Name
Abstract | ||
|---|---|---|
Multimedia event detection has been one of the major endeavors in video event analysis. A variety of approaches have been proposed recently to tackle this problem. Among others, using semantic representation has been accredited for its promising performance and desirable ability for human-understandable reasoning. To generate semantic representation, we usually utilize several external image/video... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCYB.2016.2539546 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Semantics,Detectors,Training,Multimedia communication,Event detection,Noise measurement,Streaming media | External image,Noise measurement,Information retrieval,Computer science,TRECVID,Artificial intelligence,Semantic representation,Multimedia,Event analysis,Semantics,Machine learning | Journal |
Volume | Issue | ISSN |
47 | 5 | 2168-2267 |
Citations | PageRank | References |
17 | 0.60 | 27 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaojun Chang | 1 | 1585 | 76.85 |
| Zhigang Ma | 2 | 1412 | 39.85 |
| Yi Yang | 3 | 6873 | 271.72 |
| Zhiqiang Zeng | 4 | 139 | 16.35 |
| Alexander G. Hauptmann | 5 | 7472 | 558.23 |