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

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

5 Citations (Scopus)
69 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 languageEnglish
Title of host publicationImmersive Video Technologies
PublisherElsevier
Pages501-552
Number of pages52
ISBN (Electronic)978-0-32-391755-1
ISBN (Print)978-0-32-398623-6
DOIs
Publication statusPublished - 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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