Latent Mixture Vocabularies for Object Categorization
- 1 January 2006
- proceedings article
- Published by British Machine Vision Association and Society for Pattern Recognition
- p. 98.1-98.10
- https://doi.org/10.5244/c.20.98
Abstract
The visual vocabularyis an intermediate level representation which has been proven to be very powerful for addressing object categorization problems. It is generally built by vector quantizing a set of local image descriptors, in- dependently of the object model used for categorizing images. We propose here to embed the visual vocabulary creation within the object model con- struction, allowing to make it more suited for object class discrimination. We experimentally show that the proposed model outperforms approaches not learning such an adapted visual vocabulary.Keywords
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