Paper Info
Title
A Method for Cut Detection Based on Visual Rhythm
Abstract
The visual rhythm is a simplification of the video content represented by a 2D image, In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video effect is transformed into a different pattern on the visual rhythm. To detect sharp video transitions (cuts) we use topological and morphological tools instead of using a dissimilarity measure. Thus, we propose a method to detect sharp video transitions between two consecutive shots. We present a comparative analysis of our method with respect to some other methods. We also propose a variant of this method to detect the position of flashes in a video.
Year
DOI
Venue
2001
10.1109/SIBGRAPI.2001.963069
SIBGRAPI
Keywords
Field
DocType
rhythm,image segmentation,gray scale,image processing,comparative analysis
Computer vision,Pattern recognition,Computer science,Segmentation,Image processing,Image segmentation,Visual rhythm,Artificial intelligence,Pattern detection,Rhythm,Grayscale,Image sampling
Conference
ISBN
Citations 
PageRank 
0-7695-1330-1
8
0.97
References 
Authors
8
4
Name
Order
Citations
PageRank
Silvio Jamil Ferzoli Guimarães114525.38
Michel Couprie2514.54
Arnaldo de Albuquerque Araújo3493.42
Neucimar Jerônimo Leite441829.45