US2019272194A1PendingUtilityA1

Systems and methods that effectuate transmission of workflow between computing platforms

Assignee: GOPRO INCPriority: Oct 22, 2015Filed: May 21, 2019Published: Sep 5, 2019
Est. expiryOct 22, 2035(~9.2 yrs left)· nominal 20-yr term from priority
G06F 9/5005G06F 9/4843G06T 2210/22G06T 11/60H04L 67/36H04L 67/2804H04L 67/75H04L 67/561
60
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Claims

Abstract

A first command may be received from a client computing platform. The first command may include proxy visual content. The proxy visual content may represent visual content stored on the client computing platform. An identifier may be associated with the proxy visual content. The identifier may be transmitted to the client computing platform. The identifier may be associated with the visual content stored on the client computing platform. Edits to the visual content based upon the proxy visual content may be determined at a remote computing platform. Instructions may be transmitted from the remote computing platform to the client computing platform. The instructions may include the identifier. The instructions may be configured to cause the client computing platform to process the edits on the visual content.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A system configured to effectuate transmission of workflow between computing platforms, the system comprising:
 one or more physical computer processors configured by computer readable instructions to:
 receive, from a client computing platform, a proxy image representing an image stored on the client computing platform; 
 associate an identifier with the proxy image; 
 effectuate transmission of the identifier to the client computing platform, wherein the identifier is associated with the image stored on the client computing platform; 
 determine edits to be made to the image based on the proxy image; 
 determine classification of the image based on identification of content within the proxy image; and 
 effectuate transmission of instructions to the client computing platform, the instructions including the identifier, the edits to be made to the image, and the classification of the image. 
   
     
     
         2 . The system of  claim 1 , wherein the proxy image is a downsample of the image. 
     
     
         3 . The system of  claim 1 , wherein the proxy image is received via an application programming interface. 
     
     
         4 . The system of  claim 3 , wherein the one or more physical processors are further configured by the computer-readable instructions to:
 associate a task with the proxy image, the task including a request to determine the edits.   
     
     
         5 . The system of  claim 4 , wherein the task is managed by a queue. 
     
     
         6 . The system of  claim 1 , wherein the edits include a rotation of the image and/or a cropping of the image. 
     
     
         7 . The system of  claim 6 , wherein the edits include the cropping of the image based on the image including the rotation of the image. 
     
     
         8 . The system of  claim 1 , wherein the edits include one or more of enhancing colors, enhancing lighting, enhancing brightness, or applying filters. 
     
     
         9 . The system of  claim 1 , wherein the classification is associated with a confidence score, the confidence score quantifying likelihood of success for recognizing one or more objects within the proxy image. 
     
     
         10 . The system of  claim 1 , wherein the classification to is associated with the image based on association of a tag or a label with the image. 
     
     
         11 . A method to effectuate transmission of workflow between computing platforms, the method comprising:
 receiving, from a client computing platform, a proxy image representing an image stored on the client computing platform;   associating an identifier with the proxy image;   effectuating transmission of the identifier to the client computing platform, wherein the identifier is associated with the image stored on the client computing platform;   determining edits to be made to the image based on the proxy image;   determining classification of the image based on identification of content within the proxy image; and   effectuating transmission of instructions to the client computing platform, the instructions including the identifier, the edits to be made to the image, and the classification of the image.   
     
     
         12 . The method of  claim 11 , wherein the proxy image is a downsample of the image. 
     
     
         13 . The method of  claim 11 , wherein the proxy image is received via an application programming interface. 
     
     
         14 . The method of  claim 13 , further comprising:
 associating a task with the proxy image, the task including a request to determine the edits.   
     
     
         15 . The method of  claim 14 , wherein the task is managed by a queue. 
     
     
         16 . The method of  claim 11 , wherein the edits include a rotation of the image and/or a cropping of the image. 
     
     
         17 . The method of  claim 16 , wherein the edits include the cropping of the image based on the image including the rotation of the image. 
     
     
         18 . The method of  claim 11 , wherein the edits include one or more of enhancing colors, enhancing lighting, enhancing brightness, or applying filters. 
     
     
         19 . The method of  claim 11 , wherein the classification is associated with a confidence score, the confidence score quantifying likelihood of success for recognizing one or more objects within the proxy image. 
     
     
         20 . The method of  claim 11 , wherein the classification to is associated with the image based on association of a tag or a label with the image.

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