Type of studies | Title |
---|---|
Master Academic Studies | Information Systems Engineering (Year: 1, Semester: Summer) |
Master Academic Studies | Industrial Engineering (Year: 1, Semester: Summer) |
Category | Professional-applicative |
Scientific or art field |
|
ECTS | 4 |
The goal of the course is to introduce the students to the basic concepts of multimedia data processing and the extraction of information from such data, focusing image and video.
Upon completing the course, the students will have the knowledge and skills that will enable them to efficiently conduct research in the domain of multimedia processing and develop practical IT solutions. They will also receive practical training in multimedia data processing and development of programs based on widely used computer vision and multimedia processing environments and libraries (Matlab Image Processing Toolkit, OpenCV, Python scikit-image).
The course will cover the following areas: basic concepts of acquisition and storing of visual signals, geometric operations over images, mathematical morphology, edge detection, image segmentation, feature extraction and their representation, motion estimation and object tracking. The theory will be accompanied with practical training in Matlab, OpenCV and Python.
Lectures and labs, tests and an exam assignment. The labs will focus on enabling the students to use Matlab, OpenCV and Pyhton for multimedia processing. The students’ knowledge of the theory will be evaluated using tests. The individual assignment will consist of the practical implementation of programs of suitable complexity.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2011 | English | |||
2013 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Test | Yes | Yes | 10.00 |
Project | Yes | Yes | 40.00 |
Test | Yes | Yes | 10.00 |
Test | Yes | Yes | 10.00 |
Oral part of the exam | No | Yes | 30.00 |
Full Professor
Full Professor
Assistant - Master
Full Professor
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© 2024. Faculty of Technical Sciences.