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

L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.

EXAMS

EXAM DESCRIPTION

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

ASSESSMENT METHODS

Interactive classes, discussions, reading

Exam schedule

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).