Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
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Visual Media Data Processing (Wintersemester 2019/2020)

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

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 01.10.-30.10.2019
  • Lehrform: Vorlesung
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Deutsch

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-K Konzepte und Methoden
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-T Techniken und Werkzeuge
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-S Spezialisierung
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-K Konzepte und Methoden
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-T Techniken und Werkzeuge
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-S Spezialisierung
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-K Konzepte und Methoden
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-T Techniken und Werkzeuge
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-S Spezialisierung
Data Engineering MA

Beschreibung

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

Voraussetzungen

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

Leistungserfassung

  • 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. 

Termine

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

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