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