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Video Multimethod Assessment Fusion (VMAF) on 360VR contents
IEEE Transactions on Consumer Electronics ( IF 4.3 ) Pub Date : 2020-02-01 , DOI: 10.1109/tce.2019.2957987
Marta Orduna , Cesar Diaz , Lara Munoz , Pablo Perez , Ignacio Benito , Narciso Garcia

This paper describes the process 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 commercial head-mounted displays (HMDs). In this article, we prove that this metric can be successfully used to measure the quality of 360VR sequences without any specific training or adjustments, which evidences its usefulness and flexibility, and entails significant time and resource savings. Thus, it can be straightforwardly included in consumer appliances, namely content generators, servers and clients, as part of the embedded software or hardware as a reliable means to monitor the quality of the 360VR content consumed by users.

中文翻译:

360VR 内容的视频多方法评估融合 (VMAF)

本文描述了为验证最强大和最有影响力的视频质量指标之一视频多方法评估融合 (VMAF) 对 360VR 内容的应用而执行的过程。VMAF 是一个完整的参考指标,最初设计用于处理传统的 2D 内容。因此,首先,不能假设它与使用商用头戴式显示器 (HMD) 可视化全方位内容的场景的特殊性兼容。在本文中,我们证明了该指标可以成功地用于衡量 360VR 序列的质量,而无需任何特定的训练或调整,这证明了它的实用性和灵活性,并且可以节省大量时间和资源。因此,它可以直接包含在消费设备中,即内容生成器、服务器和客户端,
更新日期:2020-02-01
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