Computer Vision & Multimedia Technologies
From multimedia data to intelligent understanding: discover the technologies that turn digital signals into tools for knowledge.
Download the CV&MT Curriculum Brochure [[Italian only]]
Scientific and Industrial Context
In recent years, computer vision and multimedia processing technologies have experienced exponential growth, driven by the rise of advanced artificial intelligence systems and the availability of massive amounts of visual and audiovisual data. The multimedia sector has undergone a radical transformation, with applications ranging from augmented and virtual reality to automated film production, intelligent surveillance systems, and autonomous driving. The ability to interpret, analyse, and manipulate visual data in real time has become crucial across a wide range of industrial domains, from the automotive to the medical sector, as well as entertainment and digital communications. This context has created a growing demand for professionals capable of developing technological solutions that optimise the management and analysis of multimedia content, addressing complex challenges such as data compression, automatic object detection, and the creation of immersive content. Furthermore, advanced image and video processing techniques are significantly enhancing industrial processes, with applications spanning predictive maintenance, automated production management, and beyond.
Educational Objectives
This study path aims to train experts with advanced skills in the design and development of systems for the automatic processing of images, videos, and multimedia data. The main objective is to provide students with the competencies needed to tackle complex technological challenges related to the interpretation and management of visual data, combining advanced theoretical knowledge with a practical, application-oriented approach. Students will learn to develop algorithms and tools for the automated processing and analysis of multimedia content, using state-of-the-art artificial intelligence and machine learning techniques. The programme also provides skills for integrating these systems into real industrial environments, where the ability to process visual data efficiently and accurately is essential. Finally, topics related to optimisation and scalability will be addressed, ensuring that the developed solutions are applicable in contexts requiring high data throughput and stringent performance. Upon completion, graduates will be equipped to work in strategic sectors such as digital entertainment, healthcare, industrial automation, and advanced communication technologies.
Career Opportunities
Graduates of this curriculum will be prepared for key roles in the technology sector, including Computer Vision Engineer, Multimedia Analyst, AI Specialist, Video Processing Expert, and Data Scientist. Opportunities span industries such as entertainment, healthcare, automotive, cybersecurity, robotics, and smart cities. The market for computer vision and multimedia technologies is rapidly expanding and demands experts capable of driving innovation.
Study Plan Details
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Nome Completo Insegnamento |
S.S.D. |
CFU |
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Primo Semestre |
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Algoritmi e Complessità |
INFO-01/A |
9 |
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Multimedia e Laboratorio (modulare) modulo Multimedia modulo Laboratorio |
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INFO-01/A |
6 |
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INFO-01/A |
3 |
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Crediti a Scelta /oppure/ Machine Learning |
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6 |
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Deep Learning: Core Models and Methods |
INFO-01/A |
6 |
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Secondo Semestre |
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Advanced Computer Graphics |
INFO-01/A |
6 |
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Deep Learning: Advanced Models and Methods |
INFO-01/A |
6 |
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Numerical Methods for Scientific Computing |
MATH/05-A |
6 |
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Crediti a Scelta dello Studente |
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6 |
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Insegnamento a Scelta dal Seguente Gruppo B1: |
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Multimedia Forensics |
INFO-01/A |
6 |
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Computer Security |
INFO-01/A |
6 |
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Semantic Web |
INFO-01/A |
6 |
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Medical Imaging |
INFO-01/A |
6 |
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Terzo Semestre |
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Multimedia Coding |
INFO-01/A |
6 |
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Ottimizzazione |
MATH/06-A |
6 |
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Ulteriori Conoscenze Linguistiche |
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3 |
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Stages e tirocini |
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6 |
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Insegnamento a Scelta dal Seguente Gruppo B2: |
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Software Quality and Project Development |
INFO-01/A |
6 |
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Audio Processing |
INFO-01/A |
6 |
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Multimedia Security and Biometry |
INFO-01/A |
6 |
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Information Technology Law |
INFO-01/A |
6 |
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Quarto Semestre |
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Computer Vision e Laboratorio (modulare) modulo Computer Vision modulo Laboratorio |
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INFO-01/A |
6 |
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INFO-01/A |
3 |
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Generative Artificial Intelligence |
INFO-01/A |
6 |
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Prova finale |
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18 |
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TOTALE CFU |
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120 |
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