Feature extraction

Length-independent refinement of video quality metrics based on multiway data analysis
In previous publications it has been shown that no-reference video quality metrics based on a data analysis approach rather than on …
Clemens Horch, Christian Keimel, Julian Habigt, Klaus Diepold
PDF DOI
Length-independent refinement of video quality metrics based on multiway data analysis
Saliency based video quality prediction using multi-way data analysis
Saliency information allows us to determine which parts of an image or video frame attracts the focus of the observer and thus where …
Arne. Redl, Christian Keimel, Klaus Diepold
PDF DOI
Saliency based video quality prediction using multi-way data analysis
Hybrid No-Reference Video Quality Metric Based on Multiway PLSR
In real-life applications, no-reference metrics are more useful than full-reference metrics. To design such metrics, we apply data …
Christian Keimel, Julian Habigt, KlausDiepold
Hybrid No-Reference Video Quality Metric Based on Multiway PLSR
No-reference video quality metric for HDTV based on H.264/AVC bitstream features
No-reference video quality metrics are becoming ever more popular, as they are more useful in real-life applications compared to …
Christian Keimel, Manuel Klimpke, Julian Habigt, Klaus Diepold
PDF DOI
No-reference video quality metric for HDTV based on H.264/AVC bitstream features
Improving the prediction accuracy of video quality metrics
To improve the prediction accuracy of visual quality metrics for video we propose two simple steps: temporal pooling in order to gain a …
Christian Keimel, Tobias Oelbaum, Klaus Diepold
PDF DOI
Improving the prediction accuracy of video quality metrics