Time-domain augmented reality based on locally adaptive video sampling

We propose a new approach for augmented reality, in which real-world scene images are augmented with video fragments manipulated in the time domain. The proposed system aims to display slow-motion video sequences of moving objects instantly without accumulated time lag so that a user can recognize and observe high-speed motion on the spot. Images from a high-speed camera are analyzed to detect regions with important visual features, which are overlaid on a normal-speed video sequence.