March 26, 2019

Introducing Microsoft’s AI-Powered Video Categorisation Tool

From Computer Business Review (CBR):

Enterprises with a large media archive often struggle with the challenge of transforming existing video archives into business value, particularly given the challenges of content discovery at scale: content categorisation is often flawed and manual tagging is expensive, error-prone and scales badly.

Microsoft thinks its upgraded product is the solution – and it’s a poster child for AI.

“Multi-modal topic inferencing” in Microsoft’s Video Indexer tool takes a tripartite approach to automating media categorisation: transcription (spoken words), OCR content (visual text), and facial recognition; operating under an innovative supervised deep learning-based model. It can even recognise moods

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Oron Nir, a senior data scientist in Microsoft’s Media AI division said: “[This tool] orchestrates multiple AI models in a building block fashion to infer higher level concepts using robust and independent input signals from different sources.”

The technique is a step-change from Video Indexer’s previous keyword extraction model, which pulls out and categories only according to explicitly mentioned terms.

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Gary Price About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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