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WACV
2002
IEEE

Boosting Image Orientation Detection with Indoor vs. Outdoor Classification

12 years 2 months ago
Boosting Image Orientation Detection with Indoor vs. Outdoor Classification
Automatic detection of image orientation is a very important operation in photo image management. In this paper, we propose an automated method based on the boosting algorithm to estimate image orientations. The proposed method has the capability of rejecting images based on the confidence score of the orientation detection. Also, images are classified into indoor and outdoor, and this classification result is used to further refine the orientation detection. To select features more sensitive to the rotation, we combine the features by subtraction operation and select the most useful features by boosting algorithm. The proposed method has several advantages: small model size, fast classification speed, and effective rejection scheme.
Lei Zhang, Mingjing Li, HongJiang Zhang
Added 16 Jul 2010
Updated 16 Jul 2010
Type Conference
Year 2002
Where WACV
Authors Lei Zhang, Mingjing Li, HongJiang Zhang
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