inf018 - Media Processing (Complete module description)

inf018 - Media Processing (Complete module description)

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Module label Media Processing
Modulkürzel inf018
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Bachelor's Programme Business Administration and Law (Bachelor) > Area of Specialisation
  • Bachelor's Programme Business Informatics (Bachelor) > Akzentsetzungsbereich Praktische Informatik und Angewandte Informatik
  • Bachelor's Programme Business Informatics (Bachelor) > Further modules
  • Bachelor's Programme Chemistry (Bachelor) > Area of Specialisation
  • Bachelor's Programme Computing Science (Bachelor) > Akzentsetzungsbereich - Wahlbereich Informatik
  • Bachelor's Programme Computing Science (Bachelor) > Computing Science
  • Bachelor's Programme Economics and Business Administration (Bachelor) > Area of Specialisation
  • Bachelor's Programme Education (Bachelor) > Area of Specialisation
  • Bachelor's Programme Engineering Physics (Bachelor) > Area of Specialisation
  • Bachelor's Programme Environmental Science (Bachelor) > Area of Specialisation
  • Bachelor's Programme Physics, Engineering and Medicine (Bachelor) > Area of Specialisation
  • Bachelor's Programme Sustainability Economics (Bachelor) > Area of Specialisation
  • Computing Science (Extension tray) > Computing Science
  • Dual-Subject Bachelor's Programme Computing Science (Bachelor) > Praktische Vertiefung (60 KP)
  • Fach-Bachelor Pädagogisches Handeln in der Migrationsgesellschaft (Bachelor) > Area of Specialisation
  • Master of Education Programme (Gymnasium) Computing Science (Master of Education) > Wahlpflichtmodule (Praktische Informatik)
  • Master of Education Programme (Vocational and Business Education) Computing Science (Master of Education) > Praktische Vertiefung der Informatik
  • Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik
  • Master's Programme Business Informatics (Master) > Business Informatics
Zuständige Personen
  • Boll-Westermann, Susanne (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites

Solid programming skills in Java and/or C++, practical informatics. Interest in media processing
Skills to be acquired in this module

The students can explain the basics of image processing and know which algorithms exist for the basic tasks in image processing and how these are applied.
The students can apply basic methods of image processing they learned in the lecture to solve simple problems.
Professional compentence:
The students 

  • can name basic characteristics of digital media
  • can explain the most common methods for encoding and compressing images, video and audio
  • can describe basic procedures for image enhancement, feature extraction, feature description, image analysis and image comprehension

Methodological competence:
The students 

  • can recognize and evaluate image properties and decide for suitable image processing methods
  • can select existing software packages for simple image processing problems, as well as use and customize them for their specific task
  • can implement simple image and media processing functions in a higher programming language (e.g., C ++)

Social competence
The students:

  • can plan, implement, and document a software project in team work
  • can present the results of their work to an audience and adequately respond to criticism and questions

Self competence
The students:

  • can accept and learn from mistakes made during the process of implementation
Module contents

The lecture covers the technologies of media processing. In particular, the lecture focuses on image processing chain from digital imaging, through image pre-/and postprocessing, and image storage to image analysis. In addition to compression techniques and color space theory (RGB, HSV, YUV, CIEXYZ, ...), the topics of the lecture include image enhancement, feature extraction, feature description, image analysis and image comprehension. The lecture furthermore discusses the encoding and analysis of video and audio.
Literaturempfehlungen
  • Wilhelm Burger und Mark James Burge. Digitale Bildverarbeitung: Eine Einführung mit Java und Image, J. Springer, 2006.
  • Literatur im Handapparat der Abteilung in der Bibliothek.
  • Linkliste im Lernmanagementsystem zu den einzelnen Themen der Vorlesung.
Links

https://uol.de/en/media-informatics/teaching/courses
Language of instruction German
Duration (semesters) 1 Semester
Module frequency every winter semester
Module capacity 12
Teaching/Learning method V+Ü
Lehrveranstaltungsform Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Exercises 2 WiSe 28
Präsenzzeit Modul insgesamt 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

The presentation of the practical project on a project day of all small groups takes place directly after the lecture period. The oral examination takes place in the first two weeks after the end of the lecture period. Any post-examinations will take place at the end of the lecture period. The exact schedule can be found on the department's web pages as well as the information in the learning management system Stud.IP.

Project and oral Exam or project and written exam