From the computational point of view, Content-based Im- age Retrieval systems are potentially expensive and have user response times growing with the ever-increasing sizes of the databases associated to them. This paper presents a grid implementation of a Content-based Image Retrieval system that offers a good cost/performance ratio to solve this problem due to their excellent flexibility, scalability and fault tolerance. This approach allows a dynamic management of specific data- bases that can be incorporated to or removed from the CBIR system in function of the desired user query. Experimental performance results are collected in order to show the feasibility of this solution.


Fault Tolerance Grid Node Query Image Content Base Image Retrieval Virtual Organization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Oscar D. Robles
    • 1
  • José Luis Bosque
    • 1
  • Luis Pastor
    • 1
  • Ángel Rodríguez
    • 2
  1. 1.Dpto. de Arquitectura y Tecnología de ComputadoresCiencias de la Computación e Inteligencia ArtificialMóstoles. MadridSpain
  2. 2.Dpto. de Tecnología FotónicaU. Politécnica de MadridBoadilla del Monte, MadridSpain

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