The next step for AI? Understanding videos
11 December 2017 | Written by La redazione
The current boom in artificial intelligence was sparked, in part, by success in teaching computers to recognize the contents of static images by training deep neural networks on large labeled data sets. The next challenge may be teaching machines to understand not just what a video contains, but what’s happening in the footage as well. That could have some practical benefits, perhaps leading to powerful new ways of searching, annotating, and mining video footage. It also figures to give robots or self-driving cars a better understanding of how the world around them is unfolding. AI systems that interpret video today, including the systems found in some self-driving cars, often rely on identifying objects just in static frames rather than interpreting actions.
