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An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
Download2001
Stehling, Renato, Falcao, Alexandre, Nascimento, Mario
Technical report TR01-03. In this paper, we present a new Content-Based Image Retrieval (CBIR) approach which is based on cluster analysis. A distinguishing aspect of CBIR is that it relies on a visual content representation (metadata) of the images. In order to produce such metadata, we propose...
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2002
Technical report TR02-07. Clustering means grouping similar objects into groups such that objects within a same group bear similarity to each other while objects in different groups are dissimilar to each other. As an important component of data mining, much research on clustering has been...
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2005
Rafiei, Davood, Moise, Daniel, Sun, Dabo
Technical report TR05-16. We present a concise and accurate structural summary of XML documents and show that this summary can be used to effectively cluster documents that belong to a structurally similar class. We present efficient formulations of similarity between structural summaries that...