Granted Patent B2

US 8,156,116 · App. 12/342,330 · Granted Apr 10, 2012

Assignee: Ricoh Co., Ltd

Abstract

Claims (37)

1. A computer-implemented method for retrieving and generating targeted information, the method comprising:

receiving an image;

performing, with a computer, document recognition using the image to produce recognized text;

producing a list of relevant topics using the recognized text and user profile information;

producing a list of relevant information using the recognized text and target information;

adjusting a weight of one of the list of relevant information based on user context information, the adjusting of the weight including determining word relevancy by calculating a distance from a center of the image outward using a distance measure; and

comparing the list of relevant topics to the list of relevant information to produce a final list of information.

2. The method of claim 1 , wherein the relevant information is a relevant advertisement.

3. The method of claim 1 , wherein

the image is captured with a mobile device and further comprising sending an indicator for the final list of information for display on the mobile device.

4. The method of claim 3 , wherein the indicator is a colored rectangle positioned near an outer edge of a screen of the mobile device.

5. The method of claim 3 , further comprising:

receiving user input selecting the indicator; and

sending enhanced content for display on the mobile device.

6. The method of claim 1 , further comprising sending the final list of information for display on a mobile device.

7. The method of claim 1 , further comprising adjusting a weight of one of the relevant topics in the list of relevant topics based on user context information.

8. The method of claim 7 , wherein the user context information includes one from the group of a patch image; a recognized document; a location and a page of the recognized document; recognized text from the patch image; surrounding text for the patch image; image features of the patch image; hotspot information; physical location where the image was captured; time of day when the image was captured; time of year when the image was captured; history of previous matches; other images that were captured before the latest one; and a user context.

9. The method of claim 1 , wherein comparing the list of relevant topics to the list of relevant information to produce the final list of information comprises using the relevant information with a highest weight value as the final list of information when no match between the list of relevant topics and the list of relevant information is found.

10. The method of claim 1 , wherein the user context information includes one from the group of a patch image; a recognized document; a location and a page of the recognized document; recognized text from the patch image; surrounding text for the patch image; image features of the patch image; hotspot information; physical location where the image was captured; time of day when the image was captured; time of year when the image was captured; history of previous matches; other images that were captured before the latest one; and a user context.

11. The method of claim 1 , wherein the user profile information includes user interests.

12. The method of claim 1 , comprising storing the final list of information in a user context database.

13. The method of claim 1 , wherein the user profile information includes at least one of the user's age, gender, residence and citizenship.

14. A computer program product embodied in a non-transitory computer useable medium storing a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

receive an image;

perform document recognition using the image to produce recognized text;

produce a list of relevant topics using the recognized text and user profile information;

produce a list of relevant information using the recognized text and target information;

adjust a weight of one of the list of relevant information based on user context information, adjusting the weight including determining word relevancy by calculating a distance from a center of the image outward using a distance measure; and

compare the list of relevant topics to the list of relevant information to produce a final list of information.

15. The non-transitory computer program product of claim 14 wherein the relevant information is a relevant advertisement.

16. The non-transitory computer program product of claim 14 wherein the image is captured with a mobile device and wherein the computer readable program when executed on a computer further causes the computer to send an indicator for the final list of information for display on the mobile device.

17. The non-transitory computer program product of claim 16 wherein the indicator is a colored rectangle positioned near an outer edge of a screen of the mobile device.

18. The non-transitory computer program product of claim 16 wherein the computer readable program when executed on a computer further causes the computer to:

receive user input selecting the indicator; and

send enhanced content for display on the mobile device.

19. The non-transitory computer program product of claim 14 wherein the computer readable program when executed on a computer further causes the computer to send the final list of information for display on a mobile device.

20. The non-transitory computer program product of claim 14 wherein the computer readable program when executed on a computer further causes the computer to adjust a weight to one of the relevant topics in the list of relevant topics based on user context information.

Assignments (1)

Continuity (41)