CODE 90689 ACADEMIC YEAR 2026/2027 CREDITS 6 cfu anno DIGITAL HUMANITIES - INTERACTIVE SYSTEMS AND DIGITAL MEDIA 11945 (LM-92 R) - SAVONA 6 cfu anno 1 DIGITAL HUMANITIES - INTERACTIVE SYSTEMS AND DIGITAL MEDIA 11945 (LM-92 R) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INFO-01/A LANGUAGE English TEACHING LOCATION SAVONA GENOVA SEMESTER 2° Semester MODULES Questo insegnamento è un modulo di: MULTIMEDIA PROCESSING TEACHING MATERIALS AULAWEB AIMS AND CONTENT LEARNING OUTCOMES The aim of this module 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 Students who hold valid certificates relating to Specific Learning Difficulties (SLD), disabilities or other educational needs are invited to contact the lecturer and the school’s disability liaison officer at the start of the course to agree on any teaching arrangements which, whilst respecting the course objectives, take into account individual learning styles. The contact details for the university’s disability liaison officer are available at the following link: https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita. 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://easyacademy.unige.it/portalestudenti/index.php?view=easycourse&_lang=it&include=corso 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 valid certifications for Specific Learning Disorders (SLD) may request accommodations for exams at least 7 days prior to the exam date by filling out the “accommodation request form” (available via online services at https://modulionline.unige.it/richiesta-adattamenti# no-back), which will be automatically forwarded by the system to the instructor in charge of the course and to the faculty liaison for students with disabilities and SLDs in their School/Department. The student will receive a copy of their request.
