View source for 17946202. POSE RECOMMENDATION AND REAL-TIME GUIDANCE FOR USER-GENERATED CONTENT simplified abstract (ADOBE INC.)

=POSE RECOMMENDATION AND REAL-TIME GUIDANCE FOR USER-GENERATED CONTENT=


==Organization Name==

[[:Category:ADOBE INC.|ADOBE INC.]]


[[Category:ADOBE INC.]]

==Inventor(s)==

[[:Category:Gourav Singhal of New Delhi (IN)|Gourav Singhal of New Delhi (IN)]][[Category:Gourav Singhal of New Delhi (IN)]]

[[:Category:Tridib Das of Bangalore (IN)|Tridib Das of Bangalore (IN)]][[Category:Tridib Das of Bangalore (IN)]]

[[:Category:Sourabh Gupta of Noida (IN)|Sourabh Gupta of Noida (IN)]][[Category:Sourabh Gupta of Noida (IN)]]

==POSE RECOMMENDATION AND REAL-TIME GUIDANCE FOR USER-GENERATED CONTENT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17946202 titled 'POSE RECOMMENDATION AND REAL-TIME GUIDANCE FOR USER-GENERATED CONTENT

==Simplified Explanation==

The abstract describes techniques for producing user-generated content, specifically involving sending a product identifier, receiving a candidate image, determining similarity between user and target structures, and capturing the user's input image.

* Sending a product identifier
* Receiving a candidate image associated with the product identifier
* Determining similarity between user and target structures based on pose guide
* Capturing the user's input image

== Potential Applications ==
This technology could be applied in social media platforms, e-commerce websites, and virtual try-on applications.

== Problems Solved ==
This technology solves the problem of accurately capturing user-generated content related to specific products or poses.

== Benefits ==
The benefits of this technology include improved user engagement, personalized content creation, and enhanced product visualization.

== Potential Commercial Applications ==
One potential commercial application of this technology could be in the fashion industry for virtual fitting rooms.

== Possible Prior Art ==
Prior art may include similar technologies used in augmented reality applications for virtual try-on experiences.

== Unanswered Questions ==

=== How does this technology handle variations in user poses or body types? ===
The abstract does not specify how the system accounts for different user poses or body types when capturing user-generated content.

=== What measures are in place to ensure user privacy and data security? ===
The abstract does not mention any specific measures for protecting user privacy and data security while producing user-generated content.


==Original Abstract Submitted==

In some embodiments, techniques for producing user-generated content are provided. For example, a process may involve sending a product identifier; receiving a first candidate image that is associated with the product identifier; determining that a similarity between a user structure and a target structure satisfies a threshold condition, wherein the user structure characterizes a figure of a user in a first input image and the target structure is based on a pose guide associated with the first candidate image; and capturing, based on the determining, the first input image.



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