Name
Abstract | ||
|---|---|---|
In this paper, a new method for detecting shot boundaries in video sequences using a late fusion technique is proposed. The method uses color histogram as the feature, and processes each bin separately for detecting shot boundaries. The decisions from individual bins are combined later for hypothesizing the presence of shot boundaries. The method provides a certain degree of robustness against illumination and camera/object motion, as it ignores small changes in the bins. While the early fusion techniques rely on the extent of change in color information, the proposed technique relies on the number of significant changes. Experimental results successfully validate the new method and show that it can effectively detect both abrupt and gradual transitions. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICMLA.2008.88 | ICMLA |
Keywords | Field | DocType |
shotboundarydetection,late fusion technique,videosegmentation,video shot segmentation,color histogram,gradual transition,early fusion,shot boundary,color information,late fusion,video content analysis.,proposed technique,certain degree,new method,early fusion technique,color,feature vector,feature extraction,robustness,histograms,image segmentation,image fusion | Object detection,Computer vision,Histogram,Feature vector,Color histogram,Pattern recognition,Image fusion,Computer science,Feature extraction,Image segmentation,Video content analysis,Artificial intelligence | Conference |
Citations | PageRank | References |
3 | 0.39 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Krishna Mohan | 1 | 124 | 17.83 |
| N. Dhananjaya | 2 | 63 | 5.49 |
| B. Yegnanarayana | 3 | 2244 | 201.33 |