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Use case blueprint

Media operations

Index long footage, find usable segments, and reduce repeated editorial reprocessing.

Media teams, creators, editors, archives, sports/content operations.REST beta pathEvidence-first reviewNo checkout

Problem this solves

Media teams often re-watch the same footage to answer simple operational questions: where is the scene, when did the object appear, which segment contains the event, and what evidence supports the selection. Durable artifacts let editorial tools search timeline and scene state without repeatedly rebuilding video context.

Implementation blueprint

StageImplementation detail
Ingest long clipAdd a representative clip or archive sample to the beta workspace.
Build timelineGenerate timeline markers, scene state, object references, and evidence spans.
Search segmentsAsk timestamped questions and retrieve candidate intervals with evidence.
Export referencesUse artifact IDs and time spans in the editing or review workflow.
Measure re-useTrack repeated questions and segment retrieval frequency to prove savings.
Artifacts

Evidence and artifact checklist

  • timeline.json
  • scene_graph.json
  • evidence_bundle.json
  • cost.json

Open artifacts before increasing limits. A strong evaluation compares artifact state with the original footage and records misses, ambiguity, confidence, and cost.

Metrics

What to measure

  • segment retrieval time
  • repeated queries
  • evidence span accuracy
  • editor review time
  • cost per indexed hour

The goal is not a generic demo; the goal is deciding whether this workflow should become a paid pilot, remain a small beta test, or require escalation.

Pass/fail evaluation checklist

  1. One representative video or stream window is processed.
  2. scene_graph.json or timeline.json matches the footage well enough for the workflow.
  3. evidence_bundle.json cites time spans for the important answer.
  4. cost.json shows the processing window, detector path, and estimated cost boundary.
  5. High-risk decisions remain human-reviewed and agent tools remain read-only.
  6. The dashboard shows limits before the user hits them.

Related implementation pages