Each semester Professor Ralph Ewerth offers a course at the Faculty of Electrical Engineering and Compupter Science at Leibniz Universität Hannover. Additionally, the Visual Analytics research group supervises different laboratory work and theses.

Courses at Leibniz Universität Hannover

Summer Semester 2021

Winter Semester 2020/2021

  • Lab Visual Analytics & Multimedia Retrieval

Sommersemester 2020

  • Multimedia Retrieval (Lecture and Tutorial)
  • Lab Visual Analytics & Multimedia Retrieval

Winter Semester 2019/2020

  • Lab Visual Analytics & Multimedia Retrieval

Summer Semester 2019

  • Multimedia Retrieval (Lecture and Tutorial)
  • Lab Visual Analytics & Multimedia Retrieval

Winter Semester 2018/2019

  • Visual Analytics (Lecture and Tutorial)

Summer Semester 2018

  • Multimedia Retrieval (Lecture and Tutorial)

Winter Semester 2017/2018

  • Visual Analytics (Lecture and Tutorial)

Summer Semester 2017

  • Multimedia Retrieval (Lecture and Tutorial)

Winter Semester 2016/2017

  • Lecture: Visual Analytics
  • Tutorial: Visual Analytics

Summer Semester 2016

  • Lecture: Multimedia Retrieval
  • Tutorial: Multimedia Retrieval

Bachelor and Master Thesis

Open Topics: 

  • Search as Learning (SaL): Investigating the Impact of Images and Videos in SaL Scenarios 
  • Using Knowledge Graphs for Video Question Answering
  • Analysing and Linking Graphical Representations in Computer Science Publications to their Implementation 
  • Linking Formulas in Scientific Publication with their Software Implementation

  • Nutzerstudie zum Lernen mit Videos im TIB AV-Portal 

  • Automatic Captioning for Scholarly figures and Images in Scientific Publications 
  • Information Extraction from Scientific (Textual) Publications for Knowledge Graph Enrichment  
  • Improving OCR for Recognizing Text in Scientific Videos
  • Developing of a Tracking Concept for the AV Portal



  • Classification of figures and relevant text relations in scientific documents
    edited by Sebastian Holzki
  • Person identification in image data of the internet archive
    edited by Sebastian Diering 
  • Aligning and visualising positon and video data of football games
  • Automatic classification of team formations in football games using position data
    edited by Jonas Theiner 
  • Evaluation of data augmentation techniques for formula recognition in images 
  • Content analysis and result visualization for video analytics
  • Automatic analysis of student drawings in chemistry lessons using machine learning
  • A system for exploring relations between scientific publications and software implementations
    edited by Jascha Hagen
    completed in November 2017 
  • Image geolocation estimation using context information
    edited by Kader Pustu-Iren 
    completed in October 2017
  • Enriching scientific videos with information from open data sources
    completed in October 2017
  • Synthesizing face variations from limited data for face recognition
    completed in May 2017 
  • Estimating the information gap between textual and graphical representations
    edited by Christian Henning
    completed in January 2017