Hypergraph-based image retrieval for graph-based representation
Identifieur interne : 000117 ( PascalFrancis/Corpus ); précédent : 000116; suivant : 000118Hypergraph-based image retrieval for graph-based representation
Auteurs : Salim Jouili ; Salvatore TabboneSource :
- Pattern recognition [ 0031-3203 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
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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Format Inist (serveur)
NO : | PASCAL 12-0273033 INIST |
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ET : | Hypergraph-based image retrieval for graph-based representation |
AU : | JOUILI (Salim); TABBONE (Salvatore) |
AF : | EURA NOVA, 4 Rue Emile Francqui/1435 Mont-St-Guibert/Belgique (1 aut.); Universite de Lorraine-LORIA UMR 7503, BP 239/54506 Vandoeuvre-lès-Nancy/France (2 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Pattern recognition; ISSN 0031-3203; Coden PTNRA8; Royaume-Uni; Da. 2012; Vol. 45; No. 11; Pp. 4054-4068; Bibl. 41 ref. |
LA : | Anglais |
EA : | 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. |
CC : | 001D04A05C; 001D04A03 |
FD : | Hypergraphe; Recherche image; Théorie graphe; Indexation; Graphe conceptuel; Algorithme; Base de données; Recherche par contenu |
FG : | Recherche information |
ED : | Hypergraph; Image retrieval; Graph theory; Indexing; Conceptual graph; Algorithm; Database; Content based retrieval |
EG : | Information retrieval |
SD : | Hipergráfico; Teoría grafo; Indización; Grafo conceptual; Algoritmo; Base dato; Búsqueda por contenido |
LO : | INIST-15220.354000507994780160 |
ID : | 12-0273033 |
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Pascal:12-0273033Le document en format XML
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