CODE 90689 ACADEMIC YEAR 2025/2026 CREDITS 6 cfu anno 1 DIGITAL HUMANITIES - INTERACTIVE SYSTEMS AND DIGITAL MEDIA 11945 (LM-92 R) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INF/01 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester MODULES Questo insegnamento è un modulo di: MULTIMEDIA PROCESSING AIMS AND CONTENT LEARNING OUTCOMES he aim of this course is to provide students with skills in the analysis of images and digital video sequences. In a first part they will understand the ways in which information can be extracted from images: automatic detection of characteristic elements, shape and color descriptions. This information will then be used to compare different images based on common elements (these skills will allow the student to automatically group perceptually similar images or to estimate from images the depth of a scene). Finally, algorithms for motion identification and analysis will be designed (possible applications of these techniques involve the representation and understanding of human motion). AIMS AND LEARNING OUTCOMES Provide basic knowledge in the following topics: methods and technologies for image and video processing algorithms for the representation and understanding of the content of an image, identification of points of interest, images similarity estimation image analysis, expressivity and realism video analysis and gesture expressivity TEACHING METHODS Mixed modality: frontal lessons, guided workshops, readings, study case studies More information at the link https://corsi.unige.it/9913/news/12704-modalit%C3%A0-didattica-per-lavvio-dellaa-202122 SYLLABUS/CONTENT color and gray level digital images image descriptions highlight parts of interest in an image calculate the similarity between images semantic analysis elements: we seek human faces and hands motion analysis elements: how to detect moving objects in a scene RECOMMENDED READING/BIBLIOGRAPHY Teaching material provided by the instructor through Aulaweb portal TEACHERS AND EXAM BOARD ANNALISA BARLA Ricevimento: ANNALISA BARLA: on demand, upon explicit request by email ELEONORA CECCALDI Ricevimento: On Teams or at CasaPaganini - InfoMus by appointment with the lecturer by contacting her by email at eleonora.ceccaldi@dibris.unige.it LESSONS LESSONS START https://corsi.unige.it/9913/p/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION 50% oral exam 50% individual project and seminar ASSESSMENT METHODS Interactive classes, discussions, reading FURTHER INFORMATION Students with disabilities or learning disorders are allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the Delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities. Students are invited to contact the teacher of this course and copy the Delegate (https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita.html).
