# Methodology for accurately assessing the quality perceived by users on   360VR contents

**Authors:** Lara Mu\~noz, C\'esar D\'iaz, Marta Orduna, Jos\'e Ignacio Ronda,, Pablo P\'erez, Ignacio Benito, Narciso Garc\'ia

arXiv: 1905.03508 · 2020-05-21

## TL;DR

This paper introduces a flexible methodology for accurately assessing user-perceived quality in 360VR content, considering viewport-specific quality over time for fairer evaluation of encoding and transmission strategies.

## Contribution

It presents a novel, geometry-based assessment method that can be used both offline and online to evaluate viewport quality in 360VR, enabling fairer comparisons.

## Key findings

- Provides a robust, geometry-based quality assessment framework.
- Supports both offline and online evaluation modes.
- Facilitates fair comparison of 360VR encoding strategies.

## Abstract

To properly evaluate the performance of 360VR-specific encoding and transmission schemes, and particularly of the solutions based on viewport adaptation, it is necessary to consider not only the bandwidth saved, but also the quality of the portion of the scene actually seen by users over time. With this motivation, we propose a robust, yet flexible methodology for accurately assessing the quality within the viewport along the visualization session. This procedure is based on a complete analysis of the geometric relations involved. Moreover, the designed methodology allows for both offline and online usage thanks to the use of different approximations. In this way, our methodology can be used regardless of the approach to properly evaluate the implemented strategy, obtaining a fairer comparison between them.

## Full text

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## Figures

43 figures with captions in the complete paper: https://tomesphere.com/paper/1905.03508/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/1905.03508/full.md

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Source: https://tomesphere.com/paper/1905.03508