JVET-AM0325 AHG18: BD-PSNR as alternative evaluation metric for ultra-low latency test scenario [M. Sychev, K. Malyshev, S Ikonin, E. Alshina (Huawei)] [late]

This informational proposal provides an example of usage Bjontegaard (BD-PSNR) metric for ultra-low latency (ULL) test scenario investigated by AhG18 and test conditions proposed in JVET-AL0176. The BD-PSNR results comply with observed quality improvement for results obtained in ULL evaluation. Documents demonstrate the behavior of BD-PSNR and BD-rate for some corner cases.

Some test successfully passing video through the channel without freezes which leads to horizontal curves with similar value which is critical for BD-Rate calculation due to vertical integration, but BD-PSNR succeed in all of such cases. This allows to avoid “#VALUE” in excel tables and to obtain average single number of obtained results.

For further study in AHG – see notes under JVET-AM0109 and JVET-AM0202.

CICP (2)

Contributions in this area were discussed during 1815–1900 on Monday 30 June 2025, and during 1215–1300 and 1450-1520 on Wednesday 2 July 2025 (chaired by JRO).

JVET-AM0195 AhG18: Gradual Decoding Refresh (GDR) under ultra low latency test scenario [M. Sychev, A. Dzugaev, S. Ikonin, E. Alshina (Huawei)]

This informational proposal provides the results and analysis of Gradual Decoding Refresh technology under ultra-low latency (ULL) test scenario investigated by AhG18. The BD-PSNR results demonstrate a performance of this technique under ULL test conditions: 1.63 dB increase on average for classes A & B at same latency restrictions. Freezing time is decreased by 10% on average for classes A & B. As a supplementary result by request during AhG18 discussions the GDR combined with Scalable (SGDR) solution was evaluated demonstrating synergy effect of efficiency. SGDR further improves the quality under ULL scenario up to 4.44 dB of average performance increase in respect to single layer VTM and freezing time was decreased by 26%. Demo videos solution are provided in the same conditions.

Decision(SW/BF): Include bug fix in GDR encoder to AHG branch (not relevant for main VTM branch).

JVET-AP0297 Travel information for the 157th MPEG meeting (January 2027) in Brisbane, Australia [J. Gan (AUNB)]

The agreed document deadline for the 43^rd JVET meeting was planned to be Tuesday 30 June 2026.

VABTech and RWTH Aachen University were thanked for conducting the verification tests in the context of VVC dual-layer spatial scalability. Philippe de Lagrange and Olena Chubach were thanked for preparing encoding software and bitstreams. InterDigital, MediaTek and Nokia were thanked for financially sponsoring the tests.

JPEG was thanked for providing training material that could be used in investigations on learned compression technology and in the development of video coding standards.

Huawei and Xiaomi were thanked for offering test material that could be used in the development of video coding standards.

LfB of RWTH Aachen University and Mathias Wien were thanked for the excellent hosting of the JVET AHG17 meeting held during 25-27 February in Aachen, DE, and for providing all necessary technical facilities.

KCM was thanked for providing 4K displays used in the viewing for CfP preparation. Fraunhofer HHI and RWTH Aachen University were thanked for providing play-out and testing equipment. Mathias Wien was thanked for organizing and supervising the test. Janko Calic, Christian Lehmann and Philippe de Lagrange were thanked for helping with the test setup and providing assistance in preparing and conducting the viewing. The numerous experts who volunteered to participate in the viewing were also thanked.

Marius Preda was thanked for his great support in maintaining...