video_editing_poc/docs/cinematic-highlight-poc-plan.md

Local Cinematic Highlight PoC — Plan & Milestones

Owner: (Jaden) · Started: 2026-07-21 · Machine: Intel Mac (x86_64, 16 CPU, 32 GB, no GPU)

Objective

Produce ONE genuinely cinematic highlight from a local source video, end-to-end through the existing pipeline, using only local models resident in the service runtime: Piper (voiceover) + MusicGen (music) + AudioLDM2 (SFX), with deliberate visual treatment and pacing, and explicit human approval before any render.

A valid MP4 or a passing test is NOT success. Success = representative output passes measured media QA and a human creative review.

Non-negotiables (still in force during the PoC)

No external AI services in the media path · no placeholder silence/tones/OS say as a finished asset · no unlicensed assets · no rendering without explicit approval for the specific project · no inference-time network (models load from local dirs, HF_HUB_OFFLINE=1). NOTE: the user authorized model DOWNLOADS on 2026-07-21 (one-time provisioning), reversing the earlier no-download stance; inference stays offline.

Proven capability baseline (2026-07-21)

Model	Runtime	Status	Evidence
Piper en_US-lessac-medium	piper-tts 1.5.0	✅ works	real speech, 22.05 kHz
MusicGen musicgen-small	transformers 4.44.2 + torch 2.2.2	✅ works	5 s / 44.7 s CPU, mean −18 dB, 32 kHz
AudioLDM2 cvssp/audioldm2	diffusers 0.30.3	✅ works	3 s / 22.3 s CPU, mean −21.8 dB, 16 kHz

Environment traps (see memory local-model-runtime-intel-mac): torch capped at 2.2.2 (Intel-Mac), numpy<2, transformers must be 4.x, audiocraft/xformers unusable here, HF_HUB_DISABLE_XET=1 for downloads.

Plan

Phase 1 — Generate all three assets THROUGH the pipeline

• 1.1 Rewrite tools/local_asset_worker.py: music→transformers MusicGen, sfx→diffusers AudioLDM2 (resample to 48 kHz mono), voiceover→Piper (unchanged). audiocraft path removed. CLI + exit codes preserved.
• 1.2 Materialize models into stable models/ dirs via save_pretrained (tools/provision_local_models.py): models/musicgen-small (2.2 G), models/audioldm2 (4.2 G); models/piper (60 M) already present.
• 1.3 License/provenance .license.txt sidecars for each model marker file (config.json / model_index.json / voice .onnx). BOTH audio models are NON-COMMERCIAL (MusicGen CC-BY-NC-4.0, AudioLDM2 CC-BY-NC-SA-4.0) — flagged for production review. Honors the AssetLicensePolicy regular-file gate; no Java change.
• 1.4 Smoke test: voiceover 3.67 s/−15.8 dB, music 4.94 s/−12.0 dB, sfx 3.00 s/−20.6 dB — all 48 kHz mono, real signal, exit 0.
• 1.5 mvn -o verify → 245 tests / 62 classes / 0 failures / 0 errors / 0 skips (unchanged from baseline).

Phase 1 COMPLETE (2026-07-21).

Phase 2 — One approved end-to-end highlight (STOP before render for explicit approval)

• 2.1 Opt-in localpoc Spring profile added (application-localpoc.yml): venv python, model paths, offline, no bootstrap auto-start, heuristic visual, isolated PoC I/O dirs, render OFF, approval REQUIRED.
• 2.2 DJI source processed under localpoc (app started, ~4 min 4K analysis): wrote category.json (GENERIC_VLOG, conf 0.25) + highlight-candidates.json (3 windows: 27-39 s, 36-48 s, 81-93 s). Actual footage = blue Porsche Taycan aerial orbit (EV car reveal).
• 2.3 Hand-authored director/edit-plan.json: 3 x 9 s highlights (opening_hook / rising_energy / hero_payoff), grounded in the visible car; passes ALL validator constraints (containment, speed 1.0, duration bounds, VO budget, category match). Manual + local-only (no external AI).
• 2.4 RENDERED (operator-approved 2026-07-21). render-enabled override + approved.flag → local models generated 3 VO (Piper) + 3 music (MusicGen) + SFX (AudioLDM2) → 3 highlights rendered → project final.mp4 assembled (27.3 s, 51.7 MB). Flow ~8.6 min. All real local-model assets, no placeholders.
• [~] 2.5 QA measured (honest): PASS — 1920x1080 / H.264 / 30 fps / AAC 48 kHz; duration 27.3 s; integrated loudness -15.8 LUFS (target -16 ±1); no black frames; no long silence; overlays render & are grounded ("First light.", "Silent power."); VO intelligible. FAIL/weak — true peak: highlight_001 = 0.0 dBFS (clips; target ≤ -1.5 dBTP); h2/h3 = -1.4 dBFS (loudnorm TP limiting not enforced tightly). Visual "treatment" is essentially PASSTHROUGH — no visible cinematic grade/reframe (renderer maps any treatment to a generic look); overlays are plain white captions. LRA 16.9 (high). Pipeline's own qa-report passed because its grade/clip checks are structural. Verdict: genuine end-to-end local PoC, NOT yet "genuinely cinematic." Visual grade + true-peak limiting are the top Phase 3 items.

Phase 3 — Iterate to quality

Ranked from the first render's evidence:

• [~] P3.1 Stronger filmic grade in HighlightFfmpegRenderer.cinematicVisualFilter: S-curve (curves medium_contrast) + teal-orange colorbalance + eq + unsharp + vignette (replaces the weak fixed eq). Verified visually (richer blue, warm highlights, contrast, vignette). NOTE: still ONE uniform look — not yet beat/category-specific (that needs a validated grade enum plumbed via EditDecision). Only the highlight renderer changed; multi-clip FfmpegEditRenderer untouched.
• P3.2 True-peak safety: added alimiter=level=disabled:limit=0.72 after loudnorm in the audio mix. VERIFIED by re-render: project true peak 0.0 dBFS (clipping) → -1.7 dBFS; per-highlight -1.7/-2.7/ -2.8 (all <= -1.5 dBTP gate); integrated loudness -16.3 LUFS. (First pass at limit=0.79 gave -1.3 on h1, 0.2 dB over — tightened to 0.72 for inter-sample margin.) Test added.
• P3.3 Overlay styling: premium type, safe-area, subtle animation instead of plain white captions.
• P3.4 Real CV visual analysis (resident model, no bootstrap script) to improve candidate selection.
• P3.5 Music/SFX creative fit + ducking review; consider longer inference / better prompts.
• P3.6 Freeze acceptance thresholds + blinded human creative review vs baseline before declaring success.

Milestone log

• 2026-07-21: Models provisioned & individually proven (Piper, MusicGen, AudioLDM2). Plan approved. Phase 1 started.
• 2026-07-21: Phase 1 complete. Worker rewritten (audiocraft→transformers MusicGen + diffusers AudioLDM2), models materialized to models/ with license sidecars, all 3 asset kinds generate 48 kHz mono real audio through the worker, mvn -o verify green (245/0/0/0). Paused for review before Phase 2.
• 2026-07-21: Phase 1 committed (a95d1fa). Phase 2 up to approval gate: localpoc profile added, DJI source processed → candidates + category, grounded 3-highlight director plan authored & pre-validated. STOPPED — awaiting explicit render approval for dji_21230510013241_0091_d.

Deferred (until output-quality gate passes)

Production hardening: Spring Security/OIDC, PostgreSQL/Testcontainers, containers/K8s, CI/CD, distributed ops, digest-bound authenticated approval. Recorded, not deleted.