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Pre-classification for automatic image orientation

Le Borgne, Hervé orcid logoORCID: 0000-0003-0520-8436 and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2006) Pre-classification for automatic image orientation. In: ICASSP 2006 - IEEE International Conference on Acoustics, Speech, and Signal Processing, 14-19 May 2006, Toulouse, France.

Abstract
In this paper, we propose a novel method for automatic orientation of digital images. The approach is based on exploiting the properties of local statistics of natural scenes. In this way, we address some of the difficulties encountered in previous works in this area. The main contribution of this paper is to introduce a pre-classification step into carefully defined categories in order to simplify subsequent orientation detection. The proposed algorithm was tested on 9068 images and compared to existing state of the art in the area. Results show a significant improvement over previous works
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:automatic image orientation; image preclassification; subsequent orientation detection;
Subjects:Computer Science > Image processing
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/ICASSP.2006.1660295
Copyright Information:Copyright © 2006 IEEE. Reprinted from ICASSP 2006 - IEEE International Conference on Acoustics, Speech, and Signal Processing. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:European Commission FP6-001765, Enterprise Ireland
ID Code:230
Deposited On:05 Mar 2008 by DORAS Administrator . Last Modified 09 Nov 2018 10:32
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