Image analysis – Pattern recognition – Classification
Reexamination Certificate
2005-01-04
2009-06-09
Bella, Matthew C (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S227000
Reexamination Certificate
active
07545985
ABSTRACT:
A method and system for learning-based assessment of the quality of an image is provided. An image quality assessment system trains an image classifier based on a training set of sample images that have quality ratings. To train the classifier, the assessment system generates a feature vector for each sample image representing various attributes of the image. The assessment system may train the classifier using an adaptive boosting technique to calculate a quality score for an image. Once the classifier is trained, the assessment system may calculate the quality of an image by generating a feature vector for that image and applying the trained classifier to the feature vector to calculate the quality score for the image.
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Li Ming Jing
Ma Wei-Ying
Zhang Hong-Jiang
Bella Matthew C
Microsoft Corporation
Perkins Coie LLP
Rahmjoo Mike
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