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pith:N3VODOHB

pith:2026:N3VODOHBZDHJOPZDP32WTG2RYU
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Beyond VMAF: Towards Application-Specific Metrics for Teleoperation Video

Frank Diermeyer, Ines Trautmannsheimer, Richard Grauberger

Retraining VMAF on teleoperation ratings improves alignment with human judgments by 15 to 27 percent.

arxiv:2605.13525 v1 · 2026-05-13 · cs.HC · cs.RO

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

The retrained model demonstrated improved alignment with human ratings compared to the original 4K VMAF. In particular, RMSE decreased from 10.36 to 8.83, and MAD from 8.71 to 6.38, corresponding to improvements of 15% and 27%, respectively.

C2weakest assumption

That the subjective ratings collected in the online study are representative of real teleoperation performance and that the retrained model generalizes beyond the tested Zenseact sequences and compression conditions.

C3one line summary

Retraining VMAF on teleoperation-specific subjective ratings reduces RMSE from 10.36 to 8.83 and MAD from 8.71 to 6.38 compared to the standard model.

References

32 extracted · 32 resolved · 0 Pith anchors

[1] Amazon’s zoox robotaxi opens to public with free service in las vegas, 2025
[2] Next stop for waymo one: Washington, d.c 2025
[3] D. Brecht, N. Gehrke, T. Kerbl, N. Krauss, D. Majstorovic, F. Pfab, M.-M. Wolf, and F. Diermeyer. Evaluation of Teleoperation Concepts to solve Automated Vehicle Disengagements. [Online]. Available: h
[4] The Evolution of Video Quality Measurement: From PSNR to Hybrid Metrics, 2008
[5] Multiscale structural similarity for image quality assessment, 2003
Receipt and verification
First computed 2026-05-18T02:44:24.325564Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6eeae1b8e1c8ce973f237ef5699b51c50320b42cf7cf10e19e35968efc610808

Aliases

arxiv: 2605.13525 · arxiv_version: 2605.13525v1 · doi: 10.48550/arxiv.2605.13525 · pith_short_12: N3VODOHBZDHJ · pith_short_16: N3VODOHBZDHJOPZD · pith_short_8: N3VODOHB
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N3VODOHBZDHJOPZDP32WTG2RYU \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6eeae1b8e1c8ce973f237ef5699b51c50320b42cf7cf10e19e35968efc610808
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-05-13T13:38:54Z",
    "title_canon_sha256": "04621aee6f143a2fa7240cc5a94c82f848ee17eba22b9d3219f20f9f8909a704"
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