Title :
Coarse-to-fine moving region segmentation in compressed video
Author :
Yue-Meng Chen;Ivan V. Bajic;Parvaneh Saeedi
Author_Institution :
School of Engineering Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
Abstract :
In this paper, we propose a coarse-to-fine segmentation method for extracting moving regions from compressed video. First, motion vectors are clustered to provide a coarse segmentation of moving regions at block level. Second, boundaries between moving regions are identified, and finally, a fine segmentation is performed within boundary regions using edge and color information. Experimental results show that the proposed method can segment moving regions fairly accurately, with sensitivity of 85% or higher, and specificity of over 95%.
Keywords :
"Video compression","Data mining","Image segmentation","Multimedia databases","Decoding","Object segmentation","Motion estimation","Image coding","Image databases","Trajectory"
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2009. WIAMIS ´09. 10th Workshop on
Print_ISBN :
978-1-4244-3609-5
Electronic_ISBN :
2158-5881
DOI :
10.1109/WIAMIS.2009.5031428