jev-video-qa

1# Default video-QA triage
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3For video QA, use this workflow by default rather than offering Jev as an optional experiment. This is a **screening/review-planning default**, not automatic approval or a blanket cloud-vision opt-in. It grants no paid, publication, customer-data or image-upload authority beyond the owner's existing scope. No gateway restart, routing switch, or general `vision_cloud` change is needed.
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5## 1. Establish facts locally
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7Use the video's real delivery contract and inspect the actual encoded artifact. Run the applicable local decode, geometry, duration, cadence, freeze/seam, audio and caption checks. Do not mark unperformed checks passed. Intentional holds, blanks, overlaps and approved colors are task-specific, not blanket defects. A local failure returns to repair before image inference. Unknown measurements return to local inspection.
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9Record a `jev.video_qa_v1` job with exact source/frame SHA-256 identities and authored requirements. Read `docs/video-qa.md` in the source repo for the schema and the command `python3 scripts/video_qa.py JOB.json --out receipt.json`. The original fixed-heading pilot is not a general-purpose checker and must not be used on unrelated videos.
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11## 2. Route eligible pixels, not everything
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