Proactive creation of personalized products
US-10762676-B2 · Sep 1, 2020 · US
US11935165B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11935165-B2 |
| Application number | US-202016995226-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 17, 2020 |
| Priority date | Mar 18, 2009 |
| Publication date | Mar 19, 2024 |
| Grant date | Mar 19, 2024 |
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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.
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What is claimed is: 1. A method for proactively creating an image product, comprising: storing a library of specification terms for image products by a computer system, wherein the specification terms in the library specify one or more image product types; receiving a voice message from a user; converting the voice message into a text from by the computer system; conducting lexical analysis of the text; tokenizing the text into a plurality of tokens by the computer system; and matching one or more of the tokens to the specification terms in the library by the computer system to determine an image product type for an image product. 2. The method of claim 1 , wherein one or more of the tokens are matched to at least one specification term in the library that specifies the image product type, the method further comprising: automatically creating a design for the image product in the image product type. 3. The method of claim 1 , further comprising: automatically identifying images based on the specification parameters by the computer system. 4. The method of claim 3 , further comprising: automatically creating, by the computer system, a design for the image product that incorporates at least some of the images identified based on the specification parameters. 5. The method of claim 3 , further comprising: ranking the identified images using predetermined criteria; and selecting a subset of the identified images based on a result of the ranking step, wherein the design for the image product incorporates the subset of the identified images. 6. The method of claim 3 , further comprising: selecting 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. 7. The method 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 step of automatically identifying comprises identifying images at the one or more image sources. 8. The method 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 step of automatically identifying comprises identifying images that include the one or more persons in the images. 9. The method 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 step of automatically identifying comprises identifying images that are associated with the occasion. 10. The method 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 step of automatically identifying comprises identifying images that are taken in the time period. 11. The method 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. 12. The method of claim 1 , 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 a physical manifestation of the image product is sent to the recipient. 13. The method of claim 1 , further comprising: after the step of matching, presenting a question to the user by the computer system; receiving an answer from the user; tokenizing the answer into a plurality of tokens by the computer system; and matching one or more of the tokens to the specification terms in the library to determine additional specification parameters for an image product by the computer system. 14. The method of claim 1 , wherein the step of automatically creating comprises: assigning at least a portion of the identified images into a first page group and a second page group each comprising one or more images; placing the first page group of one or more images in the first page of the image product; and placing the second page group of one or more images in the second page of the image product. 15. The method of claim 1 , wherein the step of conducting lexical analysis of the text comprises: conducting parsing or syntactic analysis of the text by the compute system. 16. The method of claim 1 , wherein the step of tokenizing comprises parsing the text. 17. The method of claim 1 , wherein the step of matching comprises matching 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 by the computer system. 18. A method for proactively creating an image product, comprising: storing a library of specification terms for image products by a computer system, wherein the specification terms in the library specify one or more recipients for image products; receiving a voice message from a user; converting the voice message into a text from by the computer system; conducting lexical analysis of the text; tokenizing the text into a plurality of tokens by the computer system; matching one or more of the tokens to a specification term in the library that specifies a recipient for an image product; and automatically creating a design for the image product by the computer system, wherein a physical manifestation of the image product is sent to the recipient. 19. The method of claim 18 , wherein the specification terms in the library further specify one or more image product types, the method further comprising: matching one or more of the tokens to the specification terms in the library to determine an image product type for an image product by the computer system, wherein the design for the image product is automatically created in the image product type. 20. The method of claim 18 , further comprising: automatically identifying images based on the specification parameters by the computer system for a design for the image product, wherein the design for the image product is automatically created by incorporating at least some of the images identified based on the specification parameters.
Creating or editing images; Combining images with text · CPC title
Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title
resulting in reduced user or operator actions, e.g. presetting, automatic actions, using hardware token storing data · CPC title
resulting in improved quality of the output result, e.g. print layout, colours, workflows, print preview · CPC title
User feedback, e.g. print preview, test print, proofing, pre-flight checks · CPC title
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