Image, Video and Perception - Interactive curriculae of TU Ilmenau

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module properties Image, Video and Perception in degree program Master Medientechnologie 2017
module number	200619
examination number	210513
department	Department of Electrical Engineering and Information Technology
ID of group	2182 (Audiovisual Technology)
module leader	Dr. Steve Göring
term	winter term only
language	Deutsch/Englisch
credit points	5
on-campus program (h)	45
self-study (h)	105
obligation	elective module
exam	examination performance with multiple performances
details of the certificate	Das Modul Image, Video and Perception mit der Prüfungsnummer 210513 schließt mit folgenden Leistungen ab: schriftliche Prüfungsleistung über 120 Minuten mit einer Wichtung von 60% (Prüfungsnummer: 2100979) alternative semesterbegleitende Prüfungsleistung mit einer Wichtung von 40% (Prüfungsnummer: 2100980) Details zum Abschluss Teilleistung 1: Written exam, 120 minutes Schriftliche Prüfung, 120 Minuten Details zum Abschluss Teilleistung 2: Project work on a dedicated topic in groups; with final written report and presentation. Examination part 2 (Teilleistung 2) is only offered in the winter semester.
link to Moodle course
teacher	Dr.-Ing. Göring, Steve Dipl.-Ing. Siegel, André
signup details for alternative examinations	Dieses Modul enthält mindestens eine alternative semesterbegleitende Abschlussleistung. Bitte beachten Sie, dass diese in der Regel schon zu Beginn des Semesters, in dem diese angeboten wird, angemeldet werden muss. Über die Details und Zeiträume dazu werden Sie vom Lehrenden und/oder dem Prüfungsamt informiert. Fragen Sie gegebenenfalls unbedingt beim Lehrenden nach. This module contains at least one alternative exam part. Please note that this must usually be registered at the beginning of the semester in which it is offered. The lecturer and/or the examination office will inform you about the details and time periods. If necessary, be sure to ask the lecturer.
maximum number of participants
previous knowledge and experience	basic knowledge of media technology grundlegende Kenntnisse der Medientechnik
learning outcome	Students should know how to process and compress digital images and videos. Based on the visual perception of the person, they should know criteria for the evaluation of images and videos and can apply them in quality tests. Students are familar with the lecture topics with the help of exercises (individually and in groups). They should be able to acquire current knowledge independently. As a result of the lecture, they are familiar with the state of the art and the common methods of quality assessment of visual content. Die Studierenden wissen, wie digitale Bilder und Videos verarbeitet und komprimiert werden. Sie kennen, ausgehend von der visuellen Wahrnehmung des Menschen, Kriterien für die Bewertung von Bildern und Videos und können sie bei Qualitätstests anwenden. Mit Hilfe von Seminararbeiten (einzeln und in Gruppen) können sich die Studierende aktiv mit den Vorlesungsthemen auseinandersetzten und sind befähigt, sich aktuelles Wissen selbstständig anzueignen. Im Ergebnis der Vorlesung sind sie mit dem Stand der Technik und den gängigen Methoden der Qualitätsbewertung von visuellem Content vertraut.
content	This course will not be offered in Wintersemester 2025/26. Content of the Lectures: Visual perception, 2D Image processing and analysis, Colorimetry, Video processing, Video coding, Coding settings for different purposes, Video quality: Models and Subjective tests, Quality of Experience (QoE), Cameras: Optics, Technical evaluation of cameras, Visual scene analysis, Computer Vision and algorithms Tutorial Session: Image Procession/Filtering, Image Coding, Entropy Coding, Information Theory, and Subjective Video Quality. Group Exercises: Coding settings for different purposes, Implementation of different intra prediction modes, Implementation of entropy encoding and decoding algorithms, Video encoding, and Implementation of different objective metrics.
media of instruction and technical requirements for education and examination in case of online participation	lecture slides, exercise slides, depending on content of group exercises and tutorial sessions sample code and data base material, scientific papers Online via Webex, Laptop mit Kamera und Mikrofon / Online via Webex, Laptop with Camera and Microphone
literature / references	J. Whitaker and B. Benson, Video and Television Engineering, McGraw Hill, 2000 U. Schmidt, Professionelle Videotechnik, Springer S. Winkler, Digital Video Quality, John Wiley & Sons, 2005 A. Bovik, Handbook of Image and Video Processing, 2nd Edition, Elsevier, 2010 I. E. Richardson, H.264 and MPEG-4 Video Compression: Video Coding for Next-generation Multimedia, John Wiley & Sons, 2003 J. Kurose, K. Ross, Computer Networking: A Top-Down Approach, 6th Edition, Person, 2012 G. Christobal, P. Schelkens, H. Thienpont, Optical and Digital Image Processing: Fundamentals and Applications, Wiley-VCH, 2011 V. Bruce, P. Green, M. Georgeson, Visual Perception, Psychology Press, 2004 E.B. Goldstein, Sensation and Perception, 9th Edition, Wadsworth Cengage Learning, 2014 Peter Corke: Robotics, vision and control: fundamental algorithms in MATLAB, Springer, 2011 Alexander Hornberg: Handbook of Machine and Computer Vision - The Guide for Developers and Users, Wiley 2017
evaluation of teaching