DocumentCode
318344
Title
Feature-based hierarchical video segmentation
Author
Yu, H. ; Bozdagi, G. ; Harrington, S.
Author_Institution
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Volume
2
fYear
1997
fDate
26-29 Oct 1997
Firstpage
498
Abstract
This paper describes a feature based, two-pass algorithm for scene break detection in video sequences. In the first pass, the camera cuts are detected on the low resolution video using histogram comparison. The gradual changes are then detected on the high resolution video based on the editing characteristics. Experimental results indicate that the proposed discontinuous cut, dissolve and fade detection method is both computationally low and robust to local changes within the sequences
Keywords
feature extraction; image resolution; image sequences; video signal processing; camera cuts detection; discontinuous cut; dissolve; editing characteristics; experimental results; fade detection method; feature-based hierarchical video segmentation; high resolution video; histogram comparison; low resolution video; scene break detection; two-pass algorithm; video sequences; Cameras; Change detection algorithms; Heat engines; Histograms; Image edge detection; Image resolution; Layout; Robustness; Video compression; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.638817
Filename
638817
Link To Document