Video player looks cool! Even though this is based for badminton, i have found this one <https://cvit.iiit.ac.in/research/projects/cvit-projects/badminton-analy

Video player looks cool! Even though this is based for badminton, i have found this one <https://cvit.iiit.ac.in/research/projects/cvit-projects/badminton-analytics https://cvit.iiit.ac.in/research/projects/cvit-projects/badm...> quite interesting for sport analytics projects. I think interesting moments bookmarking is more of an open-ended problem and would very much depend on the game, but large computer-vision models like CLIP have proved to be really useful in recognizing general-purposes activities. You could sample frames uniformly from a game video, index them with a text-captioning model, then find/curate a subset of those captions based on your definition of interesting, and then use those curated captions to look for those moments in future videos, i think!