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 determine image orientation. The proposed method is
evaluated and compared to existing methods with experiments performed
on 18040 natural images, where it showed promising performance.
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