Generating Tailored Content Based On Scene Image Detection

• US 20110295693A1
• Filed: 06/01/2010
• Published: 12/01/2011
• Est. Priority Date: 06/01/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Clavin, John, Kornblum, Aaron
• Application Number:
  US12/791,646
• Publication Number:
  US 20110295693A1
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04N 21/23424 involving splicing one content stream with another content stream, e.g. for inserting or substituting an advertisement
• CPC Class Codes: H04N 21/44008 involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4781 Games
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A method for generating tailored content for a user based on analyzing images of a scene is provided. Images from a scene captured by a capture device of a target recognition and analysis system are received. The images are analyzed to detect one or more brand identifiers in the images. In an embodiment, the brand identifiers include symbols or words identifying a brand, product or service associated with the brand identifier. The detected brand identifiers are compared to one or more known brand identifiers and user preference information is assigned to the detected brand identifiers based on the comparison. Tailored content is generated for the user based on the user preference information. The tailored content is rendered on a display device to the user.

Claims

1. A computer implemented method for generating tailored content for a user based on analyzing images in a scene comprising:

receiving one or more images from a scene captured by a capture device in a target recognition and analysis system, wherein the one or more images include a user of the target recognition and analysis system;

analyzing the one or more images to detect one or more brand identifiers in the images;

comparing one or more detected brand identifiers to at least one or more known brand identifiers;

assigning user preference information to the one or more detected brand identifiers based on the comparing;

generating tailored content for the user based on the user preference information; and

rendering the tailored content on a display device of the target recognition and analysis system to the user.

2. The computer implemented method of claim 1 wherein the brand identifier includes at least one of symbols or words identifying a brand, product or service associated with the brand identifier.

3. The computer implemented method of claim 1 wherein assigning the user preference information to the one or more detected brand identifiers further comprises assigning a brand affinity value to the one or more detected brand identifiers.

4. The computer implemented method of claim 3 wherein the user preference information corresponds to a user preference of a specific brand associated with the detected brand identifier.

5. The computer implemented method of claim 3 wherein the brand affinity value corresponds to a frequency of use or wear by the user of the detected brand identifier.

6. The method of claim 1 comprising comparing one or more detected brand identifiers to at least one or more brand identifiers with existing user preference information.

7. The method of claim 1 wherein generating the tailored content for the user comprises providing at least one of a targeted product advertisement or a targeted broadcast event to the user.

8. The method of claim 1 wherein generating the tailored content for the user comprises providing at least one of a related product offer, a genre related product offer and a location related product offer to the user.

9. The method of claim 1 wherein generating the tailored content for the user comprises providing a targeted product advertisement to an avatar associated with the user.

10. The method of claim 7 wherein rendering the tailored content on a display device of the target recognition and analysis system comprises rendering at least one of the targeted product advertisement or the targeted broadcast event to the user.

15. The method of claim 1 wherein generating the tailored content for the user comprises providing at least one of a related product offer, a genre related product offer and a location related product offer to the user of the target recognition and analysis system.

11. A computer implemented method for generating tailored content for a user based on analyzing images of a scene comprising:

receiving one or more images from a scene captured by a capture device, wherein one or more of the images include a user of the target recognition and analysis system, one or more secondary users and one or more objects in the scene;

analyzing the one or more images to detect one or more items of interest in the images that include the user of the target recognition and analysis system, wherein the one or more items of interest include one or more brand identifiers in the one or more images;

analyzing the one or more images to detect one or more items of interest in the images that include at least one of the one or more secondary users and one or more of the objects in the scene, wherein the one or more items of interest include one or more brand identifiers in the one or more images;

assigning user preference information based on at least one of an analysis of the items of interest in the one or more images that include the user or the items of interest in the one or more images that include the one or more secondary users and the one or more objects;

generating tailored content for the user of the target recognition and analysis system based on the user preference information, wherein generating the tailored content comprises providing at least one of a targeted product advertisement and a targeted broadcast event to the user; and

rendering the tailored content on a display device of the target recognition and analysis system to the user.

12. The computer implemented method of claim 11 wherein the brand identifiers include at least one of symbols or words identifying a brand, product or service associated with the brand identifiers.

13. The computer implemented method of claim 11 wherein the user preference information corresponds to a user preference of a specific brand associated with the brand identifiers.

14. The computer implemented method of claim 11 wherein generating the tailored content is based on at least one of activity information, brand information, product information and similar brand information associated with the brand identifiers.

16. A gaming system comprising:

a network gaming service in communication with a plurality of consoles, wherein the network gaming service comprises a;

a global image matching module for assigning user preference information based on an analysis of one or more items of interest in one or more images of a scene captured by a capture device;

a user product advertisement service for providing a targeted product advertisement to one or more users on the plurality of consoles based on the user preference information; and

a user broadcast event service for providing a targeted broadcast event to the one or more users on the plurality of consoles based on the user preference information.

17. The gaming system of claim 16, wherein the one or more items of interest comprise one or more brand identifiers in the one or more images.

18. The computer implemented method of claim 17 wherein the brand identifiers include at least one of symbols or words identifying a brand, product or service associated with the brand identifiers.

19. The gaming system of claim 16 wherein the analysis is based on comparing the one or more images of the scene to one or more stored images to assign the user preference information.

20. The gaming system of claim 16 wherein the user product advertisement service provides at least one of a related product offer, a genre related product offer and a location related product offer to the users on the plurality of consoles.