Frames, shots, and scenes: Structuring video for AI workflows

Using Markus Eder’s ski film The Ultimate Run as an example, the piece explains how Mux Robots analyzes video at different levels of granularity depending on the task. Frames answer questions about individual images, shots identify continuous takes and visual cuts, and scenes group related shots into coherent visual or narrative sequences, while key moments and chapters create viewer-facing clips and navigation structures. Embedding-based search retrieves content by semantic meaning, such as locating an ice-tunnel sequence, but still requires choosing an appropriate level of detail for results. The approach emphasizes beginning with the least expensive signal that can narrow a question, then adding visual, transcript, or multimodal context only when needed, improving speed, cost, and relevance across applications such as thumbnails, moderation, search, clip discovery, timelines, accessibility, and compliance.

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