Image retrieval with graph kernel on regions

  title={Image retrieval with graph kernel on regions},
  author={Justine Lebrun and Sylvie Philipp-Foliguet and Philippe Henri Gosselin},
  journal={2008 19th International Conference on Pattern Recognition},
In the framework of the interactive search in image databases, we are interested in similarity measures able to learn during the search and usable in real-time. Images are represented by adjacency graphs of regions. In order to compare attributed graphs, we employ kernels on graphs built on sets of paths. In this paper, we introduce a fast kernel function whose similarity is based on several matches. We also introduce new features for edges in the graph. Experiments on a specific database… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications referenced by this paper.
Showing 1-7 of 7 references

FReBIR : Fuzzy regionsbased image retrieval

  • S. Philipp-Foliguet, J. Gony
  • In Information Processing and Management of…
  • 2006
Highly Influential
7 Excerpts

Mesurer la similarité de graphes

  • S. Sorlin, O. Sammoud, C. Solnon, J.-M. Jolion
  • Atelier de Extraction et Gestion de Connaissances
  • 2006
2 Excerpts

Jolion . Mesurer la similarité de graphes

  • V. Guigue F. Suard, A. Rakotomamonjy

Similar Papers

Loading similar papers…