APPLYING IMAGE-BASED CONTEXTUAL ADVERTISEMENTS TO IMAGES

• US 20090148045A1
• Filed: 12/07/2007
• Published: 06/11/2009
• Est. Priority Date: 12/07/2007
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: ZHANG, HENG, LEE, PHILIP, ZEN, LEE-MING
• Application Number:
  US11/952,290
• Publication Number:
  US 20090148045A1
• Time in Patent Office: Days
• US Class Current: 382/190
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06T 11/00 2D [Two Dimensional] image generation

Abstract

Systems, methods, computer-readable media, and graphical user interfaces for applying image-based contextual advertisements to images are provided. An image analyzing module and advertisement analyzing module analyze images and advertisements to identify image attributes and advertisement attributes. Upon identifying image attributes and advertisement attributes, advertisements deemed contextually relevant to an image are determined. In some embodiments, the contextually relevant advertisements are ranked. Thereafter, one or more contextually relevant advertisements are associated with the image. The one or more contextually relevant advertisements are presented based on preferences and/or features.

Claims

1. One or more computer-readable media having computer-executable instructions embodied thereon that, when executed, perform a method for determining image-based contextual advertisements to apply to an image, the method comprising:

referencing one or more image-associated attributes, wherein at least one of the one or more image-associated attributes comprises a primary image-associated attribute that relates to an first image-associated media comprising an image and at least one of the one or more image-associated attributes comprises a secondary image-associated attribute that relates to a second image-associated media; and

utilizing the one or more image-associated attributes to determine one or more advertisements contextually relevant to the image.

2. The computer-readable media of claim 1 further comprising referencing one or more advertisement attributes.

3. The computer-readable media of claim 2 further comprising utilizing the one or more advertisement attributes to determine one or more advertisements contextually relevant to the image.

4. The computer-readable media of claim 1, wherein each of the one or more image-associated attributes comprise a keyword, a category, a classifier, a datum, a position, a size, a value, a color, a format, a title, an object, a scene, and a combination thereof.

5. The computer-readable media of claim 3, wherein the one or more advertisement attributes comprise a keyword, a category, a classifier, a datum, a position, a size, a value, a color, a format, a title, an object, a scene, and a combination thereof.

6. The computer-readable media of claim 3, wherein determining one or more advertisements contextually relevant to the image comprises comparing the one or more image-associated attributes with the one or more advertisement attributes.

7. The computer-readable media of claim 1, wherein the one or more image-associated attributes comprise a characteristic describing at least one an image-associated media.

8. The computer-readable media of claim 7, wherein the at least one image-associated media comprises electronic media information associated with an image or prospectively associated with an image.

9. The computer-readable media of claim 8, wherein the electronic media information comprises a video, an audio, a song, a movie, a multimedia presentation, a slide presentation, a document, an image, a game, a website, a webpage, a blog entry, or a portion thereof.

10. A method for applying image-based contextual advertisements to images, the method comprising:

identifying one or more preferences for one of a contextually relevant advertisement or an image, wherein the one or more preferences comprise a color preference, a position preference, a format preference, a content preference, or a combination thereof;

determining the integration of the advertisement contextually relevant with the image based on the one or more identified preferences; and

applying the contextually relevant advertisement to the image.

11. The method of claim 10 further comprising referencing the advertisement contextually relevant to the image.

12. The method of claim 10, wherein determining the integration of the advertisement with the image comprises determining modifications to apply to one of the advertisement or the image.

13. The method of claim 12, further comprising applying one or more modifications to the one of the advertisement or the image.

14. The method of claim 13, wherein the one or more modifications comprise a color modification, a size modification, a format modification, and the like.

15. The method of claim 10 further comprising verifying that the contextually relevant advertisement may be applied to the image, wherein the verification comprises utilizing the one or more preferences.

16. The method of claim 10 further comprising presenting the contextually relevant advertisement.

17. The method of claim 16 further comprising identifying one or more features to utilize in presenting the contextually relevant advertisement.

18. The method of claim 17, wherein the one or more features comprise a visual effect, an image processing effect, a script effect, or a combination thereof.

19. A computerized system for applying image-based contextual advertisements to images, the system comprising:

an image analyzing module configured to analyze one or more image-associated media and identify one or more image-associated attributes, wherein at least one of the one or more image-associated attributes comprise a primary image-associated attribute and at least one of the one or more image-associated attributes comprise a secondary image-associated attribute;

an advertisement analyzing module configured to analyze one or more advertisements and identify one or more advertisement attributes;

an advertisement determining module configured to determine one or more contextually relevant advertisements, wherein one or more contextually relevant advertisements are determined based on the at least one primary image-associated attribute, the at least one secondary image-associated attribute, and the one or more advertisement attributes; and

a contextual advertisement applying module configured to apply the one or more contextually relevant advertisements to the image based on one or more preferences, one or more features, or a combination thereof.

20. The system of claim 19, wherein the contextual advertisement applying module verifies that the contextually relevant advertisement may be applied to the image, wherein the verification comprises utilizing the one or more preferences.