For example, if I use convolutional neural networks to parse broadcast video and derive statistics from that data, how could I not own that information?
For example, if I use convolutional neural networks to parse broadcast video and derive statistics from that data, how could I not own that information?
Somebody else could independently gather that data, produce alternative, even identical results and their work would be copyright.
I am not a lawyer but that's how I understand it.
It's not a copyright violation to collect and share the same information. It _is_ a copyright violation to simply copy and republish the data from a given source.
So how can a map-maker tell that someone copied them instead of collecting their own information? They insert watermarks in the form of inaccurate data (such as inserting a small city that doesn't actually exist). See: https://www.google.com/amp/s/gizmodo.com/the-fake-places-tha... and https://en.m.wikipedia.org/wiki/Fictitious_entry.
I wonder what kind of fictious entry you could inject into sports data that wouldn't compromise the quality of the data too severely?