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Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment

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2018

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https://doi.org/10.1109/QoMEX.2018.8463426
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2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, New Jersey, USA: IEEE, 2018, pp. 72-74. eISSN 2472-7814. ISBN 978-1-5386-2605-4. Available under: doi: 10.1109/QoMEX.2018.8463426

Zusammenfassung

One of the main challenges in no-reference video quality assessment is temporal variation in a video. Methods typically were designed and tested on videos with artificial distortions, without considering spatial and temporal variations simultaneously. We propose a no-reference spatiotemporal feature combination model which extracts spatiotemporal information from a video, and tested it on a database with authentic distortions. Comparing with other methods, our model gave satisfying performance for assessing the quality of natural videos.

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004 Informatik

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2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX), 29. Mai 2018 - 1. Juni 2018, Cagliari, Italy
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ISO 690MEN, Hui, Hanhe LIN, Dietmar SAUPE, 2018. Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment. 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). Cagliari, Italy, 29. Mai 2018 - 1. Juni 2018. In: 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, New Jersey, USA: IEEE, 2018, pp. 72-74. eISSN 2472-7814. ISBN 978-1-5386-2605-4. Available under: doi: 10.1109/QoMEX.2018.8463426
BibTex
@inproceedings{Men2018Spati-44633,
  year={2018},
  doi={10.1109/QoMEX.2018.8463426},
  title={Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment},
  isbn={978-1-5386-2605-4},
  publisher={IEEE},
  address={Piscataway, New Jersey, USA},
  booktitle={2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)},
  pages={72--74},
  author={Men, Hui and Lin, Hanhe and Saupe, Dietmar}
}
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