Merge pull request #81 from wiltodelta/docs/video-synthid-parked-state

Record the video SynthID measurements and park the investigation
This commit is contained in:
Victor Kuznetsov
2026-08-15 11:11:05 -07:00
committed by GitHub
3 changed files with 131 additions and 2 deletions
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@@ -1,3 +1,3 @@
date,source_url,source_sha256,source_width,source_height,source_fps,duration_seconds,source_verdict,vae,noise_std,long_side,fps,seed,output_sha256,output_verdict,output_verdict_text,output_detected_range,track,session_id,stratum,psnr_db,temporal_residual_ratio
2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,,,,8,detected_all_frames,,0.10,512,12,0,079165105d4c56e1612091987c08c2627049423025f74c0d4e245fb47c2ff0e3,detected,,,,,,26.2932,1.0072
2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,,,,8,detected_all_frames,,0.15,512,12,0,1c4046bcfdead138353b4e2a73339ba227bb5e544878d80c5bc6cd8427c7b00e,not_detected,,,,,,25.3911,1.0578
2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,1920,1080,24,8,detected_all_frames,,0.10,512,12,0,079165105d4c56e1612091987c08c2627049423025f74c0d4e245fb47c2ff0e3,detected,,,,,,26.2932,1.0072
2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,1920,1080,24,8,detected_all_frames,,0.15,512,12,0,1c4046bcfdead138353b4e2a73339ba227bb5e544878d80c5bc6cd8427c7b00e,not_detected,,,,,,25.3911,1.0578
1 date source_url source_sha256 source_width source_height source_fps duration_seconds source_verdict vae noise_std long_side fps seed output_sha256 output_verdict output_verdict_text output_detected_range track session_id stratum psnr_db temporal_residual_ratio
2 2026-07-31 https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4 79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d 1920 1080 24 8 detected_all_frames 0.10 512 12 0 079165105d4c56e1612091987c08c2627049423025f74c0d4e245fb47c2ff0e3 detected 26.2932 1.0072
3 2026-07-31 https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4 79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d 1920 1080 24 8 detected_all_frames 0.15 512 12 0 1c4046bcfdead138353b4e2a73339ba227bb5e544878d80c5bc6cd8427c7b00e not_detected 25.3911 1.0578
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@@ -112,6 +112,21 @@ measured 25.39 dB paired PSNR and a 1.058 motion-compensated temporal-residual
ratio. This is one carrier, not a universal guarantee; hashes and exact verdicts
are tracked in `data/evaluations/video-synthid-oracle.csv`.
### The invisible video path does not touch the audio track
`remove_video_invisible` regenerates the video stream and copies the source audio
verbatim: the extracted audio bitstream of input and output has an identical
sha256, measured on two carriers. It also strips every metadata marker, so the
output can report clean from `get_ai_metadata` and `identify_video` while carrying
an untouched generated audio track. Google's verifier scores audio and visual
tracks separately, and a track this path never modifies is a track it cannot have
cleaned.
Whether a given carrier's audio actually holds a mark the verifier reads has not
been established -- that needs a provider verdict, which has not been obtained.
Treat a clean local report on a clip with generated audio as unproven, not as a
guarantee, and check the audio separately when it matters.
The shipped engine streams sampled frames in bounded batches, computes its
fidelity metrics incrementally, and pipes regenerated pixels directly to
ffmpeg. Its frame and latent memory is therefore bounded by `--batch-size`
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@@ -171,6 +171,120 @@ Three readings, all MEASURED, none of them about SynthID:
so the `max(temporal_baseline, 1e-6)` denominator collapses and the ratio
inflates. This is the predicted defect, now observed rather than argued.
## Measurements on the real carrier (2026-08-06)
The public Veo 3 off-road sample was downloaded and its sha256 matched the manifest
exactly, so everything below is measured on the same file the 2026-07-31
calibration used. Its properties, none of which the manifest recorded at the time:
H.264 1920x1080 at 24 fps, 8.000 s, 5,155,063 bps video, plus an **AAC 48 kHz
stereo 192,241 bps audio track of 7.914 s**.
The shipped profile therefore delivers 512x288 at 12 fps: **7.1% of the frame area
and 3.6% of the pixels per second.**
### The geometry prize, measured end to end
Scored with `scripts/video_fidelity_probe.py` against the untouched 1920x1080
source, all at `noise_std=0.15`:
| Geometry | Frame area | PSNR | SSIM | Temporal | Bitrate |
| --- | --- | --- | --- | --- | --- |
| 512x288 @12 (shipped) | 7.1% | 25.3971 | 0.8215 | 1.0407 | 2187 kbps |
| 768x432 @12 | 16.0% | 27.3796 | 0.8556 | 1.0323 | 3782 kbps |
| 1024x576 @12 | 28.4% | 28.8542 | 0.8819 | 1.0262 | 5604 kbps |
| 512x288 @24 | 7.1% | 25.6142 | 0.8270 | 1.0995 | 3181 kbps |
**512 to 1024 is worth +3.46 dB, against 1.92 dB for the entire `noise_std` axis.**
The geometry lever is roughly twice the noise lever, which is the first hard number
this investigation has for the size of the prize. What it still costs in removal is
unknown: none of these was ever submitted.
Two readings that are not obvious from the table:
- **Temporal residual improves as resolution rises** (1.0407 to 1.0262). The shared
noise field lives on the latent grid, so at 1920 it is four times finer relative
to the frame than at 512, where it stretches into low-frequency blotches. Higher
resolution plausibly makes the perturbation *less* visible, not more.
- **The frame-rate arm looks bad here and the metric is the wrong judge.** 24 fps
buys +0.22 dB and worsens the temporal ratio to 1.0995, but what 24 fps actually
buys is smoothness, which neither PSNR nor SSIM measures at all. The metric sees
only the cost. Do not decide the fps question from this table.
Encoder cost on an M-series MPS device, 8 seconds of source: 51 s at 512/12, 180 s
at 768/12, 380 s at 1024/12, 190 s at 512/24. Native 1920x1080 at 24 fps
extrapolates to roughly 46 minutes for the same 8 seconds, around 350x real time. A
native run was started and killed before producing anything, so that figure remains
an extrapolation.
### The certified row does not reproduce
Re-running the certified configuration (512/12/0.15, seed 0) on this machine gave
25.5002 dB and 1.0675 against the manifest's 25.3911 and 1.0578, and a different
output sha256. The manifest records neither device nor dtype, and the original was
almost certainly CUDA fp16 while this was MPS fp32. **The oracle certified a
specific file that cannot be rebuilt**, so any re-run produces an artifact the
verifier never saw. Device and dtype belong in the schema.
### Audio passes through untouched, and the output still reads clean
Established on two carriers, by comparing the extracted audio bitstream sha256 of
input and output:
- Veo carrier: `674063df...` in, `674063df...` out.
- A Lyria 3 track generated for this purpose: `6ee4c041...` in, `6ee4c041...` out.
The Lyria case is the sharper one because its provenance is known. Google's own
generator stamps it: `get_ai_metadata` reads a C2PA manifest naming
`Google C2PA Core Generator Library`, issuer `Google LLC`, `trainedAlgorithmicMedia`.
After the shipped path runs, that output reports `{}` -- every metadata marker
stripped, `remaining_metadata` empty, visuals regenerated -- while the audio the
generator produced is bit-for-bit intact.
So the pipeline can produce a file that **our own detector calls clean while an
untouched Google-generated audio track sits inside it**. The mechanism is proven;
whether that audio carries an audible-to-the-verifier SynthID mark is not, and only
the oracle can say. If it does, this is a shipped defect rather than a quality
question, and it outranks everything else in this document.
Worth recording alongside it: the Veo carrier itself returns `{}` from
`get_ai_metadata`. The public sample carries no C2PA at all, which is exactly why it
needed an oracle verdict in the first place.
## State when this work was parked (2026-08-06)
Landed in `main` through PR #78: the manifest-backed default pin, the
scaling-factor gate and its single seam, the sweep loading through the engine's
loader, `scripts/video_fidelity_probe.py` with its tests, the extended manifest
schema, and this document. **The shipped operating point did not move**: it is
still 512 px / 12 fps / `noise_std=0.15`.
A product requirement arrived late and reframes the target: output resolution,
frame rate and bitrate must not be reduced. Resolution, frame rate and crf are
parameters and can be preserved, but zero quality loss is not achievable by this
mechanism at all -- removal works by rebuilding pixels, so a regeneration can never
return its input. The honest goal is to preserve container properties and make the
perceptual loss imperceptible, judged by DISTS and VMAF rather than PSNR. Two
consequences follow: crf 18 on this path against crf 14 on the visible path is an
unexplained asymmetry and a free quality win, and the oracle's 100 MB limit means a
higher-quality profile is *harder* to certify than the one it replaces.
Nothing is blocked on analysis. Six oracle submissions were prepared and never run,
because file upload to the verifier failed at the tool level:
1. A Lyria carrier and the pipeline's output from it, answering the audio question.
2. A multiplexed control-plus-candidate file at the shipped geometry, validating
whether the verifier reads a concatenated pair by time range. Verified locally
frame by frame: half one is bit-identical to the control, half two to the
candidate.
3. Three more multiplexed pairs for 768, 1024 and 24 fps, worth three queries
instead of six if the instrument validates.
Every generated artifact for those submissions has since been lost with its
scratch directory, which is the intended lifecycle for generated media. Rebuilding
costs one download and roughly 25 minutes of encoding; the Lyria track is the
exception, since regenerating it would produce a different track, and the copies
that survive are the only ones.
## The single most important unknown
**How much the 512 px downscale contributes to removal.** Every quality gain routes