Christian Keimel
Christian Keimel
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video quality metrics
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
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The TUM High Definition Video Data Sets
The research on video quality metrics depends on the results from subjective testing for both the design and development of metrics, …
Christian Keimel
,
Arne Redl
,
Klaus Diepold
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DOI
Video is a Cube
Quality of experience (QoE) is becoming increasingly important in signal processing applications. In taking inspiration from …
Christian Keimel
,
Martin Rothbucher
,
Hao Shen
,
Klaus Diepold
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Improving the verification process of video quality metrics
The most important step in the development process of a video quality metric is its verification with regards to the subjective quality …
Christian Keimel
,
Tobias Oelbaum
,
Klaus Diepold
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