View source for Google llc (20240126978). DETERMINING ATTRIBUTES FOR ELEMENTS OF DISPLAYABLE CONTENT AND ADDING THEM TO AN ACCESSIBILITY TREE simplified abstract

=DETERMINING ATTRIBUTES FOR ELEMENTS OF DISPLAYABLE CONTENT AND ADDING THEM TO AN ACCESSIBILITY TREE=


==Organization Name==

[[:Category:google llc|google llc]]


[[Category:google llc]]

==Inventor(s)==

[[:Category:David Tseng of Sunnyvale CA (US)|David Tseng of Sunnyvale CA (US)]][[Category:David Tseng of Sunnyvale CA (US)]]

[[:Category:Ramin Halavati of Munich (DE)|Ramin Halavati of Munich (DE)]][[Category:Ramin Halavati of Munich (DE)]]

[[:Category:Nektarios Paisios of New York NY (US)|Nektarios Paisios of New York NY (US)]][[Category:Nektarios Paisios of New York NY (US)]]

==DETERMINING ATTRIBUTES FOR ELEMENTS OF DISPLAYABLE CONTENT AND ADDING THEM TO AN ACCESSIBILITY TREE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240126978 titled 'DETERMINING ATTRIBUTES FOR ELEMENTS OF DISPLAYABLE CONTENT AND ADDING THEM TO AN ACCESSIBILITY TREE

==Simplified Explanation==

The abstract of the patent application describes a method that involves receiving an image representing displayable content, executing a layout extraction model on the image to generate a list of elements, adding a role attribute to a node in an accessibility tree using the list of elements.

* The method involves receiving an image as input.
* The method executes a layout extraction model on the image.
* The output of the model is a list of elements for the image.
* The list of elements includes a bounding box and a role attribute.
* The role attribute is added to a node in an accessibility tree.

== Potential Applications ==
This technology could be applied in:
* Web accessibility tools
* Image recognition software
* Content management systems

== Problems Solved ==
This technology helps in:
* Improving accessibility for visually impaired users
* Enhancing image recognition accuracy
* Streamlining content organization

== Benefits ==
The benefits of this technology include:
* Enhanced user experience
* Improved accuracy in content extraction
* Increased efficiency in accessibility features

== Potential Commercial Applications ==
This technology could be commercially applied in:
* Accessibility software development
* Image processing tools
* Content management platforms

== Possible Prior Art ==
One possible prior art for this technology could be:
* Existing image recognition software with limited accessibility features

=== Unanswered Questions ===

=== How does this technology handle complex layouts in images? ===
This technology may face challenges in accurately extracting elements from images with intricate layouts, such as those with overlapping elements or irregular shapes. Further research and development may be needed to address this issue.

=== What impact does the addition of role attributes have on the overall accessibility of the content? ===
It is important to investigate how the inclusion of role attributes in the accessibility tree affects the usability of the content for individuals with disabilities. User testing and feedback could provide valuable insights into the effectiveness of this approach.


==Original Abstract Submitted==

a method may receive an image representing displayable content for display by an application. a method may execute a layout extraction model using the image as input and generating a list of elements for the image as output, the list of elements including at least a bounding box defining a portion of the image and a role attribute. a method may add the role attribute to a node in an accessibility tree using the list of elements.



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