Google’s AI is binge-watching human behavior on YouTube
Google’s AI is binge-watching human behavior on YouTube
By Lauren Tousignant October 23, 2017 | 11:59am
Robots are watching us. Literally.
Google has curated a set of YouTube clips to help
machines learn how humans exist in the world. The AVAs, or “atomic visual
actions,” are three-second clips of people doing everyday things like drinking
water, taking a photo, playing an instrument, hugging, standing or cooking.
Each clip labels the person the AI should focus on, along
with a description of their pose and whether they’re interacting with an object
or another human.
“Despite exciting breakthroughs made over the past years
in classifying and finding objects in images, recognizing human actions still
remains a big challenge,” Google wrote in a recent blog post describing the new
dataset. “This is due to the fact that actions are, by nature, less well-defined
than objects in videos.”
The catalog of 57,600 clips only highlights 80 actions
but labels more than 96,000 humans. Google pulled clips from popular movies,
emphasizing that they drew from a “variety of genres and countries of origin.”
If there are two people in a clip, each person is labeled
separately, so a machine can learn that two people are needed to shake hands
with one another or that sometimes humans kiss when they also hug.
The technology will help Google analyze years and years
of video and could also help advertisers better target consumers, based on the
actions a person is more likely to watch.
Ultimately, the goal is to teach computers social visual
intelligence, according to an accompanying research paper which describes it
as, “understanding what humans are doing, what might they do next and what they
are trying to achieve.”
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