Due to the huge increase in the amount of digital images available in the "Internet era", making efficient Content Based Image Retrieval (CBIR) systems has become one of the major endeavors. In this paper, the authors study the integration of an automatic generated knowledge base in a CBIR system based on relevance feedback method. An extensive analysis of the database structure has been carried out using fuzzy clustering algorithms to build the knowledge base. This knowledge base is used to make users aware of the overall organization of the image database during the query process. The relevance feedback method has been used to model the cluster structure as well as the correspondence between high-level user concepts and their low-level machine representation by performing retrievals according to multiple queries supplied by the user during the course of a retrieval session. The results presented in this paper demonstrate that this approach provides accurate retrieval results showing acceptable interaction speed that can be compared with existing methods.

A knowledge based approach for a fast image retrieval system / Amato, A.; DI LECCE, Vincenzo. - In: IMAGE AND VISION COMPUTING. - ISSN 0262-8856. - 26:11(2008), pp. 1466-1480. [10.1016/j.imavis.2008.01.005]

A knowledge based approach for a fast image retrieval system

DI LECCE, Vincenzo
2008-01-01

Abstract

Due to the huge increase in the amount of digital images available in the "Internet era", making efficient Content Based Image Retrieval (CBIR) systems has become one of the major endeavors. In this paper, the authors study the integration of an automatic generated knowledge base in a CBIR system based on relevance feedback method. An extensive analysis of the database structure has been carried out using fuzzy clustering algorithms to build the knowledge base. This knowledge base is used to make users aware of the overall organization of the image database during the query process. The relevance feedback method has been used to model the cluster structure as well as the correspondence between high-level user concepts and their low-level machine representation by performing retrievals according to multiple queries supplied by the user during the course of a retrieval session. The results presented in this paper demonstrate that this approach provides accurate retrieval results showing acceptable interaction speed that can be compared with existing methods.
2008
A knowledge based approach for a fast image retrieval system / Amato, A.; DI LECCE, Vincenzo. - In: IMAGE AND VISION COMPUTING. - ISSN 0262-8856. - 26:11(2008), pp. 1466-1480. [10.1016/j.imavis.2008.01.005]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/446
Citazioni
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 6
social impact