Shot scoring
Also known as: clip scoring, highlight scoring, aesthetic scoring
Rating each moment or clip by how interesting, exciting or visually good it is, so an editor or AI can pick the best ones for a highlight.
Updated
What it means
When hours of footage must become a few minutes, every moment needs a value. Shot scoring assigns one, based on signals such as action intensity, faces, sharpness, exposure, composition, uniqueness and sound. Higher-scoring moments are more likely to make the final edit.
Human editors score shots informally as they review footage, often with star ratings or color markers. AI systems do the same automatically, combining outputs from action recognition, face detection, blur detection and other models.
Good scoring considers context, not just individual frames: the third almost identical jump is worth less than the first.
How it works in practice
If you score footage yourself, use a simple system, such as three levels: must-use, maybe and skip. Review the whole session before scoring harshly, since your sense of what is great changes after seeing everything.
AI scoring works best when footage is varied and clean. Sharp, well-exposed clips with visible action and some faces or reactions tend to score highest, especially once the soft and shaky frames have already been filtered out.
Duplicates lower the value of each other. Recording many attempts of the same trick is fine, as long as the editing step keeps only the best one and duplicate shot detection drops the rest.
What to watch out for
Scores reflect what a model was trained to value. A beautiful calm landscape may score lower than a mediocre jump if the model favors action. Balanced systems include variety and context.
Over-relying on technical quality can drop moments that matter emotionally, such as a slightly blurry but hilarious crash. Human judgment still adds value, which is the whole idea behind human-in-the-loop editing.
Scores are relative to the footage available. In a session with few highlights, ordinary moments may rank high, so the result is only as strong as the raw material. Filming more attempts and more angles is the easiest way to raise the ceiling.
How RawClip handles it
RawClip uses AI analysis of motion, jumps, faces and peak action to judge your moments, removes dull and duplicate footage, and cuts the best parts to the length you choose for one highlight.