VMAF Support in VMA: Objective Video Quality Analysis for the Modern Media Landscape

In today’s streaming landscape, ensuring exceptional video quality is more critical than ever. Media companies face increasing pressure to balance compression efficiency, viewer expectations, and seamless delivery. Traditional quality metrics fall short in capturing how viewers truly perceive video content, leading to missed opportunities for optimization. In this video, we are excited to show the integration of Netflix VMAF (Video Multi-method Assessment Fusion) algorithm into VEGA Media Analyzer, our advanced video analysis platform that supports all major audio and video formats.

As a pioneer in video analysis, Interra Systems' VMA provides in-depth quality analysis for a wide range of video formats, ensuring your content meets the highest standards.

Topics we'll cover:

• Why subjective testing alone is no longer sufficient, and how objective metrics like VMAF help

• A quick overview of VMA's capabilities and how it supports various video quality metrics

• Understand how VMAF works and why it's a leading metric for perceptual video quality

• VMAF in action - See real-world examples of VMAF scoring for H.264, HEVC, and AV1 streams within VMA