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

LESSONS

EXAMS

EXAM DESCRIPTION

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

ASSESSMENT METHODS

Interactive classes, discussions, reading

Exam schedule