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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 Inc. , 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 Inc. , 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 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: 2021-12-21Bibliographically approved

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Elwardy, MajedZepernick, Hans-JuergenSundstedt, Veronica

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