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ICPR
2008
IEEE

Image retrieval with graph kernel on regions

12 years 2 months ago
Image retrieval with graph kernel on regions
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 fuzzy 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 having objects with heterogeneous backgrounds show the performance of our object retrieval technique.
Justine Lebrun, Sylvie Philipp-Foliguet, Philippe
Added 05 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Justine Lebrun, Sylvie Philipp-Foliguet, Philippe Henri Gosselin
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