scene_cut_detection — VIDEOSTREAM analysis op

• Data kinds: video → table

• Call: import fullseye as fs; fs.ledger.scene_cut_detection(video, bins: 'int' = 64, threshold: 'float' = 0.3) -> 'dict' (to call the implementation directly, import videostream; videostream.scene_cut_detection(video, bins: 'int' = 64, threshold: 'float' = 0.3) -> 'dict'; from the registry, opsvideostream.get("scene_cut_detection"))

Usage

Shot-boundary chi-square histogram distance over a clip → {"distance", "cut", "n"} (table).

distance[t] is the chi-square distance of frame t's histogram to frame t−1's (distance[0] = 0); cut[t] is distance[t] > threshold. Streaming form: one histogram of state, no frames kept.

Detailed usage guide

• video_streaming family guide

Background guides (the physics and conventions behind this op)

• mv_cables — Cables (standards, speed, power delivery, robot cables)

• mv_frame_grabbers — Frame grabber boards (not optics, but they decide whether you can capture at all)

• mv_standards — Camera interface standards and the bodies behind them

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• video_streaming — py -3.11 examples/video_streaming.py

Ops the type connects to (they accept table as input)

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Same category (analysis)

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*Provenance: videostream.py — VIDEOSTREAM operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.