Interra Systems Preps For Busy 2020 NAB Show

AI and machine learning capabilities have increased the power and scope of proactive QC and live monitoring solutions to include streamlined captioning creation, management and delivery.

Interra Systems recently announced its 2020 NAB Show plans. They include the debut of several major updates for its flagship BATON enterprise-class automated file-based QC solution for linear and streaming workflows. The updates include enhancements in IMF and HDR checks, usability, as well as new additions to audio language detection. The company will also show its latest innovations in media technology solutions to identify lip sync issues, align speech to text captions, and classify content, as well as the all-new subscription-based cloud QC.

Interra Systems will launch BATON LipSync, a new automated tool for lip sync detection and verification. The solution leverages machine learning technology and deep neural networks to automatically detect audio and video sync errors.

BATON Captions will make its NAB debut. It leverages cutting-edge machine learning (ML) and automatic speech recognition technology to simplify and reduce the cost to create, manage, and deliver captions for traditional TV and video streaming.

BATON Captions reports on any drop or inaccuracy in captions and audio, as well as compliance issues, providing broadcasters with automated options for correcting alignment, text, and spelling mistakes. Captions can be checked against actual audio essence, corrected, and exported to any industry-supported caption format. Through auto time stamping with state-of-the-art speech recognition technology, BATON Captions adds accurate time to dialogs in scripts, resulting in faster, more efficient caption generation.

Web-services-based API support allows BATON Captions to be easily integrated with third-party tools. Broadcasters can deploy the solution on-premises or in the cloud and it supports a host of subtitle and closed caption formats for content globalization.

A new updated version of the company's BATON Media Player will be on display. It includes new features such as support to overlay timecode information on video, performance enhancements in J2K playback, the option to export a video clip without re-encoding, improvements in real-time playback, support for playback of growing Material eXchange Format (MXF) files, and more.

Interra Systems will also show WINNOW, a comprehensive solution for content classification and identification, allowing video service providers to efficiently prepare content for different target markets and geographies. Powered by AI/ML technologies, WINNOW detects and tags content for violence, strong language, alcohol, guns, and more based on user-defined rules.

Monitoring Suite Demos

The company will also demonstrate its tightly integrated OTT solution featuring BATON QC and the ORION monitoring suite. The focus is to show broadcasters and service providers the best tools for managing advanced QC, ABR, and HTTP checks for large volumes of VOD, live, and linear monitoring of each stream, from content creation to delivery.

ORION is a real-time, IP-based content monitoring solution providing video analysis of linear channels. It perfectly complements the ORION-OTT for VOD and live-event streaming. ORION looks at all aspects of video streams including closed captions, ad-insertion verification, and quality of service (QoS) and quality of experience (QoE) data. The rich feature set offers support for the latest standards in closed captions, ad insertion monitoring, ABR manifest file validation, audio-video checks, real-time alerts, and much more.

The newly revamped ORION Central Manager (OCM) for end-to-end monitoring of channels across the delivery infrastructure, will also be shown. It provides an aggregated view of linear and OTT services based on monitoring data collected by ORION and ORION-OTT. OCM improves digital NOCs efficiently to deliver content with the highest QoE and meet viewers' expectations.

The VEGA Media Analyzer will also be on display. It is a powerful analysis platform for standards compliance, debugging, and in-depth analysis of encoded streams. VMA's frame-by-frame analysis of problematic or erroneous streams enables encoder developers and video service providers to identify and fix errors efficiently. Recent updates to the VEGA family on display will include support for the AV1 format, JPEG format, and ABR streams.

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