# Video Multimethod Assessment Fusion (VMAF) on 360VR contents

## TL;DR

This study validates that the VMAF video quality metric, originally designed for 2D content, can be effectively applied to 360VR videos viewed on HMDs without modifications.

## Contribution

The paper demonstrates through experiments that VMAF is applicable to 360VR content without requiring retraining or adjustments.

## Key findings

- VMAF correlates well with user perception of 360VR quality.
- No specific training needed for VMAF to work on 360VR content.
- Validation through subjective experiments confirms VMAF's applicability.

## Abstract

This paper describes the subjective experiments and subsequent analysis carried out to validate the application of one of the most robust and influential video quality metrics, Video Multimethod Assessment Fusion (VMAF), to 360VR contents. VMAF is a full reference metric initially designed to work with traditional 2D contents. Hence, at first, it cannot be assumed to be compatible with the particularities of the scenario where omnidirectional content is visualized using a Head-Mounted Display (HMD). Therefore, through a complete set of tests, we prove that this metric can be successfully used without any specific training or adjustments to obtain the quality of 360VR sequences actually perceived by users.