Publikation:

Visual Quality Assessment for Interpolated Slow-motion Videos based on a Novel Database

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Datum

2020

Autor:innen

Bruhn, Andres

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http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1qm6emstq26fw8
DOI (zitierfähiger Link)
https://doi.org/10.1109/QoMEX48832.2020.9123096
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Open Access-Veröffentlichung
Open Access Green

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Informatik und Informationswissenschaft: Publikationen
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Beitrag zu einem Konferenzband
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Published

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2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, 2020. eISSN 2472-7814. ISBN 978-1-72815-965-2. Available under: doi: 10.1109/QoMEX48832.2020.9123096

Zusammenfassung

Professional video editing tools can generate slow-motion video by interpolating frames from video recorded at a standard frame rate. Thereby the perceptual quality of such interpolated slow-motion videos strongly depends on the underlying interpolation techniques. We built a novel benchmark database that is specifically tailored for interpolated slow-motion videos (KoSMo-1k). It consists of 1,350 interpolated video sequences, from 30 different content sources, along with their subjective quality ratings from up to ten subjective comparisons per video pair. Moreover, we evaluated the performance of twelve existing full-reference (FR) image/video quality assessment (I/VQA) methods on the benchmark. In this way, we are able to show that specifically tailored quality assessment methods for interpolated slow-motion videos are needed, since the evaluated methods - despite their good performance on real-time video databases - do not give satisfying results when it comes to frame interpolation.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

visual quality assessment, slow motion, optical flow, frame interpolation

Konferenz

2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), 26. Mai 2020 - 28. Mai 2020, Athlone, Ireland
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ISO 690MEN, Hui, Vlad HOSU, Hanhe LIN, Andres BRUHN, Dietmar SAUPE, 2020. Visual Quality Assessment for Interpolated Slow-motion Videos based on a Novel Database. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). Athlone, Ireland, 26. Mai 2020 - 28. Mai 2020. In: 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, 2020. eISSN 2472-7814. ISBN 978-1-72815-965-2. Available under: doi: 10.1109/QoMEX48832.2020.9123096
BibTex
@inproceedings{Men2020Visua-53102,
  year={2020},
  doi={10.1109/QoMEX48832.2020.9123096},
  title={Visual Quality Assessment for Interpolated Slow-motion Videos based on a Novel Database},
  isbn={978-1-72815-965-2},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)},
  author={Men, Hui and Hosu, Vlad and Lin, Hanhe and Bruhn, Andres and Saupe, Dietmar}
}
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