Near-duplicate image detection
First Claim
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1. A method for near-duplicate image detection performed by a physical computing system, the method comprising:
- applying a feature detection function to a number of images individually to identify a number of features within each image, a feature being a region within a particular image defined by a geometric shape to identify the feature;
comparing characteristics of said geometric shapes identifying said features within a first image with characteristics of said geometric shapes identifying said features within a second image; and
characterizing said first and second images as a near-duplicate match if a predetermined percentage of said features of said first and second images match,wherein the geometric shapes are not included within the content of the images.
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Abstract
A system and a method for near-duplicate image detection performed by a physical computing system includes applying a feature determining function to a number of images, a feature being defined by a geometric shape, comparing characteristics of said geometric shapes defining said features from at least two of said number of images, and characterizing said at least two of said number of images as a near-duplicate match if a predetermined percentage of said features of said at least two images match.
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Citations
15 Claims
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1. A method for near-duplicate image detection performed by a physical computing system, the method comprising:
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applying a feature detection function to a number of images individually to identify a number of features within each image, a feature being a region within a particular image defined by a geometric shape to identify the feature; comparing characteristics of said geometric shapes identifying said features within a first image with characteristics of said geometric shapes identifying said features within a second image; and characterizing said first and second images as a near-duplicate match if a predetermined percentage of said features of said first and second images match, wherein the geometric shapes are not included within the content of the images. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A physical computing system comprising:
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a processor; and a memory communicatively coupled to said processor; in which said processor; applies a feature detection function to a number of images individually to identify a number of features within each image, a feature being a region within a particular image defined by a geometric shape to identify the feature; compares characteristics of said geometric shapes; and characterizes at least two of said number of images as near-duplicate matches if a predetermined percentage of said features of said at least two of said number of images match, wherein the geometric shapes are not included within the content of the images. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method for near-duplicate image detection performed by a physical computing system, the method comprising:
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applying a feature detection function to a number of images individually to identify a number of features within each image, a feature being a region within a particular image defined by an ellipse to identify the feature; comparing characteristics of said ellipses; and characterizing at least two of said number of images as near-duplicate matches if a predetermined percentage of said features of said at least two of said number of images match; in which given features are classified as a match if values of said characteristics of said ellipses defining the given features are within a predefined tolerance range, wherein the ellipses are not included within the content of the images.
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Specification