Voronoi-based objective quality metrics for omnidirectional video

Croci, Simone and Ozcinar, Cagri and Zerman, Emin and Cabrera Quesada, Julian and Smolic, Aljosa (2019). Voronoi-based objective quality metrics for omnidirectional video. In: "2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)", 05/06/2019 - 07/06/2019, Berlin, Alemania. ISBN 978-1-5386-8212-8. pp. 1-6. https://doi.org/10.1109/QoMEX.2019.8743345.

Description

Title: Voronoi-based objective quality metrics for omnidirectional video
Author/s:
  • Croci, Simone
  • Ozcinar, Cagri
  • Zerman, Emin
  • Cabrera Quesada, Julian
  • Smolic, Aljosa
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)
Event Dates: 05/06/2019 - 07/06/2019
Event Location: Berlin, Alemania
Title of Book: Proceedings of 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)
Título de Revista/Publicación: 2019 ELEVENTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX)
Date: June 2019
ISBN: 978-1-5386-8212-8
ISSN: 2372-7179
Subjects:
Freetext Keywords: Omnidirectional video; quality assessment; scaling distortion; compression distortion; Voronoi diagram
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Omnidirectional video (ODV) represents one of the latest and most promising trends in immersive media. The success of ODV depends on the ability to deliver high-quality ODV to the viewers. For this reason, new methods are needed to measure ODV quality that takes into account the interactive look around nature and the spherical representation of ODV. In this paper, we study full-reference objective quality metrics for ODV based on typical encoding distortions in adaptive streaming systems, namely, scaling and compression. The contribution of this paper is three-fold. First, we propose new objective metrics that take into account the unique aspects of ODV. The proposed metrics are based on the subdivision of a given ODV into multiple patches using the spherical Voronoi diagram. Second, we introduce a new dataset of 75 impaired ODVs with different resolutions and compression levels, together with the subjective quality scores gathered during an experiment with 21 participants. Third, we evaluate the proposed Voronoi-based objective metrics using our dataset. The evaluation of the proposed objective metrics and the comparison with existing metrics show that the proposed metrics achieve a better correlation with the subjective scores. The ODV dataset together with the subjective quality scores and the code of the proposed quality metrics are available with this paper.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2016-75981IVMEUnspecifiedUnspecified

More information

Item ID: 64249
DC Identifier: http://oa.upm.es/64249/
OAI Identifier: oai:oa.upm.es:64249
DOI: 10.1109/QoMEX.2019.8743345
Official URL: https://ieeexplore.ieee.org/document/8743345
Deposited by: Memoria Investigacion
Deposited on: 14 Dec 2020 16:13
Last Modified: 14 Dec 2020 16:13
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