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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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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:ridgelets; categorisation; classification; non-textual media;
Subjects:Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission FP6-001765, Enterprise Ireland, EI FR/2005/56
ID Code:317
Deposited On:12 Mar 2008 by DORAS Administrator. Last Modified 06 May 2010 10:20

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