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This entry is from Winter semester 2016/17 and might be obsolete. You can find a current equivalent here.

CS 682 — Multimedia Signal Processing
(dt. Multimediale Signalverarbeitung)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload
Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements
9 CP
Course requirement(s): Oral or written examination
Examination type: Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Language,
Grading
German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
Duration,
frequency
One semester,
In der Regel jedes Sommersemester
Person in charge of the module's outline Prof. Dr. Thorsten Thormählen

Contents

  • Basics of digital signal processing
  • Digitization of audio, images and video
  • Audio effects
  • Image processing
  • Compression of images
  • Audio compression
  • Video compression

Qualification Goals

This course is designed to enable students to create content for modern communications media by providing in-depth knowledge of procedures for digitally capturing, processing, storing, and transmitting multimedia data. A focus is placed on auditory and visual media. Furthermore, the ability to design media will be improved and the recognition, formulation and solution of problems will be practiced using practical examples.


Prerequisites

None


Applicability

Module imported from M.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Business Informatics
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Informatics
  • LAaG Computer Science

When studying M.Sc. Data Science, this module can be attended in the study area Specialization Modules in Computer Science.


Recommended Reading

  • B. Jähne: Digitale Bildverarbeitung, Springer, 2005;
  • P. Ackermann: Computer und Musik: Eine Einführung in die digitale Klang- und Musikverarbeitung, Springer, 1991;
  • T. Strutz: Bilddatenkompression: Grundlagen, Codierung, Wavelets, JPEG, MPEG, H.264, Vieweg+Teubner, 2009;
  • A. C. Bovik: Handbook of Image and Video Processing, Academic Press, 2000;
  • R. C. Gonzalez, R. E. Woods: Digital Image Processing, Prentice Hall International, 2001;
  • D. Taubman, M. Marcellin: JPEG2000 Image Compression, Kluwer, 2001;
  • J Watkinson: The MPEG Handbook : MPEG-1, MPEG-2, MPEG-4, Focal Press, 2004;
  • I. E. G. Richardson: H.264 and MPEG-4 Video Compression, John Wiley & Sons, 2003;



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2016/17. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.