Multimedia Systems

Learning Outcomes

  1. Define media signals, their representation, processing and applications
  2. Distinguish source coding and entropy coding and various algorithms for media compression
  3. Apply and analyze methods for predictive and transform coding of media signals
  4. Describe human auditory and visual perception model and explain properties of audio and video signal
  5. Explain differences between analog and digital video signal representation
  6. Employ methods for image and video signal compression
  7. Implement methods for multimedia compression.
  8. Evaluate and modify the performance of multimedia algorithms.

Forms of Teaching

Lectures

Exercises

Laboratory

Other

Week by Week Schedule

  1. Audio signal in time and frequency domain; Probability density function; Frequency spectra; Rate of change; Audio signal sampling theorem; Sampling and quantization errors.
  2. Redundancy and irrelevancy of audio signals; Acoustical characteristics of voice signal; Voice generation.
  3. Psychoacoustic models; Formats of compressed signals; Linear prediction of coefficients (LPC).
  4. Quantization effects; General concepts of bit-rate reduction, signal redundancy and entropy; Discrete cosine transform.
  5. Sampling rates for video and analog-to-digital conversion; Sampling structure; Chroma subsampling; Basic DCT coder and decoder (quantization process, zigzag scanning, RLC and VLC).
  6. Standards (e.g., audio, graphics, video); Interframe prediction; Motion compensation; Motion vectors.
  7. Multimedia support; Standards (e.g., audio, graphics, video).
  8. Midterm exam.
  9. Multimedia support; Standards (e.g., audio, graphics, video).
  10. Multimedia support; Standards (e.g., audio, graphics, video).
  11. Streams/structures, capture/represent/transform, spaces/domains, compression/coding.
  12. Streams/structures, capture/represent/transform, spaces/domains, compression/coding.
  13. Real-time delivery; Quality of service (including performance); Capacity planning; Audio/video, conferencing, video-on-demand.
  14. Visit.
  15. Final exam.

Study Programmes

University undergraduate
Computing (study)
Elective Courses (6. semester)
Electrical Engineering and Information Technology (study)
Elective Courses (6. semester)

Literature

(.), Li, Ze-Nian; Drew, Mark S.; Liu, Jiangchuan: Fundamentals of Multimedia, Second Edition, Springer, 2014.,
(.), Steinmetz, Ralf; Nahrstedt, Klara: Multimedia Systems, Springer, 2004.,
(.), Shi, Yun Q; Sun, Huifang: Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards, CRC Press, 2008.,
(.), Khalid Sayood, Introduction to Data Compression, Fourth Edition, Morgan Kaufmann, 2012,

General

ID 183397
  Summer semester
5 ECTS
L3 English Level
L1 e-Learning
45 Lectures
6 Exercises
15 Laboratory exercises
0 Project laboratory