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- 3Metadata
- 1Audio Archives
- 1Content-based image retrieval
- 1Database Systems
- 1Digital Libraries
- 1Falcao, Alexandre
- 1Gow, Gordon (Supervisor)
- 1Huck, John
- 1Moise, Daniel
- 1Nascimento, Mario
- 1Pokharel, Om M.
- 3Computing Science, Department of
- 3Computing Science, Department of/Technical Reports (Computing Science)
- 1ERA General Collection
- 1ERA General Collection/Research Materials (ERA General)
- 1Communications and Technology Graduate Program
- 1Communications and Technology Graduate Program/Capping Projects (Communications and Technology)
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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
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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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2010-03-01
This research project asks whether audio material in online digital collections might have specialized descriptive metadata requirements, and, if so, what they might be. To answer these questions, an overview of current practice was undertaken. Eighteen audio-oriented online collections were...
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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...