Name
Abstract | ||
|---|---|---|
New hierarchical method for detecting and classifying shot boundaries in video sequences using information theoretic classification (ITC) rule is proposed. ITC relies on likelihood of class label transmission of a data point to data points in its vicinity. ITC focuses on maximizing the global transmission of true class labels and classifying the frames into two classes of cuts and non-cuts. Applying the same rule, the non-cut frames are also classified into two categories of arbitrary shot frames and gradual transition frames. The experimental results on different videos show excellent performance in terms of precision and recall. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ISSPA.2007.4555510 | Sharjah |
Keywords | Field | DocType |
image classification,image segmentation,image sequences,video information theoretic classification,video sequences,video shot detection | Kernel (linear algebra),Data point,Computer vision,Pattern recognition,Computer science,Precision and recall,Image segmentation,Feature extraction,Pixel,Artificial intelligence,Statistical classification,Contextual image classification | Conference |
ISBN | Citations | PageRank |
978-1-4244-1779-8 | 0 | 0.34 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahdi Asefi | 1 | 0 | 0.34 |
| Mohamed-Yahia Dabbagh | 2 | 0 | 0.34 |