Name
Abstract | ||
|---|---|---|
For TRECVID 2004, CMU participated in the semantic feature extraction task, and the manual, interactive and automatic search tasks. For the semantic features classifiers, we tried unimodal, multi-modal and multi-concept classifiers. In interactive search, we compared a visual-only vs a complete video retrieval system using visual AND text data, and also contrasted expert vs novice users; The manual runs were similar to 2003, but they did not work comparably to last year, Additionally, we shared our low-level features with the TRECVID community. |
Year | Venue | Keywords |
|---|---|---|
2004 | TRECVID | feature extraction |
DocType | Citations | PageRank |
Conference | 22 | 2.45 |
References | Authors | |
2 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander G. Hauptmann | 1 | 7472 | 558.23 |
| Y. Chen | 2 | 88 | 12.81 |
| M. Christel | 3 | 41 | 4.93 |
| C. Huang | 4 | 22 | 2.45 |
| W.-H. Lin | 5 | 22 | 2.45 |
| T. Ng | 6 | 65 | 11.94 |
| N. Papernick | 7 | 23 | 3.31 |
| A. Velivelli | 8 | 22 | 2.45 |
| Jie Yang | 9 | 2856 | 270.24 |
| R. Yan | 10 | 31 | 4.74 |
| Cheng-Hong Yang | 11 | 592 | 52.02 |
| H. D. Wactlar | 12 | 73 | 5.53 |