Video Quality Control Toolbox

Project Members

Aljoscha Smolic (Disney Research Zurich)
Tunç Aydın (Disney Research Zurich)
Nikolce Stefanoski (Disney Research Zurich)



A mock-up of a quality control interface. Video quality is shown as a plot over time. The user can click on any point of the plot to see a visualization of distortions at the corresponding frame

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 ( 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” ( project.


NoRM- No-Reference Image Quality Metric for Realistic Image Synthesis-Thumbnail

NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis
May 13, 2012
Eurographics 2012
Paper File [pdf, 23.24 MB]

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