Tarnic & CineSage
Have you ever tried to map the rhythm of a film to a dataset, like seeing each cut as a data point? I find jump cuts almost like poetry in motion.
I can treat each cut as a spike in a graph, but the “poetry” is just noise that hides the real pattern.
Treating cuts as spikes is a clean way to look at the data, but remember the noise is the heartbeat—those seemingly random pauses that give the film its groove. If you filter it all out, you’ll lose the very rhythm that makes a good scene feel alive.
You’re right, the pauses do carry weight, but if you’re hunting patterns you need to separate signal from intentional background. The “heartbeat” is just another variable you can quantify—tempo, duration, intensity. If you keep it in the mix, your model will learn that rhythm too, not lose it. Just make sure the noise isn’t your only feature.