Name
Title | ||
|---|---|---|
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features. |
Abstract | ||
|---|---|---|
Automatically generating a summary of a sports video poses the challenge of detecting interesting moments, or highlights, of a game. Traditional sports video summarization methods leverage editing conventions of broadcast sports video that facilitate the extraction of high-level semantics. However, user-generated videos are not edited and, thus, traditional methods are not suitable to generate a s... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMM.2018.2794265 | IEEE Transactions on Multimedia |
Keywords | DocType | Volume |
Feature extraction,Semantics,Games,Three-dimensional displays,Cameras,Hidden Markov models | Journal | 20 |
Issue | ISSN | Citations |
8 | 1520-9210 | 3 |
PageRank | References | Authors |
0.37 | 38 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Tejero-de-Pablos | 1 | 11 | 3.64 |
| Yuta Nakashima | 2 | 151 | 29.44 |
| Tomokazu Sato | 3 | 244 | 33.13 |
| Naokazu Yokoya | 4 | 1264 | 190.13 |
| Marko Linna | 5 | 3 | 0.71 |
| Esa Rahtu | 6 | 832 | 52.76 |