Name
Abstract | ||
|---|---|---|
It is a very well-known fact, that the high complexity of the High Efficiency Video Coding standard (HEVC) is the main hurdle for its wide deployment and use. To tackle this problem, a number of recent research outcomes exploit heuristic algorithms and machine learning, including deep learning, to reduce the coding complexity. However, in most cases, each encoder module, i.e., encoding process, is... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSVT.2021.3053635 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Acceleration,Complexity theory,Encoding,Heuristic algorithms,Prediction algorithms,Partitioning algorithms,Machine learning algorithms | Journal | 31 |
Issue | ISSN | Citations |
11 | 1051-8215 | 1 |
PageRank | References | Authors |
0.63 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Huang | 1 | 3 | 3.03 |
| Li Song | 2 | 323 | 65.87 |
| Rong Xie | 3 | 59 | 34.58 |
| ebroul izquierdo | 4 | 1050 | 148.03 |
| Wenjun Zhang | 5 | 1789 | 177.28 |