Visual Media Data Processing (Wintersemester 2019/2020)

Lecturer: Dr. Matthias Trapp (Computergrafische Systeme) , Sumit Shekhar (Computergrafische Systeme) , Max Reimann (Computergrafische Systeme)

General Information

• Weekly Hours: 4
• Credits: 6
• Graded: yes
• Enrolment Deadline: 01.10.-30.10.2019
• Teaching Form: Lecture
• Enrolment Type: Compulsory Elective Module
• Course Language: German

Programs, Module Groups & Modules

Description

This course teaches fundamentals of image and video processing techniques and data representations with applications to image stylization and video summarization. Concepts and implementation of processing techniques are part of the lectures and exercises. Course topics include (among others):

• Introduction to Image and Video Processing
• Signal Processing and Sampling
• Point-based Processing Operation
• Neighborhood-based Processing Operations
• Global Processing Operations
• Hardware-accelerated Optimization Techniques
• Deep Neural Networks for Image and Video Transformations
• Image and Video Stylization
• Video Summarization

Requirements

There are no formal requirements. Successful participation of 3D Computergrafik I+II lectures as well as knowledge of OpenGL and the OpenGL Shading Language is beneficial. 

Learning

• Lectures and exercises

Examination

• Oral or written exam at the end of the course
• The final grade is constituted by the exercise grade (25%) and the exam grade (75%)
• The successful passing of the exercise is mandatory to attend the exam

If the students plan to work in a group (of maximum 2 students), the group will get one grade, instead of individual grades for each student. 

Dates

• Monday, 13:30 - 15:00, H-E.57
• Wednesday, 15:15 - 16:45, H-2.57

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