IDENTIFYING DATA FROM KEYWORD SEARCHES OF COLOR PALETTES

• US 20150379005A1
• Filed: 06/26/2014
• Published: 12/31/2015
• Est. Priority Date: 06/26/2014
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Dorner, Charles Shearer, Blackburn, Jenny Ann, Manolis, Eva, Ong, Timothy Andrew, Sayre, Paul Barnhart III
• Granted Patent: US 10,235,389 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/54 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Systems and methods are described herein to determine data associated with color palettes identified from keyword searches. Color palettes may include colors determined by human color preferences. Color palettes may be searched by name or other data associated with the color palettes. Individual colors may be extracted from color palettes, which may be used to fast index color search a data store of images and/or items. The items and/or images associated with color palettes may be returned based at least in part on the keyword search. Various user interfaces may be based at least in part on the keyword searching and/or trending techniques for color palettes.

Claims

1. A system for searching a plurality of items for presentation, the system comprising:

a data store configured to store at least a plurality of color palettes and a plurality of images associated with a plurality of items, wherein each color palette of the color palettes comprises a name and a plurality of colors; and

a hardware processor in communication with the data store, the hardware processor configured to execute computer-executable instructions to at least;

receive a keyword;

select a subset of the color palettes associated with the keyword based at least in part on the name of the color palette;

retrieve at least some images of the plurality of images, each image of the at least some images associated with an item of the plurality of items;

identify, for each color of the plurality of colors of the selected subset of color palettes, a subset of the at least some images matching a color of the plurality of colors;

determine a subset of the plurality of items based at least in part on the identified subset of the at least some images; and

provide the subset of the plurality of items for presentation to a user.

2. The system of claim 1, wherein the hardware processor is further configured to execute computer-executable instructions to at least determine one or more color names for at least one color of the plurality of colors of the selected subset of color palettes.

3. The system of claim 1, wherein the hardware processor is further configured to execute computer-executable instructions to at least determine metadata associated with the subset of the plurality of items.

4. The system of claim 1, wherein the keyword is based at least in part on user input.

5. The system of claim 1, wherein the keyword is based at least in part on automated input of at least one of trending search history, trending geo-location data or data associated with an upcoming event.

6. The system of claim 1, wherein at least one color palette of the subset of color palettes comprises human generated data.

7. A computer-implemented method comprising:

under control of a hardware computing device configured with specific computer-executable instructions,

receiving a search phrase;

selecting a set of color palettes associated with at least a portion of the search phrase, wherein each color palette comprises one or more colors;

retrieving a plurality of images, wherein each image of the plurality of images comprises one or more colors, and wherein each image of the plurality of images is associated with an object; and

determining, for each color of the selected set of color palettes, one or more images corresponding to the color.

8. The computer-implemented method of claim 7, further comprising determining one or more color names for at least one color of the plurality of colors of the selected set of color palettes.

9. The computer-implemented method of claim 7, further comprising, for at least one image of the plurality of images, identifying the object from the image associated with the object.

10. The computer-implemented method of claim 9, further comprising determining metadata associated with the object.

11. The computer-implemented method of claim 7, wherein the search phrase is based at least in part on user input.

12. The computer-implemented method of claim 7, wherein the search phrase is based at least in part on automated input of trending geo-location data.

13. The computer-implemented method of claim 7, wherein at least one color palette of the set of color palettes comprises human generated data.

14. The computer-implemented method of claim 7, wherein at least some of the plurality of images are retrieved from an image data store.

15. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a processor perform operations comprising:

receiving a search phrase;

selecting a set of color palettes associated with at least a portion of the search phrase, wherein each color palette comprises one or more colors;

retrieving a plurality of images, wherein each image of the plurality of images comprises one or more colors, and wherein each image of the plurality of images is associated with an object; and

determining, for each color of the selected set of color palettes, one or more images of the retrieved plurality of images corresponding to the color.

16. The non-transitory computer-readable storage medium of claim 15, the operations further comprising determining one or more color names for at least one color of the plurality of colors of the selected set of color palettes.

17. The non-transitory computer-readable storage medium of claim 15, the operations further comprising, for at least one image of the plurality of images, identifying the object from the image associated with the object.

18. The non-transitory computer-readable storage medium of claim 15, wherein the search phrase is based at least in part on automated input.

19. The non-transitory computer-readable storage medium of claim 15, wherein at least one color palette of the set of color palettes comprises human generated data.

20. The non-transitory computer-readable storage medium of claim 15, wherein at least some of the plurality of images are retrieved from an image data store.