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Exploration Experiments on Neural Network-based Video Coding (EE1)
Abstract
This document summarizes Exploration Experiment 1 (EE1) tests to be performed between the JVET-AE and JVET-AF meetings to evaluate Neural Network-based Video Coding (NNVC) technologies, analyze their performances and complexity aspects.
JVET-AE2023 Exploration experiment on neural network-based video coding (EE1) [E. Alshina, F. Galpin, Y. Li, D. Rusanovskyy, M. Santamaria, J. Ström, L. Wang, Z. Xie] [WG 5 N 230] (2023-08-11)
An initial draft of this document was reviewed and approved at 1200-1210 on Tuesday 18 July.
Categories are:
- Unified LOP
- Architectural changes of HOP
- Filter usage aspects of LOP and HOP
- Additional models for HOP (e.g., temporal filter)
- Inter prediction
JVET-AE2023 Exploration experiment on neural network-based video coding (EE1) [E. Alshina, F. Galpin, Y. Li, D. Rusanovskyy, M. Santamaria, J. Ström, L. Wang, Z. Xie] [WG 5 N 230] (2023-08-11)
An initial draft of this document was reviewed and approved at 1200-1210 on Tuesday 18 July.
Categories are:
Unified LOP
Architectural changes of HOP
Filter usage aspects of LOP and HOP
Additional models for HOP (e.g., temporal filter)
Inter prediction
Decisions
JVET-AE2023 Exploration experiment on neural network-based video coding (EE1)
Inter prediction
Citation