Leveraged AI and ML streamlines workflows.
New solution provides access to a collection of high-performance AI capabilities in the cloud.
Digital Nirvana has announced the launch of MediaServicesIQ, a comprehensive suite of cloud-based microservices that leverage advanced AI and machine-learning (ML) capabilities to streamline media production, postproduction, and distribution workflows. MediaServicesIQ provides a comprehensive, one-stop portal by which users can access Digital Nirvana’s high-performance, AI-powered technology solutions: speech-to-text, content classification, closed caption generation and conformance, and a video intelligence engine that can detect ads, logos, objects, and faces.
“The promise of AI and ML is being touted throughout the media industry, and these technologies do offer powerful potential for new efficiencies, time savings, and expanded potential for monetizing valuable content. But AI and ML tools need to be accessible and easy to apply in order to see widespread adoption in the media industry,” said Russell Wise, senior vice president at Digital Nirvana. “That’s exactly what we’ve done with MediaServicesIQ. We’ve created a set of core AI capabilities and made them available in a layer that can be easily accessed by newsrooms, live sports and entertainment productions, post houses, and other media operations to expedite critical processes, reduce mundane tasks, and free creative personnel to do their jobs.”
Building upon internal custom or industry-standard production and monitoring workflow platforms, MediaServicesIQ provides access to a collection of high-performance AI capabilities in the cloud that encompass speech-to-text, video intelligence, and generation of metadata that can be orchestrated to provide intelligence and actionable insights. These capabilities enable intelligent and immediate logging and feedback of content quality and compliance, better positioning broadcasters to meet regulatory, compliance, and licensing requirements for closed captioning, decency, and advertising monitoring.
MediaServicesIQ provides an easy-to-access portal to these services through custom-developed workflows or through seamless access to Digital Nirvana’s award-winning applications including MonitorIQ 7.0, MetadatorIQ, and Trance.
An integration of the AI microservices with Digital Nirvana’s MonitorIQ 7.0 compliance logging system enables powerful insights and video intelligence applications.
MediaServicesIQ integrates with Digital Nirvana’s MetadatorIQ to provide automated metadata creation in preproduction, production, and live content workflows. Optimized for Avid MediaCentral | Production Management assets, MetadatorIQ applies advanced AI- and ML-based content analysis for automatic generation of better-structured, more detailed, and more accurate metadata. Media operations benefit in two key ways — first, with tremendous time savings in up-front metadata generation, and then by giving producers the ability to zero in on the assets they need right away.
For automatic closed caption/subtitle generation and closed-caption quality conformance, MediaServicesIQ provides seamless access to Digital Nirvana’s Trance 3.0 toolset. Trance unites cutting-edge STT technology and other AI-driven processes with cloud-based architecture to bring metadata generation and closed captioning into existing operations, enabling media companies to radically reduce the time and cost of delivering accurate, compliant content for publishing worldwide. They also can enrich and classify content, enabling more effective repurposing of media libraries and facilitating more intelligent targeting of advertising spots.
You might also like...
Piracy is an ancient issue. In the media industry, piracy is the unlicensed use of content that is protected by copyright. While there are many benefits to OTT video, a downside is that its “over the top” nature where content tra…
There are two approaches to digital filtering. One is to implement the impulse response directly. The other is to use recursion. Here we look at the direct implementation.
In the last article in this series, we looked at how PTP V2.1 has improved security. In this part, we investigate how robustness and monitoring is further improved to provide resilient and accurate network timing.
NAB have announced the show scheduled for October 2021 has been cancelled.
Timing accuracy has been a fundamental component of broadcast infrastructures for as long as we’ve transmitted television pictures and sound. The time invariant nature of frame sampling still requires us to provide timing references with sub microsecond accuracy.