Video Quality Control Toolbox
The goal of this project is developing a set of tools that will enable automatic and/or semi-automatic quality control of video content. We will start by implementing current state-of-the-art objective quality assessment methods and investigating their performance. We will also invest time in building an intuitive user interface that will allow the users to conveniently work with the underlying quality assessment algorithms.
New measurements presented in recent work revealed weaknesses of image quality metrics (http://www.mpi-inf.mpg.de/resources/hdr/iqm-evaluation/cadik12iqm_evaluation.pdf). The research aspect of the project is to improve the current state-of-the-art in quality assessment, possibly through the use of multimodal saliency framework developed for the “Gaze Depth Prediction for Stereoscopic Video” (https://projects.disneyresearch.com/project/98/) project.