Due to the lack of reliable computational models, psychophysical methods are still considered
the gold standard for assessing the perceptual quality of technical systems of visual communication
and computing. The core of these methods is a judgment experiment: a human observer is presented
with a stimulus, i.e. a distorted (or undistorted) image or video, and gives an overt response on
its perceived quality. These methods are well standardized and widely used in practice. However,
they inherently suffer from conceptual and practical flaws that impose certain limitations on the
interpretation and the applicability of psychophysical tests.
In my talk I will describe how psychophysiological, e.g. EEG-based, methods may bypass the
drawbacks of conventional quality assessment and outline avenues of research toward the objective
assessment of subjectively perceived quality.
Sebastian Bosse is a senior researcher with the Machine Learning group and the Image Video
Coding group in the Video Coding & Analytics Department of Fraunhofer Institute for
Telecommunications – Heinrich Hertz Institute, Berlin, Germany.
He studied Electrical Engineering and Information Technology at RWTH Aachen University,
Aachen, Germany and Polytechnic University of Catalonia, Barcelona, Spain. He received the
Dipl.-Ing. degree in from RWTH Aachen University, Aachen, Germany and the Dr.-Ing. degree in
Electrical Engineering and Computer Science from Berlin University of Technology, Germany.
As a student, Sebastian was a visiting researcher at Siemens Corporate Research, Princeton,
USA. In 2014, he was a guest researcher at Stanford University, USA.
His major research interests are image and video compression, human visual perception for
image communications, and neural correlates of perceived image quality and quality of experience,
as well as signal processing.
University of Konstanz, Powerwall Room C202
The talk will be transmitted to Stuttgart, VISUS, Powerwall Room, cellar