IP Library › Granted Patent US 9,984,309
Granted Patent B2
US 9,984,309 · App. 14/871,332 · Granted May 29, 2018

Classifying and grouping electronic images

Inventors: Mahesh P. Bhat (Houston, TX); Paul F. Gerver (Rochester, MN); Lennard G. Streat (Seneca Falls, NY); Cameron J. Young (Poland, OH)
Assignee: International Business Machines Corporation
G06K9/6215G06K9/00536
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Quick Facts
Patent No.
US 9,984,309
App. No.
14/871,332
Granted
May 29, 2018
Kind
B2
Abstract

The embodiments relate to classifying and grouping images. Primary images and secondary images are created and stored. A preliminary relationship between the primary and secondary images is established. The primary image is compared with the secondary image to produce a relevance score. The relevance score is converted to a secondary image assignment, which includes selectively assigning the secondary image to a first group based on the relevance score.

Claims (66)

1. A method comprising:

associating a first subject in a first image to a second subject in a second image in response to analyzing one or more first facial characteristics of the first subject against one or more second facial characteristics of the second subject, wherein the second image comprises the second subject and a third subject;

receiving an indication from a first patron corresponding to the first subject that the first subject does not match the second subject; and

in response to receiving the indication:

disassociating the second subject from the first subject;

associating the third subject to a fourth subject in a third image; and

displaying the second image to a second patron corresponding to the third image.

2. The method of claim 1 wherein, in response to the associating of the first subject to the second subject, the method further comprises:

adding the second image to a group file that comprises the first image; and

linking the second image to the first image.

3. The method of claim 2 wherein, in response to the disassociating of the second subject from the first subject, the method further comprises:

removing the second image from the group file; and

unlinking the second image from the first image.

4. The method of claim 1 further comprising:

determining that the second subject and the third subject comprise a group; and

in response to the determination:

identifying a plurality of fourth images that include both the second subject and the third subject; and

adding the identified plurality of fourth images to a group file that comprises the third image.

5. The method of claim 1 , further comprising detecting reoccurrence of one or more secondary characteristics of the second subject, and updating a correlation value associated with one or more reoccurring characteristics of the first subject.

6. The method of claim 5 , further comprising assigning the second image to a first group corresponding to the first image in response to the correlation value exceeding a threshold.

7. A system comprising:

one or more processors;

a memory coupled to at least one of the processors;

a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of:

associating a first subject in a first image to a second subject in a second image in response to analyzing one or more first facial characteristics of the first subject against one or more second facial characteristics of the second subject, wherein the second image comprises the second subject and a third subject;

receiving an indication from a first patron corresponding to the first subject that the first subject does not match the second subject; and

in response to receiving the indication:

disassociating the second subject from the first subject;

associating the third subject to a fourth subject in a third image; and

displaying the second image to a second patron corresponding to the third image.

8. The system of claim 7 wherein at least one of the one or more processors perform additional actions comprising:

in response to the associating of the first subject to the second subject:

adding the second image to a group file that comprises the first image; and

linking the second image to the first image; and

in response to the disassociating of the second subject from the first subject:

removing the second image from the group file; and

unlinking the second image from the first image.

9. The system of claim 7 wherein at least one of the one or more processors perform additional actions comprising:

determining that the second subject and the third subject comprise a group; and

in response to the determination:

identifying a plurality of fourth images that include both the second subject and the third subject; and

adding the identified plurality of fourth images to a group file that comprises the third image.

10. The system of claim 7 wherein at least one of the one or more processors perform additional actions comprising:

detecting reoccurrence of the or more secondary characteristics of the second subject and to update a correlation value associated with one or more reoccurring characteristics of the first subject.

11. The system of claim 10 wherein at least one of the one or more processors perform additional actions comprising:

assigning the second image to a group in response to the correlation value in excess of a threshold.

12. A computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by a processing unit to:

associate a first subject in a first image to a second subject in a second image in response to analyzing one or more first facial characteristics of the first subject against one or more second facial characteristics of the second subject, wherein the second image comprises the second subject and a third subject;

receive an indication from a first patron corresponding to the first subject that the first subject does not match the second subject; and

in response to receiving the indication:

disassociate the second subject from the first subject;

associate the third subject to a fourth subject in a third image; and

display the second image to a second patron corresponding to the third image.

13. The computer program product of claim 12 wherein, in response to the associating of the first subject to the second subject, the program code further executable by the processing unit to:

add the second image to a group file that comprises the first image; and

link the second image to the first image.

14. The computer program product of claim 13 wherein, in response to the disassociating of the second subject from the first subject, the program code further executable by the processing unit to:

remove the second image from the group file; and

unlink the second image from the first image.

15. The computer program product of claim 13 wherein the program code is further executable by the processing unit to:

determine that the second subject and the third subject comprise a group; and

in response to the determination:

identify a plurality of fourth images that include both the second subject and the third subject; and

add the identified plurality of fourth images to a group file that comprises the third image.

16. The computer program product of claim 12 , further comprising program code to detect reoccurrence of one or more secondary characteristics of the second subject, and update a correlation value associated with one or more reoccurring characteristics of the first subject.

17. The computer program product of claim 16 , further comprising program code to assign the second image to a first group corresponding to the first image in response to the correlation value exceeding a threshold.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2015
From: BHAT, MAHESH P.; GERVER, PAUL F.; STREAT, LENNARD G.; YOUNG, CAMERON J.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 036777/0605 →
Continuity (1)
Related Publication 20170091584A1 · Mar 30, 2017