Subjective and objective quality assessment for volumetric video

Evangelos Alexiou; Yana Nehmé; Emin Zerman; Irene Viola; Guillaume Lavoué; Ali Ak; Aljosa Smolic; Patrick Le Callet; Pablo Cesar

doi:10.1016/B978-0-32-391755-1.00024-9

Subjective and objective quality assessment for volumetric video

Evangelos Alexiou, Yana Nehmé, Emin Zerman, Irene Viola, Guillaume Lavoué, Ali Ak, Aljosa Smolic, Patrick Le Callet, Pablo Cesar

Multimedia Computing

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific

5 Citations (Scopus)

168 Downloads (Pure)

Abstract

Volumetric video (VV) is a novel form of video that allows recreation of real-world scenes in 3D with users consuming the content from any viewpoint they desire. This makes VV best suited for augmented reality (AR) or virtual reality (VR) applications. This freedom necessitates increased user interaction with the VV itself, which brings new challenges to its visual quality assessment. In this chapter, various aspects of VV quality assessment using subjective user studies and objective quality estimation methods are discussed. These aspects include the manner of representing 3D models, mode of interaction, display settings (e.g., whether AR or VR headsets are used), rendering parameters, and how the characteristics of point clouds or meshes are used in quality estimation. The chapter discusses the advantages and disadvantages of different methods and provides take away messages for researchers.

Original language	English
Title of host publication	Immersive Video Technologies
Publisher	Elsevier
Pages	501-552
Number of pages	52
ISBN (Electronic)	978-0-32-391755-1
ISBN (Print)	978-0-32-398623-6
DOIs	https://doi.org/10.1016/B978-0-32-391755-1.00024-9
Publication status	Published - 2023

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

datasets
mesh
objective quality metrics
perception
point cloud
subjective quality assessment
user interaction

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10.1016/B978-0-32-391755-1.00024-9

3-s2.0-B9780323917551000249-mainFinal published version, 1.97 MB

Cite this

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abstract = "Volumetric video (VV) is a novel form of video that allows recreation of real-world scenes in 3D with users consuming the content from any viewpoint they desire. This makes VV best suited for augmented reality (AR) or virtual reality (VR) applications. This freedom necessitates increased user interaction with the VV itself, which brings new challenges to its visual quality assessment. In this chapter, various aspects of VV quality assessment using subjective user studies and objective quality estimation methods are discussed. These aspects include the manner of representing 3D models, mode of interaction, display settings (e.g., whether AR or VR headsets are used), rendering parameters, and how the characteristics of point clouds or meshes are used in quality estimation. The chapter discusses the advantages and disadvantages of different methods and provides take away messages for researchers.",

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note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ",

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doi = "10.1016/B978-0-32-391755-1.00024-9",

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AU - Alexiou, Evangelos

AU - Nehmé, Yana

AU - Zerman, Emin

AU - Viola, Irene

AU - Lavoué, Guillaume

AU - Ak, Ali

AU - Smolic, Aljosa

AU - Le Callet, Patrick

AU - Cesar, Pablo

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - Volumetric video (VV) is a novel form of video that allows recreation of real-world scenes in 3D with users consuming the content from any viewpoint they desire. This makes VV best suited for augmented reality (AR) or virtual reality (VR) applications. This freedom necessitates increased user interaction with the VV itself, which brings new challenges to its visual quality assessment. In this chapter, various aspects of VV quality assessment using subjective user studies and objective quality estimation methods are discussed. These aspects include the manner of representing 3D models, mode of interaction, display settings (e.g., whether AR or VR headsets are used), rendering parameters, and how the characteristics of point clouds or meshes are used in quality estimation. The chapter discusses the advantages and disadvantages of different methods and provides take away messages for researchers.

AB - Volumetric video (VV) is a novel form of video that allows recreation of real-world scenes in 3D with users consuming the content from any viewpoint they desire. This makes VV best suited for augmented reality (AR) or virtual reality (VR) applications. This freedom necessitates increased user interaction with the VV itself, which brings new challenges to its visual quality assessment. In this chapter, various aspects of VV quality assessment using subjective user studies and objective quality estimation methods are discussed. These aspects include the manner of representing 3D models, mode of interaction, display settings (e.g., whether AR or VR headsets are used), rendering parameters, and how the characteristics of point clouds or meshes are used in quality estimation. The chapter discusses the advantages and disadvantages of different methods and provides take away messages for researchers.

KW - datasets

KW - mesh

KW - objective quality metrics

KW - perception

KW - point cloud

KW - subjective quality assessment

KW - user interaction

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BT - Immersive Video Technologies

PB - Elsevier

ER -

Subjective and objective quality assessment for volumetric video

Abstract

Bibliographical note

Keywords

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