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Subjective quality assessment study of KULF-TT53 dataset on a commercial light field display

  • University of Westminster

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Light field displays enable immersive visual environments by delivering accurate depth and 3D representation of the content. Due to the constrained viewing angle of light field displays, the alignment between the angular coverage of the captured scene with the field of view (FoV) of the display is essential. This paper employs the Looking Glass Factory light field display—with a 53-degree FoV—to visualize content captured at the same 53-degree angular extent provided in the KULF-TT53 light field dataset. In total, 77 stimuli are used in the test, comprising original contents and impaired version of them, which are encoded with HEVC, and AV1 at 1-5 Mbps bitrate range. Two subjective quality assessment metrics of MOS and DMOS are used to represent the obtained scores from the subjects. The evaluation of the results shows that AV1-encoded stimuli showcase better quality compared with HEVC, with statistically significant quality differences, at the considered bitrates. The per-subjects results of this study are made available upon publication of this work (Q-KULF-TT53 dataset).
Original languageEnglish
Title of host publication2025 International Conference on Visual Communications and Image Processing (VCIP)
Place of PublicationPiscataway, U.S.
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9798331568672
ISBN (Print)9798331568689
DOIs
Publication statusPublished - 24 Feb 2026
Event2025 Visual Communications and Image Processing Conference - Seeparkhotel Klagenfurt, Klagenfurt, Austria
Duration: 1 Dec 20254 Dec 2025
https://vcip2025.itec.aau.at/

Publication series

NameIEEE Visual Communications and Image Processing (VCIP) Copy Persistent Link Browse Title List Sign up for Conference Alerts
PublisherInstitute of Electrical and Electronics Engineers, Inc.
ISSN (Print)1018-8770
ISSN (Electronic)2642-9357

Conference

Conference2025 Visual Communications and Image Processing Conference
Abbreviated titleVCIP 2025
Country/TerritoryAustria
CityKlagenfurt
Period1/12/254/12/25
Internet address

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