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Conference Paper
Training Methods Considering Block Partitioning for Neural Networks-Based Intra Prediction
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- Authors
- Dohyeon Park, Gi-Hwa Moon, Sung-Chang Lim, Jae-Gon Kim
- Issue Date
- 2023-01
- Citation
- International Workshop on Advanced Image Technology (IWAIT) 2023, pp.111-111
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents methods of Neural Network (NN) training reflecting block partitioning for Matrix-based Intra Prediction (MIP)-based intra prediction. A training method using a dataset considering coding block partitioning leads to a NN-based predictor that is more suitable for a legacy block-based video codec compared to a training method that does not consider block partitioning. In addition, training using block partitioning of actual video encoding allows better intra prediction than the training method considering block partitioning in the training process.
- KSP Keywords
- Intra prediction, Video Codec, block partitioning, neural network, training method, training process, video encoding