Search Results for "JVET-L0410"
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JVET-L0410 CE11-related: On deblocking tC table [A. Norkin (Netflix)]
Decision: Adopt JVET-L0410, updated tC table into VVC text & VTM (Track A Wed 10 Oct., 1200, chaired by JRO)
JVET-L1033 Description of Core Experiment 13 (CE13): Coding tools for 360° omnidirectional video [P. Hanhart, J.-L. Lin, C. Pujara]
This CE was planned to study changes to in-loop filters, inter prediction, post-filtering, projection rotations and packings.
Future meeting plans, expressions of thanks, and closing of the meeting
Future meeting plans were established according to the following guidelines:
- Meeting under ITU-T SG 16 auspices when it meets (starting meetings on the Tuesday or Wednesday of the first week and closing it on the Tuesday or Wednesday of the second week of the SG 16 meeting – a total of 6–7.5 meeting days), and
- Otherwise meeting under ISO/IEC JTC 1/SC 29/WG 11 auspices when it meets (starting meetings on the Wednesday or Thursday prior to such meetings and closing it on the last day of the WG 11 meeting – a total of 8.5 meeting days).
In cases where high workload is expected for a meeting, an earlier starting date may be defined.
Some specific future meeting plans (to be confirmed) were established as follows:
- Wed. 9 – Fri. 18 January 2019, 13th meeting under WG 11 auspices in Marrakech, MA.
- Tue. 19 – Wed. 27 March 2019, 14th meeting under ITU-T auspices in Geneva, CH.
- Wed. 3 – Fri. 12 July 2019, 15th meeting under WG 11 auspices in Gothenburg, SE.
- Tue. 1 – Wed. 9 October 2019, 16th meeting under ITU-T auspices in Geneva, CH.
The agreed document deadline for the 13thJVET meeting was planned to be Wednesday 2 January 2019 (a little later than usual due to the proximity of the New Year holiday). Plans for scheduling of agenda items within that meeting...
JVET-L0704 BoG report on Neural Networks for Video Coding [S. Liu, Y. Li]
The BoG on Neural Networks for Video Coding met on 11 October 2018. The BoG discussed several subjects including: training data set and process, software sharing and simulation, neural network structure and complexity analysis, reporting and comparison procedure, etc. The BoG recommended:
- To use the Div2K set as the base training set for all proposals;
- To establish a software branch for neural network coding tools (proposals);
- A template to report neural network structure and complexity;
- To consult with hardware experts about practical complexity criteria;
- To continue discussing related issues in an ad-hoc group.
The BoG outcome was reviewed Fri 12 Oct 0930 (GJS).
It was noted that the Div2K contains only still images (and only 800 of them). Its use was only encouraged in order to ease comparisons if applicable. Contributors may use other data for training, but need to describe what they did.
No particular training platform was selected, but the method should be described, and the amount of time spent on the training should be described.
Among the proposed technologies at this meeting, the training was always something that had been done offline, not as part of the sequence coding/decoding process.
It was clarified that the study is encouraged to include not only proposed normative elements that would affect the decoding process, but also other aspects – e.g., encoder-only processing (for mode decisions, partitioning, etc.) and pre-/post-processing.
There had been some discussion of potential...
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