Name
Abstract | ||
|---|---|---|
This paper discusses a video cut detection method. Cut detection is an important technique for making videos easier to handle. First, this paper analyzes the distribution of the image differenceV to clarify the characteristics that makeV suitable for cut detection. We propose a cut detection method that uses a projection (an isolated sharp peak) detecting filter. A motion sensitiveV is used to stabilizeV projections at cuts, and cuts are detected more reliably with this filter. The method can achieve high detection rates without increasing the rate of misdetection. Experimental results confirm the effectiveness of the filter. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1007/BF01268944 | Multimedia Syst. |
Keywords | Field | DocType |
video handling,cut detec- tion,image processing | Computer vision,Computer science,Image processing,Real-time computing,Artificial intelligence | Journal |
Volume | Issue | ISSN |
1 | 5 | 1432-1882 |
Citations | PageRank | References |
60 | 20.84 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kiyotaka Otsuji | 1 | 130 | 53.89 |
| Yoshinobu Tonomura | 2 | 554 | 149.46 |