Today there are more low-quality video cameras–surveillance and traffic cameras, cell-phone cameras and webcams–than ever before. But modern search engines can’t identify objects very reliably in clear, static pictures, much less in grainy YouTube clips. A new software approach from researchers at Carnegie Mellon University could make it easier to identify a person’s face in a low-resolution video. The researchers say that the software could be used to identify criminals or missing persons, or it could be integrated into next-generation video search engines.

For the full article, see the Technology Review by MIT

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