Video Multimethod Assessment Fusion (VMAF) on 360VR contents
This work addresses video quality assessment for 360VR content users, but it is incremental as it applies an existing metric to a new domain.
The paper tackled the problem of validating the Video Multimethod Assessment Fusion (VMAF) metric for 360VR content, proving it can be successfully used without adjustments to measure perceived quality.
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.