Scheduling Aspects for Image Retrieval in Cluster-Based Image Databases
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
An effective multi-dimensional index strategy for cluster architectures
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
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The retrieval of images in remote sensing databases is based on world-oriented information like the location of the scene, the utilised scanner, and the date of acquisition. However, these descriptions are not meaningful for many users who have a limited knowledge about remote sensing but nevertheless have to work with satellite imagery. Therefore a content-based dynamic retrieval technique using a cluster architecture to fulfil the resulting computational requirements is proposed. Initially the satellite images are distributed evenly over the available computing nodes and the retrieval operations are performed simultaneously. The dynamic strategy creates the need for a workload balancing before the sub-results are joined in a final ranking.