The course aims at students at late Bachelor-level and Master-level. The implementation of deep learning methods for image and video processing is part of the course. Thus, an advanced level in programming is required.
To obtain seminar credits of 2.5 ECTS, a final report of approximately 10 pages is necessary. Note, that participation in the course alone does not oblige to submit a report.

Title:

Seminar Deep Learning in Image and Video Processing

Prerequisites

Application online at https://www.ferienakademie.de until 3 May 2020.

Contents

Within this course, we want to explore Image and Video Processing tasks boosted by Deep Learning methods. There's a trend in image and video processing that applies deep neural networks to improve classical image and video processing tasks, or to solve entirely new tasks that were deemed intractable using classical algorithms. We want to explore these algorithms and will cover an overview over classical image and video processing algorithms, an introduction to deep learning and discuss various practical applications.

The course aims at students at late Bachelor-level and Master-level. The implementation of deep learning methods for image and video processing is part of the course. Thus, an advanced level in programming is required.

To obtain seminar credits of 2.5 ECTS, a final report of approximately 10 pages is necessary. Note, that participation in the course alone does not oblige to submit a report.