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Hypergraph-based image retrieval for graph-based representation

Identifieur interne : 001F16 ( Main/Merge ); précédent : 001F15; suivant : 001F17

Hypergraph-based image retrieval for graph-based representation

Auteurs : Salim Jouili [Belgique] ; Salvatore Tabbone [France]

Source :

RBID : Pascal:12-0273033

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English descriptors

Abstract

In this paper, we introduce a novel method for graph indexing. We propose a hypergraph-based model for graph data sets by allowing cluster overlapping. More precisely, in this representation one graph can be assigned to more than one cluster. Using the concept of the graph median and a given threshold, the proposed algorithm detects automatically the number of classes in the graph database. We consider clusters as hyperedges in our hypergraph model and we index the graph set by the hyperedge centroids. This model is interesting to traverse the data set and efficient to retrieve graphs.

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Pascal:12-0273033

Le document en format XML

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