Method and computer program product for subjective image content similarity-based retrieval
First Claim
Patent Images
1. A method for learning a user preference for a desired image, the method comprising the steps of:
- (a) using one or more examples and counterexamples of a desired image for defining a user preference;
(b) computing a relative preference of a user for either one or more image components or one or more depictive features based on a frequency of occurrence of the image component or depictive feature in the examples and counterexamples of a desired image; and
(c) formulating a user subjective definition of a desired image using the relative preference for either image components or depictive features.
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Abstract
A user preference for a desired image is determined by using one or more examples and counterexamples of a desired image in order to define the user preference. A relative preference of a user for one or more image components or one or more depictive features is automatically extracted from the examples and counterexamples of the desired image. Then, a user subjective definition of a desired image is formulated using the relative preferences for either the image components or the depictive features.
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Citations
48 Claims
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1. A method for learning a user preference for a desired image, the method comprising the steps of:
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(a) using one or more examples and counterexamples of a desired image for defining a user preference;
(b) computing a relative preference of a user for either one or more image components or one or more depictive features based on a frequency of occurrence of the image component or depictive feature in the examples and counterexamples of a desired image; and
(c) formulating a user subjective definition of a desired image using the relative preference for either image components or depictive features. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for retrieving user desired images comprising the steps of
(a) formulating a user subjective definition of a desired image using either image components or depictive features from one or more examples and counterexamples of a desired image comprising; -
(a1) extracting a relative preference of a user for either an image component or a depictive feature based on the frequency of occurrence of the image component or depictive feature in the examples and counterexamples of a desired image; and
(b) applying the user subjective definition of a desired image to identify and retrieve a user desired image. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer program product for learning a user preference for a desired image, comprising a computer readable storage medium having a computer program stored thereon for performing the steps of
(a) using one or more examples and counterexamples of a desired image for defining a user preference; -
b) extracting a relative preference of a user for either one or more image components or one or more depictive features based on the frequency of occurrence of the image component or depictive feature in the examples and counterexamples of a desired image; and
(c) formulating a user subjective definition of a desired image using the relative preferences for either image components or depictive features. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. A computer program product for retrieving user desired images comprising the steps of
(a) formulating a user subjective definition of a desired image using either image components or depictive features from one or more examples and counterexamples of a desired image comprising; -
(a1) extracting a relative preference of a user for either an image component or a depictive feature based on the frequency of occurrence of the image component or depictive feature in the examples and counterexamples of a desired image; and
(b) applying the user subjective definition of a desired image to identify and retrieve the user desired images. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48)
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Specification