Subject

Multimedia systems

Course Title

Multimedia systems
Multimedia systems

Code

F23L3S135

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

6 / Summer

Number of ECTS credits

Teacher

Biljana Risteska Stojkoska

Prerequisites for enrolling in the course

Algorithms and Data Structures or Applied Algorithms and Data Structures

10.

Objectives of the course programme (competences)

Familiarizing the student with the basic concepts for working with multimedia data, the methods for modeling, implementing, and manipulating them. The student will be able to model multimedia data, will know how to practically apply content-based retrieval of multimedia data, and will gain introductory knowledge for creating applications based on multimedia content.

11.

Course content

Introduction to multimedia and classification of multimedia content. Components of a multimedia system. Creation of multimedia content (signals, AD conversion, Fourier transform, sampling and quantization, filtering and subsampling). Representation and formats of multimedia content (image, video, audio). YUV subsampling. Color theory, trichromacy, physiology of the human visual system, color schemes (RGB, YUV, CMYK, ...). Fundamentals of multimedia content compression (entropy, taxonomy, metrics). Compression techniques (Huffman coding, arithmetic coding, LZW, pattern substitution, vector quantization, subrange coding, differential pulse-code modulation, hybrid schemes ...). Challenges in compression (symmetric vs. asymmetric, adaptive vs. non-adaptive, encoder/decoder speed and complexity, ...). Image compression (GIF, PNG, MPEG, MPEG 2000, discrete wavelet transform, fractal coding, ...). Video compression (temporal redundancy, block-based frame prediction, motion vector calculation, I frames, B frames, P frames, multi-frame prediction, GOP video structure). Complexity of motion compensation (logarithmic vs. hierarchical search). MPEG standard. Audio compression (delta modulation, logarithmic quantization, ...). Fundamentals of QoS and QoE.

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, practical classes (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defence of a project assignment and seminar paper, and learning in an electronic environment (forums and consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	15 hours
16.3.	Home study	75 hours

17.

Assessment method

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activities and learning	10 points
17.4.	Final exam	70 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirement for obtaining a signature and taking the final exam

Activities 15.2 and 16.1 and 16.2 implemented

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature 1. Havaldar, Parag, and Gerard Medioni \| Multimedia systems: algorithms, standards, and industry practices \| Course Technology Press \| 2009
22.2.	Additional literature No. Author Title Publisher Year