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CODE 90689
ACADEMIC YEAR 2023/2024
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE English
TEACHING LOCATION
  • SAVONA
  • GENOVA
SEMESTER 1° Semester
MODULES Questo insegnamento è un modulo di:
TEACHING MATERIALS AULAWEB

AIMS AND CONTENT

LEARNING OUTCOMES

The 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

Exam Board

ELEONORA CECCALDI (President)

GUALTIERO VOLPE

ANNALISA BARLA (President Substitute)

LESSONS

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

Data Ora Luogo Degree type Note
08/01/2024 11:00 GENOVA Esame su appuntamento
22/01/2024 11:00 GENOVA Esame su appuntamento
05/02/2024 11:00 GENOVA Esame su appuntamento
16/02/2024 09:00 GENOVA Esame su appuntamento
17/06/2024 11:00 GENOVA Esame su appuntamento
01/07/2024 11:00 GENOVA Esame su appuntamento
15/07/2024 11:00 GENOVA Esame su appuntamento
06/09/2024 11:00 GENOVA Esame su appuntamento
13/09/2024 09:00 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/comitatoperlinclusionedeglistudenticondisabilita.html).