DocumentCode
454780
Title
Pre-Classification for Automatic Image Orientation
Author
Le Borgne, Hervé ; O´Connor, Noel E.
Author_Institution
Centre for Digital Video Process., Dublin City Univ.
Volume
2
fYear
2006
fDate
14-19 May 2006
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
Keywords
image classification; automatic image orientation; image preclassification; subsequent orientation detection; Content management; Digital cameras; Digital images; Image processing; Information retrieval; Layout; Statistics; Support vector machine classification; Support vector machines; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1660295
Filename
1660295
Link To Document