CUPERTINO, Calif.—Interra Systems has integrated Netflix's Video Multi-Method Assessment Fusion (VMAF) algorithm—a widely-trusted standard for video quality assessment—into its industry-leading VEGA Media Analyzer solution.

This integration makes it easier for media companies, broadcasters, and streaming services to assess video quality with increased precision and efficiency, meeting the growing demand for perceptually accurate quality control across high-stakes streaming environments.

Developed by Netflix, VMAF has become a benchmark for perceptual video-quality assessment, offering reliable measurements of video quality as experienced by viewers. Combining this with VEGA’s in-depth video analysis provides users with a powerful platform for evaluating and optimizing video quality, ensuring seamless and engaging streaming experiences for audiences worldwide.

“Today, media companies face the critical challenge of delivering high-quality video across a range of resolutions to meet diverse OTT streaming demands,” Anupama Anantharaman, VP of product management at Interra Systems, said. “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.”

Anantharaman added: “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 artifacts, and provide a viewing experience that meets the highest quality standards.”

More specifically, Interra said adding VMAF support to VEGA Media Analyzer offers significant benefits for media companies, broadcasters and service providers, including enhanced perceptual accuracy, efficient quality control and optimized streaming performance. VMAF scoring captures video quality as perceived by the human eye, ensuring assessments are viewer-centric. This integration also automates quality assessments, enabling faster and 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.

More information about Interra Systems solutions can be found at www.interrasystems.com.

NEW YORK—With the ability to deliver multiscreen experiences critical to the market, Interra Systems will put its focus at the 2019 NAB Show New York on how it delivers that experience with its range of quality control, monitoring, analysis and classification products.

A couple of the products on display will be the Baton ABR QC and Orion-OTT monitoring systems. Baton provides comprehensive QC checks, including ABR-specific checks for large volumes of VOD files encoded at different bit rates.

With Orion-OTT, content providers can proactively perform HTTP checks and monitor the quality of each stream. Specifically at NAB Show New York, Interra will demonstrate Orion-OTT for VOD and live event streaming, as well as Orion for real-time content monitoring and video analysis of linear channels. Features of the Orion-OTT system include ABR manifest file validation, audio-video checks and real-time alerts. There is also support for the latest standards in closed captions and ad insertion.

The Orion Central Manager platform set to be at the booth provides an aggregated view of linear and OTT services based on monitoring data collected by Orion and Orion-OTT. Alerts and QoE information for each video appears on one screen. New features include an updated architecture for near-real-time updates, real-time status of all channels across the network, channel performance trends and executive reports.

Interra has also made updates to its Baton platform, including a new Baton automated tool for lip sync detection and will show verification of audio with captions, photosensitive epilepsy testing and correction. Baton also supports the VAST format, HDR quality checks and setup in Amazon cloud and on-premises, as well as improved audio language and caption detection capabilities.

The Baton system can also be integrated with Winnow, Interra’s content classification and identification platform. Powered by AI/machine learning technologies, Winnow detects and tags content for violence, strong language, alcohol, guns and more based on user-defined rules.

Lastly, Interra will have its Vega media analyzer, a tool for standards compliance, debugging and in-depth analysis of encoded streams. New updates include support for the AV1 format with buffer analysis, JPEG format and OGG streams.

All of this will be available at Interra Systems’ booth, N839, during the 2019 NAB Show New York, which takes place from Oct. 16-17 at the Javits Convention Center.