Search Results for "JVET-AO0236"

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41st Meeting: by teleconference, CH, January 2026 2026-01-13 17:03
Abstract
This contribution reports crosscheck result of test EE1-3.1 (Normative TDO method as an alternative option in NNVC) It is confirmed that the crosscheck results align with those provided by the proponent.
JVET-AO0236 Crosscheck of JVET-AO0117 (EE1-3.1: Normative TDO method as an alternative option in NNVC) [J. Pardo (Huawei)] [late]
References:
Decisions
JVET-AO0236 Crosscheck of JVET-AO0117 (EE1-3.1: Normative TDO method as an alternative option in NNVC) [J. Pardo (Huawei)] [late]
Citation
41st Meeting: by teleconference, CH, January 2026 2026-02-05 12:07

Abstract not available in document

JVET-AO2041 Announcement of JVET AHG17 Meeting in Aachen, DE, 25-27 February 2026 [J.-R. Ohm, M. Wien] (2026-02-06)

Meeting will be hybrid.

Experts with need to request for Schengen visa might want to contact J.-R. Ohm and M. Wien as soon as possible.

Future meeting plans, expressions of thanks, a.o.b., and closing of the meeting

The draft of the WG 5 recommendations (see Annex C) was reviewed and approved in JVET at 1630–1645 on Friday 23 January.

Future meeting plans were established with the following general guidelines (assuming face-to-face meetings):

  • Meeting under ITU-T SG21 auspices when it meets (ordinarily starting meetings on the Monday, Tuesday or Wednesday of the first week and closing it on the Wednesday of the second week of the SG21 meeting – a total of 8-10 meeting days), and
  • Otherwise meeting under ISO/IEC JTC 1/‌SC 29 auspices when its MPEG WGs meet (ordinarily starting meetings on the Wednesday, Thursday or Friday prior to the main week of such meetings and closing it on the same day as other MPEG WGs – a total of 8–10 meeting days).

In cases where an exceptionally high workload is expected for a meeting, an earlier starting date may be defined, or AHG meetings might be scheduled prior to the meeting. In cases of online meetings, no sessions should be held on weekend days, such that meetings would typically start two days earlier.

Some specific future meeting plans were established as follows:

  • During 24 April – 1 May 2026, 42nd meeting under ISO/IEC JTC 1/‌SC 29 auspices in Santa Eulària, ES, to be conducted as hybrid meeting,
  • During 7 – 15 July 2026, 43rd
Decisions
a) JVET documents
The meeting was closed at 2349 UTC on 2026-01-23.
Citation
41st Meeting: by teleconference, CH, January 2026 2026-01-14 16:51
Abstract
This document summarizes the activities of AHG11: Neural network-based video coding between the 40th meeting in Geneva and 41st on-line meeting.
JVET-AO0011 JVET AHG report: Neural network-based video coding (AHG11) [E. Alshina, F. Galpin, S. Liu (co-chairs), J. Li, Y. Li, R.-L. Liao, M. Santamaria, T. Shao, M. Wien, P. Wu (vice chairs)]

Activities

The AHG used the main JVET reflector, jvet@lists.rwth-aachen.de, for emails exchange.

Teleconferences

The AHG conducted two joint teleconferences with AHG14 and EE1 during the interim period. The teleconferences were held on November, 18 and December, 16. In those teleconferences, the following topics were discussed:

  • NNVC15.0 software integration status and anchor performance.
  • Hybrid plus E2E AI video codec framework development status report.
  • MPEG AI survey.
  • Training reproducibility
  • Overflow aware model quantizing for bit-exact reproducibility
  • EE1 tests final design.

Details are summarized in the AHG11 & AHG14 teleconference report JVET-AO0041.

Common Test Conditions

The anchor for the NN-based video coding activity was made available though the Git repository used for the AHG activity:

https://vcgit.hhi.fraunhofer.de/jvet-ahg-nnvc/nnvc-ctc/-/blob/master/Anchor%20performance/NNVC_anchor_performance_NNVC-15-VTM_vs_NNVC-15.xlsm

and was also distributed by AhG14 in JVET-AO0014 and announced during intermediate AhG meeting.

Effect of training

Training of NNVC algorithms cannot be precisely reproduced due to the float point arithmetic used in training. However, using the same training dataset and same training procedure typically leads to BD-rate difference in inference within 0.1%. Higher differences indicate a problem with training reproducibility.

Some of EE1 sub-tests made...

Decisions
The AHG recommended to: Review all input contributions. Continue investigating neural network-based video coding tools, including coding performance and complexity. Continue study of the framework for hybrid codec combined with End-to-End AI coded pictures. Discuss device interoperability and bit-exact reconstruction of NNVC algorithms. Recommend promising technologies for next EE1 round.
Citation
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