IP Library Granted Patent US 10,885,619
Granted Patent B2
US 10,885,619 · App. 16/163,517 · Granted Jan 5, 2021

Context-based imagery selection

Inventors: Gerald Hewes (Lexington, MA); Joe Regan (Boston, MA); David Benaim (Newton Centre, MA); Joseph C. Cuccinelli, Jr. (Needham, MA); Andrew Goldfarb (Brookline, MA)
Assignee: Photo Butler, Inc.
G06T7/0002G06F16/40G06K9/00503G06K9/036G06T7/97G06K9/6255G06K2209/27
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Quick Facts
Patent No.
US 10,885,619
App. No.
16/163,517
Granted
Jan 5, 2021
Kind
B2
Abstract

Methods and systems for selecting an image. The systems and methods may receive one or more images as well as a context associated with the received imagery. Based on the context of the received imagery, an appropriate engine may analyze the imagery by executing one or more routines. Based on the results of the analysis, one or more of the images may be selected.

Claims (31)

1. A computer-implemented method for selecting at least one image, the method comprising:

receiving a plurality of images using an interface to the computer;

receiving, by at least one processor executing instructions stored on a memory, a context associated with the plurality of images;

selecting at least one engine to analyze the plurality of images based on the received context, wherein the selected engine executes a routine associated with the context to detect preferred content of the plurality of images;

analyzing, using the at least one selected engine, the plurality of images by executing the routine associated with the context to detect preferred content of the plurality of images; and

selecting, using the processor, at least one of the plurality of images based on the results of the at least one executed routine.

2. The method of claim 1 wherein the context is received from a user.

3. The method of claim 1 further comprising assigning a context score to each of the plurality of images using the processor, wherein the context score is determined by the at least one routine associated with the context.

4. The method of claim 3 wherein the context score is based on at least one of image context, image EXIF data, location data, image photographer, users accessing the image, objects in the image, people in the image, image focus, and user interactions with the image.

5. The method of claim 1 wherein selecting the at least one of the plurality of images includes selecting at least one of the plurality of images using at least one of image orientation, image capture time, people in the images, location data, and objects in the images.

6. The method of claim 1 further comprising predicting the context of the plurality of images using the processor to provide the context.

7. The method of claim 1 further comprising presenting at least one first image of the selected plurality of images to a first user and presenting at least one second image of the selected plurality of images to a second user.

8. The method of claim 1 further comprising sharing the at least one selected image to a plurality of authorized users.

9. The method of claim 1 wherein the selected plurality of images were taken across different time periods.

10. The method of claim 1 wherein the selected plurality of images were taken across different locations.

11. A computer-implemented system for selecting at least one image, the system comprising:

an interface to the computer for receiving at least a plurality of images; and

at least one processor executing instructions stored on a memory to:

receive a context associated with the plurality of images,

select at last one engine to analyze the plurality of images based on the received context, wherein the selected engine executes a routine associated with the context to detect preferred content of the plurality of images;

analyze the plurality of images using the at least one selected engine by executing the routine associated with the context to detect preferred content of the plurality of images, and

select at least one of the plurality of images based on the results of the at least one executed routine.

12. The system of claim 11 wherein the context is received from a user.

13. The system of claim 11 wherein the at least one processor is further configured to assign a context score to each of the plurality of images using the at least one processor, wherein the context score is determined by the at least one routine associated with the context.

14. The system of claim 13 wherein the context score is based on at least one of image context, image EXIF data, location data, image photographer, users accessing the image, objects in the image, people in the image, image focus, and user interactions with the image.

15. The system of claim 11 wherein the processor selects at least one of the plurality of images using at least one of image orientation, image capture time, people in the images, location data, and objects in the images.

16. The system of claim 11 wherein the at least one processor is further configured to predict the context of the plurality of images to provide the context.

17. The system of claim 11 wherein the at least one processor is further configured to present at least one first image of the plurality of images to a first user, and presenting at least one second image of the plurality of images to a second user.

18. The system of claim 11 wherein the at least one processor is further configured to share the at least one selected image to a plurality of authorized users.

19. The system of claim 11 wherein the selected plurality of images were taken across different time periods.

20. The system of claim 11 wherein the selected plurality of images were taken across different locations.

Assignments (2)
MERGER Recorded Nov 19, 2019
From: GNOMMME LLC; PHOTO BUTLER INC.
To: PHOTO BUTLER INC.
Reel/Frame 051055/0017 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 17, 2019
From: HEWES, GERALD; REGAN, JOE; BENAIM, DAVID; CUCCINELLI, JOSEPH C., JR.; GOLDFARB, ANDREW P.
To: GNOMMME LLC
Reel/Frame 048041/0279 →
Continuity (2)
Provisional Application 62573645 · Oct 17, 2017
Related Publication 20190122354A1 · Apr 25, 2019