Name
Abstract | ||
|---|---|---|
Detection of the commercials in TV videos is hard because the diversity of them puts up a rather high barrier to finding an appropriate model. After some studies of existing commercial detection works, we try to deal with this problem through a top-down approach. We select some commercial features by conjecturing the thoughts of both commercial producers and the audiences. By combining the commercial features with a video scene detection mechanism, a two-level commercial detection scheme is proposed. Experiments show the good results of the proposed scheme in detecting commercials in news program videos. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ISCAS.2005.1465655 | ISCAS (5) |
Keywords | Field | DocType |
news program videos,top-down approach,tv commercial detection,feature extraction,video coding,video scene detection mechanism,digital video broadcasting,commercial features,advertising,computer science,detectors,top down,digital tv,top down approach,layout | Video recording,Computer science,Top-down and bottom-up design,Digital recording,Feature extraction,Digital television,Digital Video Broadcasting,Multimedia | Conference |
ISSN | ISBN | Citations |
0271-4302 | 0-7803-8834-8 | 11 |
PageRank | References | Authors |
0.73 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jen-hao Yeh | 1 | 13 | 1.81 |
| Jun-cheng Chen | 2 | 274 | 21.35 |
| Jin-hau Kuo | 3 | 116 | 10.87 |
| Ja-ling Wu | 4 | 1569 | 168.11 |