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Incremental Updating of 3D Topological Maps to Describe Videos

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Combinatorial Image Analysis (IWCIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9448))

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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

  1. 3DTopoMap: Topological 3d image processing software. http://liris.cnrs.fr/guillaume.damiand/carte-topo3D.php?lang=en

  2. 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

    Google Scholar 

  3. 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)

    Google Scholar 

  4. Damiand, G.: Topological model for 3d image representation: definition and incremental extraction algorithm. Comput. Vis. Image Underst. 109(3), 260–289 (2008)

    Article  Google Scholar 

  5. 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)

    Chapter  Google Scholar 

  6. Damiand, G., Lienhardt, P.: Combinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing. A. K. Peters/CRC Press, Boca Raton (2014)

    Book  Google Scholar 

  7. Damiand, G., Resch, P.: Split and merge algorithms defined on topological maps for 3D image segmentation. Graph. Models 65(1–3), 149–167 (2003)

    Article  MATH  Google Scholar 

  8. Dupas, A.: Opérations et Algorithmes pour la Segmentation Topologique d’Images 3D. Thèse de doctorat, Université de Poitiers, Novembre 2009

    Google Scholar 

  9. Gonno, Y., Nishio, F., Haraoka, K., Yamagishi, Y.: Metadata structuring of audiovisual data streams on MPEG-2 system. In: Metastructures, August 1998

    Google Scholar 

  10. Hunter, J., Armstrong, L.: A comparison of schemas for video metadata representation. Comput. Netw. 31(1116), 1431–1451 (1999)

    Article  Google Scholar 

  11. Jain, A.K.: Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs (1989)

    MATH  Google Scholar 

  12. Koprinska, I., Carrato, S.: Temporal video segmentation: asurvey. Signal Process.: Image Commun. 16, 477–500 (2001)

    Google Scholar 

  13. Kastrinaki, V., Zervakis, M., Kalaitzakis, K.: A survey of video processing techniques for traffic applications. Image Vis. Comput. 21, 359–381 (2003)

    Article  Google Scholar 

  14. Lienhardt, P.: N-dimensional generalized combinatorial maps and cellular quasi-manifolds. Int. J. Comput. Geom. Appl. 4(3), 275–324 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  15. Li, X., Zheng, Y.: Patch-based video processing: a variational bayesian approach. IEEE Trans. Circ. Syst. Video Technol. 19(1), 27–40 (2009)

    Article  Google Scholar 

  16. 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)

    Google Scholar 

  17. 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)

    Article  Google Scholar 

  18. Pets 2001 dataset. http://www.cvg.rdg.ac.uk/pets2001/

  19. Rosenfeld, A.: Adjacency in digital pictures. Inf. Control 26(1), 24–33 (1974)

    Article  MATH  MathSciNet  Google Scholar 

  20. Wang, J., Adelson, E.: Representing moving images with layers. IEEE Trans. Image Process. 3(5), 625–638 (1994)

    Article  Google Scholar 

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Acknowledgment

This work has been partially supported by the French National Agency (ANR), project SoLStiCe ANR-13-BS02-0002-01.

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Correspondence to Guillaume Damiand .

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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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  • Print ISBN: 978-3-319-26144-7

  • Online ISBN: 978-3-319-26145-4

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