Computer Graphics
TU Braunschweig

Video Quality Assessment


Goal of this project is to assess the quality of rendered videos and especially detect those frames that contain visible artifacts, e.g. ghosting, blurring or popping.


Thomas Löwe, Michael Stengel, Emmy-Charlotte Förster, Steve Grogorick, Marcus Magnor:
Gaze Visualization for Immersive Video
in Burch, Michael and Chuang, Lewis and Fisher, Brian and Schmidt, Albrecht and Weiskopf, Daniel (Eds.): Eye Tracking and Visualization, Springer, ISBN 978-3319470238, pp. 57-71, March 2017.

Maryam Mustafa, Marcus Magnor:
ElectroEncephaloGraphics: Making Waves in Computer Graphics Research
in IEEE Computer Graphics and Applications, vol. 34, no. 6, pp. 46-56, November 2014.

Maryam Mustafa, Stefan Guthe, Marcus Magnor:
Single Trial EEG Classification of Artifacts in Videos
in ACM Transactions on Applied Perception, vol. 9, no. 3, pp. 12:1-12:15, July 2012.

Lea Lindemann, Stephan Wenger, Marcus Magnor:
Evaluation of Video Artifact Perception Using Event-Related Potentials
in Proc. ACM Applied Perception in Computer Graphics and Visualization (APGV), p. 5, August 2011.

Kai Berger, Christian Lipski, Christian Linz, Anita Sellent, Marcus Magnor:
A ghosting artifact detector for interpolated image quality assessment
in Proc. ACM Applied Perception in Computer Graphics and Visualization (APGV), September 2009.

Related Projects


This project focuses on using electroencephalography (EEG) to analyze the human visual process. Human visual perception is becoming increasingly important in the analyses of rendering methods, animation results, interface design, and visualization techniques. Our work uses EEG data to provide concrete feedback on the perception of rendered videos and images as opposed to user studies that just capture the user's response. Our results so far are very promising. Not only have we been able to detect a reaction to artifacts in the EEG data, but we have also been able to differentiate between artifacts based on the EEG response.

Reality CG

Scope of "Reality CG" is to pioneer a novel approach to modelling, editing and rendering in computer graphics. Instead of manually creating digital models of virtual worlds, Reality CG will explore new ways to achieve visual realism from the kind of approximate models that can be derived from conventional, real-world imagery as input.

Who Cares?

Official music video "Who Cares" by Symbiz Sound; the first major production using our Virtual Video Camera.

Dubstep, spray cans, brush and paint join forces and unite with the latest digital production techniques. All imagery depicts live action graffiti and performance. Camera motion added in post production using the Virtual Video Camera.