{"id":10080,"date":"2025-06-30T17:25:23","date_gmt":"2025-06-30T15:25:23","guid":{"rendered":"https:\/\/www.crs4.it\/people\/maurizio-pintus\/"},"modified":"2026-04-05T20:13:22","modified_gmt":"2026-04-05T18:13:22","slug":"maurizio-pintus","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/maurizio-pintus\/","title":{"rendered":"Maurizio Pintus"},"content":{"rendered":"<p>Maurizio Pintus received the M. Sc. degree in Telecommunications Engineering from the University of Cagliari in 2010. He then worked for a few years as analyst and developer, in particular in the development of Salesforce and iOS applications. In 2014 he joined the Digital Media Applications group of the ICT sector at CRS4, working initially on automatic people recognition in videos within the ACTIVE project through machine learning techniques. He then partecipated in other research projects, studying and utilizing deep learning techniques for image and video classification and content based retrieval in several fields, from traffic analysis to tourism. He become an Expert Researcher in 2021 and he joined the Digital Technologies Sector in 2024. He is currently working on deep learning algorithms for plant and animal classification in precision agriculture.<\/p>\n","protected":false},"featured_media":4100,"template":"","meta":{"_acf_changed":false},"gruppo":[99],"class_list":["post-10080","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-tecnologie-digitali-en"],"acf":{"name":"Maurizio","surname":"Pintus","email":"mpintus@crs4.it","phone":"","user_uuid":"e3c437c0-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"","position":"Researcher","project_coordinator":"","microsoft_academic_id":"","team_members":[{"ID":19597,"post_author":"4","post_date":"2025-07-03 18:20:53","post_date_gmt":"2025-07-03 16:20:53","post_content":"In an era characterized by constant change and timely decisions, the ability to extract knowledge from large flows of information is a key source of competitive advantage for organizations, as well as of social well-being.\nTo meet these opportunities, the DEEP project will develop a prototype platform for data analysis and forecasting, capable of real-time processing large flows of textual and visual content originated from multiple sources characterized by a high-frequency of production.\nThe project covers different research activities, including:\n\n<li>the study and validation of algorithms for the semantic analysis of text (structured and not) in order to extract in real-time trends, behavioral patterns, implicit knowledge;<\/li>\n<li>the study and validation of techniques and algorithms for the interpretation of visual content, such as techniques of computer vision and deep learning for the identification and categorization of objects, people, contexts and landmarks;<\/li>\n<li>the study and development of scalable solutions for real-time processing of the above data streams.<\/li>\n\nA significant part of the project is dedicated to the experimentation, which will be carried out through the creation and deployment of several application prototypes in the fields of Telecommunications, Tourism \/ Cultural Heritage and New Media.","post_title":"DEEP","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"deep","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:43","post_modified_gmt":"2026-04-02 10:34:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/deep\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19608,"post_author":"4","post_date":"2025-07-03 18:21:15","post_date_gmt":"2025-07-03 16:21:15","post_content":"The ESSE3 research project aims to develop, in collaboration with Tiscali Italy SpA, a technology platform providing a set of innovative tools for the interpretation of textual and visual content.\u00a0\nCRS4 will contribute to the project in the following areas:\n\n<li>study and validation of models and algorithms for semantic and opinion analysis of text, aimed to improve text retrieval capabilities;<\/li>\n<li>study and validation of computer vision and deep learning models and techniques, aimed to improve the retrieval capabilities of visual content.<\/li>\n<li>study and development of a cloud platform for archiving, classifying and sharing audiovisual content.<\/li>\n\nThe above tools will serve as the basis for future evolution of strategically important services for Tiscali and will be designed so that they can be reused on their own.","post_title":"ESSE3 DMA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"esse3-dma","to_ping":"","pinged":"","post_modified":"2026-04-02 12:35:04","post_modified_gmt":"2026-04-02 10:35:04","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/esse3-dma\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19651,"post_author":"4","post_date":"2025-07-03 18:22:37","post_date_gmt":"2025-07-03 16:22:37","post_content":"The project started with the aim of developing an <strong>intelligent cataloging platform<\/strong> for adding value to audiovisual archives of the digital content industry, both at production and distribution level.\nThe ACTIVE platform provides the key features for managing audiovisual collections throughout their lifecycle and includes a set of tools for <strong>automatically indexing content by recognizing faces and speakers<\/strong>.\nThe platform can be extended using a <strong>plug-in system<\/strong>. In this way it can be adapted to future needs and scenarios. Plug-ins can use a parallel processing framework to reduce the computation time when handling large amount of data.\nThe platform can be accessed through a web browser and can be integrated with other applications via REST API.\nACTIVE will be released in open source by September 2015.\nThe ACTIVE project is funded by the Programme \"Top-Down Cluster Actions (PO FESR 2007-2013)\", which is aimed at encouraging the collaboration between research organizations and innovative enterprises.\nSeveral enterprises from ICT and digital content industry have joined the ACTIVE project's cluster to contribute with new ideas and suggestions.","post_title":"ACTIVE","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"active","to_ping":"","pinged":"","post_modified":"2026-04-02 12:36:24","post_modified_gmt":"2026-04-02 10:36:24","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/active\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Maurizio Pintus - CRS4<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.crs4.it\/en\/people\/maurizio-pintus\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Maurizio Pintus - CRS4\" \/>\n<meta property=\"og:description\" content=\"Maurizio Pintus received the M. 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