Name
Abstract | ||
|---|---|---|
The interactions between different tools added successively to a block-based video codec are critical to its ratedistortion 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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/PCS50896.2021.9477455 | 2021 Picture Coding Symposium (PCS) |
Keywords | DocType | ISSN |
Transform signaling,intra prediction,neural networks,Versatile Video Coding | Conference | 2330-7935 |
ISBN | Citations | PageRank |
978-1-6654-3078-4 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thierry Dumas | 1 | 5 | 1.49 |
| Galpin Franck | 2 | 0 | 1.69 |
| Philippe Bordes | 3 | 0 | 0.34 |