Name
Abstract | ||
|---|---|---|
This paper proposes a method of detecting shot transitions by compensating for motions contained in video sequences. The proposed method detects shot transitions including cuts, fades, and dissolves after compensating for global motions (camera motions) and eliminating local motions (moving objects), so that our approach prevents false positives caused by those motions. Experimental results show that our method works as a promising solution. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11540007_136 | FSKD (2) |
Keywords | Field | DocType |
proposed method detects,global motion,false positive,promising solution,method work,shot transition,camera motion,local motion,shot transition detection,video sequence | Computer vision,Pattern recognition,Computer science,Artificial intelligence,Image sequence,False positive paradox | Conference |
Volume | ISSN | ISBN |
3614 | 0302-9743 | 3-540-28331-5 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seok-Woo Jang | 1 | 55 | 12.72 |
| Gye-Young Kim | 2 | 116 | 24.67 |
| Hyung-Il Choi | 3 | 138 | 26.28 |