IP Library Granted Patent US 11,373,057
Granted Patent B2
US 11,373,057 · App. 16/872,876 · Granted Jun 28, 2022

Artificial intelligence driven image retrieval

Inventors: Saritha Route (Bangalore, IN); Clea Anne Zolotow (Key West, FL); John Graham (Ryde, GB); Ana Maria Bezerra Maimoni (Sao Paulo, BR); Pedro Soares (Silveira, PT)
Assignee: KYNDRYL, INC.
G06K9/6232G06F16/535G06F16/54G06F16/5866G06K9/6259G06T11/206
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Quick Facts
Patent No.
US 11,373,057
App. No.
16/872,876
Granted
Jun 28, 2022
Kind
B2
Abstract

A method for retrieving a plurality of electronic images that includes obtaining images from a plurality of electronic storage sites. A first set of images containing a main protagonist is selected from the plurality of electronic images. An intent based image selection is performed from the first set of images. The intent based image selection includes tagging the first set of images with word tags identifying content of the images, creating a word cloud from the word tags, plotting the top word tags from the word cloud in a Venn diagram, and extracting images from the overlapping are of the Venn diagram.

Claims (30)

1. A computer implemented method for retrieving a plurality of electronic images comprising:

obtaining images from a plurality of electronic storage sites;

selecting a first set of images containing a main protagonist from the plurality of electronic images; and

performing an intent based image selection from the first set of images, the intent based image selection comprising tagging the first set of images with word tags identifying content of the images, creating a word cloud from the word tags plotting the top word tags from the word cloud in a Venn diagram, and extracting images from the overlapping are of the Venn diagram, wherein the extracted images provide a collage of intent based images correlated to the main protagonist.

2. The computer implemented method of claim 1 , wherein said intent based image selection further comprises using wave form fitment validation.

3. The computer implemented method of claim 1 , wherein said creating the word cloud further comprises auto-tagging of the first set of images.

4. The computer implemented method of claim 1 , wherein the electronic storage sites includes the memory of a camera including device, an internet based networking application, or a combination thereof.

5. The computer implemented method of claim 1 , wherein the main protagonist comprises an identity of a person other than a user of the electronic storage sites.

6. The computer implemented method of claim 1 , wherein the main protagonist comprises an identity of a user of the electronic storage sites.

7. The computer implemented method of claim 1 , wherein said intent for the intent based image selection is that the collage is for an event.

8. The computer implemented method of claim 1 , wherein the event is selected from the group consisting of a party, a wedding, a marriage, a ceremony, a birth, a celebration, a graduation and combinations thereof.

9. The computer implemented method of claim 1 , wherein the word tags are selected from the group consisting of word tags identifying facial expressions, word tags identifying people, word tags identifying activity, word tags identifying location where an image was taken, word tags identifying an occasion, word tags identifying a date and combinations thereof.

10. A system for retrieving electronic images comprising:

an interface for retrieving a plurality of electronic images includes obtaining images from a plurality of electronic storage sites;

an image recognition engine for selecting a first set of images containing a main protagonist from the plurality of electronic images;

an artificial intelligence chatbot performs an intent based image selection from the first set of images, wherein the intent based image selection includes tagging the first set of images with word tags identifying content of the images creating a word cloud from the word tags, plotting the top word tags from the word cloud in a Venn diagram, and extracting images from the overlapping are of the Venn diagram; and

a report generator for producing a collage of intent based images correlated to the main protagonist from the extracted images.

11. The system of claim 10 , wherein said intent based image selection further comprises using wave form fitment validation.

12. The system of claim 10 , wherein said creating the word cloud further comprises auto-tagging of the first set of images.

13. The system of claim 10 , wherein the electronic storage sites includes the memory of a camera including device.

14. The system of claim 10 , wherein the electronic storage sites includes an internet based networking application.

15. The system of claim 10 , wherein the main protagonist comprises an identity of a person other than a user of the electronic storage sites.

16. The system of claim 10 , wherein the main protagonist comprises an identity of a user of the electronic storage sites.

17. The system of claim 10 , wherein said intent for the intent based image selection is that the collage is for an event.

18. A computer program product for retrieving a plurality of electronic images comprising a computer readable storage medium having computer readable program code embodied therewith, the program instructions executable by a processor to cause the processor to:

obtain, using the processor, images from a plurality of electronic storage sites;

select, using the processor, a first set of images containing a main protagonist from the plurality of electronic images; and

perform, using the processor, an intent based image selection from the first set of images, the intent based image selection comprising tagging the first set of images with word tags identifying content of the images, creating a word cloud from the word tags, plotting the top word tags from the word cloud in a Venn diagram, and extracting images from the overlapping are of the Venn diagram, wherein the extracted images provide a collage of intent based images correlated to the main protagonist.

19. The computer program product of claim 18 , wherein said intent based image selection further comprises using wave form fitment validation.

20. The computer program product of claim 18 , wherein said creating the word cloud further comprises auto-tagging of the first set of images.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 18, 2021
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: KYNDRYL, INC.
Reel/Frame 058213/0912 →
CORRECTIVE ASSIGNMENT TO CORRECT THE 4TH INVENTOR'S NAME PREVIOUSLY RECORDED AT REEL: 52638 FRAME: 680. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded May 14, 2020
From: ROUTE, SARITHA; ZOLOTOW, CLEA ANNE; GRAHAM, JOHN; BEZERRA MAIMONI, ANA MARIA; SOARES, PEDRO
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 052657/0633 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 12, 2020
From: ROUTE, SARITHA; ZOLOTOW, CLEA ANNE; GRAHAM, JOHN; BEZERRA MAIMONI, NA MARIA; SOARES, PEDRO
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 052638/0680 →