Abstract
We conceive the problem of multiple semantic video object (SVO) extraction as an issue of designing operators on a complete lattice of partitions. In this paper, we propose a framework based on accurate spatial partition generation and application of optimal extraction operators on the generated partitions. Under the framework, we introduce a spatio-temporal regional maximum likelihood operator for extraction purposes. Some theoretical properties of the operators are established. Experimental results show that our scheme is capable of successfully handling multiple SVOs in a variety of scenarios.
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. J. Black, and A. Jepson. Eigentracking: Robust matching and tracking of articulated objects using a view-based representation. Int. J. of Comp. Vis., 26(1), pp.63–84, 1998
P. Correia, and F. Pereira. The role of analysis in content-based video coding and indexing. Signal Processing, 66(2):125–142, April 1998.
V. Garcia-Garduno. Une approche de compression orientee-objets par suivi de segmentation basee mouvement. Ph.D. dissertation, Universite de Rennes I, France, 1995.
L. Garrido, P. Salembier and D. Garcia. Extensive operators in partition lattices for image sequence analysis. Signal Processing, 66(2):157–180, April 1998.
D. Gatica-Perez, M. T. Sun and C. Gu. Semantic video object extraction based on backward tracking of multivalued watershed. In Proc. of the IEEE ICIP, Kobe, Oct. 1999.
C. Gu. Multivalued Morphology and segmentation based coding. Ph.D. dissertation, LTS-EPFL, http://ltswww.epfl.ch/staff/gu.html, 1995.
C. Gu and M.-C. Lee. Semantic Video Object Tracking Using Region-based Classification. In Proc. of the IEEE ICIP, pp. 643–647, Chicago, Oct. 1998.
H.J.A.M. Heijmans. Morphological Image Operators. Academic Press, 1994.
H.J.A.M. Heijmans. Connected Morphological Operator for Binary Images. Report PNA-R9708, CWI, Amsterdam, April, 1997.
IEEE Transactions on Circ. and Syst. for Video Tech., Special Issue on Segmentation, Description, and Retrieval of Video Content. Vol. 8,No. 5, September 1998.
F. Marques and J. Llach. Tracking of generic objects for video object generation. In Proc. of the IEEE ICIP, pp. 628–632, Chicago, Oct. 1998.
Microsoft Windows Media Player™, in http://www.microsoft.com/windows/windowsmedia/en/default.asp, 1999.
A. Papoulis. Probability, Random Variables and Stochastic Processes. McGraw-Hill, 1993.
J. Serra. Image Analysis and Mathematical Morphology, Vol. II: Theoretical Advances. Academic Press, 1988.
J.C. Simon. Patterns and Operators: the Foundations of Data Representation. North Oxford Academic, 1986.
M. Wollborn and R. Mech. Refined procedure for objective evaluation of video object generation algorithms. Dot. ISO/IEC JTC1/SC29/WG11 M3448, March 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Kluwer Academic/Plenum Publishers
About this chapter
Cite this chapter
Gatica-Perez, D., Sun, MT., Gu, C. (2002). Partition Lattice Operators for Extraction of Semantic Video Objects. In: Goutsias, J., Vincent, L., Bloomberg, D.S. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 18. Springer, Boston, MA. https://doi.org/10.1007/0-306-47025-X_26
Download citation
DOI: https://doi.org/10.1007/0-306-47025-X_26
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-7923-7862-4
Online ISBN: 978-0-306-47025-7
eBook Packages: Springer Book Archive