IP Library Granted Patent US 10,776,430
Granted Patent B2
US 10,776,430 · App. 16/105,876 · Granted Sep 15, 2020

Method and apparatus for photograph finding

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Quick Facts
Patent No.
US 10,776,430
App. No.
16/105,876
Granted
Sep 15, 2020
Kind
B2
Abstract

Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

Claims (41)

1. A method, comprising:

a computer system receiving, via a wide area network, a search request that includes an uploaded digital image;

the computer system analyzing the digital image to identify characteristics of the digital image, including visual facial characteristics of one or more individuals represented in the digital image;

the computer system searching, using the identified characteristics, information specifying characteristics of respective ones of a plurality of stored digital images that were submitted via the wide area network;

the computer system selecting one or more of the plurality of stored digital images, wherein the selecting is based on a comparison of the identified characteristics and characteristics specified by the information, wherein the compared characteristics include visual facial characteristics of one or more individuals represented in the plurality of stored digital images; and

the computer system returning, via the wide area network, the selected one or more digital images.

2. The method of claim 1 , wherein the visual facial characteristics include hair color and eye color.

3. The method of claim 1 , wherein the identified and compared characteristics further include lighting conditions.

4. The method of claim 1 , wherein the returning includes causing reduced-size versions of the one or more digital images to be displayed via a web site.

5. The method of claim 1 , wherein the identified and compared characteristics further include a source of the digital image.

6. The method of claim 5 , wherein the source of the digital image is indicated using at least one of: a user account of a contributor of the digital image or a device used to capture the digital image.

7. The method of claim 1 , further comprising:

the computer system receiving one or more search parameters based on user input;

wherein the selecting is further based on a comparison of the search parameters with parameters corresponding to respective ones of the plurality of stored digital images.

8. The method of claim 1 , wherein the returning includes distributing the selected one or more digital images using a centralized server system.

9. A system, comprising:

one or more processors; and

one or more memories having program instructions stored thereon that are executable by the one or more processors to cause the system to perform operations comprising:

receiving, via a wide area network, a search request that includes a digital image;

analyzing the digital image to identify characteristics of the digital image, including visual facial characteristics of one or more individuals represented in the digital image;

searching, using the identified characteristics, information specifying characteristics of respective ones of a plurality of stored digital images that were submitted via the wide area network;

selecting one or more of the plurality of stored digital images, wherein the selecting is based on a comparison of the identified characteristics and characteristics specified by the information, wherein the compared characteristics include visual facial characteristics of one or more individuals represented in the plurality of stored digital images; and

returning, via the wide area network, the selected one or more digital images.

10. The system of claim 9 , wherein the visual facial characteristics include hair color and eye color.

11. The system of claim 9 , wherein the identified and compared characteristics further include lighting conditions.

12. The system of claim 9 , wherein the returning includes causing reduced-size versions of the one or more digital images to be displayed via a web site.

13. The system of claim 9 , wherein the identified and compared characteristics further include a source of the digital image.

14. A non-transitory computer-readable medium having instructions stored thereon that are executable by a computing device to perform operations comprising:

receiving, via a wide area network, a search request that includes a digital image;

analyzing the digital image to identify characteristics of the digital image, including visual facial characteristics of one or more individuals represented in the digital image;

searching, using the identified characteristics, information specifying characteristics of respective ones of a plurality of stored digital images that were submitted via the wide area network;

selecting one or more of the plurality of stored digital images, wherein the selecting is based on a comparison of the identified characteristics and characteristics specified by the information, wherein the compared characteristics include visual facial characteristics of one or more individuals represented in the plurality of stored digital images; and

returning, via the wide area network, the selected one or more digital images.

15. The non-transitory computer-readable medium of claim 14 , wherein the visual facial characteristics include hair color and eye color.

16. The non-transitory computer-readable medium of claim 14 , wherein the identified and compared characteristics further include lighting conditions.

17. The non-transitory computer-readable medium of claim 14 , wherein the identified and compared characteristics further include a source of the digital image.

18. The non-transitory computer-readable medium of claim 17 , wherein the source of the digital image is indicated using at least one of: a user account of a contributor of the digital image or a device used to capture the digital image.

19. The non-transitory computer-readable medium of claim 14 , wherein the operations further comprise:

receiving one or more search parameters based on user input;

wherein the selecting is further based on a comparison of the search parameters with parameters corresponding to respective ones of the plurality of stored digital images.

20. The non-transitory computer-readable medium of claim 14 , wherein the returning includes causing reduced-size versions of the one or more digital images to be displayed via a web site.

Assignments (6)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 15, 2025
From: INTELLECTUAL VENTURES ASSETS 205 LLC
To: INTERSTATE PATENTS, LLC
Reel/Frame 073218/0171 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2025
From: INTELLECTUAL VENTURES I LLC
To: INTELLECTUAL VENTURES ASSETS 205 LLC
Reel/Frame 072048/0554 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 28, 2024
From: INTELLECTUAL VENTURES ASSETS 197 LLC
To: INTELLECTUAL VENTURES I LLC
Reel/Frame 066941/0151 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2024
From: INTELLECTUAL VENTURES I LLC
To: INTELLECTUAL VENTURES ASSETS 197 LLC
Reel/Frame 066791/0776 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 8, 2018
From: IDEAFLOOD, INC.
To: HOSHIKO LLC
Reel/Frame 047446/0884 →
MERGER Recorded Nov 8, 2018
From: HOSHIKO LLC
To: INTELLECTUAL VENTURES I LLC
Reel/Frame 047447/0062 →