Video Communication Technologies

Course Description

Overview of video communication systems and services. Scanning process, conversion of optical images into video signal. Conventional scanning standards, resolution concept, spectrum of video signal. Video signal components. Characteristics of human visual system, visual acuity, eye sensitivity curve, color matching functions, chromaticity diagram. Chrominance signal. Audio signal. Analog-to-digital conversion, component video standards. Video signal compression methods, compression standards, transport stream formatting and multiplexing. Error resilience video coding techniques, error detection, correction and concealment. Broadcasting standards and frequency ranges. Television broadcasting systems, satellite and cable television. Video streaming over Internet, IPTV. Video transmission in mobile systems.

Learning Outcomes

  1. explain image scanning in video camera
  2. select analog-to-digital conversion parameters for different video signal formats
  3. calculate bit- rate for different image formats and analog-to-digital conversion parameters
  4. relate the features of the human visual system and the elements of the video signal compression system
  5. use spatial and temporal redundancy removal techniques for video signal compression
  6. modify the parameters of the video signal compression process to different types of communication systems
  7. predict the effectiveness of error detection and correction methods in of video communication systems
  8. define quality of service parameters in different types of video communication systems and predict their impact on image quality

Forms of Teaching

Lectures

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Independent assignments

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Laboratory

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Other

Internship visits

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 20 % 0 % 0 %
Homeworks 0 % 10 % 0 % 0 %
Attendance 0 % 5 % 0 % 0 %
Mid Term Exam: Written 0 % 25 % 0 %
Final Exam: Written 0 % 40 %
Exam: Written 50 % 55 %
Exam: Oral 10 %
Comment:

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Week by Week Schedule

  1. Anatomy of the human eye and visual perception, Light sources; White light; Color as subjective experience, Standard observer and luminosity function
  2. Contrast sensitivity and visual acuity, Additive mixing of colors; CIE and EBU color primaries
  3. Color-matching experiment; Unit chromaticity equation; Chromaticity coordinates; Color-mixture curves
  4. Color spaces and their uses (CIE, RGB, YUV, YIQ, HSL/HSV, and CMYK)
  5. Scanning standards for SDTV, HDTV and UHDTV, Bit-parallel and bit-serial signal distribution and data multiplexing
  6. Spatial image formats and digital video specifications, Bit-parallel and bit-serial signal distribution and data multiplexing
  7. Image and video compression basics
  8. Midterm exam
  9. Statistical (spatial and temporal) redundancy; Psychovisual redundancy
  10. Basic DCT coder and decoder (quantization process, zigzag scanning, RLC and VLC)
  11. Interframe prediction; Motion compensation; Motion vectors
  12. Group of pictures; I-, P- and B-frames
  13. Transport stream formation
  14. Influence of transmission errors on the decoded video quality
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Elective Courses of the Profile (1. semester)
Communication and Space Technologies (profile)
(3. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (1. semester)
Computer Engineering (profile)
Free Elective Courses (1. semester)
Computer Science (profile)
Free Elective Courses (1. semester)
Control Systems and Robotics (profile)
Free Elective Courses (1. semester)
Data Science (profile)
Free Elective Courses (1. semester)
Electrical Power Engineering (profile)
Free Elective Courses (1. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (1. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (1. semester)
Electronics (profile)
Free Elective Courses (1. semester)
Information and Communication Engineering (profile)
Elective Courses of the Profile (1. semester)
Information Processing (profile)
Theoretical Course (1. semester)
Network Science (profile)
Free Elective Courses (1. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (1. semester)
Wireless Technologies (profile)
Theoretical Course (1. semester)

Literature

Y. Wang, J. Ostermann, Y. Zhang (2001.), Video Processing and Communications, Prentice Hall
V. Sze, M. Budagavi, G. J. Sullivan (2014.), High Efficiency Video Coding (HEVC): Algorithms and Architectures, Springer, Springer
D. Bull (2014.), Communicating Pictures: A Course in Image and Video Coding, Academic Press
A. Sanders (2019.), Image and Video Coding: Standards, Tools and Techniques, CLANRYE INTERNATIONAL
F. Zhai (2007.), Joint Source-Channel Video Transmission, Morgan and Claypool Publishers

For students

General

ID 223725
  Winter semester
5 ECTS
L2 English Level
L1 e-Learning
45 Lectures
15 Exercises
16 Laboratory exercises

Grading System

90 Excellent
78 Very Good
62 Good
50 Acceptable