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IMCSIT
2010

Hierarchical Object Categorization with Automatic Feature Selection

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Hierarchical Object Categorization with Automatic Feature Selection
In this paper, we have introduced a hierarchical object categorization method with automatic feature selection. A hierarchy obtained by natural similarities and properties is learnt by automatically selected features at different levels. The categorization is a top-down process yielding multiple labels for a test object. We have tested out method and compared the experimental results with that of a nonhierarchical method. It is found that the hierarchical method improves recognition performance at the level of basic classes and reduces error at a higher level. This makes the proposed method plausible for different applications of computer vision including object categorization, semantic image retrieval, and automatic image annotation.
Md. Saiful Islam, Andrzej Sluzek
Added 18 May 2011
Updated 18 May 2011
Type Journal
Year 2010
Where IMCSIT
Authors Md. Saiful Islam, Andrzej Sluzek
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