# Combined neural network-based intra prediction and transform selection

arXiv: https://arxiv.org/abs/2108.08087 · HTML: https://mlsanity.com/paper/2108.08087/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Aug 2021.

## Built on by (most cited first, 1 of 1)

- [Advanced Learning-Based Inter Prediction for Future Video Coding](https://mlsanity.com/paper/2411.15759/) (2024)

## Abstract (arXiv)

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.