Teaching
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
Completed:
- 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
