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Vendors are emphatic that content metadata holds myriad value for broadcasters, increasing video’s findability and searchability, tracking rights and protecting against deepfakes and using AI to make the entire process easier. Above: An example of using machine learning to identify objects in video with correlating time markers. In this way, users can search across video with increasingly sophisticated queries such as “2 Persons + 7 Cars” to show all matches across an entire content library.

Julian fernandez camponLacie romanoRussell vijayanStephen tallamyMatt gardnerEd hauberRaoul cospenBen howellDebra slaterSoftware architect james cainFonn groupDalet pyramidThree mediaDigital nirvanaValley chief software architect james cainVisual data