Paolo Bolettieri

Paolo Bolettieri
Italian National Research Council | CNR · Institute of Information Science and Technology "Alessandro Faedo" ISTI

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38
Publications
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Publications

Publications (38)
Chapter
VISIONE is a content-based retrieval system that supports various search functionalities (text search, object/color-based search, semantic and visual similarity search, temporal search). It uses a full-text search engine as a search backend. In the latest version of our system, we modified the user interface, and we made some changes to the techniq...
Technical Report
Full-text available
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2021 activiti...
Article
Full-text available
This paper describes in detail VISIONE, a video search system that allows users to search for videos using textual keywords, the occurrence of objects and their spatial relationships, the occurrence of colors and their spatial relationships, and image similarity. These modalities can be combined together to express complex queries and meet users' n...
Chapter
This paper presents the second release of VISIONE, a tool 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. One of the main features of our...
Technical Report
Full-text available
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2020 activiti...
Preprint
Full-text available
In this paper, we describe VISIONE, a video search system that allows users to search for videos using textual keywords, occurrence of objects and their spatial relationships, occurrence of colors and their spatial relationships, and image similarity. These modalities can be combined together to express complex queries and satisfy user needs. The p...
Technical Report
Full-text available
The Artificial Intelligence for Multimedia Information Retrieval (AIMIR) research group is part of the NeMIS laboratory of the Information Science and Technologies Institute ``A. Faedo'' (ISTI) of the Italian National Research Council (CNR). The AIMIR group has a long experience in topics related to: Artificial Intelligence, Multimedia Information...
Chapter
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Since the 1970’s the Content-Based Image Indexing and Retrieval (CBIR) has been an active area. Nowadays, the rapid increase of video data has paved the way to the advancement of the technologies in many different communities for the creation of Content-Based Video Indexing and Retrieval (CBVIR). However, greater attention needs to be devoted to th...
Conference Paper
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In this article, we present a scenario for monitoring the occupancy of parking spaces in the historical city of Lucca (Italy) based on the use of intelligent cameras and the most modern technologies of artificial intelligence. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available, we pr...
Conference Paper
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La visita a musei o a luoghi di interesse di città d'ar-te può essere completamente reinventata attraverso modalità di fruizione moderne e dinamiche, basa-te su tecnologie di riconoscimento e localizzazione visuale, ricerca per immagini e visualizzazioni in realtà aumentata. Da anni il gruppo di ricerca AI-MIR porta avanti attività di ricerca su qu...
Conference Paper
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In this paper we present a Wireless Sensor Network (WSN), which is intended to provide a scalable solution for active cooperative monitoring of wide geographical areas. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available a powerful embedded hardware implements a Deep Neural Network, o...
Conference Paper
Content-Based Image Retrieval in large archives through the use of visual features has become a very attractive research topic in recent years. The cause of this strong impulse in this area of research is certainly to be attributed to the use of Convolutional Neural Network (CNN) activations as features and their outstanding performance. However, p...
Conference Paper
An increasing number of people share their thoughts and the images of their lives on social media platforms. People are exposed to food in their everyday lives and share on-line what they are eating by means of photos taken to their dishes. The hashtag #foodporn is constantly among the popular hashtags in Twitter and food photos are the second most...
Conference Paper
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Surrogate Text Representation (STR) is a profitable solution to efficient similarity search on metric space using conventional text search engines, such as Apache Lucene. This technique is based on comparing the permutations of some reference objects in place of the original metric distance. However, the Achilles heel of STR approach is the need to...
Conference Paper
Full-text available
This demonstration paper describes the mobile application developed by the EAGLE project to increase the use and visibility of its epigraphic material. The EAGLE project (European network of Ancient Greek and Latin Epigraphy) is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible thro...
Article
Full-text available
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...
Conference Paper
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Vector of locally aggregated descriptors (VLAD) is a promising approach for addressing the problem of image search on a very large scale. This representation is proposed to overcome the quantization error problem faced in Bag-of-Words (BoW) representation. In this paper, we propose to enable inverted files of standard text search engines to exploit...
Conference Paper
Full-text available
Vector of locally aggregated descriptors (VLAD) is a promising approach for addressing the problem of image search on a very large scale. This representation is proposed to overcome the quantization error problem faced in Bag-of-Words (BoW) representation. However, text search engines have not be used yet for indexing VLAD given that it is not a sp...
Conference Paper
Similarity search technique has been proved to be an effective way for retrieving multimedia content. However, as the amount of available multimedia data increases, the cost of developing from scratch a robust and scalable system with content-based image retrieval facilities is quite prohibitive. In this paper, we propose to exploit an approach tha...
Conference Paper
Full-text available
In this paper we propose a novel approach that allows processing image content based queries expressed as arbitrary combinations of local and global visual features, by using a single index realized as an inverted file. The index was implemented on top of the Lucene retrieval engine. This is particularly useful to allow people to efficiently and in...
Conference Paper
Full-text available
We present the VIsual Support to Interactive TOurism in Tuscany (VISITO Tuscany) project which offers an interactive guide for tourists visiting cities of art accessible via smartphones. The peculiarity of the system is that user interaction is mainly obtained by the use of images -- In order to receive information on a particular monument users ju...
Conference Paper
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 approa...
Article
Full-text available
In this paper, the performance of several visual features is evaluated in automatically recognizing landmarks (monuments, statues, buildings, etc.) in pictures. A number of landmarks were selected for the test. Pictures taken from a test set were classified automatically trying to guess which landmark they contained. We evaluated both global and lo...
Article
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The scalability, as well as the effectiveness, of the different Content-based Image Retrieval (CBIR) approaches proposed in literature, is today an important research issue. Given the wealth of images on the Web, CBIR systems must in fact leap towards Web-scale datasets. In this paper, we report on our experience in building a test collection of 10...
Conference Paper
Full-text available
In this paper we present a prototype for parental control that de- tects 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 (blue- tooth, MMS) on mobile devices based on the SymbianTM oper- ating systems. Once interce...
Conference Paper
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In this paper we present the web user interface of a scalable and distributed system for image retrieval based on visual features and annotated text, developed in the context of the SAPIR project. Its ar- chitecture makes use of Peer-to-Peer networks to achieve scalability and eciency allowing the management of huge amount of data and simulta- neou...
Conference Paper
Full-text available
In this paper we present a prototype system to enrich au- diovisual contents with annotations, which exploits exist- ing technologies for automatic extraction of metadata (such as OCR, speech recognition, cut detection, visual descrip- tors, etc.). The prototype relies on a metadata model that unifies MPEG-7 and LOM descriptions to edit and enrich...
Conference Paper
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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 manag...
Conference Paper
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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...
Conference Paper
In this paper we present the MILOS1 Multimedia Content Management System. MILOS supports the storage and content based retrieval of any multimedia documents whose descriptions are provided by using arbitrary metadata models represented in XML. It provides developers of digital library applications with functionalities for dealing with heterogeneous...
Conference Paper
Full-text available
The digital library field is recently broadening its scope of applicability and it is also continuously adapting to the frequent changes occurring in the internet society. Accordingly, digital libraries are slightly moving from a controlled environment accessible only to professionals and domain-experts, to environments accessible to casual users t...
Conference Paper
Full-text available
Building new digital library applications requires a developement plat- form that offers standard and powerful building blocks to support application de- velopers. In this paper we discuss our experience of using MILOS, a multimedia content management system oriented to the construction of digital libraries, to build a demanding application dedicat...
Article
Full-text available
This report describes the MILOS Multimedia Content Management System: a general purpose software component tailored to support de-sign and effective implementation of any digital library application. MI-LOS supports the storage and content based retrieval of any multimedia documents whose descriptions are provided by using arbitrary metadata models...

Projects

Project (1)
Archived project
ASSETS was a 2 year project- co-funded by the CIP Policy Support Programme- which aimed at improving the usability of Europeana by developing, implementing and deploying software services focused on search, browsing and interfaces. ASSETS mission was also to make more digital items available on Europeana by involving content providers across different cultural environments. The MIR research group was mainly involved in developing efficient and effective image retrieval solutions to access the Europeana archive