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Abstract
Typically, the measurement of the Quality of Experience for video sequences aims at a single value, in most cases the Mean Opinion Score (MOS). Predicting this value using various algorithms has been widely studied. However, deviation from the MOS is often handled as an unpredictable error. The approach in this contribution estimates intervals of video quality instead of the single valued MOS. Well-known video quality estimators are fused together to output a lower and upper border for the expected video quality, on the basis of a model derived from a well-known subjectively annotated dataset. Results on different datasets provide insight on the suitability of the well-known estimators for this particular approach.
Keywords
Quality of Experience, video quality, large scale evaluation, QoE ranges

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MLA
Tiotsop, Lohic Fotio, et al. “Computing Quality-of-Experience Ranges for Video Quality Estimation.” 2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX), 2019, doi:10.1109/QoMEX.2019.8743303.
APA
Tiotsop, L. F., Masala, E., Aldahdooh, A., Van Wallendael, G., & Barkowsky, M. (2019). Computing quality-of-experience ranges for video quality estimation. In 2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX). Berlin, Germany. https://doi.org/10.1109/QoMEX.2019.8743303
Chicago author-date
Tiotsop, Lohic Fotio, Enrico Masala, Ahmed Aldahdooh, Glenn Van Wallendael, and Marcus Barkowsky. 2019. “Computing Quality-of-Experience Ranges for Video Quality Estimation.” In 2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX). https://doi.org/10.1109/QoMEX.2019.8743303.
Chicago author-date (all authors)
Tiotsop, Lohic Fotio, Enrico Masala, Ahmed Aldahdooh, Glenn Van Wallendael, and Marcus Barkowsky. 2019. “Computing Quality-of-Experience Ranges for Video Quality Estimation.” In 2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX). doi:10.1109/QoMEX.2019.8743303.
Vancouver
1.
Tiotsop LF, Masala E, Aldahdooh A, Van Wallendael G, Barkowsky M. Computing quality-of-experience ranges for video quality estimation. In: 2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX). 2019.
IEEE
[1]
L. F. Tiotsop, E. Masala, A. Aldahdooh, G. Van Wallendael, and M. Barkowsky, “Computing quality-of-experience ranges for video quality estimation,” in 2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX), Berlin, Germany, 2019.
@inproceedings{8641560,
  abstract     = {{Typically, the measurement of the Quality of Experience for video sequences aims at a single value, in most cases the Mean Opinion Score (MOS). Predicting this value using various algorithms has been widely studied. However, deviation from the MOS is often handled as an unpredictable error. The approach in this contribution estimates intervals of video quality instead of the single valued MOS. Well-known video quality estimators are fused together to output a lower and upper border for the expected video quality, on the basis of a model derived from a well-known subjectively annotated dataset. Results on different datasets provide insight on the suitability of the well-known estimators for this particular approach.}},
  author       = {{Tiotsop, Lohic Fotio and Masala, Enrico and Aldahdooh, Ahmed and Van Wallendael, Glenn and Barkowsky, Marcus}},
  booktitle    = {{2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX)}},
  isbn         = {{9781538682128}},
  issn         = {{2372-7179}},
  keywords     = {{Quality of Experience,video quality,large scale evaluation,QoE ranges}},
  language     = {{eng}},
  location     = {{Berlin, Germany}},
  pages        = {{3}},
  title        = {{Computing quality-of-experience ranges for video quality estimation}},
  url          = {{http://dx.doi.org/10.1109/QoMEX.2019.8743303}},
  year         = {{2019}},
}

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