Online marketplace system, method, and computer readable medium for providing flaw accentuation to an image of an item for sale

• US 10,319,014 B2
• Filed: 12/31/2015
• Issued: 06/11/2019
• Est. Priority Date: 12/31/2015
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Glasgow, Dane, Eramian, David, Godsey, Sandy, VanWinkle, Justin
• Primary Examiner(s): Allen, William J
• Application Number:
  US14/986,486
• Publication Number:
  US 20170193594A1
• Time in Patent Office: 1,258 Days
• CPC Class Codes: G06F 18/24 Classification techniques
• CPC Class Codes: G06Q 30/0609 Buyer or seller confidence or verification
• CPC Class Codes: G06Q 30/0613 Third-party assisted
• CPC Class Codes: G06Q 30/0619 Neutral agent
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers
• CPC Class Codes: G06T 5/00 Image enhancement or restoration
• CPC Class Codes: G06T 7/00 Image analysis
• CPC Class Codes: G06T 7/0002 Inspection of images, e.g. flaw detection

Abstract

Systems and methods are disclosed to provide flaw accentuation to an image in an e-commerce online marketplace. In some embodiments, a method may include receiving at an online marketplace, from a seller through the Internet, an image of an item being listed for sale at the online marketplace and text related to the item being listed for sale; determining that the item includes a flaw based on the text related to the item being listed for sale or the image of the item; creating a flaw accentuation to the image; and creating a listing in the online marketplace for the item that includes the image and the flaw accentuation to the image.

Claims

1. A method for providing flaw accentuation to an image of an item for sale in an e-commerce online marketplace, the method comprising:

receiving at one or more servers that host an online marketplace, an image of an item being listed for sale at the online marketplace and text that describes the item from a seller through the Internet;

determining, by the one or more servers, that the item includes a flaw based at least partially on the text, the flaw including damage to the item;

in response to a determination that the item includes the flaw, creating, by the one or more servers, a flaw accentuation to the image that modifies the image such that the flaw stands out;

further creating, by the one or more servers, a listing in the online marketplace for the item, the listing including the image and the flaw accentuation to the image; and

in response to a search query;

demoting, by the one or more servers, a ranking of the created listing to change an order of items displayed to a buyer in response to the search request; and

causing, by the one or more servers, display of the created listing for the item consistent with the changed order of items.

2. The method according to claim 1, wherein creating the flaw accentuation comprises applying a digital image filter to the image.

3. The method according to claim 2, wherein the digital image filter comprises a digital image filter selected from the list consisting of a contrast accentuation digital image filter, a color inversion digital image filter, a spatial domain digital image filter, detecting digital image filters, an unsharp digital image filter, a Laplacian digital image filter, a Gaussian digital image filter, and a smoothing digital image filter.

4. The method according to claim 1, wherein:

the determining that the item includes the flaw includes determining a flaw type based on the text; and

the method further comprises determining a flaw accentuation type based on the flaw type.

5. The method according to claim 4, wherein determining the flaw accentuation type based on the flaw type further comprises looking up the flaw accentuation type in a database that correlates flaw accentuation type with item type.

6. The method according to claim 1, wherein the determining that the item includes the flaw includes determining whether the text includes a term selected from the list consisting of scratch, chip, dent, fold, crack, water damage, stain, discoloration, fading, hole, ink stain, and gouge.

7. The method according to claim 1, wherein:

the text related to the item includes text indicating an item type;

the determining that the item includes the flaw includes looking up in a database one or more specific flaw types that are correlated with the item type in the database; and

the flaw accentuation is created based on the one or more specific flaw types.

8. The method according to claim 1, wherein the determining that the item includes the flaw includes determining whether the image is an altered image.

9. The method according to claim 8, wherein the determining whether the image is the altered image is based on metadata associated with the image.

10. The method according to claim 8, wherein the determining whether the image is the altered image is based on results of one or both of a forensic analysis and a digital image filter.

11. The method according to claim 8, wherein the determining whether the image is the altered image further comprises:

sending the image to forensic analysis service via the Internet; and

receiving a forensic analysis from the forensic analysis service.

12. The method according to claim 1, wherein the creating the listing includes creating a listing in the online marketplace for the item that includes the image and a second image that includes the flaw accentuation to the image.

13. The method according to claim 1, further comprising:

receiving listing information from the seller for listing the item for sale in the online marketplace;

determining that the item includes a digital display;

providing a sample image to the seller;

receiving a digital photograph of the item displaying the sample image on the digital display; and

comparing the received digital photograph with the sample image to determine a difference between the digital photograph and the sample image,

wherein the determining that the item includes the flaw is further based at least partially on a comparison between the difference and a threshold value.

14. The method according to claim 13, wherein providing a sample image to the seller includes at least one of the following selected from the list consisting of:

emailing the sample image to the seller; and

providing a link pointing to the sample image located at a network location.

15. The method according to claim 13, wherein:

the listing information comprises an item type; and

determining that the item includes the digital display comprises determining whether the item type corresponds with item types having a digital display.

16. The method of claim 8, further comprising in response to determining that the image is an altered image, sending a request to the seller through a network interface for an unaltered image.

17. The method according to claim 13, wherein the comparing is performed pixel by pixel or region by region.

18. One or more non-transitory computer-readable media storing one or more programs that in response to execution by one or more processors cause or direct a system to perform operations comprising:

receiving at one or more servers that host an online marketplace, an image of an item being listed for sale at the online marketplace and text that describes the item from a seller through the Internet;

determining, by the one or more servers, that the item includes a flaw based at least partially on the text, the flaw including damage to the item;

tin response to a determination that the item includes the flaw, creating, by the one or more servers, a flaw accentuation to the image that modifies the image such that the flaw stands out;

further creating, by the one or more servers, a listing in the online marketplace for the item, the listing including the image and the flaw accentuation to the image;

in response to a search query;

demoting, by the one or more servers, a ranking of the created listing to change an order of items displayed in response to the search query; and

causing, by the one or more servers, display of the created listing for the item consistent with the changed order of items.

19. The one or more non-transitory computer-readable media according to claim 18, wherein:

the determining that the item includes the flaw includes determining whether the image is an altered image is based on one or both of metadata associated with the image and results of a forensic analysis and digital image filter; and

the operations further comprise responsive to a determination that the image is an the altered image, sending a request to the seller through a network interface for an unaltered image.

20. An online marketplace system, comprising:

one or more processors;

a network interface;

one or more non-transitory computer-readable media storing one or more programs that in response to execution by the one or more processors cause or direct the online marketplace system to perform operations comprising;

receiving at one or more servers that host an online marketplace, an image of an item being listed for sale at the online marketplace and text that describes the item from a seller through the Internet;

determining, by the one or more servers, that the item includes a flaw based at least partially on the text, the flaw including damage to the item;

in response to a determination that the item includes the flaw, creating a flaw accentuation to the image that modifies the image such that the flaw stands out;

further creating, by the one or more servers, a listing in the online marketplace for the item, the listing including the image and the flaw accentuation to the image;

in response to a search query;

demoting, by the one or more servers, a ranking of the created listing to change an order of items displayed in response to the search query; and

causing, by the one or more servers, display of the created listing for the item consistent with the changed order of items.

21. The online marketplace system according to claim 20, wherein:

the determining that the item includes the flaw includes determining whether the image is an altered image is based on one or both of metadata associated with the image and results of a forensic analysis and digital image filter; and

the operations further comprise responsive to a determination that the image is the altered image, sending a request to the seller through a network interface for an unaltered image.