Systems And Methods For Identifying And Notifying Users of Electronic Content Based on Biometric Recognition

• US 20120011085A1
• Filed: 06/09/2011
• Published: 01/12/2012
• Est. Priority Date: 06/10/2010
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: AOL Inc. (Apollo Global Management, Inc.)
• Inventors: Kocks, Peter F., Hu, Guoning, Sarje, Abhinav
• Granted Patent: US 8,601,076 B2
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06F 16/7834 using audio features
• CPC Class Codes: G06F 16/784 the detected or recognised objects being people
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

Systems and methods are disclosed for manipulating electronic multimedia content to a user. One method includes generating a plurality of biometric models, each biometric model corresponding to one of a plurality of people; receiving electronic media content over a network; extracting image or audio data from the electronic media content; detecting biometric information in the image or audio data; and calculating a probability of the electronic media content involving one of the plurality of people, based on the biometric information and the plurality of biometric models.

Claims

1. A computer-implemented method for displaying electronic multimedia content to a user, the method comprising:

generating a plurality of biometric models, each biometric model corresponding to one of a plurality of people;

receiving electronic media content over a network;

extracting image and audio data from the electronic media content;

detecting biometric information in the image and audio data; and

calculating a probability of the electronic media content involving one of the plurality of people, based on the biometric information and the plurality of biometric models.

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

applying the probability to a ranking or filtration of electronic media content; and

displaying electronic media content to users based on the ranking or filtration.

3. The computer-implemented method of claim 1, wherein the biometric models are generated based on facial recognition or speech recognition techniques.

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

receiving an input from a user indicating interest in a selected one of the plurality of people; and

notifying the user if electronic media content is determined to involve the selected one of the plurality of people.

5. The computer-implemented method of claim 1, wherein notifying the user is performed by emailing, text messaging, or electronic messaging the user with a link to the electronic media content.

6. A computer-implemented method for displaying electronic multimedia content to a user, the method comprising:

generating a plurality of biometric models, each biometric model corresponding to one of a plurality of people;

receiving electronic media content over a network;

extracting image or audio data from the electronic media content;

detecting biometric information in the image or audio data;

calculating a probability of the electronic media content involving one of the plurality of people, based on the biometric information and the plurality of biometric models;

receiving a search query including a person-specific modifier;

applying the probability to a ranking or filtration of electronic media content; and

displaying electronic media content to users based on the person-specific modifier.

7. The computer-implemented method of claim 6, wherein the biometric models are generated based on facial recognition or speech recognition techniques.

8. The computer-implemented method of claim 7, further comprising:

receiving an input from a user indicating interest in a selected one of the plurality of people; and

notifying the user if electronic media content is determined to involve the selected one of the plurality of people.

9. The computer-implemented method of claim 7, wherein notifying the user is performed by emailing, text messaging, or electronic messaging the user with a link to the electronic media content.

10. A system for displaying electronic multimedia content to a user, the system comprising:

a database storing instructions for displaying electronic multimedia content to a user; and

a processor configured to execute the instructions for;

generating a plurality of biometric models, each biometric model corresponding to one of a plurality of people;

receiving electronic media content over a network;

extracting image and audio data from the electronic media content;

detecting biometric information in the image and audio data; and

calculating a probability of the electronic media content involving one of the plurality of people, based on the biometric information and the plurality of biometric models.

11. The system of claim 10, wherein the processor is further configured for:

applying the probability to a ranking or filtration of electronic media content; and

displaying electronic media content to users based on the ranking or filtration.

12. The system of claim 10, wherein the biometric models are generated based on facial recognition or speech recognition techniques.

13. The system of claim 10, wherein the processor is further configured to execute the instructions for:

receiving an input from a user indicating interest in a selected one of the plurality of people; and

notifying the user if electronic media content is determined to involve the selected one of the plurality of people.

14. The system of claim 10, wherein notifying the user is performed by emailing, text messaging, or electronic messaging the user with a link to the electronic media content.

15. A non-transitory computer-readable medium storing instructions for performing a method of displaying electronic multimedia content to a user, the method comprising:

generating a plurality of biometric models, each biometric model corresponding to one of a plurality of people;

receiving electronic media content over a network;

extracting image or audio data from the electronic media content;

detecting biometric information in the image or audio data;

calculating a probability of the electronic media content involving one of the plurality of people, based on the biometric information and the plurality of biometric models;

receiving a search query including a person-specific modifier;

applying the probability to a ranking or filtration of electronic media content; and

displaying electronic media content to users based on the person-specific modifier.

16. The non-transitory computer-readable medium of claim 15, wherein the biometric models are generated based on facial recognition or speech recognition techniques.

17. The non-transitory computer-readable medium of claim 16, further comprising:

receiving an input from a user indicating interest in a selected one of the plurality of people; and

notifying the user if electronic media content is determined to involve the selected one of the plurality of people.

18. The non-transitory computer-readable medium of claim 17, wherein notifying the user is performed by emailing, text messaging, or electronic messaging the user with a link to the electronic media content.