Looking at the signage across an IBC or NAB exhibit floor will confirm the second most likely term mentioned may be artificial intelligence, AI. After IP, vendors are leverging AI into as many products as possible.
As business managers demand more output, efficiency and fewer errors from both production teams and broadcast equipment, many engineering mangers turn first to AI for help. One of the easier tasks to hand off to AI is metadata. Learn how to leverage AI for metadata and more in the article, “EBU Production Seminar Cuts Through Hype of AI.”
Test equipment tends to be the last item added to a purchase order and first item dropped from that same purchase order. Today, such budget-balancing steps may open the door to unhappy viewers and smaller audiences.
IP production and transmission systems require careful monitoring to ensure top performance. Even the on-staff Golden Eyes, cannot predict when a receiver buffer is about to overfill or data bits are starting to be dropped by the microwave link.
With today’s wide number of content providers, customers will simply tune away from inferior delivered or produced video. One way to help ensure a high Quality of Experience (QoE) for your viewers is with proper T&M equipment and automated monitoring systems. Learn more about these technologies in the tutorial, “Test & Measurement in an IP World.”
Matthieu Parmentier, of France Télévision, says broadcasters are moving into a world where AI will be a key driver in content production.
AI has been oversold recently in many industry sectors but the underlying idea of finding intelligent solutions to problems and employing automation to reduce costs as well as extend human competence make absolute sense. The key lies in harnessing computational power for executing more complex algorithms involving feedback and adaptation to tasks with scope for automating increasingly advanced realms of expertise.
The generation of metadata in its various forms is one fertile area for AI in production workflows. The tool yields great potential benefits across the whole video lifecycle, especially when tasks are labor intensive or constrained by lack of resources or time.
For example, AI is being applied in cognitive video analysis for indexing content from blockbuster movies to documentaries, enabling more sophisticated and subtle application of search, navigation and recommendation. Microsoft, IBM and others now demonstrate intelligent video analysis in real time so that automatically generated metadata can potentially even be applied to live content.
How can AI benefit your workflow? Read the article, “EBU Production Seminar Cuts Through Hype of AI,”
Tektronix PRISM media monitoring and analysis platform (R) and SENTRY video quality monitoring solution.
Just like video equipment, test and measurement is evolving from hardware to software, with more and more intelligence incorporated into the product. The engineer sitting at a bench has been largely replaced with automated quality control (QC) to meet the needs and workload of multi-platform delivery. The engineer now performs more of an investigative and trouble-shooting role.
Test and measurement for broadcast equipment falls into two areas. One is for manufacturers, on the test-bench or in research and development. The other is for broadcast engineers, who are installing equipment, or for ongoing maintenance and system quality assurance. Although some of the needs may crossover, in general the requirements of the broadcaster are simpler than the R&D engineer. Learn more about the latest T&M equipment you may find useful in your facility in the article, “Test & Measurement in an IP World.”
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