Abstract
In this paper, we present a scheme for interactive video segmentation. A key feature of the system is the distinction between two levels of segmentation, namely Regions and Object Segmentation. Regions are homogeneous areas of the images, which are extracted automatically by the computer. Semantically meaningful objects are obtained through user interaction by grouping of regions, according to the specific application. This splitting relieves the computer of ill-posed semantic problems, and allows a higher level of flexibility of the method. The extraction of regions is based on the multidimensional analysis of several image features by a spatially constrained Fuzzy C-Means algorithm. The local level of reliability of the different features is taken into account in order to adapti-vely weight the contribution of each feature to the segmentation process. Results about the extraction of regions as well as about the tracking of spatio-temporal objects are presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. Kunt, A. Ikonomopoulos, and M. Kocher. “Second generation image coding techniques”. Proceedings of the IEEE, Vol. 73, No. 4, pp. 549–575, April 1985.
Ed. Chalom and V. M. Bove. “Segmentation of an image sequence using multidimensional image attributes”. In Proceedings of the International Conference on Image Processing ICIP, Vol. 2, pp. 525–528, Lausanne, Switzerland, September 1996.
B. Lucas and T. Kanade. “An iterative image registration technique with an application to stereo vision”. In Proceedings of DARPA Image Understanding Workshop, pp. 121–130, 1981.
E.P. Simoncelli, E.H. Adelson, and D.J. Heeger. “Probability distribution of optical flow”. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 310–315, Maui, Hawaai, 1991.
R. Castagno and A. Sodomaco. “Estimation of image feature reliability for an interactive video segmentation scheme”. In Proceedings of the International Conference on Image Processing ICIP, Chicago, Illinois, USA, October 1998. To be published.
J.C. Dunn. “A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters”. J. of Cybernetics, Vol. 3, pp. 32–57, 1974.
J.C. Bezdek. Pattern Recognition with Fuzzy Objective Function Algorithm. Plenum Press, New York and London, 1981.
Ph. Schroeter. Unsupervised Two-Dimensional and Three-Dimensional Image Segmentation. PhD thesis, Swiss Federal Institute of Technology, Lausanne, Switzerland, 1996.
R. Castagno, T. Ebrahimi, and M. Kunt. “Video segmentation based on multiple features for interactive multimedia applications”. IEEE Transactions on Circuits and Systems for Video Technology, Special Issue on Image and Video Processing for Emerging Interactive Multimedia Services, September 1998. To be published.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag London Limited
About this paper
Cite this paper
Castagno, R. (1998). Interactive Object Extraction from Video Sequences for Multimedia Applications Based on Multiple Features. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_20
Download citation
DOI: https://doi.org/10.1007/978-1-4471-1597-7_20
Publisher Name: Springer, London
Print ISBN: 978-3-540-76258-4
Online ISBN: 978-1-4471-1597-7
eBook Packages: Springer Book Archive