SYSTEMS AND METHODS FOR PROVIDING OBJECT RECOGNITION BASED ON DETECTING AND EXTRACTING MEDIA PORTIONS

• US 20170236007A1
• Filed: 05/04/2017
• Published: 08/17/2017
• Est. Priority Date: 03/12/2015
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Bar, Tomer, Chen, Kun, Barak, Dan
• Granted Patent: US 10,325,154 B2
• Time in Patent Office: Days
• CPC Class Codes: G06V 10/95 structured as a network, e.g. client-server architectures
• CPC Class Codes: G06V 20/20 in augmented reality scenes
• CPC Class Codes: G06V 20/30 in albums, collections or shared content, e.g. social network photos or video
• CPC Class Codes: G06V 40/172 Classification, e.g. identification

Abstract

Systems, methods, and non-transitory computer-readable media can receive a selection of an image. An object included in the image can be detected. An image portion that includes the object can be extracted from the image. The image portion can be provided for image analysis based on one or more object recognition processes. An identifier for the object can be received. The identifier can be determined based on the one or more object recognition processes being applied to the image portion.

Claims

1. A computer-implemented method comprising:

receiving, by a computing system, a selection of an image by a user;

receiving, by the computing system, an identifier for an object associated with an image portion of the image, the image portion of the image provided to one or more servers remote from the computing system to generate the identifier based on an object recognition process to which the image portion is applied;

presenting, by the computing system, the image and the identifier to the user; and

transmitting, by the computing system, the image and the identifier to a networking system in response to a command by the user.

2. The computer-implemented method of claim 1, further comprising:

detecting the object in the image.

3. The computer-implemented method of claim 1, wherein the image portion comprises a set of pixels associated with the object.

4. The computer-implemented method of claim 1, further comprising:

providing the user an option to modify the identifier.

5. The computer-implemented method of claim 1, further comprising:

determining a location of the object in the image; and

overlaying the identifier on the image based on the location of the object in the image.

6. The computer-implemented method of claim 1, further comprising:

detecting the object associated with the image portion of the image;

detecting a second object associated with a second image portion of the image; and

providing in conjunction the image portion and the second image portion to the one or more servers remote from the computing system to generate the identifier and a second identifier based on the object recognition process to which the image portion and the second image portion are applied.

7. The computer-implemented method of claim 1, wherein the object comprises a face of a person represented in the image, the object recognition process comprises a facial recognition process, and the identifier comprises a name associated with the person.

8. The computer-implemented method of claim 7, wherein the facial recognition process is based at least in part on a people clustering process.

9. The computer-implemented method of claim 7, wherein the user is associated with a set of social connections via the networking system and the facial recognition process is based at least in part on one or more face models associated with a subset of social connections out of the set of social connections.

10. The computer-implemented method of claim 9, wherein the subset of social connections is associated with a ranking of the set of social connections, the ranking based on at least one of a social coefficient metric, a social affinity metric, a social interaction recency metric, and location data.

11. A system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the system to perform;

receiving a selection of an image by a user;

receiving an identifier for an object associated with an image portion of the image, the image portion of the image provided to one or more servers remote from the computing system to generate the identifier based on an object recognition process to which the image portion is applied;

presenting the image and the identifier to the user; and

transmitting the image and the identifier to a networking system in response to a command by the user.

12. The system of claim 11, wherein the instructions cause the system to further perform:

detecting the object in the image.

13. The system of claim 11, wherein the image portion comprises a set of pixels associated with the object.

14. The system of claim 11, wherein the instructions cause the system to further perform:

providing the user an option to modify the identifier.

15. The system of claim 11, wherein the instructions cause the system to further perform:

determining a location of the object in the image; and

overlaying the identifier on the image based on the location of the object in the image.

16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform:

receiving a selection of an image by a user;

receiving an identifier for an object associated with an image portion of the image, the image portion of the image provided to one or more servers remote from the computing system to generate the identifier based on an object recognition process to which the image portion is applied;

presenting the image and the identifier to the user; and

transmitting the image and the identifier to a networking system in response to a command by the user.

17. The non-transitory computer-readable storage medium of claim 16, wherein the instructions cause the computing system to further perform:

detecting the object in the image.

18. The non-transitory computer-readable storage medium of claim 16, wherein the image portion comprises a set of pixels associated with the object.

19. The non-transitory computer-readable storage medium of claim 16, wherein the instructions cause the computing system to further perform:

providing the user an option to modify the identifier.

20. The non-transitory computer-readable storage medium of claim 16, wherein the instructions cause the computing system to further perform:

determining a location of the object in the image; and

overlaying the identifier on the image based on the location of the object in the image.