Congrats y'all! Looks interesting. One use case I believe you're talking about that I'd love to see even more fleshed out is the tool to find the interesting clips for me? I'd love if after I just did this upload, you were like: "here's 3 clips that seem interesting to our AI." Maybe even a summarization algorithm would suffice at finding the most relevant chunks in transcript? Or maybe something more fancy if it's doable. But I'd love a best effort stab at the clips so I don't even have to think about finding them :)
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I love this idea in concept.
The point of the transcript is to lower the bar on who can review video content. One layer on top of that is moving the technical work (cutting video) into an editorial role (picking the parts that are recommended).
We aren't trying to position ourselves to do the clip picking/recommendation now, but we have already done some machine learning based analysis to make this easier to find. We have a video processing task that looks for "scene changes" based on image threshold changes, so the metadata associated to when a new person joins/slide changes/etc is present.
The original thinking here is that we can recommend "templates" that correspond with certain video (ie. multiple speakers vs single presenter).