Patent EP1280107A2 successfully refreshed from Google Patents.

EP1280107A2 Expired / Lapsed EP ⏱️ 0.0 years remaining

Quality based image compression

Assignee: Eastman Kodak Co

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Filing: 2002-07-12

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Granted: —

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Expires: 2022-07-12

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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 Paul Etz

Bibliographic Details

Application Number —

Jurisdiction EP

Data Source google_patents

Last Synchronized 2026-11-09 10:16

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: 9

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

Dependent Claim 20 words

The method as claimed in claim 1, wherein said features include at least one of people-related features and subject-related features.

Claim 3

Dependent Claim 32 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 4

Dependent Claim 19 words

The method as claimed in claim 3, wherein said objective features include at least one of colorfulness and sharpness.

Claim 5

Dependent Claim 20 words

The method as claimed in claim 3, wherein said objective features include a representative quality in terms of color content.

Claim 6

Dependent Claim 18 words

The method as claimed in claim 3, wherein said objective features include a uniqueness of picture aspect format.

Claim 7

Dependent Claim 20 words

The method as claimed in claim 1, wherein said reasoning algorithm is trained from ground truth studies of candidate images.

Claim 8

Dependent Claim 15 words

The method as claimed in claim 1, wherein the reasoning algorithm comprises a Bayesian network.

Claim 9

Dependent Claim 38 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.

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