MEDIA OBJECT METADATA ENGINE CONFIGURED TO DETERMINE RELATIONSHIPS BETWEEN PERSONS AND BRANDS

• US 20100179874A1
• Filed: 01/13/2009
• Published: 07/15/2010
• Est. Priority Date: 01/13/2009
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Davis, Marc E., O'Sullivan, Joseph, Martinez, Ronald, Paretti, Christopher T., Higgins, Christopher
• Application Number:
  US12/353,086
• Publication Number:
  US 20100179874A1
• Time in Patent Office: Days
• US Class Current: 705/14.530
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06V 20/10 Terrestrial scenes scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59
• CPC Class Codes: G06V 20/30 in albums, collections or shared content, e.g. social network photos or video
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence

Abstract

A media object, such as an image file, a video file, or an audio file, is analyzed to determine relationships between brands having representations captured in the media object, and persons associated with the media object (e.g., persons captured in the media object and/or a person that captured the media object). A representation of a brand captured in a media object is detected. The media object is analyzed to determine at least one indicator of a relation between the brand and a person associated with the media object. A relationship between the brand and person is predicted based at least on the determined at least one relation indicator. The media object may be monetized in various ways, such as by directing advertisements (e.g., advertisements related to the detected brand) to persons associated with the media object, and/or to persons having social connections to the persons associated with the media object.

Claims

1. A computer-implemented method, comprising:

detecting a brand having a representation captured in a media object;

analyzing the media object to determine at least one indicator of a relation between the brand and a person associated with the media object; and

predicting a relationship between the brand and the person based at least on the determined at least one relation indicator.

2. The method of claim 1, wherein the media object includes an image, and a representation of the brand is captured in the image.

3. The method of claim 2, wherein a representation of the person is captured in the image.

4. The method of claim 3, wherein said analyzing comprises:

analyzing the image to determine at least one of a distance between the brand and the person in the image, a facial expression of the person in the image, an amount of contact between the brand and the person in the image, a body expression of the person in the image, an activity of the person in the image, a total number of persons in the image, or a co-presence of brands in the image.

5. The method of claim 2, wherein the image was captured by the person.

6. The method of claim 5, wherein said analyzing comprises:

analyzing the image to determine at least one of a distance between the brand and an image capturing device used by the person to capture the image, a proportion of the brand visible in the image, a total number of persons in the image, or a total number of brands in the image.

7. The method of claim 1, wherein the media object includes an audio object, the audio object including recorded sound related to the brand and recorded voice of at least one person.

8. The method of claim 7, wherein said analyzing comprises:

analyzing the audio object to determine an attitude of the person or an activity of the person related to the brand.

9. The method of claim 1, wherein said analyzing includes at least one of performing image recognition on the media object, performing facial recognition on the media object, or performing voice recognition on the media object.

10. The method of claim 1, wherein said predicting comprises:

predicting the relationship between the brand and the person based at least on the determined at least one relation indicator and at least one of a time at which the media object was captured, a location at which the media object was captured, a representation of a second person captured in the media object, post-capture interaction data associated with the media object, or post-capture annotation of the media object.

11. The method of claim 1, further comprising:

associating data representative of the predicted relationship with the media object.

12. The method of claim 11, wherein said associating comprises:

instrumenting the media object with a contact link for at least one of the first person, or a second person associated with the first person.

13. The method of claim 1, further comprising:

selecting an advertisement based at least partially on the predicted relationship; and

associating the advertisement with the media object.

14. The method of claim 1, further comprising:

selecting an advertisement based at least partially on the predicted relationship; and

providing the advertisement for display to at least one of the first person or a second person associated with the first person.

15. A system, comprising:

a media object metadata engine that includes a brand representation detector, a person-brand relation determiner, and a person-brand relationship predictor;

wherein the brand representation detector is configured to detect a brand having a representation captured in a media object;

wherein the person-brand relation determiner is configured to analyze the media object to determine at least one indicator of a relation between the brand and a person associated with the media object; and

wherein the person-brand relationship predictor is configured to predict a relationship between the brand and the person based at least on the determined at least one relation indicator.

16. The system of claim 15, wherein the media object includes an image, and a representation of the brand is captured in the image.

17. The system of claim 16, wherein a representation of the person is captured in the image.

18. The system of claim 17, wherein the person-brand relation determiner is configured to analyze the image to determine at least one of a distance between the brand and the person in the image, a facial expression of the person in the image, an amount of contact between the brand and the person in the image, a body expression of the person in the image, an activity of the person in the image, a total number of persons in the image, or a co-presence of brands in the image.

19. The system of claim 16, wherein the image was captured by the person.

20. The system of claim 19, wherein the person-brand relation determiner is configured to analyze the image to determine at least one of a distance between the brand and an image capturing device used by the person to capture the image, a proportion of the brand visible in the image, a total number of persons in the image, or a total number of brands in the image.

21. The system of claim 15, wherein the media object includes an audio object, the audio object including recorded sound related to the brand and recorded voice of at least one person.

22. The system of claim 21, wherein the person-brand relation determiner is configured to analyze the audio object to determine an attitude of the person or an activity of the person related to the brand.

23. The system of claim 15, wherein the person-brand relation determiner is configured to perform at least one of image recognition, facial recognition, or voice recognition on the media object.

24. The system of claim 15, wherein the person-brand relationship predictor is configured to predict the relationship between the brand and the person based at least on the determined at least one relation indicator and at least one of a time at which the media object was captured, a location at which the media object was captured, a representation of a second person captured in the media object, post-capture interaction data associated with the media object, or post-capture annotation of the media object.

25. The system of claim 15, wherein the media object metadata engine further includes a media object packager configured to associate data representative of the predicted relationship with the media object.

26. The system of claim 25, wherein the media object packager is configured to instrument the media object with a contact link for at least one of the first person, or a second person associated with the first person.

27. The system of claim 25, further comprising:

a media object monetization engine configured to select an advertisement based at least partially on the predicted relationship;

wherein the media object packager is configured to associate the advertisement with the media object.

28. The system of claim 26, further comprising:

a media object monetization engine configured to select an advertisement based at least partially on the predicted relationship;

wherein the advertisement is provided for display to at least one of the first person or a second person associated with the first person.

29. A computer program product comprising a computer-readable medium having computer program logic recorded thereon for enabling a processor to process a media object, comprising:

first means for enabling the processor to detect a brand having a representation captured in a media object;

second means for enabling the processor to analyze the media object to determine at least one indicator of a relation between the brand and a person associated with the media object; and

third means for enabling the processor to predict a relationship between the brand and the person based at least on the determined at least one relation indicator.