A Prototype for a Distributed Image Retrieval System

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2110)


This paper gives an overview over different techniques necessary for the realisation of distributed image retrieval systems by considering a running prototype Cairo as an example. Cairo uses the performance capabilities of a cluster architecture for the realisation of a highquality, object-based image analysis and search. Integrated scheduling algorithms balance the workload over the available nodes and minimise the communication within the cluster.


Image Retrieval Query Image Computing Node Master Node Cluster Node 
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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  1. 1.
    J.P. Eakins, M. Graham. Content-based image retrieval. Technical Report JTAP-039, University of Northumbria at Newcastle, October 1999.Google Scholar
  2. 2.
    G.F. Pfister. In Search of Clusters. Prentice Hall, 2.edition, 1998.Google Scholar
  3. 3.
    D.F. Savarese, T. Sterling. Beowulf. High Performance Cluster Computing-Architecturesand Systems, pp 625–645, Prentice Hall, 1999.Google Scholar
  4. 4.
    Parallel Virtual Mashine:
  5. 5.
    Massage Passing Interface:
  6. 6.
    O. Kao, G. Steinert, F. Drews. Scheduling Aspects for Image Retrieval in Cluster-Based Image Databases. Proceedings of the IEEE/ACM Symposium on Cluster Computing (CCGrid 2001), to be published.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  1. 1.Department of Computer ScienceTechnical University of ClausthalClausthal-ZellerfeldGermany

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