FEED Issue 04

22 TECH FEED Content Management

UNLOCKS

Words by Adrian Pennington

THE PAST o longer the preserve of media and entertainment, video is a universal communication tool spanning sectors from education to architecture to health. Within the clipping. “As a result, AIs can be engaged from any distance without additional investments in satellite uplinks, dedicated fibre or on-site equipment or manpower.” AI/ML tools are being integrated into AI video technology is going to rewrite the rules for acquiring, storing – and even creating – content

However, the rise of AI tools is undercut by the lack of a standard for describing, searching and finding assets in the first place. Each AI provider has different API’s and access mechanisms for the analyses they perform. Each media asset management provider will offer a different way of integrating an AI and each corporation – whether museum, sports league or TV producer - will have a bespoke means of describing their own metadata. “For many years the MAM industry has been starved of metadata, including the ability to harvest technical metadata from media, add intelligence from file and folder naming, and offer manual tagging,” says Dave Clack, CEO of Square Box Systems. “Now with AI tools, there is a huge volume of metadata becoming available, often of low quality. Strong MAM players can manage this metadata explosion by curating metadata quality and providing strong user experience to display it well and unlock its potential.” A global standard for metadata is probably unfeasible, given the granularity required for each application [see page 29]. The more proscriptive a standard, the more restrictive it becomes. However, a flexible exchange format can bring metadata from an AI into a MAM in a useable way. Cantemo’s cloud hub for managing

marketing sector alone, 43% of marketers say they would create more video content if it weren’t for barriers like time, resources or budget. That’s where artificial intelligence and machine learning could yield dividends, provided it’s accessible to everyone managing, working and collaborating on video content. “While AI is now table stakes, fast transfer technologies [like IBM Aspera] are able to move any size or type of media content at maximum speed to enable near real-time media asset management workflows,” says David Kulczar, manager of IBMWatson Media, which provides AI-powered video services, including automatic closed captioning and highlight

editing and production asset management systems to create more efficient workflows, and curate and extract vast quantities of metadata. Recently released media asset management software includes a sub- $4000 appliance from axle ai that integrates face and object recognition and low- res proxy collaboration, and includes a panel for Premiere Pro CC. Prime Focus Technologies has inked a partnership with metadata specialist GreyMeta. Storage vendor Elements united with Veritone for automatic speech-to-text transcriptions. And Dalet added a Content Discovery module to its asset management software for journalists in the newsroom.

EACH AI PROVIDER HAS DIFFERENT API’S AND ACCESS MECHANISMS FOR THE ANALYSES THEY PERFORM

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