Faculty of Technical Sciences

Subject: Information in multimedia (17.IZMI07)

Native organizations units: No data
General information:
 
Category Professional-applicative
Scientific or art field Information-Communication Systems
Interdisciplinary No
ECTS 4
Educational goal:

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.

Educational outcome:

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).

Course content:

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.

Teaching methods:

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.

Literature:
Authors Title Year Publisher Language
Adrian Kaehler, Gary Bradski Learning OpenCV 2013 OReilly English
Oge Marques Practical Image and Video Processing in MATLAB 2011 Wiley English
Ćulibrk, D. Otkrivanje znanja iz podataka: odabrana poglavlja 2012 CreateSpace Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 40.00
Oral part of the exam No Yes 30.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Lecturers:
API Image

prof. dr Pap Ištvan

Full Professor

Lectures
API Image

prof. dr Ćulibrk Dubravko

Full Professor

Lectures
API Image

Asistent Nakomčić Andrea

Assistant - Master

Computational classes
API Image

prof. dr Pap Ištvan

Full Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

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Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.