SELECTION OF TARGETED CONTENT BASED ON CONTENT CRITERIA AND A PROFILE OF USERS OF A DISPLAY

• US 20130195322A1
• Filed: 01/27/2012
• Published: 08/01/2013
• Est. Priority Date: 01/27/2012
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Santhiveeran, Soma Sundaram, Moreira, Ricardo Bueno, Wasielewski, Cristiane Karasek, Hoffmeister, Gilson, Machado, Leonardo Alves, Pereira, Walter Flores, Detoni, Gabriel Girardello, Debom, Iara Rapaki
• Application Number:
  US13/360,527
• Publication Number:
  US 20130195322A1
• Time in Patent Office: Days
• US Class Current: 382/118
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

Systems and methods for selecting targeted content are provided. An image is determined, and a set of faces in the image are also determined. Each face corresponds with a user of a display. A characteristic profile of the set of faces in the image is determined. The characteristic profile is compared to targeting criteria associated with a multimedia content item, to generate a comparison result. A multimedia content item of a plurality of multimedia content items is selected, based on the comparison result.

Claims

1. A method for selecting targeted content, the method comprising:

determining, by an imaging device, an image;

determining a set of faces in the image, wherein each face corresponds with a user of a display;

determining a characteristic profile of the set of faces in the image;

comparing the characteristic profile to targeting criteria associated with a multimedia content item of a plurality of multimedia content items to generate a comparison result; and

selecting a multimedia content item of the plurality of multimedia content items based on the comparison result.

2. The method of claim 1, wherein the characteristic profile of the set of faces in the image includes a member-specific characteristic of each face in the set of faces.

3. The method of claim 2, further comprising prioritizing the member-specific characteristics of at least one face in the set of faces.

4. The method of claim 1, the characteristic profile of the set of faces in the image includes a group-wide characteristic of the faces in the set.

5. The method of claim 4, wherein the group-wide characteristic is a characteristic of a majority among the set of faces.

6. The method of claim 1, wherein the characteristic profile of the set of faces in the image includes a demographic characteristic of each face in the set of faces.

7. The method of claim 1, wherein the targeting criteria includes a condition describing a facial characteristic.

8. The method of claim 1, wherein the targeting criteria includes a condition describing an extrinsic attribute, wherein the extrinsic attribute is at least one of a time of day, a date, a location of a display device, and an environmental attribute.

9. The method of claim 1, wherein comparing comprises measuring the comparison result against a minimum relevancy threshold.

10. The method of claim 1, further comprising presenting the content on a display screen of the display.

11. A system for selecting targeted content, comprising:

an imaging device to capture an image of an audience;

a sensor to capture environmental data;

an audience detection module to;

determine a set of faces in the image of the audience, wherein each face corresponds with a user of a display, and

determine a characteristic profile of the set of faces in the image;

a content selection engine to;

compare the characteristic profile and environmental data to targeting criteria associated with a multimedia content item of a plurality of multimedia content items to generate a comparison result; and

select a multimedia content item of the plurality of multimedia content items based on the comparison result.

12. The system of claim 11, wherein the characteristic profile of the set of faces in the image includes a member-specific characteristic of each face in the set of faces.

13. The system of claim 12, further comprising prioritizing the member-specific characteristics of at least one face in the set of faces.

14. The system of claim 11, the characteristic profile of the set of faces in the image includes a group-wide characteristic of the faces in the set.

15. The system, of claim 14, wherein the group-wide characteristic is a characteristic of a majority among the set of faces.

16. The system of claim 11, wherein the characteristic profile of the set of faces in the image includes a demographic characteristic of each face in the set of faces.

17. A non-transitory computer-readable medium storing a plurality of instructions to control a data processor to select targeted content, the plurality of instructions comprising instructions that cause the data processor to:

receive an image;

determine a set of faces in the image, wherein each face corresponds will a user of a display;

determine a characteristic profile of the set of faces in the image;

compare the characteristic profile to targeting criteria associated with a multimedia content item of a plurality of multimedia content items to generate a comparison result; and

select a multimedia content em of the plurality of multimedia content items based on the comparison result.

18. The non-transitory computer-readable medium of claim 17, wherein the characteristic profile of the set of faces in the image includes a member-specific characteristic of each face in the set of faces.

19. The non-transitory computer-readable medium of claim 17, the characteristic profile of the set of faces in the image includes a group-wide characteristic of the faces in the set.

20. The method of claim 17, wherein the characteristic profile of the set of faces in the image includes a demographic characteristic of each face in the set of faces.