Course description
This workshop is targeted at students and researchers working with video recordings You will learn to use MG Toolbox, a Python package with numerous tools for visualizing and analyzing video files. This includes visualization techniques such as motion videos, motion history images, and motiongrams; techniques that, in different ways, allow for looking at video recordings from different temporal and spatial perspectives. It also includes some basic computer vision analysis, such as extracting quantity and centroid of motion, and using such features in analysis.
MG Toolbox for Python is a collection of high-level modules that generate all of the above-mentioned visualizations.The toolbox is relevant for everyone working with video recordings of humans, such as in linguistics, psychology, medicine, human-computer interaction, and educational sciences.
Target audience
Everyone interested in video analysis.
Learning outcomes
- Learn to generate various types of visualizations from video recordings.
Prerequisites and required materials
- Basic knowledge of Python and Jupyter Notebook.
- Laptop with Python and Jupyter Notebook installed.
Lunch
- There will be a complementary buffet-lunch at 12:00-13:00 from the Sverdrups spiseri (Georg Sverdrups Hus, 2nd floor).
- After you get your lunch, join us at Store møterom where we have reserved seats for #DSDays25 participants.
Number of participants
After the soft deadline, a waiting list will be automatically handled upon de-registrations.
Contact
If you have any questions regarding this course, or anything else about the DSDays25 event, please contact us per email: digitalscholarship@ub.uio.no
Sign up for this workshop!