AKRON, Ohio-Religious broadcaster TCT Television will go live with a new hybrid master control (MC) system in mid-August that leverages a unique combination of artificial intelligence (AI) algorithms and MC and studio control automation to drive efficiency, save money and improve live program content.
I've replaced a master control system that I literally put in in 2005, says Bruce Hart, vice president of engineering at TCT. I've been maintaining it now for 15 years, looking for the right option to transition to and move forward.
Hart found his replacement in the form of master control automation, Media Asset Management (MAM) and studio control automation from Aveco and the MediaMind AI engine from TVU Networks. Besides automating master control for TCT's three network channels originating in Akron, Ohio, and 22 O&Os around the country, the hybrid MC-AI system proved to be the answer for other important challenges facing the broadcaster.
I needed to solve three problems: closed captioning, populating a database with descriptions of our programming and archiving, says Hart.
ARTIFICIAL INTELLIGENCETCT is using four AI algorithms, including automated transcription, facial recognition, object recognition and lower-third recognition, as part of its TVU MediaMind deployment.
Not only does the transcription algorithm automatically generate accurate closed captions-thereby saving TCT on its captioning expense-but it also contributes to building a database of metadata along with the other three AI algorithms that together makes it possible for the broadcaster to derive other important benefits from its Aveco deployment, says Hart.
Integrated with the broadcaster's 32 Aveco MAM seats, the TVU MediaMind AI algorithms are currently identifying unique characteristics that describe each frame of TCT's 70,000 hours of programming. Currently stored on videotape, optical discs, individual hard drives and a RAID array, the archival content is bound for 925TB of storage and backup on sleeper disks from Alto under the orchestration of Aveco automation.
Unique identifiers, such as the facial features of people in shots, the shapes of objects in scenes, CG text burned into lower-thirds and speech translated to text, will one day make it possible to find desired footage from the entire archive in an instant, says Hart.
While that massive undertaking is going on in the background, the same set of algorithms is being used to create metadata for some 20 hours per week of live TCT programming, he adds.
All of that footage will be available via a great portal for online [distribution] as well as for live program production, says Jim O'Brien, president of Aveco.
When used for live production, the metadata will enable a show producer to search a topic being discussed on air, retrieve appropriate archival clips and choose the best one to enhance the live show-all in a matter of seconds, says Hart.
The TVU MediaMind-Aveco MAM hybrid also will put an end to the drudgery of manually completing quarterly FCC filings for TCT's stations.
That report is a very detailed thing, and it takes a full-time person to track down all the data the FCC requires for all of our 22 stations, says Hart. Now we can generate reports for each station automatically from the program data we are harvesting.
While a significant time and money saver, today's TVU MediaMind as currently configured is just a start. As new AI algorithms come along that prove to be useful to TCT, they can be integrated into the system to enhance metadata capture, adds Hart.
With TVU's AI interface module, we can use any commercially available artificial intelligence in the marketplace in conjunction with TVU's own AI engine to ensure we are providing the maximum benefit, says Kyle Luther, vice president of sales at TVU Networks.
MC AUTOMATIONTCT originally deployed a central-casting automation system to drive its hub-and-spoke model 15 years ago. With each passing month, it became ever more apparent the system, which relied on aging video servers running Microsoft Windows XP, was creaking ever closer to its demise. System reboots became a weekly occurrence, and reliability was sporadic, says Hart.
At the 2019 NAB Show in Las Vegas, Hart partnered with Ocon Solutions. Together he and Jim Ocon, president of the technology consultancy, identified the goal of relaunching TCT master control as an AI-driven platform-something both believed would be a first for the television industry.
Since then, Ocon has formed the OConsortium, an alliance of tech vendors, consultants and broadcasters working on next-generation media technology and solutions. Members participating in the TCT deployment include Aveco, TVU Networks, Ocon Solutions, Brainstorm, DTV Innovations, Alto, Titan TV, Teradek and Media Transport Solutions.
Planning for the hybrid master control system began in earnest two months later as TCT separately began preparations for a major renovation of its network headquarters in Akron, says Hart.
The 26,000-square-foot facility has three studios, each equipped for productions enhanced by augmented reality (AR). One, a 40x30-foot studio, is outfitted with a Brainstorm InfinitySet for productions done on a virtual set.
The facility's control room is equipped with a 4K-capable Grass Valley Kula production switcher that TCT currently uses for 1080p productions. Signal routing and transport is a mix of baseband and IP, says Hart.
Aveco's centralized master control is at the heart of the new deployment. Responsible for network origination, control of each TCT station and two satellite dishes, the system is a night-and-day improvement for Hart.
TCT Television VP of engineering Bruce Hart verifies the changeover switch between the broadcaster's redundant Aveco master control automation systems
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AKRON, Ohio-Religious broadcaster TCT Television will go live with a new hybrid master control (MC) system in mid-August that leverages a unique combination of artificial intelligence (AI) algorithms and MC and studio control automation to drive efficiency, save money and improve live program content.
