Image analysis – Pattern recognition – Classification
Reexamination Certificate
2005-01-25
2005-01-25
Do, Anh Hong (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S203000, C382S305000
Reexamination Certificate
active
06847733
ABSTRACT:
An image is automatically assessed with respect to certain features, wherein the assessment is a determination of the degree of importance, interest or attractiveness of the image. First, a digital image is obtained corresponding to the image. Then one or more quantities are computed that are related to one or more features in the digital image, including one or more features pertaining to the content of the digital image. The quantities are processed with a reasoning algorithm that is trained on the opinions of one or more human observers, and an output is obtained from the reasoning algorithm that assesses the image. More specifically, the reasoning algorithm is a Bayesian network that provides a score which, when done for a group of images, selects one image as the emphasis image or the appeal image. The features pertaining to the content of the digital image include people-related features and/or subject-related features. Moreover, additional quantities may be computed that relate to objective measures of the digital image, such as colorfulness and/or sharpness.
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Mehrotra Rajiv
Savakis Andreas E.
Do Anh Hong
Eastman Kodak Company
Woods David M.
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