Name
Abstract | ||
|---|---|---|
This paper discusses in detail our approaches for producing the submitted summaries to TRECVID, including the two baseline methods. The cluster method performed well in terms of coverage, and adequately in terms of user satisfaction, but did take longer to review. We conducted additional evaluations using the same TRECVID assessment interface to judge 2 additional methods for summary generation: 25x (simple speed-up by 25 times), and pz (emphasizing pans and zooms). Human assessors show significant differences between the cluster, pz, and 25x approaches. The best coverage (text inclusion performance) is obtained by 25x, but at the expense of taking the most time to evaluate and perceived as the most redundant. Method pz was easier to use than cluster and had better performance on pan/zoom recall tasks, leading into discussions on how summaries can be improved with more knowledge of the anticipated users and tasks. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1290031.1290034 | TVS |
Keywords | Field | DocType |
text inclusion performance,simple speed-up,additional method,anticipated user,additional evaluation,method pz,better performance,clever clustering,best coverage,trecvid assessment interface,cluster method | Data mining,Information retrieval,TRECVID,Computer science,Zoom,Cluster analysis,User studies,Recall,Speedup | Conference |
Citations | PageRank | References |
27 | 1.30 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander G. Hauptmann | 1 | 7472 | 558.23 |
| Michael G. Christel | 2 | 1170 | 157.47 |
| Wei-hao Lin | 3 | 679 | 41.81 |
| Bryan Maher | 4 | 49 | 4.76 |
| Jun Yang | 5 | 937 | 37.42 |
| Robert V. Baron | 6 | 605 | 221.60 |
| Guang Xiang | 7 | 382 | 18.31 |