Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI

Image & Video Processing Techniques (Sommersemester 2017)

Dozent: Dr. Matthias Trapp (Computergrafische Systeme) , Sebastian Pasewaldt (Computergrafische Systeme)

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 28.04.2017
  • Lehrform: Vorlesung / Übung
  • Belegungsart: Wahlpflichtmodul

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • IT-Systems Engineering
    • HPI-ITSE-A Analyse
  • IT-Systems Engineering
    • HPI-ITSE-E Entwurf
  • IT-Systems Engineering
    • HPI-ITSE-K Konstruktion
  • IT-Systems Engineering
    • HPI-ITSE-M Maintenance
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-K Konzepte und Methoden
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-S Spezialisierung
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-T Techniken und Werkzeuge
  • SAMT: Software Architecture & Modeling Technology
    • HPI-SAMT-K Konzepte und Methoden
  • SAMT: Software Architecture & Modeling Technology
    • HPI-SAMT-S Spezialisierung
  • SAMT: Software Architecture & Modeling Technology
    • HPI-SAMT-T Techniken und Werkzeuge


This course teaches fundamentals of image and video processing techniques with major applications to image stylization and video summarization. Concepts and implementation of processing technique sand their optimizations based on OpenGL 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


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. 

Lern- und Lehrformen

  • Lectures and exercises


  • 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


  • Monday, 09:15 - 10:45, H-E.51
  • Wednesday, 13:30 - 15:00, H-2.57