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No-reference depth map quality evaluation model based on depth map edge confidence measurement in immersive video applications

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posted on 20.09.2019, 08:41 by Safak DoganSafak Dogan, Nasser Haddad, Erhan EkmekciogluErhan Ekmekcioglu, Ahmet KondozAhmet Kondoz
When it comes to evaluating perceptual quality of digital media for overall quality of experience assessment in immersive video applications, typically two main approaches stand out: Subjective and objective quality evaluation. On one hand, subjective quality evaluation offers the best representation of perceived video quality assessed by the real viewers. On the other hand, it consumes a significant amount of time and effort, due to the involvement of real users with lengthy and laborious assessment procedures. Thus, it is essential that an objective quality evaluation model is developed. The speed-up advantage offered by an objective quality evaluation model, which can predict the quality of rendered virtual views based on the depth maps used in the rendering process, allows for faster quality assessments for immersive video applications. This is particularly important given the lack of a suitable reference or ground truth for comparing the available depth maps, especially when live content services are offered in those applications. This paper presents a no-reference depth map quality evaluation model based on a proposed depth map edge confidence measurement technique to assist with accurately estimating the quality of rendered (virtual) views in immersive multi-view video content. The model is applied for depth image-based rendering in multi-view video format, providing comparable evaluation results to those existing in the literature, and often exceeding their performance.

History

School

  • Loughborough University London

Published in

Future Internet

Volume

11

Issue

10

Publisher

MDPI AG

Version

VoR (Version of Record)

Rights holder

© the Authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

16/09/2019

Publication date

2019-09-20

Copyright date

2019

Notes

This article belongs to the Special Issue Multimedia Quality of Experience (QoE): Current Status and Future Direction

ISSN

1999-5903

Language

en

Depositor

Dr Safak Dogan

Article number

204

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