Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Annotated 360-Degree Image and Video Databases: A Comprehensive Survey
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
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: 0000-0003-3639-9327
2019 (English)In: 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2019Conference paper, Published paper (Refereed)
Abstract [en]

The advances in 5G mobile networks are expected to enable immersive interconnected mobile multimedia systems. As humans are the final judges of the quality of immersive multimedia, it is essential to engage a suitable ground truth in the design of such systems. Databases annotated with results from subjective tests constitute such ground truth given as opinion scores, head movements, eye tracking data, psychophysiological data, and other data related to the viewers' behavior. On this basis, perception-based quality assessment of algorithms, systems, and services can be performed, and objective perceptual quality models can be developed. In this paper, a comprehensive survey of publicly available annotated 360-degree image and video databases is provided. The survey may guide the selection of ground truth on 360-degree images and videos to support quality assessment and modeling research. Further, the survey reveals the need for establishing new annotated databases that address the full range of subjective aspects of immersive multimedia. © 2019 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019.
Keywords [en]
360-degree images, 360-degree videos, annotated databases, ground truth, Immersive multimedia, 5G mobile communication systems, Database systems, Eye movements, Eye tracking, Multimedia systems, Surveys, Video recording, Annotated database, Immersive, Image annotation
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-19373DOI: 10.1109/ICSPCS47537.2019.9008715ISI: 000613248200055Scopus ID: 2-s2.0-85082001094ISBN: 9781728121949 (print)OAI: oai:DiVA.org:bth-19373DiVA, id: diva2:1422845
Conference
13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019; Gould Coast; Australia; 16 December 2019 through 18 December 2019
Part of project
VIATECH- Human-Centered Computing for Novel Visual and Interactive Applications, Knowledge Foundation
Funder
Knowledge Foundation, 20170056Available from: 2020-04-09 Created: 2020-04-09 Last updated: 2024-11-20Bibliographically approved
In thesis
1. Participants' Quality Experiences and Behavior in 360° Videos
Open this publication in new window or tab >>Participants' Quality Experiences and Behavior in 360° Videos
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In the rapidly evolving virtual reality (VR) field, assessing video quality on head-mounted displays (HMDs) for 360° videos presents unique opportunities and challenges. As immersive multimedia becomes increasingly widespread, understanding how users perceive and evaluate the quality of 360° videos is essential. This thesis investigates the subjective quality assessment tests of 360° videos, examining how participants' VR experiences, viewing conditions, and exploration behaviors shape perceptions of quality. This thesis aims to perform subjective quality assessment tests to study and understand how participants perceive the quality of 360° videos on an HMD. The thesis starts with an extended summary of the field of subjective quality assessment for 360° videos, followed by eight key publications, and unfolds into three main parts.

The first part of the thesis focuses on data collection to establish ground truth. It includes a comprehensive survey of annotated 360° images and videos datasets related to subjective quality assessment. It also presents a set of datasets collected specifically for subjective quality assessment tests for 360° videos with different test methods and viewing conditions conducted as part of the research. The second part of the thesis investigates how varying levels of VR experience affect participants' video quality assessments. It compares two test methods, the absolute category rating (ACR) and the modified ACR (MACR) method, to evaluate 360° video quality. Furthermore, this part evaluates simulator sickness in participants viewing 360° video on an HMD and explores how their prior VR experience levels correlate with the occurrence of these symptoms. The third and final part of the thesis focuses on assessing viewing conditions and rating consistency. It involves conducting subjective quality assessment tests for 360° videos under different viewing conditions, such as standing and seated viewing, and providing a statistical analysis of the psychophysical and psychophysiological measures. This part also investigates the consistency of 360° video quality assessments through repeated subjective quality assessment tests under opportunity-limited conditions. It examines how quality assessments vary between the standing and seated viewing conditions and explores whether participants' subjective evaluations of 360° videos change over time or remain stable across repeated exposures.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2025. p. 255
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 2025:01
Keywords
360° Video, Immersive Multimedia, Video Quality Assessment, Participants' Experience, Head-Mounted Display, Virtual Reality, Subjective Tests, Standing Viewing, Seated Viewing
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-27122 (URN)978-91-7295-493-9 (ISBN)
Public defence
2025-01-17, J1630, Campus Gräsvik, Karlskrona, 09:00 (English)
Opponent
Supervisors
Available from: 2024-11-21 Created: 2024-11-20 Last updated: 2024-11-28Bibliographically approved

Open Access in DiVA

fulltext(569 kB)47 downloads
File information
File name FULLTEXT01.pdfFile size 569 kBChecksum SHA-512
49a30a38c1184772f2c970ce1bcded3e6bcc12ad2f45525127167bb5ec165893bb851e4ae3716798e740e33f28a3e2fb660f4dacf210088fc44ac0913c9aaf00
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Elwardy, MajedZepernick, Hans-JuergenSundstedt, Veronica

Search in DiVA

By author/editor
Elwardy, MajedZepernick, Hans-JuergenSundstedt, Veronica
By organisation
Department of Computer Science
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 47 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 274 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf