Video Indexing: How Machines Watch Footage

Indexing a video means processing it once, up front, to extract everything searchable inside it — so future queries don't require re-watching the footage from scratch. For text, that's building a lookup of words to documents. For video, it's building a representation of what's happening in each frame: objects, actions, on-screen text, and what's being said.

A thorough index covers more than one signal, because a single moment can be found several different ways depending on what you remember about it:

• Visual content — objects, actions, scenes, framing
• Spoken dialogue — what was said, and by whom
• On-screen text — captions, slides, graphics burned into the frame
• Structure — where one shot or scene ends and the next begins

If a system re-analyzed footage every time you searched it, search would be slow and editing would stall waiting on it. Indexing happens once, on import, so every later search — by you or by an AI agent building an edit — is instant. This is also why Broll indexes raw footage as soon as it's uploaded: the editorial work that follows, finding moments and building a story, depends on the index already being there.