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MMM
2005
Springer

Image Mining and Retrieval Using Hierarchical Support Vector Machines

9 years 4 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been lacking in image retrieval approaches is the development of general methods for more structured object recognition. This paper describes in detail a general hierarchical image classifier approach, and illustrates the ease with which it can be trained to find objects in a scene. To further illustrate the wide capabilities of this approach, results from its application to particle picking in biology and Vietnamese art image retrieval are listed.
Ross Brown, Binh Pham
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where MMM
Authors Ross Brown, Binh Pham
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