video-constraint-map — Traditional AI Model
Video Constraint Map measures a long source once and reports what a planner cannot infer from a single frame: how deep a bottom crop may go before it eats the subject, read off the source's own burned-in captions.
Details
- CategoryTraditional
- Year-1
- License
Inputs & Outputs
- VideoInput · video
The source video to measure (before trimming)
- SegmentsInput · segments · optional
Optional candidate segments to restrict measurement to. Leave unconnected to measure the whole source, which costs proportionally more.
- ConstraintsOutput · string
JSON: derived crop depth, caption spans, cut-boundary spans, and the per-window subject grid, each with its evidence
Tags
Alternatives in Video Editing
- Audio Finish
Normalize a video's loudness to a broadcast target (2-pass loudnorm + peak limiter).
- Hook Teaser (Cold Open)
Prepend a cold-open teaser of each clip's hook moment to the front.
- Narration Mux (Cold Open)
Prepend a voiceover cold-open (frozen first frame + narration) to a clip.
- Remove Dead Zone
Remove silent gaps from each clip in a video list to tighten pacing.
- Slice Transcript to Clips
Slice a whole-video transcript onto each clip.
- Snap Segments to Speech
Snap segment boundaries to speech word boundaries.
- Video Caption
Burn each clip's highlight text onto it as a caption overlay.
- Video Clean Span
Trim each clip to its single dominant continuous shot (remove mid-clip frame jumps).