I am trying to rank video scenes/frames based on how appealing they are for a viewer. Basically, how "interesting" or "attractive" a scene inside a video can be for a viewer. My final goal is to generate say a 10-second short summary given a video as input, such as those seen on Youtube when you hover your mouse on a video.
I previously asked a similar question here. But the "aesthetics" model is good for ranking artistic images, not good for frames of videos. So it was failing. I need a score based on "engagement for general audience". Basically, which scenes/frames of video will drive more clicks, likes, and shares when selected as a thumbnail.
Do we have an available deep-learning model or a prototype doing that? A ready-to-use prototype/model that I can test as opposed to a paper that I need to implement myself. Paper is fine as long as the code is open-source. I'm new and can't yet write a code given a paper.