Name
Abstract | ||
|---|---|---|
The authors present an attention-ranking algorithm that measures user interest level for video frames in a way that is similar to how Google's PageRank algorithm determines the importance of Web sites. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/MMUL.2009.97 | IEEE Multimedia |
Keywords | DocType | Volume |
interest level measurement,video frames,interactive attention-ranking system,web site,learning.,pattern recognition,google pagerank algorithm,video search,information retrieval,web site importance,user interest level,interactive attention,attention-ranking algorithm,interactive systems,pagerank algorithm,ranking system,video retrieval,video frame,computational modeling,semantics,feature extraction,context modeling,visualization | Journal | 16 |
Issue | ISSN | Citations |
4 | 1070-986X | 3 |
PageRank | References | Authors |
0.46 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huang-Chia Shih | 1 | 187 | 21.98 |
| Chung-Lin Huang | 2 | 540 | 37.61 |
| Jenq-Neng Hwang | 3 | 1675 | 206.57 |