Artificial Intelligence and Video Production – Will it Replace Humans?

Without question, the way creative professionals “create” is evolving at a rapid pace. Now, the rise of Artificial Intelligence promises much more in the very near future.

If you are a creative in either the film or video production industries, this may well be the most important podcast you will listen to this year. Artificial intelligence will have a profound impact on how you do your work over the next decade. Machines will not replace humans, at least not in the near term, but they will become very active creative partners.

Let’s prove this on this podcast. Let’s actually have artificial intelligence answer parts of this listener question for us, using voice recognition combined with a search within a database of keywords that should trigger an automated response. Sorta like when you ask Siri or Google.. here it goes.

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Show notes:

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  1. Unfortunately, 99% of the videos made may be garbage, but time is a constant; there is only so much of it in a day, a week, a year. When viewers spend 1 minute or 5 minutes or a half-hour watching a garbage video, that’s time they didn’t spend watching a great video. And statistically speaking, to the analyst checking what got watched to determine who gets hired, that’s Garbage Videomaker: 1, Great Videomaker: 0.

  2. I think some form of editing automation is reasonably close.

    I’m thinking of how today certain kinds of “ordinary” news stories (sports primarily, I believe) can be “written” by a computer program that understands the semantics of this well enough to do a basic news story about “the game.”

    I’m thinking about how facial recognition has become commonplace.

    I’m thinking about how many informational videos are really edited around what is said and how voice recognition and automated transcription are now widely used.

    I can see these all coming together in a way that will not necessarily replace a human editor, but for a large number of ordinary projects, it will deliver a rough cut automatically, along with a list of probable second choices. This machine-created rough cut will often contain hilarious errors at first, but it will easily prove itself to be an efficient starting point for the “real edit.”

    Clearly, the more creative, the more novel the story to be told, regardless of subject, the less useful such a tool will be. But it’s not difficult to see a basic tool growing more supple over time.

    A related kind of development — dealing with intake and metadata has been mentioned — could be a combination of media management and voice recognition for the editor. “Show me all of the clips of Joe like this one” could be a pretty useful bit of automation. “Show me all the B-roll and let me name each clip verbally” — no typing. And many more things like this.

    The automation of video editing won’t be a monolithic thing but there are plenty of different on-ramps we will be seeing in the near future.

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