Camera platform incorporating schedule and stature

• US 10,509,962 B2
• Filed: 12/29/2017
• Issued: 12/17/2019
• Est. Priority Date: 09/14/2017
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Zheng, Shuai, Yang, Fan, Kiapour, Mohammadhadi, Wang, Qiaosong, Tulsi, Japjit S., Piramuthu, Robinson
• Primary Examiner(s): Yang, Qian
• Application Number:
  US15/859,056
• Publication Number:
  US 20190080172A1
• Time in Patent Office: 718 Days
• CPC Class Codes: G06F 18/214 Generating training patterns; Bootstrap methods, e.g. bagging or boosting
• CPC Class Codes: G06F 18/2431 Multiple classes
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 20/10 using kernel methods, e.g. support vector machines [SVM]
• CPC Class Codes: G06N 3/045 Combinations of networks
• CPC Class Codes: G06N 5/01 Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
• CPC Class Codes: G06Q 30/0623 Item investigation
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 2210/16 Cloth
• CPC Class Codes: G06T 7/60 Analysis of geometric attributes
• CPC Class Codes: G06V 10/10 Image acquisition document image scanning and transmission H04N1/00; control of digital cameras H04N23/60
• CPC Class Codes: G06V 20/20 in augmented reality scenes
• CPC Class Codes: G06V 30/194 References adjustable by an adaptive method, e.g. learning
• CPC Class Codes: H04N 23/61 based on recognised objects
• CPC Class Codes: H04N 23/63 by using electronic viewfinders
• CPC Class Codes: H04N 23/631 Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters
• CPC Class Codes: H04N 7/185 : from a mobile camera, e.g. for remote control

Abstract

Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

Claims

1. A method implemented by a computing device, the method comprising:

receiving, by the computing device, a plurality of digital images and times, at which, the plurality of digital images are captured;

recognizing, by the computing device, objects of clothing from the digital images, the recognizing performed using object recognition as part of machine learning;

receiving, by the computing device, a user schedule describing user appointments and times, at which, the appointments are scheduled;

generating, by the computing device, a user profile, the generating performed by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule;

generating, by the computing device, a recommendation by processing a subsequent user schedule using the model as part of machine learning; and

outputting, by the computing device, the recommendation in a user interface.

2. The method as described in claim 1, wherein the recommendation is output as augmented reality content.

3. The method as described in claim 2, wherein the augmented reality content is output in the user interface along with a direct view of a physical environment of the computing device.

4. The method as described in claim 3, wherein the direct view is part of a live feed.

5. The method as described in claim 3, wherein the recommendation identifies another object of clothing.

6. The method as described in claim 5, wherein the recommendation of the other object of clothing is selectable via the user interface for purchase from a service provider system via a network.

7. The method as described in claim 6, wherein the other object of clothing is available via an online auction.

8. A computing device comprising:

a processing system; and

a computer-readable storage medium having instructions stored thereon that, responsive to execution by the processing system, causes the processing system to perform operations comprising;

generating a user profile by training a model using machine learning based on objects of clothing recognized from a plurality of digital images, times at which corresponding digital images are captured, and a user schedule describing user appointments and times, at which, the appointments are scheduled;

generating a recommendation by processing a subsequent user schedule using the model as part of machine learning; and

outputting the recommendation in a user interface.

9. The computing device as described in claim 8, wherein the recommendation is output as augmented reality content.

10. The computing device as described in claim 9, wherein the augmented reality content is output in the user interface along with a direct view of a physical environment of the computing device.

11. The computing device as described in claim 10, wherein the direct view is part of a live feed.

12. The computing device as described in claim 8, wherein the recommendation identifies an object of clothing.

13. The computing device as described in claim 12, wherein the recommendation of the object of clothing is selectable via the user interface for purchase from a service provider system via a network.

14. A method implemented by a computing device, the method comprising:

generating, by the computing device, a user profile by training a model using machine learning based on objects of clothing recognized from a plurality of digital images, times at which corresponding digital images are captured, and a user schedule describing user appointments and times, at which, the appointments are scheduled;

generating, by the computing device, a recommendation by processing a subsequent user schedule using the model as part of machine learning; and

outputting, by the computing device, the recommendation in a user interface.

15. The method as described in claim 14, wherein the recommendation is output as augmented reality content.

16. The method as described in claim 15, wherein the augmented reality content is output in the user interface along with a direct view of a physical environment of the computing device.

17. The method as described in claim 16, wherein the direct view is part of a live feed.

18. The method as described in claim 14, wherein the recommendation identifies an object of clothing.

19. The method as described in claim 18, wherein the recommendation of the object of clothing is selectable via the user interface for purchase from a service provider system via a network.

20. The method as described in claim 19, wherein the object of clothing is available via an online auction.