Quality assessment

Best Practices and Recommendations for Crowdsourced QoE - Lessons learned from the Qualinet Task Force ''Crowdsourcing''
Crowdsourcing is a popular approach that outsources tasks via the Internet to a large number of users. Commercial crowdsourcing …
Tobias Hoßfeld, Matthias Hirth, Judith Redi, Filippo Mazza, Pavel Korshunov, Babak Naderi, Michael Seufert, Bruno Gardlo, Sebastian Egger, Christian Keimel
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Best Practices and Recommendations for Crowdsourced QoE - Lessons learned from the Qualinet Task Force ''Crowdsourcing''
Crowdsourcing Quality-of-Experience Assessments
Crowdsourced quality-of-experience (QoE) assessments are more cost-effective and flexible than traditional in-lab evaluations but …
Tobias Hoßfeld, Christian Keimel, Christian Timmerer
DOI
Evaluation of video quality fluctuations using pattern categorisation
Fluctuations of video quality over time can have a significant influence on the overall perceived quality as represented by the QoE. …
Clemens Horch, Julian Habigt, Christian Keimel, Klaus Diepold
PDF DOI
Evaluation of video quality fluctuations using pattern categorisation
Survey of web-based crowdsourcing frameworks for subjective quality assessment
The popularity of the crowdsourcing for performing various tasks online increased significantly in the past few years. The low cost and …
Tobias Hoßfeld, Matthias Hirth, Pavel Korshunov, Phillipe Hanhart, Bruno Gardlo, Christian Keimel, Christian Timmerer
PDF DOI
Survey of web-based crowdsourcing frameworks for subjective quality assessment
Beyond Standard Noise Models: Evaluating Denoising Algorithms with Respect to Realistic Camera Noise
The development and tuning of denoising algorithms is usually based on readily processed test images that are artificially degraded …
Tamara Seybold, Marion Knopp, Christian Keimel, Walter Stechele
PDF DOI
Beyond Standard Noise Models: Evaluating Denoising Algorithms with Respect to Realistic Camera Noise
Towards an Evaluation of Denoising Algorithms with Respect to Realistic Camera Noise
The development and tuning of denoising algorithms is usually based on readily processed test images that are artificially degraded …
Tamara Seybold, Christian Keimel, Marion Knopp, Walter Stechele
PDF DOI
Towards an Evaluation of Denoising Algorithms with Respect to Realistic Camera Noise
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
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
Challenges in crowd-based video quality assessment
Video quality evaluation with subjective testing is both time consuming and expensive. A promising new approach to traditional testing …
Christian Keimel, Julian Habigt, Klaus Diepold
PDF DOI
Challenges in crowd-based video quality assessment