Subjective and Objective Quality Assessment for Volumetric Video
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Book ChapterDate:
2022Access:
openAccessCitation:
Evangelos Alexiou, Yana Nehmé, Emin Zerman, Irene Viola, Guillaume Lavoué & Ali Ak. 'Subjective and Objective Quality Assessment for Volumetric Video', Immersive Video Technologies, Giuseppe Valenzise, Martin Alain, Emin Zerman & Cagri Ozcinar Ed. Elsevier, 2022Abstract:
Volumetric video (VV) is a novel formof 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
way or 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.
Author: Zermin, Emin; Smolic, Aljosa
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ElsevierType of material:
Book ChapterCollections
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Full text availableKeywords:
Subjective quality assessment, Objective quality metrics, Point cloud, Mesh, Datasets, User interaction, PerceptionISBN:
97803239862369780323917551
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