Name
Abstract | ||
|---|---|---|
The video segmentation problem consists in the identification of the boundary between consecutive shots. The common approach to solve this problem is based on dissimilarity measures between frames. In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video event is transformed into a different pattern on a 2D image, called visual rhythm, obtained by a specific transformation. In our analysis we use topological and morphological tools to detect cuts. Also, we use discrete line analysis and max tree analysis to detect fade transitions and flashes, respectively. We present a comparative analysis of our method for cut detection with respect to some other methods, which shows the better results of our method. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0167-8655(02)00218-0 | Pattern Recognition Letters |
Keywords | Field | DocType |
comparative analysis,image analysis,image segmentation,mathematical morphology | Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Mathematical morphology,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Visual rhythm,Pattern detection,Mathematics | Journal |
Volume | Issue | ISSN |
24 | 7 | 0167-8655 |
Citations | PageRank | References |
35 | 1.58 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvio Jamil Ferzoli Guimarães | 1 | 145 | 25.38 |
| Michel Couprie | 2 | 51 | 4.54 |
| Arnaldo de Albuquerque Araújo | 3 | 49 | 3.42 |
| Neucimar Jerônimo Leite | 4 | 418 | 29.45 |