Fast sports-scene search engine
Based on deep learning, our technology enables extremely fast searches for similar game scenarios in sports, with a search time below 1 second for about 1 million scenes. The search doesn’t require any manual annotation, only position data for the ball and players, which is already collected in many sports. This not only finds game situations very quickly, but should also automatically evaluate the execution of those situations. Using reinforcement learning, it should eventually be possible to generate unique solutions for real game situations and ultimately propose the most promising ones.