrieval based on the Lucene search engine library
Gennaro C, Amato G, Bolettieri P, Savino P
Content-based image retrieval is becoming a popular way for searching digital libraries as the amount of available multimedia data increases. However, the cost of developing from scratch a robust and reliable system with content-based image retrieval facilities for large databases is quite prohibitive. In this paper, we propose to exploit an approach to perform approximate similarity search in metric spaces developed by [3,6]. The idea at the basis of these techniques is that when two objects are very close one to each other they 'see' the world around them in the same way. Accordingly, we can use a measure of dissimilarity between the views of the world at different objects, in place of the distance function of the underlying metric space. To employ this idea the low level image features (such as colors and textures) are converted into a textual form and are indexed into the inverted index by means of the Lucene search engine library. The conversion of the features in textual form allows us to employ the Lucene's off-the-shelf indexing and searching abilities with a little implementation effort. In this way, we are able to set up a robust information retrieval system that combines full-text search with content-based image retrieval capabilities.DOI: 10.1007/978-3-642-15464-5_8
Metrics:
Gennaro C, Amato G, Bolettieri P, Savino P
Content-based image retrieval is becoming a popular way for searching digital libraries as the amount of available multimedia data increases. However, the cost of developing from scratch a robust and reliable system with content-based image retrieval facilities for large databases is quite prohibitive. In this paper, we propose to exploit an approach to perform approximate similarity search in metric spaces developed by [3,6]. The idea at the basis of these techniques is that when two objects are very close one to each other they 'see' the world around them in the same way. Accordingly, we can use a measure of dissimilarity between the views of the world at different objects, in place of the distance function of the underlying metric space. To employ this idea the low level image features (such as colors and textures) are converted into a textual form and are indexed into the inverted index by means of the Lucene search engine library. The conversion of the features in textual form allows us to employ the Lucene's off-the-shelf indexing and searching abilities with a little implementation effort. In this way, we are able to set up a robust information retrieval system that combines full-text search with content-based image retrieval capabilities.DOI: 10.1007/978-3-642-15464-5_8
Metrics:
See at:
doi.org | CNR IRIS | CNR IRIS | www.scopus.com | www.springerlink.com
2007
Conference article
Restricted
Automatic metadata extraction and indexing for reusing e-learning multimedia objects
Bolettieri P, Falchi F, Gennaro C, Rabitti F
In this paper we present the architecture of a Digital Library for enabling the reusing of audiovisual documents in an e-Learning context. The reuse of Learning Objects is based on automatically extracted descriptors carrying a semantic meaning for the professional that uses these Learning Objects to prepare new interactive multimedia lectures. The presented system is based on MILOS, a general purpose Multimedia Content Management System created to support design and effective implementation of digital library applications. MILOS supports the storage andcontent based retrieval of any multimedia documents whose descriptions are provided by using arbitrary metadata models represented in XML. The objective is to demonstrate the reuse of digital content, as video documents or Power Point presentations, by exploiting existing technologies for automatic extraction of metadata (OCR, speech recognition, cut detection, MPEG-7 visual descriptors, etc.). The search interface assists the user of the system in the retrieval the multimedia objects in the collection, by combining full-text retrieval on text extracted and metadata, and similarity search on the MPEG-7 visual descriptors.DOI: 10.1145/1290067.1290072
Metrics:
Bolettieri P, Falchi F, Gennaro C, Rabitti F
In this paper we present the architecture of a Digital Library for enabling the reusing of audiovisual documents in an e-Learning context. The reuse of Learning Objects is based on automatically extracted descriptors carrying a semantic meaning for the professional that uses these Learning Objects to prepare new interactive multimedia lectures. The presented system is based on MILOS, a general purpose Multimedia Content Management System created to support design and effective implementation of digital library applications. MILOS supports the storage andcontent based retrieval of any multimedia documents whose descriptions are provided by using arbitrary metadata models represented in XML. The objective is to demonstrate the reuse of digital content, as video documents or Power Point presentations, by exploiting existing technologies for automatic extraction of metadata (OCR, speech recognition, cut detection, MPEG-7 visual descriptors, etc.). The search interface assists the user of the system in the retrieval the multimedia objects in the collection, by combining full-text retrieval on text extracted and metadata, and similarity search on the MPEG-7 visual descriptors.DOI: 10.1145/1290067.1290072
Metrics:
See at:
dl.acm.org | doi.org | CNR IRIS | CNR IRIS
2009
Conference article
Restricted
Detection of images with adult content for parental control on mobile devices
Amato G, Bolettieri P, Costa G, La Torre F, Martinelli F
In this paper we present a prototype for parental control that detects images with adult content received on a mobile device. More specifically, the application that we developed is able to intercept images received through various communication channels (bluetooth, MMS) on mobile devices based on the SymbianTM operating systems. Once intercepted, the images are analysed by the component of the system that automatically classify images with explicit sexual content. At the current stage the application that intercept images runs on the mobile device, the classifier runs on a remote server.DOI: 10.1145/1710035.1710070
Metrics:
Amato G, Bolettieri P, Costa G, La Torre F, Martinelli F
In this paper we present a prototype for parental control that detects images with adult content received on a mobile device. More specifically, the application that we developed is able to intercept images received through various communication channels (bluetooth, MMS) on mobile devices based on the SymbianTM operating systems. Once intercepted, the images are analysed by the component of the system that automatically classify images with explicit sexual content. At the current stage the application that intercept images runs on the mobile device, the classifier runs on a remote server.DOI: 10.1145/1710035.1710070
Metrics:
See at:
dl.acm.org | doi.org | CNR IRIS | CNR IRIS
2007
Other
Metadata Only Access
VICE Comunità Virtuali per l'Educazione - Progetto MIUR
Bolettieri P, Gennaro C, Rabitti F
Il progetto si propone di sviluppare una piattaforma innovativa per la messa a punto di applicazioni di formazione, fruibili dove e quando necessario, anche a distanza, con elevato supporto tecnologico. Il progetto affronta uno dei temi applicativi socialmente e tecnicamente più interessanti per i prossimi anni sarà sicuramente quello dalla e-formazione: formazione offerta a professionisti ed aziende, con paradigmi di business e con strumenti tecnologici tipici della e-economy. La continua innovazione della società (in senso organizzativo, economico, tecnologico, ecc.) rende evidente la necessità di non più considerare la formazione, anche ad alto od altissimo livello, come terminata alla fine del ciclo canonico di studi (sia esso un diploma, una laurea, una laurea specialistica o, addirittura, un dottorato). E pertanto necessario sviluppare infrastrutture organizzative, metodologiche e tecnologiche perché sia possibile una formazione continua a professionisti e personale inserito in aziende, per tutto il resto della loro vita professionale.
Bolettieri P, Gennaro C, Rabitti F
Il progetto si propone di sviluppare una piattaforma innovativa per la messa a punto di applicazioni di formazione, fruibili dove e quando necessario, anche a distanza, con elevato supporto tecnologico. Il progetto affronta uno dei temi applicativi socialmente e tecnicamente più interessanti per i prossimi anni sarà sicuramente quello dalla e-formazione: formazione offerta a professionisti ed aziende, con paradigmi di business e con strumenti tecnologici tipici della e-economy. La continua innovazione della società (in senso organizzativo, economico, tecnologico, ecc.) rende evidente la necessità di non più considerare la formazione, anche ad alto od altissimo livello, come terminata alla fine del ciclo canonico di studi (sia esso un diploma, una laurea, una laurea specialistica o, addirittura, un dottorato). E pertanto necessario sviluppare infrastrutture organizzative, metodologiche e tecnologiche perché sia possibile una formazione continua a professionisti e personale inserito in aziende, per tutto il resto della loro vita professionale.
See at:
CNR IRIS