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Crowdsourcing Quality of Experience Experiments.

, , , , , , , and . Crowdsourcing and Human-Centered Experiments, volume 10264 of Lecture Notes in Computer Science, page 154-190. Springer, (2015)

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Studying the effect of optimizing image quality in salient regions at the expense of background content., , , and . J. Electronic Imaging, 22 (4): 043012 (2013)Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 – 27, 2015, Revised Contributions, , , , , , , and . volume Information Systems and Applications, incl. Internet/Web, and HCI of Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments, page 173 - 212. Springer International Publishing, (2017)Understanding the Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing., , , , , , , and . Crowdsourcing and Human-Centered Experiments, volume 10264 of Lecture Notes in Computer Science, page 27-69. Springer, (2015)Hybrid Neural Systems for Reduced-Reference Image Quality Assessment., , and . ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 684-693. Springer, (2009)The aesthetic appeal of depth of field in photographs., , , and . QoMEX, page 81-86. IEEE, (2014)How to apply spatial saliency into objective metrics for JPEG compressed images?, , , , and . ICIP, page 961-964. IEEE, (2009)When the Crowd Challenges the Lab: Lessons Learnt from Subjective Studies on Image Aesthetic Appeal., , , , and . CrowdMM@ACM Multimedia, page 33-38. ACM, (2015)iCaCoT - Interactive Camera-based Coaching and Training., , and . WSICC@TVX, volume 1516 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Retrieving Relevant and Interesting Tweets During Live Television Broadcasts., , , , and . ICWE Workshops, volume 9396 of Lecture Notes in Computer Science, page 175-185. Springer, (2015)Maximal-discrepancy bounds for regularized classifiers., , , and . IJCNN, page 652-656. IEEE Computer Society, (2009)