Abstract
A topological map is an efficient mathematical model for representing an image subdivision where all cells and adjacency relations between elements are represented. It has been proved to be a very good tool for video processing when video is seen as a 3D image. However the construction of a topological map for representing a video needs the availability of the complete image sequence. In this paper we propose a procedure for online updating a topological map in order to build it as the video is produced, allowing to use it in real time.
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References
3DTopoMap: Topological 3d image processing software. http://liris.cnrs.fr/guillaume.damiand/carte-topo3D.php?lang=en
Bertrand, Y., Damiand, G., Fiorio, C.: Topological map: minimal encoding of 3D segmented images. In: Proceedings of International Workshop on Graph-Based Representations in Pattern Recognition, pp. 64–73, Ischia, Italy, May 2001
Conte, D., Damiand, G.: Remove noise in video with 3D topological maps. In: Fränti, P., Brown, G., Loog, M., Escolano, F., Pelillo, M. (eds.) S+SSPR 2014. LNCS, vol. 8621, pp. 213–222. Springer, Heidelberg (2014)
Damiand, G.: Topological model for 3d image representation: definition and incremental extraction algorithm. Comput. Vis. Image Underst. 109(3), 260–289 (2008)
Dupas, A., Damiand, G.: First results for 3D image segmentation with topological map. In: Coeurjolly, D., Sivignon, I., Tougne, L., Dupont, F. (eds.) DGCI 2008. LNCS, vol. 4992, pp. 507–518. Springer, Heidelberg (2008)
Damiand, G., Lienhardt, P.: Combinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing. A. K. Peters/CRC Press, Boca Raton (2014)
Damiand, G., Resch, P.: Split and merge algorithms defined on topological maps for 3D image segmentation. Graph. Models 65(1–3), 149–167 (2003)
Dupas, A.: Opérations et Algorithmes pour la Segmentation Topologique d’Images 3D. Thèse de doctorat, Université de Poitiers, Novembre 2009
Gonno, Y., Nishio, F., Haraoka, K., Yamagishi, Y.: Metadata structuring of audiovisual data streams on MPEG-2 system. In: Metastructures, August 1998
Hunter, J., Armstrong, L.: A comparison of schemas for video metadata representation. Comput. Netw. 31(1116), 1431–1451 (1999)
Jain, A.K.: Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs (1989)
Koprinska, I., Carrato, S.: Temporal video segmentation: asurvey. Signal Process.: Image Commun. 16, 477–500 (2001)
Kastrinaki, V., Zervakis, M., Kalaitzakis, K.: A survey of video processing techniques for traffic applications. Image Vis. Comput. 21, 359–381 (2003)
Lienhardt, P.: N-dimensional generalized combinatorial maps and cellular quasi-manifolds. Int. J. Comput. Geom. Appl. 4(3), 275–324 (1994)
Li, X., Zheng, Y.: Patch-based video processing: a variational bayesian approach. IEEE Trans. Circ. Syst. Video Technol. 19(1), 27–40 (2009)
Maugey, T., Ortega, A., Frossard, P.: Graph-based representation and coding of multiview geometry. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1325–1329 (2013)
Ngo, C.W., Ma, Y.F., Zhang, H.J.: Video summarization and scene detection by graph modeling. IEEE Trans. Circ. Syst. Video Technol. 15, 296–305 (2005)
Pets 2001 dataset. http://www.cvg.rdg.ac.uk/pets2001/
Rosenfeld, A.: Adjacency in digital pictures. Inf. Control 26(1), 24–33 (1974)
Wang, J., Adelson, E.: Representing moving images with layers. IEEE Trans. Image Process. 3(5), 625–638 (1994)
Acknowledgment
This work has been partially supported by the French National Agency (ANR), project SoLStiCe ANR-13-BS02-0002-01.
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Damiand, G., Brandel, S., Conte, D. (2015). Incremental Updating of 3D Topological Maps to Describe Videos. In: Barneva, R., Bhattacharya, B., Brimkov, V. (eds) Combinatorial Image Analysis. IWCIA 2015. Lecture Notes in Computer Science(), vol 9448. Springer, Cham. https://doi.org/10.1007/978-3-319-26145-4_22
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DOI: https://doi.org/10.1007/978-3-319-26145-4_22
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