“…Despite these differences between crowdsourced and laboratory-based image and video quality assessment, crowdsourced image and video quality assessment has been used so far successfully as a replacement for laboratory-based QoE assessments for a number of different research questions: Image recognizability and aesthetic appeal [81,83,84], selfie portrait images perception in a recruitment context [69], privacy in HDR images and video [59,60,86], QoE of video coding in general [57,58], audio-visual QoE of Internet-based applications in [8,9,109], and influence of stalling events and initial delays [34,36] on the QoE of video streaming applications. In addition, a general discussion using crowdsourcing for image and video QoE is provided by Hossfeld et al [33,84].…”