I'm sure this was already easily doable for years by using plain and boring computer vision

saintmaxi 11 minutes ago | parent | next [-]

I worked for a company in 2020 that did ad analysis with computer vision - specifically in sports, quantifying value for sponsors based on exposure on team socials (accounting for logo size, positioning, etc in photos + videos) - I was a humble annotator https://www.blinkfire.com

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GuB-42 an hour ago | parent | prev | next [-]

It was easily doable for even more years using plain and boring MK1 eyeballs and a stopwatch.

If you are spending millions on ads, you can pay a couple of guys to watch TV and take notes.

	▲	mapt 13 minutes ago \| parent [-]
		For the World Cup, this was always easy. It was not easy for your local triple A baseball game being streamed to 500 viewers. This approach scales down.

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gps372 an hour ago | parent | prev | next [-]

Plain and boring computer vision would have still required a team who would identify frames to sample before processing, and then annotate, generalize and classify the data.

Not an expert on this but I don't think same kind of manual effort is required anymore.

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OccamsMirror an hour ago | parent | prev [-]

You probably don't even need vision. The audio on adverts is noticeably different.

	▲	vasco an hour ago \| parent [-]
		There's no audio on the adverts in question. > The analysis counted advertising built into the match footage (e.g. on the hoardings), rather than commercials shown during advertising breaks