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In previous publications it has been shown that no-reference video quality metrics based on a data analysis approach rather than on modeling the human visual system lead to very promising results and outperform many well-known full-reference metrics. Furthermore, the results improve when taking the temporal structure of the video sequence into account by using multiway analysis methods. This contribution...
In real-life applications, no-reference metrics are more useful than full-reference metrics. To design such metrics, we apply data analysis methods to objectively measurable features and to data originating from subjective testing. Unfortunately, the information about temporal variation of quality is often lost due to the temporal pooling over all frames. Instead of using temporal pooling, we have...
No-reference video quality metrics are becoming ever more popular, as they are more useful in real-life applications compared to full-reference metrics. One way to design such metrics is by applying data analysis methods on both objectively measurable features and data from subjective testing. Partial least squares regression (PLSR) is one such method. In order to apply such methods, however, we have...
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