Identifying items in images

Patent metadata

Field	Value
Publication number	US-10497048-B2
Application number	US-201916246595-A
Country	US
Kind code	B2
Filing date	Jan 14, 2019
Priority date	Sep 4, 2015
Publication date	Dec 3, 2019
Grant date	Dec 3, 2019

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using location data to identify and provide services in association with items appearing in captured images. One of the methods includes receiving, from a device, an image and location data representing the device's physical location, determining, based on the location data, that a particular set of one or more locations are within a threshold distance of the device's physical location, accessing, for each of the one or more locations in the particular set, item information that indicates one or more items that are associated with the location, determining, based on the accessed item information, that the image likely shows a particular item that is associated with one or more locations in the particular set, and providing, to the device, instructions for presentation of information about (i) the particular item and (ii) one or more locations in the particular set that are associated with the particular item.

First claim

What is claimed is:

1. A computer-implemented method comprising:
receiving a query that was initiated by a user;
identifying a particular item based at least on the query;
identifying multiple physical locations where the particular item may be obtained;
generating a ranking of the multiple physical locations based at least on
which particular entrance, of multiple possible entrances that are associated with a facility, that was used by the user to enter the facility; and

providing a results page in response to the query, the results page identifying one or more of the physical locations according to the ranking.

2. The method of claim 1 , wherein the ranking is generated further based on:
a location where the user has parked a vehicle.

3. The method of claim 1 , wherein the ranking is generated further based on:
a location of a hotel of the user.

4. The method of claim 1 , wherein the ranking is generated further based on:
data indicating whether the particular item is available for delivery to a location where the user has parked the vehicle, or to the particular entrance used by the user to enter the facility, by a respective agent associated with each of the multiple physical locations.

5. The method of claim 1 , wherein the ranking is generated further based on:
an itinerary within the facility for the user.

6. The method of claim 1 , wherein the ranking is generated further based on:
a predicted line waiting time associated with each of the multiple physical locations.

7. The method of claim 1 , wherein the ranking is generated further based on:
an amusement park ride reservation time associated with the user.

8. The method of claim 1 , wherein the ranking is generated further based on:
a predicted waiting time associated with the amusement park ride that is associated with the user.

9. A system comprising:
one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
receiving a query that was initiated by a user;
identifying a particular item based at least on the query;
identifying multiple physical locations where the particular item may be obtained;
generating a ranking of the multiple physical locations based at least on
data indicating whether the particular item is available for delivery to the location where the user has parked the vehicle, or to the entrance used by the user to enter a facility, by a respective agent associated with each of the multiple physical locations; and

providing a results page in response to the query, the results page identifying one or more of the physical locations according to the ranking.

10. The system of claim 9 , wherein the ranking is generated further based on:
a location where the user has parked a vehicle.

11. The system of claim 9 , wherein the ranking is generated further based on:
a location of a hotel of the user.

12. The system of claim 9 , wherein the ranking is generated further based on:
an entrance used by the user to enter a facility.

13. The system of claim 9 , wherein the ranking is generated further based on:
an itinerary within the facility for the user.

14. The system of claim 9 , wherein the ranking is generated further based on:
a predicted line waiting time associated with each of the multiple physical locations.

15. The system of claim 9 , wherein the ranking is generated further based on:
an amusement park ride reservation time associated with the user.

16. The system of claim 9 , wherein the ranking is generated further based on:
a predicted waiting time associated with the amusement park ride that is associated with the user.

17. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
receiving a query that was initiated by a user;
identifying a particular item based at least on the query;
identifying multiple physical locations where the particular item may be obtained;
generating a ranking of the multiple physical locations based at least on
an itinerary within a facility for the user, or a predicted line waiting time associated with each of the multiple physical locations, or an amusement park ride reservation time associated with the user, or a predicted waiting time associated with an amusement park ride that is associated with the user; and

providing a results page in response to the query, the results page identifying one or more of the physical locations according to the ranking.

Assignees

• Accenture Global Solutions Ltd

Inventors

• Short Matthew Thomas
• Hamilton Mary Elizabeth
• Dooley Robert
• Nguyen David T
• Dang Leeann Chau Tuyet

Classifications

• G06V10/80

  Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level (multimodal speaker identification or verification G10L17/10) · CPC title

• G06F18/25

  Fusion techniques · CPC title

• G06F3/04842

  Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title

• G06Q30/0202

  Market predictions or forecasting for commercial activities · CPC title

• G06Q30/0633 Primary

  Managing shopping lists, e.g. compiling or processing purchase lists (shipping orders G06Q10/083; order filling G06Q10/087) · CPC title