Search Results for "ULL"
Found 40 document(s)
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JVET-AP0200 AHG18: Random Access GOP4 Configuration for Live-streaming Applications evaluated in ULL test conditions [S. Ikonin, I. Gribushin, M. Sychev, K. Malyshev, V. Khamidullin, B. Shevchenko, X. Ma, E. Alshina (Huawei), Z. Deng (Bytedance)]
This contribution reports evaluation results of random access GOP4 configuration suggested by contribution JVET-AM0238 in low latency scenario. Under ULL test conditions described in JVET-AN2039 with latency restriction modified to the range of 70 to 130 ms it was observed that temporal layer 0 is delivered in most of the cases confirming the benefits of temporal scalability in low latency scenario. At the same time temporal layers 1 and 2 are often missed due to network transmission issues leading to instant FPS drop clearly noticeable during video playback. The ULL CfE response published as contribution JVET-AN0080 was also evaluated in the same conditions, and at QP22 demonstrated 2.1 dB of average Y-PSNR improvement, and 28% to 16% of freeze ratio reduction for transmission priority channel, and 0.8 dB average Y-PSNR improvement and 31% to 27% freeze ratio reduction on a channel without transmission priorities, with 1.9% BD-Rate overhead of Y-PSNR. The modifications required for evaluation of RA configuration on top of AHG18 simulation software are also described.
It was agreed to include this as an option for further study into the AHG software.
It was commented that this is not “ultra” low latency, unlike the other scenarios/configurations investigated so far, but a higher variety of cases is probably welcome.
JVET-AO0072 AHG17/AHG18: On ULL evaluation metrics toward CfP [T. Chujoh, Y. Kidani, K. Kawamura (KDDI)]
This contribution reviews the framework for low-latency techniques in previous international video coding standards and discusses evaluation metrics about video coding delay. The purpose of this contribution is to help discussions regarding the testing conditions on ultra-low latency (ULL) in the call for proposals (CfP) on video compression with capability beyond VVC.
It was agreed that requesting such information in CfP submissions would be useful. It was however pointed out that HRD concepts might not apply to some algorithms, or might be wrongly interpreted.
When coded bits per picture are known, many other of the metrics can be determined.
It was asked how different proposals would be compared in terms of the reported metrics? The initial seems to unveil at least the worst case of delay, and if it is exceedingly high.
It was commented that, in the current view of AHG18, processing time for encoding and decoding is not considered.
AHG19: Hardware implementation complexity (4)
Contributions in this area were discussed during 1650–1730 UTC on Friday 16 Jan. 2026 (chaired by JRO).
JVET-AO0147, JVET-AO0247, JVET-AO0249, and JVET-AO0286 are related on aspects of AI hardware complexity.
JVET-AO0048 AHG18: Description of the software related to ULL CfE response JVET-AN0080 [V. Khamidullin, K. Malyshev, A. Dzugaev, I. Gribushin, M. Sychev, X. Ma, S. Ikonin, E. Alshina (Huawei)]
This contribution describes the software related to the document JVET-AN0080 “AHG18: CfE response in additional functionality on ultra-low latency and packet loss resilience” presented and evaluated at 40th JVET meeting. The software contains further modifications on top of previously disclosed in contribution JVET-AN0045. The software is available as branch in AhG18 repository, named ‘jvet-an0080’: https://vcgit.hhi.fraunhofer.de/jvet-ahg-ull/VVCSoftware_VTM/-/tree/jvet-an008. The software implements the coding technology beyond VVC that supports packet loss resilient functionality in ultra-low latency video communication scenario. The technology re-uses concept of data partitioning of H.263/4, which separates prediction and residual information to different sub-streams. Additionally, entropy coding of residual coefficients is performed using multiple independent entropy coded chunks. The error mask is derived based on lost chunks indication, and further propagated following intra- and inter prediction from erroneous blocks. An error cancellation technique including NN-based loss aware filter (LAF), implemented using SADL library, is further applied to reduce subjective impact of reconstruction errors caused by missed residual information. The software was evaluated according to ULL CTC JVET-AN2039. In best preforming configuration with transmission priorities the simulation results...