Remove Noise in Video with 3D Topological Maps

Conte D., Damiand G.

Proc. of 15th International Workshop on Structural and Syntactic Pattern Recognition (SSPR)
Lecture Notes in Computer Science 8621, pages 213-222, August 2014, Joensuu, Finland

Abstract: In this paper we present a new method for foreground masks denoising in videos. Our main idea is to consider videos as 3D images and to deal with regions in these images. Denoising is thus simply achieved by merging foreground regions corresponding to noise with background regions. In this framework, the main question is the definition of a criterion allowing to decide if a region corresponds to noise or not. Thanks to our complete cellular description of 3D images, we can propose an advanced criterion based on Betti numbers, a topological invariant. Our results show the interest of our approach which gives better results than previous methods.

Keywords: Video denoising; 3D Topological Maps; Betti numbers.

BibTex references

@InProceedings{CD14,
      author = {{Conte}, D. and {Damiand}, G.},
      title = {Remove Noise in Video with 3D Topological Maps},
      booktitle = {Proc. of 15th International Workshop on Structural and Syntactic Pattern Recognition (SSPR)},
      series = {Lecture Notes in Computer Science},
      publisher = {Springer International Publishing},
      volume = {8621},
      pages = {213-222},
      month = {August},
      year = {2014},
      address = {Joensuu, Finland},
      keywords = {Video denoising; 3D Topological Maps; Betti numbers.},
      url = {https://doi.org/10.1007/978-3-662-44415-3_22}
}

Guillaume Damiand

Remove Noise in Video with 3D Topological Maps

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BibTex references

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