inf018 - Media Processing (Course overview)

inf018 - Media Processing (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
  • Unlimited access 2.01.018 - Medienverarbeitung Show lecturers
    • Prof. Dr. Susanne Boll-Westermann
    • Dr.-Ing. Larbi Abdenebaoui
    • Tobias Lunte
    • Mikolaj Wozniak

    Tuesday: 10:00 - 12:00, weekly (from 15/10/24)
    Wednesday: 10:00 - 12:00, weekly (from 16/10/24)
Exercises
  • Unlimited access 2.01.018 - Medienverarbeitung Show lecturers
    • Prof. Dr. Susanne Boll-Westermann
    • Dr.-Ing. Larbi Abdenebaoui
    • Tobias Lunte
    • Mikolaj Wozniak

    Tuesday: 10:00 - 12:00, weekly (from 15/10/24)
    Wednesday: 10:00 - 12:00, weekly (from 16/10/24)
Notes on the module
Prerequisites

Solid programming skills in Java and/or C++, practical informatics. Interest in media processing
Kapazität/Teilnehmerzahl 12
Prüfungszeiten

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.
Module examination

Project and oral Exam or project and written exam

 
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