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Crowdsourcing Quality of Experience Experiments

, , , , , , , and . Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments, Springer, (September 2017)

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No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features., , , and . CoRR, (2019)Performance evaluation of HD camcorders: measuring texture distortions using Gabor filters and spatio-velocity CSF., and . IQSP, volume 8653 of SPIE Proceedings, page 86530A. SPIE, (2013)JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range., , , , , and . QoMEX, page 55-60. IEEE, (2023)SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning., , , , , , and . QoMEX, page 1-6. IEEE, (2019)Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images., , , , and . ICIP, page 156-160. IEEE, (2020)Rendering Methods for Iterated Function Systems, , and . Fractals in the Fundamental and Applied Sciences: Proceedings of the First IFIP Conference on Fractals in the Fundamental and Applied Sciences, Lisbon, Portugal, 6-8 June, 1990, page 183--224. New York, IFIP, North-Holland, (December 1991)How to Stay Ahead of the Pack: Optimal Road Cycling Strategies for two Cooperating Riders., and . Int. J. Comp. Sci. Sport, 16 (2): 88-100 (2017)Empirical Analysis of Pacing in Road Cycling., , , and . MMSports@MM, page 74-81. ACM, (2019)Crowdsourcing Quality of Experience Experiments, , , , , , , and . Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments, Springer, (September 2017)An objective method of measuring texture preservation for camcorder performance evaluation., , and . IQSP, volume 8293 of SPIE Proceedings, page 829304. SPIE, (2012)