Systems and Methods for Modifying Labeled Content. Mitchell, K. and Brito, C. J. D. S. August 2020.
Systems and Methods for Modifying Labeled Content [link]Paper  abstract   bibtex   
Systems and methods are disclosed for modifying labeled target content for a capture device. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining labeled target content, the labeled target content including one or more facial features that have been labeled; modifying the labeled target content to match dynamically captured content from a first capture device to generate modified target content; and storing the modified target content. The dynamically captured content may include the one or more facial features.
@patent{mitchell_systems_2020,
	title = {Systems and {Methods} for {Modifying} {Labeled} {Content}},
	shorttitle = {{RepurposeP}},
	url = {https://www.freepatentsonline.com/y2020/0250457.html},
	abstract = {Systems and methods are disclosed for modifying labeled target content for a capture device. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining labeled target content, the labeled target content including one or more facial features that have been labeled; modifying the labeled target content to match dynamically captured content from a first capture device to generate modified target content; and storing the modified target content. The dynamically captured content may include the one or more facial features.},
	nationality = {United States},
	assignee = {Disney Enterprises, Inc. (Burbank, CA, US)},
	number = {20200250457},
	urldate = {2020-09-08},
	author = {Mitchell, Kenneth and Brito, Caio Jose Dos Santos},
	month = aug,
	year = {2020},
	keywords = {Computer Vision, Deep Learning, Patent}
}
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