US6832006B2
Expired / Lapsed
US
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System and method for controlling image compression based on image emphasis
Assignee: Monument Peak Ventures LLC
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Filing: 2001-07-23
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Granted: 2004-12-14
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Expires: 2021-07-23
Abstract
Abstract A method to automatically vary the compression of images by ranking images within clusters based upon image emphasis. The ranking process computes one or more quantities related to one or more features in each image. The features can include the content of images. The invention processes the quantities with a reasoning algorithm that is trained based on opinions of one or more human observers. The invention applies the quantities to the images to produce the ranking and variably compresses the images depending upon the ranking. The images having a low ranking and are compressed more than images that have a high ranking.
Inventors
- 👤 Andreas E. Savakis
- 👤 Majid Rabbani
- 👤 Stephen P. Etz
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 11:11
CPC Classifications
H; H04; H04N; H04N19/00; H04N19/10; H04N19/102; H04N19/115; G; G06; G06N; G06N20/00; G06N7/00; G06N7/01; G06V; G06V20/00; G06V20/10; G06V40/00; G06V40/10; G06V40/16; G06V40/161; G06V40/162; H04N19/124; H04N19/126; H04N19/134; H04N19/136; H04N19/169; H04N19/17; H04N19/172; H04N19/186; H04N19/60; H04N19/63; H04N19/85
Claims Analysis
Total Claims: 31
Claim 1
Independent Claim
82 words
A method automatically compressing images comprising: (a) ranking images based upon image emphasis, wherein said ranking includes: (1) computing one or more quantities related to one or more features in each image, said features including a content of said images; (2) processing said quantities with a reasoning algorithm that is trained based on opinions of one or more human observers; and (3) applying said quantities to said images to produce said ranking; and (b) variably compressing said images depending upon said ranking.
Claim 2
Independent Claim
82 words
A method automatically compressing images comprising: (a) ranking images based upon image emphasis, wherein said ranking includes: (1) computing one or more quantities related to one or more features in each image, said features including a content of said images; (2) processing said quantities with a reasoning algorithm that is trained based on opinions of one or more human observers; and (3) applying said quantities to said images to produce said ranking; and (b) variably compressing said images depending upon said ranking.
Claim 3
Dependent Claim
21 words
The method as claimed in claim 1 , wherein said features include at least one of people-related features and subject-related features.
Claim 4
Dependent Claim
33 words
The method as claimed in claim 1 , wherein said computing further includes computing one or more quantities related to one or more objective features pertaining to objective measures of the digital image.
Claim 5
Dependent Claim
20 words
The method as claimed in claim 3 , wherein said objective features include at least one of colorfulness and sharpness.
Claim 6
Dependent Claim
21 words
The method as claimed in claim 3 , wherein said objective features include a representative quality in terms of color content.
Claim 7
Dependent Claim
19 words
The method as claimed in claim 3 , wherein said objective features include a uniqueness of picture aspect format.
Claim 8
Dependent Claim
21 words
The method as claimed in claim 1 , wherein said reasoning algorithm is trained from ground truth studies of candidate images.
Claim 9
Dependent Claim
16 words
The method as claimed in claim 1 , wherein the reasoning algorithm comprises a Bayesian network.
Claim 10
Dependent Claim
39 words
The method as claimed in claim 1 , wherein said compressing of said images is varied such that first images having a first ranking are compressed more than second images having a second ranking higher than said first ranking.
Claim 11
Independent Claim
105 words
A method automatically compressing images comprising: (a) ranking images based upon image emphasis, wherein said ranking includes: (1) computing one or more quantities related to one or more features in each image, said features including a content of said images; (2) processing said quantities with a reasoning algorithm that is trained based on opinions of one or more human observers; and (3) applying said quantities to said images to produce said ranking; and (b) variably compressing said images depending upon said ranking such that first images having a first ranking are compressed more than second images having a second ranking higher than said first ranking.
Claim 12
Independent Claim
105 words
A method automatically compressing images comprising: (a) ranking images based upon image emphasis, wherein said ranking includes: (1) computing one or more quantities related to one or more features in each image, said features including a content of said images; (2) processing said quantities with a reasoning algorithm that is trained based on opinions of one or more human observers; and (3) applying said quantities to said images to produce said ranking; and (b) variably compressing said images depending upon said ranking such that first images having a first ranking are compressed more than second images having a second ranking higher than said first ranking.
Claim 13
Dependent Claim
21 words
The method as claimed in claim 10 , wherein said features include at least one of people-related features and subject-related features.
Claim 14
Dependent Claim
33 words
The method as claimed in claim 10 , wherein said computing further includes computing one or more quantities related to one or more objective features pertaining to objective measures of the digital image.
Claim 15
Dependent Claim
20 words
The method as claimed in claim 12 , wherein said objective features include at least one of colorfulness and sharpness.
Claim 16
Dependent Claim
21 words
The method as claimed in claim 12 , wherein said objective features include a representative quality in terms of color content.
Claim 17
Dependent Claim
19 words
The method as claimed in claim 12 , wherein said objective features include a uniqueness of picture aspect format.
Claim 18
Dependent Claim
21 words
The method as claimed in claim 10 , wherein said reasoning algorithm is trained from ground truth studies of candidate images.
Claim 19
Dependent Claim
16 words
The method as claimed in claim 10 , wherein the reasoning algorithm comprises a Bayesian network.
Claim 20
Dependent Claim
27 words
The method as claimed in claim 10 , wherein said content of said images is controlled using a quality factor whose value is related to image emphasis/appeal.
Claim 21
Dependent Claim
27 words
The method as claimed in claim 10 , wherein content of said images is controlled based on output file size whose value is related to image emphasis/appeal.
Claim 22
Dependent Claim
24 words
The method as claimed in claim 10 , wherein said content of said images is controlled using a visual quality of an output image.
Claim 23
Independent Claim
84 words
A method automatically compressing images comprising: (a) ranking images based upon image emphasis, wherein said ranking includes: (1) computing one or more quantities related to one or more objective features in each image, said objective features including a content of said images; (2) processing said quantities with a reasoning algorithm that is trained based on opinions of one or more human observers; and (3) applying said quantities to said images to produce said ranking; and (b) variably compressing said images depending upon said ranking.
Claim 24
Independent Claim
84 words
A method automatically compressing images comprising: (a) ranking images based upon image emphasis, wherein said ranking includes: (1) computing one or more quantities related to one or more objective features in each image, said objective features including a content of said images; (2) processing said quantities with a reasoning algorithm that is trained based on opinions of one or more human observers; and (3) applying said quantities to said images to produce said ranking; and (b) variably compressing said images depending upon said ranking.
Claim 25
Dependent Claim
24 words
The method as claimed in claim 21 , wherein said objective features include at least one of people-related objective features and subject-related objective features.
Claim 26
Dependent Claim
21 words
The method as claimed in claim 21 , wherein said objective objective features include at least one of colorfulness and sharpness.
Claim 27
Dependent Claim
22 words
The method as claimed in claim 21 , wherein said objective objective features include a representative quality in terms of color content.
Claim 28
Dependent Claim
20 words
The method as claimed in claim 21 , wherein said objective objective features include a uniqueness of picture aspect format.
Claim 29
Dependent Claim
21 words
The method as claimed in claim 21 , wherein said reasoning algorithm is trained from ground truth studies of candidate images.
Claim 30
Dependent Claim
16 words
The method as claimed in claim 21 , wherein the reasoning algorithm comprises a Bayesian network.
Claim 31
Dependent Claim
39 words
The method as claimed in claim 21 , wherein said compressing of said images is varied such that first images having a first ranking are compressed more than second images having a second ranking higher than said first ranking.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
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| 3.5 Years (Year 4) | 2007-12-14 | 2008-06-14 | 2008-12-14 | $2000.00 | Window Closed / Lapsed |
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