Christian Keimel
Christian Keimel
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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
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DOI
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
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
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BibTeX
DOI
No-reference video quality evaluation for high-definition video
A no-reference video quality metric for High-Definition video is introduced. This metric evaluates a set of simple features such as …
Christian Keimel
,
Tobias Oelbaum
,
Klaus Diepold
PDF
BibTeX
DOI
Rule-Based No-Reference Video Quality Evaluation Using Additionally Coded Videos
This contribution presents a no-reference video quality metric, which is based on a set of simple rules that assigns a given video to …
Tobias Oelbaum
,
Christian Keimel
,
Klaus Diepold
PDF
BibTeX
DOI
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