Name
Abstract | ||
|---|---|---|
In this paper we describe methods for video summarization in the context of the TRECVID 2008 BBC Rushes Summarization task. Color, motion, and audio features are used to segment, filter, and cluster the video. We experiment with varying the segment similarity measure to improve the joint clustering of segments with and without camera motion. Compared to our previous effort for TRECVID 2007 we have reduced the complexity of the summarization process as well as the visual complexity of the summaries themselves. We find our objective (inclusion) performance to be competitive with systems exhibiting similar subjective performance. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1463563.1463573 | TVS |
Keywords | Field | DocType |
segment similarity measure,video summarization,joint clustering,summarization process,bbc rushes summarization task,audio feature,visual complexity,similar subjective performance,camera motion,previous effort,segmentation,clustering | Automatic summarization,Computer vision,Visual complexity,Pattern recognition,Similarity measure,TRECVID,Segmentation,Computer science,Artificial intelligence,Cluster analysis | Conference |
Citations | PageRank | References |
4 | 0.46 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francine Chen | 1 | 1218 | 153.96 |
| John Adcock | 2 | 212 | 21.30 |
| Matthew Cooper | 3 | 798 | 76.01 |