SYSTEMS AND METHODS FOR MEDIA PRIVACY

• US 20170004602A1
• Filed: 07/01/2016
• Published: 01/05/2017
• Est. Priority Date: 07/02/2015
• Status: Active Grant

• Current Assignee: Privowny, Inc. (Assurant Incorporated)
• Original Assignee: Privowny, Inc. (Assurant Incorporated)
• Inventors: Le Jouan, Herv
• Granted Patent: US 9,990,700 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06V 2201/10 Recognition assisted with metadata
• CPC Class Codes: G06V 40/16 Human faces, e.g. facial parts, sketches or expressions

Abstract

A system comprises a picture and metadata captured by a content capture system; a recognizable characteristic datastore configured to store recognizable characteristics of different users; a module configured to identify a time and a location associated with the picture based on the metadata, and to identify one or more potential target systems within a predetermined range of the location at the time; a characteristic recognition module configured to retrieve the recognizable characteristics of one or more potential users associated with the potential target systems, and evaluate whether the picture includes one or more representations of at least one actual target user from the potential users based on the recognizable characteristics of the potential users; a distortion module configured to distort a feature of the representations of the least one actual target user in response to the determination; a communication module configured to communicate the distorted picture to a computer network.

Claims

1. A system, comprising:

a picture and associated metadata captured by a content capture system;

a recognizable characteristic datastore configured to store recognizable characteristics of different users;

a module configured to identify a time and a location associated with the picture based on the associated metadata, and to identify a set of one or more potential target systems within a predetermined range of the location at the time;

a characteristic recognition module configured to;

retrieve the recognizable characteristics of a set of one or more potential users associated with the set of one or more potential target systems, and

evaluate whether the picture includes one or more representations of at least one actual target user from the set of one or more potential users based on the recognizable characteristics of the set of one or more potential users;

a distortion module configured to distort a feature of each of the one or more representations of the least one actual target user in response to the determination; and

a communication module configured to communicate the distorted picture to a computer network.

2. The system of claim 1, wherein at least one of the recognizable characteristics comprises one or more images.

3. The system of claim 1, wherein at least one of the recognizable characteristics is derived from one or more images.

4. The system of claim 1, wherein at least one of the recognizable characteristics comprises a wearable item.

5. The system of claim 1, wherein the communication module addresses the distorted picture to the content capture system.

6. They system of claim 1, wherein the feature distorted comprises one or more facial features.

7. The system of claim 1, further comprising a profile generation module configured to determine distortion preferences for the at least one actual target user, wherein the distortion module configured to distort the feature comprises the distortion module configured to distort the feature based on the distortion preferences.

8. The system of claim 1, wherein the distortion module configured to distort the feature comprises the distortion module configured to blur the feature.

9. A method, comprising:

receiving a picture and associated metadata, the picture and the associated metadata captured by a content capture system;

storing recognizable characteristics of different users;

identifying a time and location associated with the picture based on the associated metadata;

identifying a set of one or more potential target systems within a predetermined range of the location at the time;

retrieving the recognizable characteristics of a set of one or more potential users associated with the set of one or more potential target systems;

evaluating whether the picture includes one or more representations of at least one actual target user from the set of one or more potential users based on the recognizable characteristics of the set of one or more potential users;

distorting a feature of each of the one or more representations of the least one actual target user in response to the determination; and

providing the distorted picture to a computer network.

10. The method of claim 9, wherein at least one of the recognizable characteristics comprises one or more images.

11. The method of claim 9, wherein at least one of the recognizable characteristics is derived from one or more images.

12. The method of claim 9, wherein at least one of the recognizable characteristics comprises a wearable item.

13. The method of claim 9, wherein the communication module addresses the distorted picture to the content capture system.

14. They method of claim 9, wherein the feature distorted comprises one or more facial features.

15. The method of claim 9, further comprising determining distortion preferences for the at least one actual target user, wherein the distorting the feature comprises the distorting the feature based on the distortion preferences.

16. The method of claim 9, wherein the distorting the feature comprises blurring the feature.

17. A system, comprising:

means for receiving a picture and associated metadata, the picture and the associated metadata captured by a content capture system;

means for storing recognizable characteristics of different users;

means for identifying a time and location associated with the picture based on the associated metadata;

means for identifying a set of one or more potential target systems within a predetermined range of the location at the time;

means for retrieving the recognizable characteristics of a set of one or more potential users associated with the set of one or more potential target systems;

means for evaluating whether the picture includes one or more representations of at least one actual target user from the set of one or more potential users based on the recognizable characteristics of the set of one or more potential users;

means for distorting a feature of each of the one or more representations of the least one actual target user in response to the determination; and

means for providing the distorted picture to a computer network.

18. A non-transitory computer readable medium comprising executable instructions, the instructions being executable by a processor to perform a method, the method comprising:

receiving a picture and associated metadata, the picture and the associated metadata captured by a content capture system;

storing recognizable characteristics of different users;

identifying a time and location associated with the picture based on the associated metadata;

identifying a set of one or more potential target systems within a predetermined range of the location at the time;

retrieving the recognizable characteristics of a set of one or more potential users associated with the set of one or more potential target systems;

evaluating whether the picture includes one or more representations of at least one actual target user from the set of one or more potential users based on the recognizable characteristics of the set of one or more potential users;

distorting a feature of each of the one or more representations of the least one actual target user in response to the determination; and

providing the distorted picture to a computer network.