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ANALISI AUTOMATICA DI IMMAGINI E VIDEO

CODE 90689
ACADEMIC YEAR 2022/2023
CREDITS
  • 6 cfu during the 2nd year of 9913 DIGITAL HUMANITIES - COMUNICAZIONE E NUOVI MEDIA (LM-92) - SAVONA
    		•
    SCIENTIFIC DISCIPLINARY SECTOR INF/01
    LANGUAGE Italian
    TEACHING LOCATION
  • SAVONA
    		•
    SEMESTER 1° Semester
    TEACHING MATERIALS AULAWEB

    AIMS AND CONTENT

    LEARNING OUTCOMES

    The course will provide students with skills in digital image and video analysis  

    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

    Exam Board

    ANNALISA BARLA (President)

    ANTONIO CAMURRI

    ELEONORA CECCALDI (President Substitute)

    LESSONS

    LESSONS START

    https://corsi.unige.it/9913/p/studenti-orario

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    • 50% oral exam
    • 50% individual project and seminar

    ASSESSMENT METHODS

    Interactive classes, discussions, reading

    Exam schedule

    Date Time Location Type Notes
    12/01/2023 11:00 GENOVA Esame su appuntamento
    26/01/2023 11:00 GENOVA Esame su appuntamento
    09/02/2023 11:00 GENOVA Esame su appuntamento

    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/comitatoperlinclusionedeglistudenticondisa…).