Method and apparatus for performing constrained spectral clustering of digital image data
First Claim
1. A digital image processing method, said method comprising:
- accessing element data representing a plurality of elements belonging to a plurality of digital images;
performing a similarity analysis between said elements from said plurality of elements to obtain inter-relational data results relating to said elements; and
performing clustering of said plurality of elements, said step of performing clustering including incorporating in said inter-relational data results at least one hard constraint relating to elements from said plurality of elements, to obtain constrained inter-relational data results, performing a spectral analysis to obtain eigenvector results from said constrained inter-relational data results, and performing discretization of said eigenvector results using constrained clustering with a criterion to enforce said at least one hard constraint to obtain clusters.
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Accused Products
Abstract
A method and an apparatus process digital images. The method according to one embodiment accesses element data representing a plurality of elements belonging to a plurality of digital images; performs a similarity analysis between the elements from the plurality of elements to obtain inter-relational data results relating to the elements; and performs clustering of the plurality of elements, the step of performing clustering including incorporating in the inter-relational data results at least one hard constraint relating to elements from the plurality of elements, to obtain constrained inter-relational data results, performing a spectral analysis to obtain eigenvector results from the constrained inter-relational data results, and performing discretization of the eigenvector results using constrained clustering with a criterion to enforce the at least one hard constraint to obtain clusters.
45 Citations
40 Claims
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1. A digital image processing method, said method comprising:
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accessing element data representing a plurality of elements belonging to a plurality of digital images;
performing a similarity analysis between said elements from said plurality of elements to obtain inter-relational data results relating to said elements; and
performing clustering of said plurality of elements, said step of performing clustering including incorporating in said inter-relational data results at least one hard constraint relating to elements from said plurality of elements, to obtain constrained inter-relational data results, performing a spectral analysis to obtain eigenvector results from said constrained inter-relational data results, and performing discretization of said eigenvector results using constrained clustering with a criterion to enforce said at least one hard constraint to obtain clusters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A digital image processing method, said method comprising:
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accessing element data representing a plurality of elements belonging to a plurality of digital images;
performing a similarity analysis between said elements from said plurality of elements to obtain inter-relational data results relating to said elements; and
performing clustering of said plurality of elements, said step of performing clustering including incorporating in said inter-relational data results at least one hard negative constraint relating to dissimilarities between said elements, to obtain constrained inter-relational data results, performing a spectral analysis to obtain eigenvector results from said constrained inter-relational data results, and performing discretization of said eigenvector results by clustering said eigenvector results to obtain clusters. - View Dependent Claims (16, 17, 18, 19, 20)
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21. A digital image processing apparatus, said apparatus comprising:
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an image data unit for providing element data representing a plurality of elements belonging to a plurality of digital images;
a similarity analysis unit for performing a similarity analysis between said elements from said plurality of elements to obtain inter-relational data results relating to said elements; and
a clustering unit for performing clustering of said plurality of elements, said clustering unit performing clustering by incorporating in said inter-relational data results at least one hard constraint relating to elements from said plurality of elements, to obtain constrained inter-relational data results, performing a spectral analysis to obtain eigenvector results from said constrained inter-relational data results, and performing discretization of said eigenvector results using constrained clustering with a criterion to enforce said at least one hard constraint to obtain clusters. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. A digital image processing apparatus, said apparatus comprising:
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an image data unit for providing element data representing a plurality of elements belonging to a plurality of digital images;
a similarity analysis unit for performing a similarity analysis between said elements from said plurality of elements to obtain inter-relational data results relating to said elements; and
a clustering unit for performing clustering of said plurality of elements, said clustering unit performing clustering by incorporating in said inter-relational data results at least one hard negative constraint relating to dissimilarities between said elements, to obtain constrained inter-relational data results, performing a spectral analysis to obtain eigenvector results from said constrained inter-relational data results, and performing discretization of said eigenvector results by clustering said eigenvector results to obtain clusters. - View Dependent Claims (36, 37, 38, 39, 40)
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Specification