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In this paper, we present a system for image retrieval over a network of computer based on "ant-like" mobile-agents. Image databases are hosted on the network, and the user wants to find all the images matching a specific concept (cars, flower, Italy, etc...). Usually, content based image retrieval systems (CBIR) do not consider the dispertion of the data among the network. We train a SVM...
Information retrieval techniques have to face both the growing amount of data to be processed and the "natural"' distribution of these data over the network. Hence, we introduce in this paper a new architecture for image retrieval in distributed image databases, based on multi-agent, systems. Our system, inspired by "ant-agents", uses labels provided by the user for learning both...
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