Ridgelet-based signature for natural image classification
Le Borgne, Hervé and O'Connor, Noel E. (2005) Ridgelet-based signature for natural image classification. In: CORIA 2005 - 2nd Conference on Information Retrieval and its Applications, 9-11 March 2005, Grenoble, France.
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This paper presents an approach to grouping natural scenes into (semantically) meaningful categories. The proposed approach exploits the statistics of natural scenes to define
relevant image categories. A ridgelet-based signature is used to represent images. This signature is used by a support vector classifier that is well designed to support high dimensional features, resulting in an effective recognition system. As an illustration of the potential of the approach several experiments of binary classifications (e.g. city/landscape or indoor/outdoor) are conducted on databases of natural scenes.
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