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32nd Meeting: Hannover, DE, October 2023 2023-10-06 13:40
AHG12: GOP-based RPR encoder control for ECM
Authors: K. Andersson Ericsson J. Ström Ericsson Ruoyang Yu Ericsson W. Ahmad Ericsson P. Wennersten Ericsson
Abstract
GOP-based RPR encoder control has been available for VTM since VTM-19.0. It selects coding in a reduced resolution when impact of re-scaling performance between source resolution and reduced resolution is expected to be limited. ECM does not have such functionality. This contribution proposes to add the GOP-based RPR encoder control from VTM to ECM to enable further experimentation of RPR functionality in ECM.
Meeting Notes
JVET-AF0058 AHG12: GOP-based RPR encoder control for ECM [K. Andersson, J. Ström, R. Yu, W. Ahmad, P. Wennersten (Ericsson)]

GOP-based RPR encoder control has been available for VTM since VTM-19.0. It selects coding in a reduced resolution when impact of re-scaling performance between source resolution and reduced resolution is expected to be limited. ECM does not have such functionality. This contribution proposes to add the GOP-based RPR encoder control from VTM to ECM to enable further experimentation of RPR functionality in ECM.

Objective performance (BDR) for RA 4K resolutions and QP 40, 43, 47 and 50 is reported as:

ECM-10.0 with GOP-based RPR versus ECM-10.0: Y: -3.25%, U 5.95%, V 5.15%

VTM-22.0 with GOP-based RPR versus VTM-22.0: Y: -8.92%, U -3.38%, V -5.87%

Objective performance (BDR) for RA all resolutions and QP 40, 43, 47 and 50 is reported as:

ECM-10.0 with GOP-based RPR versus ECM-10.0: Y: -1.48%, U 2.37%, V 1.54%

VTM-22.0 with GOP-based RPR versus VTM-22.0: Y: -4.08%, U -2.82%, V -3.92%

It is noted that the benefit of using the GOP-based RPR encoder control in ECM is less compared to its usage in VTM but that it still shows promising coding gains at challenging bitrates.

It is also asserted that subjective quality can be improved by the proposal.

The QP values experimented here are not in RPR CTC.

GOP-based RPR in VTM is provided as an optional encoder control but not enabled in RPR CTC in the context of VTM.

If performance gain is the goal, then CTC should be used to conduct experiments.

Further study was recommended.

CTC for EE2/ECM and general ECM...

ARCHIVE :
JVET-AF0058-v1.docx JVET-AF0058-v1_ECM.xlsm VTM-22.0_vs_GOPbased_RPR.xlsm
Decisions
Contributions in this area were discussed at 1400–1610 on Tuesday 17 Oct. 2023 (chaired by Y. Ye).
Citation
33rd Meeting: by teleconference, CH, January 2024 2024-01-23 10:35
AHG12: GOP-based RPR encoder control for ECM
Authors: K. Andersson Ericsson J. Ström Ericsson P. Wennersten Ericsson Ruoyang Yu Ericsson W. Ahmad Ericsson
Abstract
GOP-based RPR encoder control has been available for VTM since VTM-19.0. It selects coding in a reduced resolution when the PSNR impact of re-scaling from source resolution to reduced resolution is expected to be limited. ECM does not have such functionality. In JVET-AF0058 the GOP-based RPR encoder control was implemented in ECM and was demonstrated to show benefit for high QPs, but that contribution lacked results for CTC. The present contribution includes results on CTC.
Meeting Notes
JVET-AG0116 AHG12: GOP-based RPR encoder control for ECM [K. Andersson, J. Ström, P. Wennersten, R. Yu, W. Ahmad (Ericsson)]

GOP-based RPR encoder control has been available for VTM since VTM-19.0. It selects coding in a reduced resolution when the PSNR impact of re-scaling from source resolution to reduced resolution is expected to be limited. ECM does not have such functionality. In JVET-AF0058 the GOP-based RPR encoder control was implemented in ECM and was demonstrated to show benefit for high QPs, but that contribution lacked results for CTC. The present contribution includes results on CTC.

Objective performance (BDR) is reported as:

ECM-11.0 with GOP-based RPR versus ECM-11.0:

  • RA Y: -0,06%, U: 0,75%, V: 0,71%
  • LDB Y: 0,01%, U: 0,09%, V: 0,03%

It is also asserted that subjective quality can be improved by the proposal.

It is proposed to add the GOP-based RPR encoder control from VTM to ECM to enable further experimentation of RPR functionality in ECM for improved coding efficiency.

In v2 results based on MS-SSIM were added.

  • RA -0,29% 0,22% 0,05%
  • LDB: -0,05% -0,03% -0,06%

The comparison performed in this contribution uses the normal CTC (rather than RPR CTC) as the anchor. The goal is to show that for 4K sequences, by switching the resolution on a GOP basis, a small luma performance gain can be achieved (though chroma performance loss is observed).

The proposed method is encoder only.

The proponent reported subjective improvement in offline viewing. No examples were provided in the contribution.

The cross checker suggests that the proposed change...

Cited:
JVET-AG0319 X
ARCHIVE :
JVET-AG0116-v1.docx JVET-AG0116-v1.xlsm JVET-AG0116-v2.docx JVET-AG0116_msssim-v1.xlsm
Decisions
Local QP optimization
adopted
Decision (SW): Adopt JVET-AG0116.
Citation
32nd Meeting: Hannover, DE, October 2023 2024-01-16 00:12
Report of verification test on VVC multi-layer coding: Content layering
Authors: Shunsuke Iwamura Philippe de Lagrange M. Wien Jens-Rainer Ohm
Abstract
This document reports the verification test results of VVC multi-layer coding according to the “Content layering” category of the verification test plan JVET-AD2021 that was issued in the 30th JVET meeting. Content layering is one of the useful use cases, where main content and multiple sub-content are coded with multi-layer coding into a single bitstream and delivered to the users. By selecting a layer to be decoded, the user can freely select whether to view the main content or the sub-content. The functional test using three test sequences with sub-contents was carried out using a real-time VVC decoder with multilayer coding capability, to demonstrate the effectiveness of content layering application.
Meeting Notes
JVET-AF2033 Report of verification test on VVC multi-layer coding: Content layering [S. Iwamura, P. de Lagrange, M. Wien] [AG 5 N 105)] (2023-12-22)

This includes a description of the content layering functional test conducted during the 31st meeting, and the outcome.

Future meeting plans, expressions of thanks, and closing of the meeting

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

  • Meeting under ITU-T SG16 auspices when it meets (ordinarily starting meetings on the Tuesday or Wednesday of the first week and closing it on the Wednesday of the second week of the SG16 meeting – a total of 8-9 meeting days), and
  • Otherwise meeting under ISO/IEC JTC 1/‌SC 29 auspices when its MPEG WGs meet (ordinarily starting meetings on the 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 8–9 meeting days).

In cases where an exceptionally high workload is expected for a meeting, an earlier starting date may be defined. 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 (to be confirmed) were established as follows:

  • During Wed. 17 – Fri. 19 and Mon. 22 – Fri. 26 January 2024, 33rd meeting under ISO/IEC JTC 1/‌SC 29 auspices, to be held as a teleconference meeting,
  • During Wed. 17 – Wed. 24 April 2024, 34th meeting under ITU-T SG16 auspices in Rennes, FR,
  • During Fri. 12 – Fri. 19 July 2024, 35thmeeting under ISO/IEC JTC 1/‌SC 29 auspices in Sapporo,...
Cited:
JVET-AQ0190
ARCHIVE :
JVET-AF2033-v1.docx
Decisions
a) JVET documents
The meeting was closed at 1724 CEST on 2023-10-20.
Citation
32nd Meeting: Hannover, DE, October 2023 2023-10-13 10:00
JVET AHG report: Encoding algorithm optimization (AHG10)
Authors: Philippe de Lagrange A. Duenas Rickard Sjöberg Alexis Tourapis Jens-Rainer Ohm
Abstract
This document summarizes the activities of AHG10 on encoding algorithm optimization, between the 31th meeting (Antalya, Geneva, CH, 11–19 July 2023) and the 32nd meeting (Hannover, DE, 13–20 October 2023).
Meeting Notes
JVET-AF0010 JVET AHG report: Encoding algorithm optimization (AHG10) [P. de Lagrange, A. Duenas, R. Sjöberg, A. Tourapis (AHG chairs)] Related contributions A total of 5 contributions, not including cross-checks, are identified relating to AHG10, and summarized in the following sections. DMVR encoder control JVET-AF0057 – EE2-3.5: DMVR with robust MV derivation Though this contribution in an EE2 test, it contains an encoder-only aspect (test 3.5b), maxing out the RD cost of coding modes where DMVR is likely to create annoying artefacts. The BD-rate impact can be up to around 2% for high QPs (the normative solution seems to have both much less BD-rate impact and better subjective quality). Adaptive resolution JVET-AF0058 – AHG12: GOP-based RPR encoder control for ECM This contribution proposes to port the GOP-base RPR encoder control feature available in the VTM to ECM. The gains seem to...
ARCHIVE :
JVET-AF0010-v2.docx
Decisions
The AHG recommended that the related input contributions be reviewed and to further continue the study of encoding algorithm optimizations in JVET.
Citation
32nd Meeting: Hannover, DE, October 2023 2023-10-12 23:44
JVET AHG report: Enhanced compression beyond VVC capability (AHG12)
Authors: Marta Karczewicz Y. Ye Li Zhang B. Bross Roman Chernyak Xinwei Li Karam Naser Yue Yu Jens-Rainer Ohm
Abstract
This document reports the work of the JVET ad hoc group on enhanced compression beyond VVC capability (AHG12) between the 31st meeting in Geneva, CH, 11–19 July 2023, and the 32nd meeting, Hannover, DE, 13–20 October 2023.
Meeting Notes
JVET-AF0012 JVET AHG report: Enhanced compression beyond VVC capability (AHG12) [M. Karczewicz, Y. Ye, L. Zhang (co-chairs), B. Bross, R. Chernyak, X. Li, K. Naser, Y. Yu (vice-chairs)] Activities The Common Test Conditions were updated (JVET-AE2017). The peak memory usage has been added to the reporting template. The primary activity of the AHG was the “Exploration experiment on enhanced compression beyond VVC capability” (JVET-AE2024). The combined improvements of the ECM-10.0 over VTM-11.0ecm10.0 anchor for AI, RA and LB configurations are: All Intra Main 10 Y U V EncT DecT Class A1 -10.55% -21.81% -29.24% 915.8% 439.3% Class A2 -16.68% -28.60% -31.54% 916.2% 458.0% Class B -11.02% -26.58% -24.82% 826.4% 455.0% Class C -11.07% -16.52% -17.06% 898.0% 452.7% Class E -14.59% -24.40% -22.89% 804.1% 467.8% Overall -12.49% -23.52% -24.63% 867.2% 454.4% Class D -9.17% -14.38% -14.35% 851.0%...
ARCHIVE :
JVET-AF0012-v2.docx
Decisions
To review all the related contributions.
Citation
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