Wafa Bel Haj Ali, Eric Debreuve, Pierre Kornprobst, Michel Barlaud


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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Paper Citation

in Harvard Style

Bel Haj Ali W., Debreuve E., Kornprobst P. and Barlaud M. (2011). BIO-INSPIRED BAGS-OF-FEATURES FOR IMAGE CLASSIFICATION . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 269-273. DOI: 10.5220/0003663402770281

in Bibtex Style

author={Wafa Bel Haj Ali and Eric Debreuve and Pierre Kornprobst and Michel Barlaud},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
SN - 978-989-8425-79-9
AU - Bel Haj Ali W.
AU - Debreuve E.
AU - Kornprobst P.
AU - Barlaud M.
PY - 2011
SP - 269
EP - 273
DO - 10.5220/0003663402770281