Titlebook: Design of Video Quality Metrics with Multi-Way Data Analysis; A data driven approa Christian Keimel Book 2016 Springer Science+Business Med

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Introduction,o simple for algorithms. This problem of assessing visual quality algorithmically has led to the research area of visual quality metrics that aims at providing algorithms that allow us to gain a measure of the visual quality as it would be perceived by human observers. Research so far resulted in a

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Video Quality Metricss to be organised, in particular the recruiting of subjects and preparing the test set-up, but also the execution of these tests must be supervised. This is time consuming and often expensive. Moreover, it is clearly not possible to perform a real-time video quality evaluation of live content being

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Data Analysis Approachd quality are assumed. In doing so, however, two problems can arise: on the one hand the assumptions about the influence of the chosen features may be wrong, but on the other hand possible features may also be excluded beforehand even though they provide in fact a significant contribution to the vid

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Model Building Considerationsll performing prediction models even for unknown video sequences not included in the training. In this chapter, considerations in the model building process are addressed that should be taken into account when using the data analysis approach in the design of video quality metrics. Firstly, the trai