Interra integrated Netflix's Video Multi-method Assessment Fusion algorithm into VEGA Media Analyzer to help broadcasters and streaming services upgrade their video quality assessment.
Interra Systems has integrated Netflix's Video Multi-method Assessment Fusion (VMAF) algorithm into its VEGA Media Analyzer software. This integration was made in the interests of media companies, broadcasters and streaming services looking for more precision and efficiency in how they assess video quality, and who want to achieve perceptually accurate quality control (QC) across competitive streaming environments.
Developed and updated by Netflix since 2016, VMAF is now considered a benchmark for perceptual video quality assessment, used to reliably measure video quality as experienced by viewers. Combining this with VEGA’s in-depth video analysis serves as a platform for evaluating and optimizing the quality of video used in streaming experiences.
"Adding VMAF quality checks incorporates a valuable component into VEGA’s ability to ensure that encoded streams are standards-compliant and interoperable with industry-standard players," said Jan Ozer, director of the Streaming Learning Center for streaming media producers. “VMAF has demonstrated a high correlation with human Mean Opinion Score (MOS) comparisons, making it an accurate metric for assessing subjective quality.”
Interra says adding VMAF support to VEGA Media Analyzer has resulted in more efficient quality control and optimized streaming performance, and enhanced its perceptual accuracy. VMAF scoring captures video quality as perceived by the human eye, ensuring that quality assessments are aligned with viewers’ expectations. VMAF predicts subjective video quality by measuring the existing image quality with other features. For example, it measures loss of information fidelity at different scales, distractions caused by loss of detail, and loss of brightness over time.
This integration also automates quality assessments, which gives faster, more consistent results across a wide range of content. VMAF scores guide encoding and bitrate decisions, helping achieve the best quality-to-bitrate ratio and improving overall streaming efficiency.
"Today, media companies face the critical challenge of delivering high-quality video across a range of resolutions to meet diverse OTT streaming demands," said Anupama Anantharaman, vice president of product management at Interra Systems. "By integrating VMAF into VEGA Media Analyzer, we enable encoder and transcoder developers to assess video quality more efficiently. This integration gives actionable insights for encoding decisions that enhance the 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 optimize compression, reduce artefacts and produce a viewing experience that meets the highest quality standards."
This integration allows video quality engineers and media professionals to make data-driven, perceptually accurate quality decisions that are meaningful to audiences. www.interrasystems.com
