IMAGE AND VIDEO UNDERSTANDING

Academic year 2019/2020 Syllabus of previous years
Official course title IMAGE AND VIDEO UNDERSTANDING
Course code CM0524 (AF:306554 AR:166121)
Modality On campus classes
ECTS credits 6
Degree level Master's Degree Programme (DM270)
Educational sector code INF/01
Period 1st Semester
Course year 1
Where VENEZIA
Contribution of the course to the overall degree programme goals
The course aims at introducing the student to the principles, the algorithms and the main applications in the field of image and video understanding.
Expected learning outcomes
1. Knowledge and understanding
1.1. acquire the main models and algorithms of image and video understanding

2. Ability to apply knowledge and understanding
2.1. acquire the ability to apply the studied models to real problems
2.2. acquire the ability to critically assess the performance and the behavior of a model applied to a concrete problem

3. Judgement
3.1. ability to understand which characteristics of the various models of artificial intelligence are best suited to a given problem
3.2. ability to critically evaluate the theoretical characteristics of the proposed models
Pre-requirements
The student is expected to be familiar with the basic concepts of calculus and linear algebra.
Contents
Detection and recognition: face detection, eigenfaces, human detection, object recognition and categorization.

Image and video segmentation.

Tracking and re-identification in videos.

Machine learning and (deep) neural network methods.

Graph-based methods.
Referral texts
- R. Szeliski, Computer Vision: Algorithms and Applications. Springer.

- D. Forsyth and J. Ponce. Computer Vision: A modern Approach. Pearson.

- I. Goodfellow, Y. Bengio and A. Courville. Deep Learning. MIT Press
Assessment methods
Oral exam and discussion of a project agreed with the teacher.
Teaching methods
Powerpoint presentations and chalk talk.
Teaching language
English
Further information
To favor an "active" appraoch to the study of the topics covered in the classes, students will be asked to develop a simple project which will be discussed during the oral examination.
Type of exam
oral
Definitive programme.
Last update of the programme
28/07/2019