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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899362
