Video Quality Assessment

We propose enhanced methods of video quality assessment (VQA) beyond the commonly used mean opinion scores by including factors such as similarity awareness, predicted eye movement sequences, and quantifying the perceptual viewing experience. Furthermore, we create a large video database that is diverse in content and authentic in distortions commonly encountered.

Below you will find bachelor and master theses topics related to our work.