Interra Systems has announced the integration of the Netflix VMAF algorithm into VEGA Media Analyzer.
The development aims to meet the growing demand for accurate quality control (QC) across streaming environments, enabling media companies, broadcasters and streaming services to increase their accuracy and efficiency in assessing video quality.
Netflix’s Video Multi-method Assessment Fusion (VMAF) provides users with reliable measurements of video quality as experienced by viewers, said the company, providing scoring of video quality as perceived by the human eye. Informing encoding and bitrate decisions, VMAF scores drive efficiency and high quality-to-bitrate ratios.
Its integration with VEGA enables enhanced perceptual accuracy and allows streaming performance to be optimised. Quality assessments are automated, delivering faster and more consistent results across a broad content range.
Anupama Anantharaman, vice president of product management at Interra Systems, said, “Today, media companies face the critical challenge of delivering high-quality video across a range of resolutions to meet diverse OTT streaming demands. By integrating VMAF into VEGA Media Analyzer, we enable encoder and transcoder developers to assess video quality more efficiently. This integration provides actionable insights for encoding decisions that enhance viewer experience while maintaining operational efficiency.
“For streaming companies, delivering high-quality video is paramount. With this integration, they now have access to industry-standard quality benchmarks, allowing video engineers to optimise compression, reduce artifacts, and provide a viewing experience that meets the highest quality standards.”
