Name
Abstract | ||
|---|---|---|
Video frame interpolation aims at synthesizing intermediate frames from nearby source frames while maintaining spatial and temporal consistencies. The existing deep-learning-based video frame interpolation methods can be roughly divided into two categories: flow-based methods and kernel-based methods. The performance of flow-based methods is often jeopardized by the inaccuracy of flow map estimati... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMM.2021.3052419 | IEEE Transactions on Multimedia |
Keywords | DocType | Volume |
Convolution,Interpolation,Kernel,Shape,Streaming media,Estimation,Task analysis | Journal | 24 |
ISSN | Citations | PageRank |
1520-9210 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhihao Shi | 1 | 1 | 0.70 |
| Xiaohong Liu | 2 | 11 | 4.33 |
| Kangdi Shi | 3 | 0 | 0.34 |
| Linhui Dai | 4 | 0 | 0.68 |
| Jun Chen | 5 | 4 | 1.76 |