Systems and methods for generating dynamic virtual representations of an object or event
US-2024420395-A1 · Dec 19, 2024 · US
US9244941B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9244941-B2 |
| Application number | US-201314102091-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 10, 2013 |
| Priority date | Mar 18, 2009 |
| Publication date | Jan 26, 2016 |
| Grant date | Jan 26, 2016 |
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A method for proactively creating an image product includes storing a library of specification terms for image products by a computer system, receiving a command from a user, tokenizing the command into a plurality of tokens by the computer system, matching one or more of the tokens to the specification terms in the library to determine specification parameters for an image product by the computer system, automatically identifying images based on the specification parameters by the computer system, and automatically creating a design for the image product that incorporates at least some of the images identified based on the specification parameters.
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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; receiving a command comprising a text from a user; conducting lexical analysis of the text in the command; tokenizing the command into a plurality of tokens by the computer system; matching one or more of the tokens to the specification terms in the library to determine specification parameters for an image product by the computer system; automatically identifying images based on the specification parameters by the computer system; and 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. 2. 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. 3. 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. 4. 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. 5. 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. 6. The method 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 method of claim 1 , 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. 8. 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. 9. The method of claim 1 , further comprising: manufacturing a physical manifestation of the image product based on the design for the image product. 10. The method 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 after the step of manufacturing. 11. The method of claim 1 , 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. 12. 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. 13. 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. 14. The method of claim 1 , wherein the step of conducting lexical analysis of the command comprises: conducting parsing or syntactic analysis of the text in the user command by the compute system. 15. The method of claim 1 , wherein the step of receiving a command comprises: receiving a voice message from the user; and recognizing a text in the voice message, wherein the text is tokenized by the computer system. 16. The method of claim 1 , wherein the step of tokenizing comprises parsing the command. 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.
via internet · CPC title
Simultaneous viewing of a plurality of images, e.g. using a mosaic display arrangement of thumbnails · CPC title
Processing or editing (H04N1/00196 - H04N1/00201 take precedence) · CPC title
of different type, e.g. internal and external devices · CPC title
in a digital photofinishing system, i.e. a system where digital photographic images undergo typical photofinishing processing, e.g. printing ordering · CPC title
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