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Patent US6865302B2 successfully refreshed from Google Patents.
US6865302B2
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Perception-based image retrieval
Assignee: University of California
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Filing: 2001-03-12
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Granted: 2005-03-08
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Expires: 2021-03-12
Abstract
Abstract A content-based image retrieval (CBIR) system has a front-end that includes a pipeline of one or more dynamically-constructed filters for measuring perceptual similarities between a query image and one or more candidate images retrieved from a back-end comprised of a knowledge base accessed by an inference engine. The images include at least one color set having a set of properties including a number of pixels each having at least one color, a culture color associated with the color set, a mean and variance of the color set, a moment invariant, and a centroid. The filters analyze and compare the set of properties of the query image to the set of properties of the candidate images. Various filters are used, including: a Color Mask filter that identifies identical culture colors in the images, a Color Histogram filter that identifies a distribution of colors in the images, a Color Average filter that performs a similarity comparison on the average of the color sets of the images, a Color Variance filter that performs a similarity comparison on the variances of the color sets of the images, a Spread filter that identifies a spatial concentration of a color in the images, an Elongation filter that identifies a shape of a color in the images, and a Spatial Relationship filter that identifies a spatial relationship between the color sets in the images.
Inventors
- 👤 Edward Y. Chang
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 15:44
CPC Classifications
G; G06; G06F; G06F16/00; G06F16/50; G06F16/58; G06F16/583; G06F16/5838; G06F16/5854; Y; Y10; Y10S; Y10S707/00; Y10S707/99931; Y10S707/99933; Y10S715/00; Y10S715/961; Y10S715/965; Y10S715/966; Y10S715/968
Claims Analysis
Total Claims: 24
Claim 1
Independent Claim
62 words
An electronic content-based image retrieval (CBIR) system, comprising a front-end including a pipeline of one or more dynamically-constructed filters for measuring perceptual similarities between a query image and one or more candidate images retrieved from a back-end comprised of a knowledge base accessed by an inference engine, wherein relevance feedback is used to add, remove or replace filters to achieve better results.
Claim 2
Dependent Claim
62 words
An electronic content-based image retrieval (CBIR) system, comprising a front-end including a pipeline of one or more dynamically-constructed filters for measuring perceptual similarities between a query image and one or more candidate images retrieved from a back-end comprised of a knowledge base accessed by an inference engine, wherein relevance feedback is used to add, remove or replace filters to achieve better results.
Claim 3
Dependent Claim
53 words
The system of claim 1 , wherein the images include at least one color set having a set of properties including a number of pixels each having at least one color, a culture color associated with the color set, a mean and variance of the color set, a moment invariant, and a centroid.
Claim 4
Dependent Claim
29 words
The system of claim 2 , wherein the filters analyze and compare the set of properties of the query image to the set of properties of the candidate images.
Claim 5
Dependent Claim
122 words
The system of claim 2 , wherein the filters are selected from a group comprising: a Color Mask filter that identifies identical culture colors in the images, a Color Histogram filter that identifies a distribution of colors in the images, a Color Average filter that performs a similarity comparison on the average of the color sets of the images, a Color Variance filter that performs a similarity comparison on the variances of the color sets of the images, a Spread filter that identifies a spatial concentration of a color in the images, an Elongation filter that identifies a shape of a color in the images, and a Spatial Relationship filter that identifies a spatial relationship between the color sets in the images.
Claim 6
Dependent Claim
21 words
The system of claim 1 , wherein one or more of the filters are selected and weighted to support personalizable queries.
Claim 7
Dependent Claim
30 words
The system of claim 1 , wherein one or more of the filters include distance functions to measure the perceptual similarities of colors, shapes, and spatial distributions in the images.
Claim 8
Dependent Claim
21 words
The system of claim 6 , wherein the distance functions are selected from a group comprising Hamming, Gaussian and Triangle functions.
Claim 9
Independent Claim
72 words
A method for query processing in an electronic content-based image retrieval (CBIR) system, comprising retrieving one or more candidate images from a back-end comprised of a knowledge base accessed by an inference engine; and measuring perceptual similarities between a query image and the candidate images using a pipeline of one or more dynamically-constructed filters in a front-end, wherein relevance feedback is used to add, remove or replace filters to achieve better results.
Claim 10
Independent Claim
72 words
A method for query processing in an electronic content-based image retrieval (CBIR) system, comprising retrieving one or more candidate images from a back-end comprised of a knowledge base accessed by an inference engine; and measuring perceptual similarities between a query image and the candidate images using a pipeline of one or more dynamically-constructed filters in a front-end, wherein relevance feedback is used to add, remove or replace filters to achieve better results.
Claim 11
Dependent Claim
53 words
The method of claim 8 , wherein the images include at least one color set having a set of properties including a number of pixels each having at least one color, a culture color associated with the color set, a mean and variance of the color set, a moment invariant, and a centroid.
Claim 12
Dependent Claim
29 words
The method of claim 9 , wherein the filters analyze and compare the set of properties of the query image to the set of properties of the candidate images.
Claim 13
Dependent Claim
122 words
The method of claim 9 , wherein the filters are selected from a group comprising: a Color Mask filter that identifies identical culture colors in the images, a Color Histogram filter that identifies a distribution of colors in the images, a Color Average filter that performs a similarity comparison on the average of the color sets of the images, a Color Variance filter that performs a similarity comparison on the variances of the color sets of the images, a Spread filter that identifies a spatial concentration of a color in the images, an Elongation filter that identifies a shape of a color in the images, and a Spatial Relationship filter that identifies a spatial relationship between the color sets in the images.
Claim 14
Dependent Claim
21 words
The method of claim 8 , wherein one or more of the filters are selected and weighted to support personalizable queries.
Claim 15
Dependent Claim
30 words
The method of claim 8 , wherein one or more of the filters include distance functions to measure the perceptual similarities of colors, shapes, and spatial distributions in the images.
Claim 16
Dependent Claim
21 words
The method of claim 13 , wherein the distance functions are selected from a group comprising Hamming, Gaussian and Triangle functions.
Claim 17
Dependent Claim
76 words
An article of manufacture embodying logic for query processing in an electronic content-based image retrieval (CBIR) system, comprising retrieving one or more candidate images from a back-end comprised of a knowledge base accessed by an inference engine; and measuring perceptual similarities between a query image and the candidate images using a pipeline of one or more dynamically-constructed filters in a front-end, wherein relevance feedback is used to add, remove or replace filters to achieve better results.
Claim 18
Dependent Claim
76 words
An article of manufacture embodying logic for query processing in an electronic content-based image retrieval (CBIR) system, comprising retrieving one or more candidate images from a back-end comprised of a knowledge base accessed by an inference engine; and measuring perceptual similarities between a query image and the candidate images using a pipeline of one or more dynamically-constructed filters in a front-end, wherein relevance feedback is used to add, remove or replace filters to achieve better results.
Claim 19
Dependent Claim
55 words
The article of manufacture of claim 15 , wherein the images include at least one color set having a set of properties including a number of pixels each having at least one color, a culture color associated with the color set, a mean and variance of the color set, a moment invariant, and a centroid.
Claim 20
Dependent Claim
31 words
The article of manufacture of claim 16 , wherein the filters analyze and compare the set of properties of the query image to the set of properties of the candidate images.
Claim 21
Dependent Claim
124 words
The article of manufacture of claim 16 , wherein the filters are selected from a group comprising: a Color Mask filter that identifies identical culture colors in the images, a Color Histogram filter that identifies a distribution of colors in the images, a Color Average filter that performs a similarity comparison on the average of the color sets of the images, a Color Variance filter that performs a similarity comparison on the variances of the color sets of the images, a Spread filter that identifies a spatial concentration of a color in the images, an Elongation filter that identifies a shape of a color in the images, and a Spatial Relationship filter that identifies a spatial relationship between the color sets in the images.
Claim 22
Dependent Claim
23 words
The article of manufacture of claim 15 , wherein one or more of the filters are selected and weighted to support personalizable queries.
Claim 23
Dependent Claim
32 words
The article of manufacture of claim 15 , wherein one or more of the filters include distance functions to measure the perceptual similarities of colors, shapes, and spatial distributions in the images.
Claim 24
Dependent Claim
23 words
The article of manufacture of claim 20 , wherein the distance functions are selected from a group comprising Hamming, Gaussian and Triangle functions.
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