The Ledger
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Dextro was the first to offer automated video analysis as a service
“We were the first company to figure out how to get this level of analysis of what's happening in videos as a service.”
Frame-level tags lack the high-level semantic context required for video discovery
“Video or frame-level tags, the sort that you might see on, that I've put on the screen right now, didn't actually solve their problem. Because that was, it was too low level in like a, in a, in not in terms of a granularity sense, but in terms of how much addi…”
Dextro analyzes video strictly through computer vision, not metadata
“This is all just done with computer vision. We don't use any of the metadata whatsoever to identify what's actually happening.”
Dextro built architecture to map custom customer taxonomies without retraining models
“Our core machine learning system needed to be able to easily adapt and generalize to customer and partner taxonomies without restarting training and data collection and everything like that from scratch every single time. And so how we solved that problem was …”
Dextro created a real-time aggregator for all live public Periscope streams
“Tomorrow we're just ironing out that one issue, but you guys should all check out stream.dextro.co, which aggregates every live public Periscope stream, and you can kind of browse based on what you think is most interesting at any given moment to discover, lik…”
Dextro uses a salience graph to measure video concept prominence
“So what we do is we provide what's, what's also a salience graph, which is a discounted score of how important every concept Or how prominent a particular category is over the video as a whole. So it's not a measure of our confidence, but of actually how impor…”