Combined neural network-based intra prediction and transform selection

Thierry Dumas; Franck Galpin; Philippe Bordes

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arXiv · 2108.08087

Combined neural network-based intra prediction and transform selection

Thierry Dumas·Franck Galpin·Philippe Bordes

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Abstract

The interactions between different tools added successively to a block-based video codec are critical to its rate-distortion efficiency. In particular, when deep neural network-based intra prediction modes are inserted into a block-based video codec, as the neural network-based prediction function cannot be easily characterized, the adaptation of the transform selection process to the new modes can hardly be performed manually. That is why this paper presents a combined neural network-based intra prediction and transform selection for a block-based video codec. When putting a single neural network-based intra prediction mode and the learned prediction of the selected LFNST pair index into VTM-8.0, -3.71%, -3.17%, and -3.37% of mean BD-rate reduction in all-intra is obtained.

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BibTeX RIS

Thierry Dumas, Franck Galpin, Philippe Bordes. 2021-08-18. Combined neural network-based intra prediction and transform selection. https://arxiv.org/abs/2108.08087

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