DocumentCode
1740829
Title
Spatio-temporal joint probability images for video segmentation
Author
Li, Ze-Nian ; Wei, Jie
Author_Institution
Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Volume
2
fYear
2000
fDate
10-13 Sept. 2000
Firstpage
295
Abstract
In this paper we propose a novel video segmentation algorithm that is capable of reliably detecting both types of dissolves in addition to cuts and wipes based on the analysis of the spatio-temporal behavior of joint probability images (JPIs). Experimental results for identifying scene transitions in various video clips that contain moderate and significant amounts of movements are demonstrated.
Keywords
image colour analysis; image segmentation; probability; video signal processing; chrominance images; cuts detection; dissolves detection; luminance images; scene transitions identification; spatio-temporal joint probability images; video clips; video segmentation algorithm; wipes detection; Change detection algorithms; Cities and towns; Computer science; Educational institutions; Histograms; Image edge detection; Image segmentation; Indexing; Layout; Motion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC, Canada
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899362
Filename
899362
Link To Document