Digital Video

Course Description

Video signal production and presentation. Image analysing parameters. Image formats. Color spaces, system nonlinearity, gamma correction and constant luminance principle. Component video and interfaces (S-Video, SCART, SDTV, HDTV, D-konektor, VGA). Analog-to-digital video signal conversion. Digital video formats. Digital video interfaces (SDI, SDTI, DVI-D, DVI-I, USB 2.0, IEEE 1394). Digital video processing. Brightness, contrast, saturation and hue manipulation. Simple and advanced special effects. Video compression parametres, overview of compression techniques and standards, applications. Formats for uncompressed digital video storage and recording. Linear and non-linear editing. Content-based digital video description.

General Competencies

Upon completion of the course students will understand differences between analog and digital video. They will have extensive theoretical knowledge about digital video formats, interfaces and standards. Students will have the ability to make their own digital video editing.

Learning Outcomes

  1. interpret basic terms in video production and digital video processing
  2. describe methods for digital video processing
  3. distinguish image and video compression systems and algorithms
  4. explain image and video compression standards
  5. analyze image and video quality
  6. operate with nonlinear video editing

Forms of Teaching



Laboratory Work

Laboratory Exercises

Internship visits


Grading Method

By decision of the Faculty Council, in the academic year 2019/2020. the midterm exams are cancelled and the points assigned to that component are transferred to the final exam, unless the teachers have reassigned the points and the grading components differently. See the news for each course for information on knowledge rating.
Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 15 % 0 % 15 %
Mid Term Exam: Written 0 % 40 % 0 %
Final Exam: Written 0 % 45 %
Exam: Written 0 % 70 %
Exam: Oral 15 %

Week by Week Schedule

  1. Video production and scanning parameters, image formats, amplitude and frequency range of video signal, temporal relationships
  2. Color spaces (RGB, YUV, YIQ, YCrCb), Constant Luminance Principle, system nonlinearity and gamma correction
  3. Component video formats and interfaces (S-Video, SCART, SDTV, HDTV, D-Connector, VGA)
  4. Analog-to-digital video conversion, quantization error, signal-to-noise ratio
  5. Digital video formats and interfaces (parallel interace, SDI, SDTI, HD-SDTI, DVI, USB 2.0, IEEE 1394)
  6. Color system conversions, 4:4:4 YCrCb to 4:2:2 YCrCb conversion, 4:2:2 YCrCb to 4:2:0/4:1:1 YCrCb conversion
  7. Brightness, contrast, saturation and hue manipulation, display enhancement
  8. Mid-term exam
  9. Resolution scaling, frame rate conversions, scanning conversions
  10. Simple and advanced special effects: chroma keying, video mixing, spatial effects, rotations, different angle views, adding titles
  11. Video compression parametres, compression techniques overview, video compression standards (M-JPEG, DV, MPEG-1, MPEG-2, MPEG-4, H26x)
  12. Application of video compression standards, content-based digital video description (MPEG-7)
  13. Formats for uncompressed digital video recording (D-1, D-2, D-3, D-5, D-6), error detection and correction, interleaving, synchronization
  14. Formats for compressed digital video recording (Digital Betacam, Betacam SX, IMX, DV, DVCPRO, Digital S, DVD)
  15. Editing types, linear and non-linear editing; non-linear editing system architecture; time coding, editing points; special effects

Study Programmes

University undergraduate
Electronics (module)
Elective Courses (6. semester)
Information Processing (module)
Elective Courses (6. semester)
Wireless Technologies (module)
Elective Courses (6. semester)


J. Watkinson (2001.), An Introduction to Digital Video, Focal Press, Oxford
A. C. Luther (1997.), Principles of Digital Audio and Video, Artech House, Norwood
C. Poynton (2003.), Digital Video and HDTV - Algorithms and Interfaces, Morgan Kaufmann Publishers, San Francisco

Associate Lecturers

Laboratory exercises


ID 34322
  Summer semester
L1 English Level
L1 e-Learning

Grading System

89,5 Excellent
75,5 Very Good
60,5 Good
50 Acceptable