Publikation: On the Impact of Viewing Distance on Pe...
Stammdaten
Titel: | On the Impact of Viewing Distance on Perceived Video Quality |
Untertitel: | |
Kurzfassung: | Due to the growing importance of optimizing the quality and efficiency of video streaming delivery, accurate assessment of user-perceived video quality becomes increasingly important. However, due to the wide range of viewing distances encountered in real-world viewing settings, the perceived video quality can vary significantly in everyday viewing situations. In this paper, we investigate and quantify the influence of viewing distance on perceived video quality. A subjective experiment was conducted with full HD sequences at three different fixed viewing distances, with each video sequence being encoded at three different quality levels. Our study results confirm that the viewing distance has a significant influence on the quality assessment. In particular, they show that an increased viewing distance generally leads to increased perceived video quality, especially at low media encoding quality levels. In this context, we also provide an estimation of potential bitrate savings that knowledge of actual viewing distance would enable in practice. Since current objective video quality metrics do not systematically take into account viewing distance, we also analyze and quantify the influence of viewing distance on the correlation between objective and subjective metrics. Our results confirm the need for distance-aware objective metrics when the accurate prediction of perceived video quality in real-world environments is required. |
Schlagworte: | Measurement, Image coding, Visual communication, Video sequences, Estimation, Streaming media, Media, video streaming, QoE, viewing distance, subjective testing |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 05.12.2021 (Print) |
Erschienen in: |
2021 International Conference on Visual Communications and Image Processing (VCIP)
2021 International Conference on Visual Communications and Image Processing (VCIP)
(
IEEE;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1 - 5 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 05.12.2021 |
ISBN: | - |
ISSN: | - |
Homepage: | - |
Erscheinungsdatum: | 20.01.2022 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1109/vcip53242.2021.9675431 |
Homepage: | - |
Open Access |
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AutorInnen
Hadi Amirpourazarian (intern) | ||||
Raimund Schatz
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Christian Timmerer (intern) | ||||
Mohammad Ghanbari (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
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Forschungscluster | Kein Forschungscluster ausgewählt |
Peer Reviewed |
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Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Kooperationen
Organisation | Adresse | ||||
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University of Essex
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GB - C04 3SQ Colchester |
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AIT Austrian Institute of Technology Gmbh Standort Klagenfurt
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AT - 9020 Klagenfurt |
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
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Veranstaltungen: | Keine verknüpften Veranstaltung vorhanden |
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