B-spline active contour with handling of topology changes for fast video segmentation

Authors:
Frederic Precioso;Michel Barlaud
Affiliations:
I3S Laboratoire, UPRES-A CNRS, Université de Nice-Sophia Antipolis, Sophia-Antipolis, France;I3S Laboratoire, UPRES-A CNRS, Université de Nice-Sophia Antipolis, Sophia-Antipolis, France
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2002

Citing 5
Cited 6

An introduction to splines for use in computer graphics & geometric modeling

An introduction to splines for use in computer graphics & geometric modeling
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Geodesic Active Contours

International Journal of Computer Vision
Curves and Surfaces for Computer-Aided Geometric Design: A Practical Code

Curves and Surfaces for Computer-Aided Geometric Design: A Practical Code
DREAM2S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III

Affine-Invariant Geometric Shape Priors for Region-Based Active Contours

IEEE Transactions on Pattern Analysis and Machine Intelligence
Embedded real-time architecture for level-set-based active contours

EURASIP Journal on Applied Signal Processing
Multi-Reference Shape Priors for Active Contours

International Journal of Computer Vision
Bayesian network classification using spline-approximated kernel density estimation

Pattern Recognition Letters
Levelset and b-spline deformable model techniques for image segmentation: a pragmatic comparative study

SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Affine-Invariant multi-reference shape priors for active contours

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper deals with video segmentation for MPEG-4 and MPEG-7 applications. Region-based active contour is a powerful technique for segmentation. However most of these methods are implemented using level sets. Although level-set methods provide accurate segmentation, they suffer from large computational cost. We propose to use a regular B-spline parametric method to provide a fast and accurate segmentation. Our B-spline interpolation is based on a fixed number of points 2j depending on the level of the desired details. Through this spatial multiresolution approach, the computational cost of the segmentation is reduced. We introduce a length penalty. This results in improving both smoothness and accuracy. Then we show some experiments on real-video sequences.