Generation of vision recognition references from user selected content

US10092844B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10092844-B2
Application numberUS-201313854831-A
CountryUS
Kind codeB2
Filing dateApr 1, 2013
Priority dateApr 1, 2013
Publication dateOct 9, 2018
Grant dateOct 9, 2018

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  5. First independent claim

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Abstract

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There is provided a system and method for generation of vision recognition references from user-selected content. The method comprises receiving data corresponding to a user selected content, generating a vision recognition reference from the data, associating a game behavior descriptor with the vision recognition reference, wherein the game behavior descriptor correspond to a game behavior instance, and storing the vision recognition reference and the associated game behavior descriptor in a database, wherein the database includes a plurality of pre-defined vision recognition references, and wherein each of the plurality of pre-defined vision recognition references correspond to at least one pre-defined game behavior descriptor. The method may further comprise receiving user input corresponding to the user-selected content, retrieving the vision recognition reference and the associated game behavior descriptor from the database and initiating the game behavior in a corresponding game.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for use by a game system including a processor in communication with a visual recognition device, the method comprising: receiving, by the processor, data corresponding to a user selected content; generating, by the processor, a vision recognition reference from the data; associating, by the processor, a user selected game behavior descriptor with the vision recognition reference, wherein the game behavior descriptor corresponds to a game behavior instance; storing, by the processor, the vision recognition reference and the associated game behavior descriptor in a database, wherein the database includes a plurality of pre-defined vision recognition references, and wherein each of the plurality of pre-defined vision recognition references corresponds to at least one pre-defined game behavior descriptor; receiving, after the storing, an image captured by the visual recognition device corresponding to a displayed image presented by a user during playing a game; matching the image captured by the visual recognition device with the vision recognition reference; retrieving, in response to the matching, the associated game behavior descriptor associated with vision recognition reference from the database; and performing in the game, in response to the receiving of the image, the game behavior instance corresponding to the associated game behavior descriptor. 2. The method of claim 1 , wherein the game behavior instance is one of presenting an image, presenting an animation, changing a game state, playing a turn, attacking a game character, defending a game character, incrementing a value of a parameter associated with an in-game character, and decrementing a value of a parameter associated with an in-game character. 3. The method of claim 1 , wherein the vision recognition reference is an augmented version of the user selected content based on image recognition patterns. 4. The method of claim 3 , wherein the generating the vision recognition reference includes modifying one of a contrast, a color depth, a color intensity, a rotation, a resolution, a cropping, and a dividing, of the user selected content. 5. The method of claim 3 , wherein generating the vision recognition reference includes adding a digital watermark to the user selected content. 6. The method of claim 1 , wherein the user selected content is received from one of a server side graphic design application and a client side user upload. 7. The method of claim 1 , wherein the user-selected content is a digital photograph. 8. The method of claim 1 , wherein the visual recognition device includes at least one of a camera and a scanner for capturing the image. 9. The method of claim 8 further comprising: updating, using the processor, the game behavior descriptor based on the corresponding game. 10. The method of claim 1 , wherein the data received from the user is a visual representation data corresponding to the user selected content. 11. A system comprising: a server accessible over a communication network, the server including a processor and a memory; a content recognition process stored in the memory; a visual recognition device including at least one of a camera and a scanner; the content recognition process, under the control of the processor, configured to: receive data corresponding to a user-selected content; generate a vision recognition reference from the data; associate a user selected game behavior descriptor with the vision recognition reference, wherein the game behavior descriptor corresponds to a game behavior instance; store the vision recognition reference and the associated game behavior descriptor in a database, wherein the database includes a plurality of pre-defined vision recognition references, and wherein each of the plurality of pre-defined vision recognition references correspond to at least one pre-defined game behavior descriptor; a game engine configured to: receive, after storing, an image captured by the visual recognition device corresponding to a displayed image presented by a user during playing a game; match the image captured by the visual recognition device with the vision recognition reference; retrieve, in response to matching, the associated game behavior descriptor associated with vision recognition reference from the database; and performing in the game, in response to receiving the image, the game behavior instance corresponding to the associated game behavior descriptor. 12. The system of claim 11 , wherein the game behavior instance is one of presenting an image, presenting an animation, changing a game state, playing a turn, attacking a game character, defending a game character, incrementing a value of a parameter associated with an in-game character, and decrementing a value of a parameter associated with an in-game character. 13. The system of claim 11 , wherein the vision recognition reference is an augmented version of the user selected content based on image recognition patterns. 14. The system of claim 13 , wherein the generating the vision recognition reference includes modifying one of a contrast, a color depth, a color intensity, a rotation, a resolution, a cropping, and a dividing, of the user selected content. 15. The system of claim 13 , wherein generating the vision recognition reference includes adding a digital watermark to the user selected content. 16. The system of claim 15 , wherein the displayed image presented by the user is one of a card and an article of clothing containing the user selected content. 17. The system of claim 11 , wherein the user selected content is received from one of a server side graphic design application and a client side user upload. 18. The system of claim 11 , wherein the content recognition process is further configured to: update the game behavior descriptor based on the corresponding game. 19. The system of claim 11 , wherein the data received from the user is a visual representation data corresponding to the user selected content.

Assignees

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Classifications

  • Controlling game characters or game objects based on the game progress · CPC title

  • Game information storage, e.g. cartridges, CD ROM's, DVD's, smart cards · CPC title

  • comprising photodetecting means, e.g. cameras, photodiodes or infrared cells (A63F13/219 takes precedence) · CPC title

  • Cards · CPC title

  • A63F13/655Primary

    by importing photos, e.g. of the player · CPC title

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What does patent US10092844B2 cover?
There is provided a system and method for generation of vision recognition references from user-selected content. The method comprises receiving data corresponding to a user selected content, generating a vision recognition reference from the data, associating a game behavior descriptor with the vision recognition reference, wherein the game behavior descriptor correspond to a game behavior ins…
Who is the assignee on this patent?
Disney Entpr Inc
What technology area does this patent fall under?
Primary CPC classification A63F13/655. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Oct 09 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).