ZunaVision is a technology that allows users to seamlessly and photorealistically “embed” pictures, logos, videos and advertisements within their videos.
Stanford artificial intelligence researchers, computer science graduate students Ashutosh Saxena and Siddharth Batra, and Assistant Professor Andrew Ng have developed software that makes it easy to reach inside an existing video and place a photo on the wall so realistically that it looks like it was there from the beginning.
The software can easily plunk an image on almost any planar surface in a video, whether wall, floor or ceiling. And the embedded images don’t have to be still photos—you can insert a video inside a video.
The below embedded video has more some interesting usage of ZunaVision. For those on Reader software, check this link.
The technology can cheaply do some of the tricks normally performed by expensive commercial editing systems.
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