Sciweavers

Share
ECCV
2006
Springer

Adapted Vocabularies for Generic Visual Categorization

9 years 9 months ago
Adapted Vocabularies for Generic Visual Categorization
Several state-of-the-art Generic Visual Categorization (GVC) systems are built around a vocabulary of visual terms and characterize images with one histogram of visual word counts. We propose a novel and practical approach to GVC based on a universal vocabulary, which describes the content of all the considered classes of images, and class vocabularies obtained through the adaptation of the universal vocabulary using class-specific data. An image is characterized by a set of histograms - one per class - where each histogram describes whether the image content is best modeled by the universal vocabulary or the corresponding class vocabulary. It is shown experimentally on three very different databases that this novel representation outperforms those approaches which characterize an image with a single histogram.
Florent Perronnin, Christopher R. Dance, Gabriela
Added 16 Oct 2009
Updated 16 Oct 2009
Type Conference
Year 2006
Where ECCV
Authors Florent Perronnin, Christopher R. Dance, Gabriela Csurka, Marco Bressan
Comments (0)
books