From the course: Microsoft Azure AI Engineer Associate (AI-102) Cert Prep by Microsoft Press
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Extract actionable insights from video content - Azure Tutorial
From the course: Microsoft Azure AI Engineer Associate (AI-102) Cert Prep by Microsoft Press
Extract actionable insights from video content
- [Instructor] The types of extracted insights or transcripts, what was said, named entities, think of these like labels, but also very useful people, places, things, organizations, topics, keywords, emotions, sentiment, visual brands and logos. Now if you're thinking, do we have a custom video indexer that can do custom detection? 'Cause remember with Azure AI vision, we have computer vision, which is off the shelf and custom vision, which allows us to do some training. Well, let's just see. Let's just see what's going on, okay? I'm basically just putting all these on the slide at once for your ready reference. I don't want to read bullet points. The example here for AI 102 relation would be Tailspin. Again, using video indexer to flag competitor mentions in YouTube unboxing videos, right? I actually had mentioned that a moment ago. This is a sample response from Azure AI video indexer. After uploading and indexing a video, you get structured JSON with extracted insights like faces…
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