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 :
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