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

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

FRANCESCA ODONE (President)

GUALTIERO VOLPE (President)

ANNALISA BARLA

ANTONIO CAMURRI

MAURIZIO MANCINI

LESSONS

EXAMS

EXAM DESCRIPTION

• 50% oral exam
• 50% seminar