QualityCrowd — A framework for crowd-based quality evaluation
By Christian Keimel, Julian Habigt, C. Horch, Klaus-Jürgen Diepold. 2012
112 citations recorded by the source corpus.
Subfields: Computer Science Applications, Computer Vision and Pattern Recognition
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In Computer Science Applications
In Computer Vision and Pattern Recognition
Citations in the corpus
- An Open source Implementation of ITU-T Recommendation P.808 with Validation (2020, background): “CrowdMOS [6] ACR, MUSHRA Y N N Y Y (N=2) QualityCrowd2 [7] ACR Y N N N N BeaqleJS [8] ABX, MUSHRA Y N N N N WESP+ [9] ACR, DCR, PC, Y N N N N DSIS, DSCQS webMUSHRA [10] AB, ABX, Y N N N N MUSHRA, ACR CAQE [11] MUSHRA, PC N Y N Y N P.”
- Large-Scale Study of Perceptual Video Quality (2018, methodology): “For example, in the study in [20], the participants were allowed to use either Adobe Flash Player or HTML5 to display videos, depending on the compatibility of their browser.”
- A web based subjective evaluation platform (2013, methodology): “In [4], QualityCrowd is presented, a platform designed for Mechanical Turk.”