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ACR360: A Dataset on Subjective 360° Video Quality Assessment Using ACR Methods
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-7550-5818
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-3604-2766
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-3283-2819
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-1730-9026
2023 (English)In: 2023 16th International Conference on Signal Processing and Communication System, ICSPCS 2023 - Proceedings / [ed] Wysocki B.J., Wysocki T.A., Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

The recent advances in immersive technologies have been essential in the development of a wide range of novel standalone and networked immersive media applications. The concepts of virtual reality, augmented reality, and mixed reality relate to different compositions of real and computer-generated virtual objects. In this context, 360° video streaming has become increasingly popular offering improved immersive experiences when viewed on a head-mounted display (HMD). An important component in the development of novel immersive media systems are subjective tests in which participants assess the quality of experience of representative test stimuli. In this paper, the annotated ACR360 dataset is presented which is publicly available on GitHub. The ACR360 dataset contains a wide range of psychophysical and psychophysiological data that was collected in Subjective tests on 360° video quality. The test stimuli were shown on an HMD and rated according to the absolute category rating (ACR) and modified ACR (MACR) methods. To support an easy exploration and utilization of the ACR360 dataset by the research community, its structure on GitHub is described and a comprehensive illustration of analysis options are provided for each data category. The ACR360 dataset may be used for conducting meta-analysis in combination with other datasets to improve precision and to pursue research questions that cannot be answered by an individual study. © 2023 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
Keywords [en]
360° video, absolute category rating, annotated dataset, Immersive media, quality assessment, Subjective test, Helmet mounted displays, Image quality, Mixed reality, Quality of service, Statistical tests, Subjective testing, Video streaming, Absolute category ratings, Annotated datasets, Head-mounted-displays, Immersive technologies, Media application, Video quality, Augmented reality
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-25548DOI: 10.1109/ICSPCS58109.2023.10261151Scopus ID: 2-s2.0-85174510305ISBN: 9798350333510 (print)OAI: oai:DiVA.org:bth-25548DiVA, id: diva2:1810200
Conference
16th International Conference on Signal Processing and Communication System, ICSPCS 2023, Bydgoszcz, 6 Sept - 8 Sept 2023
Part of project
HINTS - Human-Centered Intelligent RealitiesVIATECH- Human-Centered Computing for Novel Visual and Interactive Applications, Knowledge Foundation
Funder
Knowledge Foundation, 20220068Knowledge Foundation, 20170056
Note

  

Available from: 2023-11-07 Created: 2023-11-07 Last updated: 2023-11-08Bibliographically approved

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Elwardy, MajedZepernick, Hans-JuergenHu, YanChu, Thi My Chinh

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