Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
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Image & Video Processing - Concepts and Techniques (Sommersemester 2022)

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

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.04.2022 - 30.04.2022
  • Examination time §9 (4) BAMA-O: 28.07.2022
  • Teaching Form: Lecture / Exercise
  • Enrolment Type: Compulsory Elective Module
  • Course Language: German

Programs, Module Groups & Modules

IT-Systems Engineering MA
Data Engineering MA
Digital Health MA
  • SCAD: Scalable Computing and Algorithms for Digital Health
    • HPI-SCAD-C Concepts and Methods
  • SCAD: Scalable Computing and Algorithms for Digital Health
    • HPI-SCAD-T Technologies and Tools
  • SCAD: Scalable Computing and Algorithms for Digital Health
    • HPI-SCAD-S Specialization
  • APAD: Acquisition, Processing and Analysis of Health Data
    • HPI-APAD-C Concepts and Methods
  • APAD: Acquisition, Processing and Analysis of Health Data
    • HPI-APAD-T Technologies and Tools
  • APAD: Acquisition, Processing and Analysis of Health Data
    • HPI-APAD-S Specialization

Description

This course teaches fundamentals of image and video processing techniques and data representations with selected applications to image and video enhancment and stylization as well as 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. 

Literature

A script will be published for the lecture, which will be made available in the Moodle system (https://moodle.hpi3d.de) to accompany the lecture.

Learning

Examination

  • Depending on the number of participants: 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%).
  • We plan 3 to 4 exercises.
  • The performance recording process begins with the submission of the first exercise sheet.
  • If students choose to work in a group (maximum 2 students), the group will receive an overall grade, rather than individual grades for each student.

Dates

  • Monday, 09:15 - 10:45, A1.2
  • Wednesday, 13:30 - 15:00, HS 3
  • First session will be at 20.04.2022, 13:30, HS3

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