Facilitating bidding on images

• US 8,346,604 B2
• Filed: 03/08/2012
• Issued: 01/01/2013
• Est. Priority Date: 12/28/2007
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Jing, Yushi, Baluja, Shumeet
• Primary Examiner(s): Patel, Jagdish
• Assistant Examiner(s): HAMILTON, SARA CHANDLER
• Application Number:
  US13/415,410
• Publication Number:
  US 20120166293A1
• Time in Patent Office: 299 Days
• Field of Search: 705/14.4, 705/14.71, 705/26.3, 705/37
• US Class Current: 705/14.4
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0275 Auctions
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

Techniques are described for facilitating bidding on images. The techniques may include receiving bids includes presenting a first image and a bid associated with the first image. The first image is similar to a second image for which a bid is to be submitted for presenting sponsored content based on the second image. A bid is received for presenting a sponsored-content item based on the second image. The received bid is stored in association with second image and a sponsored-content item based to be presented based on the bid and the second image.

Claims

1. A method comprising:

receiving, by one or more computers, a reference image;

identifying, by the one or more computers, a sub-image of the reference image by analyzing the reference image,

receiving, by the one or more computers, a bid associated with the sub-image of the reference image, the bid comprising a bid for presenting a sponsored-content item,

storing, by the one or more computers, the received bid in association with the reference image and the sponsored-content item;

in response to a request for an advertisement, the request including a bid image, identifying, by the one or more computers, a sub-image of the bid image by analyzing the bid image and comparing, by the one or more computers, the reference image to the bid image wherein comparing the reference image to the bid image comprises comparing the sub-image of the bid image to the sub-image of the reference image;

determining, by the one or more computers, a similarity between the reference image and the bid image based on the comparison, wherein determining the similarity comprises;

generating a likelihood that the sub-image of the bid image is the same as the sub-image of the reference image using object recognition techniques, and

determining whether the bid image is similar to the reference image based on a comparison between the likelihood and a threshold; and

presenting, by the one or more computers, the sponsored-content item based on the similarity between the reference image and the bid image.

2. The method of claim 1, wherein receiving the reference image comprises receiving a collection of reference images, and the method further comprises:

storing the collection of reference images; and

storing the received bid in association with the collection of reference images and the sponsored-content item to be presented based on the bid and a bid image that is similar to at least one image in the collection of reference images.

3. The method of claim 1, wherein comparing the reference image to the bid image comprises comparing the reference image to the bid image to determine whether the bid image is identical to the reference image.

4. The method of claim 1 wherein comparing the reference image to the bid image comprises comparing the reference image to the bid image to determine whether the bid image is substantially similar to the reference image.

5. The method of claim 1 wherein identifying the sub-image of the reference image comprises receiving an indication of a portion that is less than all of the reference image.

6. The method of claim 1 wherein the received bid represents a maximum bid for presenting a sponsored-content item based on the reference image.

7. An electronic system comprising:

one or more processing devices; and

one or more machine-readable media configured to store instructions that are executable by the one or more processing devices to perform operations comprising;

identifying a sub-image of a received reference image by analyzing the reference image,

receiving a bid associated with the sub-image of the reference image, the bid comprising a bid for presenting a sponsored-content item,

storing the received bid in association with the reference image and the sponsored-content item;

in response to a request for an advertisement, the request including a bid image, identifying a sub-image of the bid image by analyzing the bid image and comparing the sub-image of the bid image to the sub-image of the reference image;

determining a similarity between the reference image and the bid image based on the comparison, wherein determining the similarity comprises;

generating a likelihood that the sub-image of the bid image is the same as the sub-image of the reference image using object recognition techniques, and

determining whether the bid image is similar to the reference image based on a comparison between the likelihood and a threshold; and

presenting the sponsored-content item based on the similarity between the reference image and the bid image.

8. The system of claim 7, wherein the instructions for receiving the reference image comprise instructions for receiving a collection of reference images, and the instructions further comprise instructions that are executable by the one or more processing devices to perform operations comprising:

storing the collection of reference images; and

storing the received bid in association with the collection of reference images and the sponsored-content item to be presented based on the bid and a bid image that is similar to at least one image in the collection of reference images.

9. The system of claim 7, wherein the instructions for comparing the reference image to the bid image comprise instructions for comparing the reference image to the bid image to determine whether the bid image is identical to the reference image.

10. The system of claim 7, wherein the instructions for comparing the reference image to the bid image comprise instructions for comparing the reference image to the bid image to determine whether the bid image is substantially similar to the reference image.

11. The system of claim 7, wherein the instructions for identifying the sub-image of the reference image comprise instructions for receiving an indication of a portion that is less than all of the reference image.

12. The system of claim 7 wherein the received bid represents a maximum bid for presenting a sponsored-content item based on the reference image.

13. A non-transitory computer readable medium storing software comprising instructions executable by a processing device that upon such execution cause the processing device to perform operations comprising:

identifying a sub-image of a received reference image by analyzing the reference image,

receiving a bid associated with the sub-image of the reference image, the bid comprising a bid for presenting a sponsored-content item,

storing the received bid in association with the reference image and the sponsored-content item;

in response to a request for an advertisement, the request including a bid image, identifying a sub-image of the bid image by analyzing the bid image and comparing the sub-image of the bid image to the sub-image of the reference image;

determining a similarity between the reference image and the bid image based on the comparison, wherein determining the similarity comprises;

generating a likelihood that the sub-image of the bid image is the same as the sub-image of the reference image using object recognition techniques, and

determining whether the bid image is similar to the reference image based on a comparison between the likelihood and a threshold; and

presenting the sponsored-content item based on the similarity between the reference image and the bid image.

14. The non-transitory computer readable medium of claim 13, wherein the instructions for receiving the reference image comprise instructions for receiving a collection of reference images, and the instructions further comprise instructions that are executable by the one or more processing devices to perform operations comprising:

storing the collection of reference images; and

storing the received bid in association with the collection of reference images and the sponsored-content item to be presented based on the bid and a bid image that is similar to at least one image in the collection of reference images.

15. The non-transitory computer readable medium of claim 13, wherein the instructions for comparing the reference image to the bid image comprise instructions for comparing the reference image to the bid image to determine whether the bid image is identical to the reference image.

16. The non-transitory computer readable medium of claim 13, wherein the instructions for comparing the reference image to the bid image comprise instructions for comparing the reference image to the bid image to determine whether the bid image is substantially similar to the reference image.

17. The non-transitory computer readable medium of claim 13, wherein the instructions for identifying the sub-image of the reference image comprise instructions for receiving an indication of a portion that is less than all of the reference image.

18. The non-transitory computer readable medium of claim 13, wherein the received bid represents a maximum bid for presenting a sponsored-content item based on the reference image.