IP Library Granted Patent US 10,762,676
Granted Patent B2
US 10,762,676 · App. 15/810,718 · Granted Sep 1, 2020

Proactive creation of personalized products

Inventors: Eugene Chen (Belmont, CA); Preeti Nathan (San Carlos, CA); Trynne Anne Miller (San Francisco, CA); Wiley H. Wang (Pacifica, CA); Shay Litvak (Palo Alto, CA); Marco Santini (Oakland, CA); Chris M. Denend (Menlo Park, CA); Abhishek KiranKumar Sabbarwal (Sunnyvale, CA); David Le (San Jose, CA); Ira Blas (Fremont, CA); Ryan Lee (Foster City, CA)
Assignee: Shutterfly, LLC
G06T11/60G06F3/04842G06F3/1204G06F3/1208G06F3/1256G06F3/1287G06F16/50G06F16/51G06F16/5838G06F16/5854G06F40/284G10L15/22G10L15/26H04N1/00132H04N1/00161H04N1/00167H04N1/00196H04N1/00442H04N1/00453H04N1/00456H04N1/00458H04N1/00461H04N1/00464H04N1/32512H04N1/32571H04N1/32577H04N1/32582H04N1/32587H04N2101/00
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Quick Facts
Patent No.
US 10,762,676
App. No.
15/810,718
Granted
Sep 1, 2020
Kind
B2
Abstract

A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.

Claims (23)

1. A computer system for proactively creating an image product, comprising:

a computer memory configured to store a library of specification terms for image products;

an I/O unit configured to receive a voice message from a user; and

a computer processor in communication with the I/O unit and the computer memory, wherein the computer processor is configured to convert the voice message into a text form, to conduct lexical analysis of the text, tokenize the text into a plurality of tokens by the computer system, match one or more of the tokens to the specification terms in the library to determine specification parameters for an image product, automatically identify images based on the specification parameters, and to automatically create a design for the image product that incorporates at least some of the images identified based on the specification parameters.

2. The computer system of claim 1 , wherein the specification terms in the library specify one or more image sources from which the images are to be obtained, wherein one or more of the tokens are matched to the specification terms in the library that specify the one or more image sources,

wherein the computer processor is further configured to automatically identify comprises identifying images at the one or more image sources.

3. The computer system of claim 1 , wherein the specification terms in the library specify one or more persons, wherein one or more of the tokens are matched to the specification terms in the library that specify one or more persons,

wherein the computer processor is further configured to automatically identifying comprises identifying images that include the one or more persons in the images.

4. The computer system of claim 1 , wherein the specification terms in the library specify an occasion that the images are associated with, wherein one or more of the tokens are matched to the specification terms in the library that specify an occasion,

wherein the computer processor is further configured to automatically identify comprises identifying images that are associated with the occasion.

5. The computer system of claim 1 , wherein the specification terms in the library specify a time period in which the images are taken, wherein one or more of the tokens are matched to one or more specification terms in the library that specify a time period in which the images are taken,

wherein the computer processor is further configured to automatically identify comprises identifying images that are taken in the time period.

6. The computer system of claim 1 , wherein the specification terms in the library specify one or more image product types, wherein one or more of the tokens are matched to at least one specification term in the library that specifies an image product type, wherein the design for the image product is automatically created in the image product type.

7. The computer system of claim 1 , wherein the computer processor is further configured to select a subset of the identified images, wherein a number of the identified images in the subset is within a predetermined range compatible with the image product type.

8. The computer system of claim 1 , wherein the specification terms in the library specify a style or a format for an image product, wherein one or more of the tokens are matched to at least one specification term in the library that specifies a style or a format for an image product, wherein the design for the image product is automatically created in the style or the format.

9. The computer system of claim 1 , wherein the computer processor is further configured to design to a manufacturing facility in which a physical manifestation of the image product manufactured based on the design for the image product.

10. The computer system of claim 9 , wherein the specification terms in the library specify a recipient for an image product, wherein one or more of the tokens are matched to a specification term in the library that specifies a recipient for an image product, wherein the physical manifestation of the image product is sent to the recipient.

11. The computer system of claim 1 , wherein the computer processor is further configured to rank the identified images using predetermined criteria to produce a ranking result, and select a subset of the identified images based on the ranking result, wherein the design for the image product incorporates the subset of the identified images.

12. The computer system of claim 1 , wherein the computer processor is further configured to present a question to the user after the one or more of the tokens are matched to the specification terms in the library, to receive an answer from the user, to tokenize the answer into a plurality of tokens, and to match one or more of the tokens to the specification terms in the library to determine additional specification parameters for an image product.

13. The computer system of claim 1 , wherein the computer processor is further configured to assign at least a portion of the identified images into a first page group and a second page group each comprising one or more images, to place the first page group of one or more images in the first page of the image product, and to place the second page group of one or more images in the second page of the image product.

14. The computer system of claim 1 , wherein the computer processor is further configured to conduct parsing or syntactic analysis of the text when lexical analysis is conducted on the text.

15. The computer system of claim 1 , wherein the computer processor is further configured to conduct parsing the text when the text is tokenized.

16. The computer system of claim 1 , wherein the computer processor is further configured to match the one or more of the tokens to morphological variations of the specification terms in the library to determine specification parameters for an image product.

Assignments (4)
CHANGE OF NAME Recorded Nov 22, 2019
From: SHUTTERFLY, INC.
To: SHUTTERFLY, LLC
Reel/Frame 051095/0172 →
FIRST LIEN SECURITY AGREEMENT Recorded Sep 27, 2019
From: SHUTTERFLY, INC.
To: WILMINGTON TRUST, NATIONAL ASSOCIATION
Reel/Frame 050574/0865 →
RELEASE OF SECURITY INTEREST Recorded Sep 26, 2019
From: MORGAN STANLEY SENIOR FUNDING, INC.
To: SHUTTERFLY, INC.; LIFETOUCH INC.; LIFETOUCH NATIONAL SCHOOL STUDIOS INC.
Reel/Frame 050527/0868 →
SECURITY INTEREST Recorded May 23, 2018
From: SHUTTERFLY, INC.; LIFETOUCH INC.; LIFETOUCH NATIONAL SCHOOL STUDIOS INC.
To: MORGAN STANLEY SENIOR FUNDING, INC., AS COLLATERAL AGENT
Reel/Frame 046216/0396 →
Continuity (6)
Continuation 15405077 · Jan 12, 2017
Continuation In Part 14990402 · Jan 7, 2016
Continuation 14102091 · Dec 10, 2013
Continuation In Part 13867444 · Apr 22, 2013
Continuation 12821369 · Jun 23, 2010
Related Publication 20180068479A1 · Mar 8, 2018