This invention describes a way to create a fake video from a real-world scene to test how well video analysis software works. It first records a real video and simultaneously measures physical details like position, size, and orientation of objects in that scene using special sensors. These measurements are then used to build a virtual version of the scene and generate a synthetic video that mimics the real one, allowing for precise evaluation of video analysis systems. The claims specifically require using sensors like GPS or 3D scanners to get these physical measurements for annotating objects.
Why it matters: Filed before the explosion of deep learning for computer vision. The need for perfectly labeled synthetic data to train and validate advanced AI video analysis systems has become critical, a problem this invention directly addresses.
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