After successful completion of the course, students are able to implement complex media analysis systems comprising of signal processing, machine learning and deep learning. Implementation includes design, programming and evaluation based on ground truth.
Central topic of the course is understanding the importance of transformation operations for digital media description and similarity measurement. The desired understanding is developed interactively in the lecture part and consolidated by a realistic exercise in the practical part of the course.
IMPORTANT! Due to the Corona pandemic the lecture will be replaced by a set of videos + summaries written by the students. All details can be found in due time in the TUWEL forum.
H. Eidenberger: "Professional Media Understanding", Atpress, Vienna, 2012.
List of topics and links in the TUWEL forum.