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A New Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (Realistic3D)ORCID iD: 0000-0002-3210-8978
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (Realistic3D)ORCID iD: 0009-0006-9845-1652
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (Realistic3D)ORCID iD: 0009-0008-5477-0920
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (Realistic3D)ORCID iD: 0000-0001-7416-5615
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2024 (English)Other (Other academic)
Resource type
Software, multimedia
Physical description [en]

This database contains 20 spherical light fields of 1 x 60 views, captured with a consumer-grade 360-degree camera: Insta360 X3. The capture was done using a dolly to ensure the separation between consecutive views is exactly 1 cm. In addition to the original captures, this database also provides outputs for two different use cases: compression and view synthesis. Several parameters, features, and objective quality metric values are also included.

Abstract [en]

This database is created by the Realistic 3D research group at Mid Sweden University, Sundsvall, Sweden. The database details are explained thoroughly in the publication which was published at the 16th International Conference on Quality of Multimedia Experience (QoMEX) in 2024. This database was also reviewed as part of the submission and publication process.

Place, publisher, year, pages
2024.
Keywords [en]
light field, omnidirectional, compression, view synthesis, telepresence
National Category
Signal Processing Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-52172DOI: 10.5281/zenodo.10641169OAI: oai:DiVA.org:miun-52172DiVA, id: diva2:1890370
Projects
InfoVizPlenoptima
Funder
EU, Horizon 2020, 956770Knowledge Foundation, 2019-0251Available from: 2024-08-19 Created: 2024-08-19 Last updated: 2025-09-25Bibliographically approved

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Authority records

Zerman, EminGond, ManuTakhtardeshir, SoheibOlsson, RogerSjöström, Mårten

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Zerman, EminGond, ManuTakhtardeshir, SoheibOlsson, RogerSjöström, Mårten
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Department of Computer and Electrical Engineering (2023-)
Signal ProcessingComputer Engineering

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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Output format
  • html
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  • asciidoc
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