Researchers Teach Computers How to Name Images By ‘Thinking’
Penn State researchers have “taught” computers how to interpret images using a vocabulary of up to 330 English words, so that a computer can describe a photograph of two polo players, for instance, as “sport,” “people,” “horse,” “polo.”
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More than half the time, the computer’s first tag out of the top 15 tags is correct. In addition, for 98 percent of images tested, the system has provided at least one correct annotation in the top 15 selected words. The system, which completes the annotation in about 1.4 seconds…
This seems to be interesting, but still has a long way to go. Google has been using a human based process for the last few month. They show two people the same image and if their tags match Google accepts that tag as good.
