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Conference Papers Year : 2011

Bio-Inspired Bags-of-Features for Image Classification

Abstract

The challenge of image classification is based on two key elements: the image representation and the algorithm of classification. In this paper, we revisited the topic of image representation. Classical descriptors such as Bag-of-Features are usually based on SIFT. We propose here an alternative based on bio-inspired features. This approach is inspired by a model of the retina which acts as an image filter to detect local contrasts. We show the promising results that we obtained in natural scenes classification with the proposed bio-inspired image representation.
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Dates and versions

hal-00845745 , version 1 (17-07-2013)

Identifiers

  • HAL Id : hal-00845745 , version 1

Cite

Wafa Bel Haj Ali, Eric Debreuve, Pierre Kornprobst, Michel Barlaud. Bio-Inspired Bags-of-Features for Image Classification. KDIR - International Conference on Knowledge Discovery and Information Retrieval - 2011, 2011, Paris, France. pp.277-281. ⟨hal-00845745⟩
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