DocumentCode :
1683671
Title :
Three-dimensional video segmentation using a variational method
Author :
Parker, Brian ; Magarey, Julian
Author_Institution :
Canon Inf. Syst. Res., North Ryde, NSW, Australia
Volume :
2
fYear :
2001
Firstpage :
765
Abstract :
Spatio-temporal segmentation of streaming video is performed using a novel 3D extension of a 2D Mumford-Shah region-merging segmentation algorithm. By treating the video segmentation problem as a pure 3D segmentation problem, the algorithm can provide both intra-frame segmentation and interframe region correspondences in a single, unified framework. The Mumford-Shah functional formulation leads to improved segmentation results compared to existing approaches, and its theoretical foundations allow a simple graph-based implementation and elegant solutions to some important subproblems
Keywords :
graph theory; image segmentation; object detection; tracking; variational techniques; video signal processing; 2D Mumford-Shah region-merging segmentation algorithm; 3D video segmentation; graph-based implementation; interframe region correspondence; intra-frame segmentation; object tracking; spatio-temporal segmentation; streaming video; three-dimensional video segmentation; variational method; Approximation error; Australia; Data structures; Error correction; Image segmentation; Information systems; Merging; Pixel; Streaming media; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.958606
Filename :
958606
Link To Document :
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