Master data

Title: On the Impact of Viewing Distance on Perceived Video Quality
Subtitle:
Abstract:

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.

Keywords: Measurement, Image coding, Visual communication, Video sequences, Estimation, Streaming media, Media, video streaming, QoE, viewing distance, subjective testing
Publication type: Article in Proceedings (Authorship)
Publication date: 05.12.2021 (Print)
Published by: 2021 International Conference on Visual Communications and Image Processing (VCIP)
2021 International Conference on Visual Communications and Image Processing (VCIP)
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 1 - 5

Versionen

Keine Version vorhanden
Publication date: 05.12.2021
ISBN: -
ISSN: -
Homepage: -
Publication date: 20.01.2022
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/vcip53242.2021.9675431
Homepage: -
Open access
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Multimedia Communication

Cooperations

Organisation Address
University of Essex
Wivenhoe Park
C04 3SQ Colchester
Great Britain & N.Ireland
https://www.essex.ac.uk/
Wivenhoe Park
GB - C04 3SQ  Colchester
AIT Austrian Institute of Technology Gmbh Standort Klagenfurt
Lakeside b10A
9020 Klagenfurt
Austria - Carinthia
Lakeside b10A
AT - 9020  Klagenfurt

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