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.
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660295
