Dual-Subject Bachelor's Programme Economics and Business Administration (Bachelor) > PP "Medieninformatik für Studierende musisch-künstlerischer Fächer"
Fach-Bachelor Pädagogisches Handeln in der Migrationsgesellschaft (Bachelor) > PP "Medieninformatik für Studierende musisch-künstlerischer Fächer"
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
Zuständige Personen
Boll-Westermann, Susanne (Module responsibility)
Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites
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
http://medien.informatik.uni-oldenburg.de/lehre
Language of instruction
German
Duration (semesters)
1 Semester
Module frequency
Annually
Module capacity
unlimited
Reference text
Useful previus knowlodge: Solid programming skills in Java and/or C++, practical informatics. Interest in media processing
Modullevel / module level
AS (Akzentsetzung / Accentuation)
Modulart / typ of module
je nach Studiengang Pflicht oder Wahlpflicht
Lehr-/Lernform / Teaching/Learning method
1V + 1P
Vorkenntnisse / Previous knowledge
Gute Programmierkenntnisse in PythonJava und/oder JavaC++, Interesse an Medienverarbeitung.
Form of instruction
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
Die Vorstellung des praktischen Projektes an einem Projekttag aller Kleingruppen findet direkt im Anschluss an die Vorlesungszeit statt. Die mündliche Prüfung findet in den ersten beiden Wochen nach Ende der Vorlesungszeit statt. Etwaige Nachprüfungen finden am Ende der vorlesungsfreien Zeit statt. Der genaue Zeitplan kann den Webseiten der Abteilung sowie den Angaben im Lernmanagementsystem Stud.IP entnommen werden.
