AD CREATIVE SELECTION BASED ON IMAGE CONTEXT

• US 20120310749A1
• Filed: 06/01/2011
• Published: 12/06/2012
• Est. Priority Date: 06/01/2011
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Everingham, James R.
• Application Number:
  US13/151,110
• Publication Number:
  US 20120310749A1
• Time in Patent Office: Days
• US Class Current: 705/14.72
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Disclosed herein are systems and method for providing contextually relevant advertisements, and/or facilitating digital media advertising campaigns. For example, in one embodiment, there is provided a method of providing a contextually relevant advertisement, based on a digitally published image, the method comprising: (a) receiving the image from a publisher; (b) analyzing the image to obtain the context of the image; (c) matching an advertisement campaign to the image, based on the context of the image; and (d) providing the publisher with an ad creative that is mutually relevant to the context of the image and the advertisement campaign. In one embodiment, the systems and methods described are used in digital media and computer-implemented advertising. Various other alternative aspects and embodiments are further described herein.

Claims

1. A method of providing a contextually relevant advertisement, based on a digitally published image, the method comprising:

(a) receiving the image from a publisher;

(b) collecting data on the image;

(c) collecting data on one or more advertisers; and

(d) based on the data collected in steps (b) and (c), providing the publisher with an ad creative that is mutually relevant to the image and the one or more advertisers.

2. The method of claim 1, wherein step (a) is performed by having the image pushed, pulled, or scraped from the publisher.

3. The method of claim 1, wherein step (b) is performed by an image recognition engine.

4. The method of claim 1, wherein step (b) is performed by crowdsourcing.

5. The method of claim 1, wherein step (b) includes identifying the context of the image.

6. The method of claim 5, wherein step (c) includes identifying campaign metrics for the one or more advertisers.

7. The method of claim 6, further comprising:

providing the context of the image to the one or more advertisers.

8. The method of claim 7, wherein the ad creative is provided by the one or more advertisers.

9. A method of providing a contextually relevant advertisement, based on a digitally published image, the method comprising:

(a) receiving the image from a publisher;

(b) analyzing the image to obtain the context of the image;

(c) matching an advertisement campaign to the image, based on the context of the image; and

(d) providing the publisher with an ad creative that is mutually relevant to the context of the image and the advertisement campaign.

10. The method of claim 9, wherein step (a) is performed by having the image pushed, pulled, or scraped from the publisher.

11. The method of claim 9, wherein step (b) is performed by an image recognition engine.

12. The method of claim 9, wherein step (b) is performed by crowdsourcing.

13. The method of claim 9, further comprising:

providing the context of the image to one or more advertisers, such that the one or more advertisers can provide metrics for performing step (c).

14. The method of claim 13, wherein the ad creative is provided by the one or more advertisers.

15. A method of facilitating a digital advertisement campaign, the method comprising:

(a) identifying an image on a digital platform;

(b) analyzing the image to identify the context of the image;

(c) creating a standardized image key based on the context of the image; and

(d) providing the standardized image key to one or more advertisers.

16. The method of claim 15, wherein step (a) is performed by having the image pushed, pulled, or scraped from the digital platform.

17. The method of claim 15, wherein step (b) is performed by an image recognition engine.

18. The method of claim 15, wherein step (b) is performed by crowdsourcing.

19. The method of claim 15, wherein step (d) is performed by submitting the standardized image key to an ad server, wherein the standardized image key is used to automatically match the image to a relevant ad creative based on pre-set campaign metrics.

20. The method of claim 19, wherein the standardize image key includes a matrix of image variables, and wherein the pre-set campaign metrics include a matrix of campaign variables that correspond to respective image variables.

21. The method of claim 19, further comprising:

pulling an ad creative from the ad server based on the standardized image key; and

forwarding the ad creative to the digital platform.

22. A method of facilitating a digital advertisement campaign, the method comprising:

(a) identifying an image on a digital platform;

(b) analyzing the image to identify content-specific image data;

(c) assigning a standardized image key to the image, wherein the standardized image key is based on a pre-defined image data matrix with variables that correspond to campaign metrics maintained by one or more advertisers on an ad server;

(d) providing the standardized image key to the ad server, wherein the standardized image key is used to match the image to a relevant ad creative;

(e) pulling the ad creative from the ad server; and

(f) forwarding the ad creative to the digital platform.

23. The method of claim 22, wherein step (b) is performed by an image recognition engine.

24. The method of claim 22, wherein step (b) is performed by crowdsourcing.