BIB-VERSION:: CS-TR-v2.0
ID:: ncstrl.dartmouthcs//TR2005-545
ENTRY:: February 18, 2008
ORGANIZATION:: Dartmouth College, Computer Science
TITLE:: Automatic Image Orientation Determination with Natural Image Statistics
TYPE:: Technical Report (paper)
REVISION:: 1
AUTHOR:: Lyu, Siwei
DATE:: October 2004
RETRIEVAL:: For a paper copy, email <reports@cs.dartmouth.edu>
RETRIEVAL:: For a paper copy, write to
       Technical Report Librarian
       Department of Computer Science
       Dartmouth College
       6211 Sudikoff Laboratory
       Hanover, NH 03755-3510
       USA
RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR2005-545.pdf
ABSTRACT:: 
In this paper, we propose a new method for automatically determining
image orientations. This method is based on a set of natural image
statistics collected from a multi-scale multi-orientation image
decomposition (e.g., wavelets).  From these statistics, a two-stage
hierarchal classification with multiple binary SVM classifiers is
employed to de- termine image orientation. The proposed method is
evaluated and compared to existing methods with experiments performed
on 18040 natural images, where it showed promising performance.  
END:: ncstrl.dartmouthcs//TR2005-545