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JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range

, , , , , and . 15th International Conference on Quality of Multimedia Experience (QoMEX), page 55-60. (2023)
DOI: 10.1109/QoMEX58391.2023.10178554

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JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range, , , , , and . 15th International Conference on Quality of Multimedia Experience (QoMEX), page 55-60. (2023)Subjective Image Quality Assessment with Boosted Triplet Comparisons, , , and . IEEE Access, (2021)The Konstanz natural video database (KoNViD-1k)., , , , , , , and . Proceedings of the International Conference on Quality of Multimedia Experience (QoMEX), page 1-6. IEEE, (2017)On Multi-agent Scheduling and Planning for Distributed Enactment of Web-Service Workflows., and . SWWS, page 55-61. CSREA Press, (2007)Blind Image and Video Quality Assessment.. University of Konstanz, Germany, (2018)Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference, , , , , , and . IEEE Transactions on Circuits and Systems for Video Technology, 32 (9): 5859-5873 (2022)Blind Image Quality Assessment Through Wakeby Statistics Model., and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 14-21. Springer, (2015)Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition, , and . Sensors, (2020)Realtime Quality Assessment of Iris Biometrics Under Visible Light, , and . Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPRW), CVPR Workshops, page 443-452. IEEE, (2018)Relaxed forced choice improves performance of visual quality assessment methods, , , , , and . 2023 15th International Conference on Quality of Multimedia Experience (QoMEX), page 37-42. (2023)