The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 24, 2023

Filed:

Jan. 28, 2021
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Shenyu Xu, Atlanta, GA (US);

Eunyee Koh, San Jose, CA (US);

Fan Du, Milpitas, CA (US);

Tak Yeon Lee, San Jose, CA (US);

Sana Malik Lee, Brea, CA (US);

Ryan Rossi, Santa Clara, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/30 (2019.01); G06F 16/738 (2019.01); G06F 16/901 (2019.01); G06F 16/783 (2019.01); G06F 16/34 (2019.01); G06F 16/9032 (2019.01); G06F 16/44 (2019.01);
U.S. Cl.
CPC ...
G06F 16/739 (2019.01); G06F 16/345 (2019.01); G06F 16/44 (2019.01); G06F 16/7834 (2019.01); G06F 16/9024 (2019.01); G06F 16/90332 (2019.01);
Abstract

This disclosure describes one or more embodiments of systems, non-transitory computer-readable media, and methods that intelligently and automatically analyze input data and generate visual data stories depicting graphical visualizations from data insights determined from the input data. For example, the disclosed systems automatically extract data insights utilizing an in-depth statistical analysis of dataset groups from data-attribute categories within the input data. Based on the data insights, the disclosed systems can automatically generate exportable visual data stories to visualize the data insights, provide textual or audio-based natural language summaries of the data insights, and animate such data insights in videos. In some embodiments, the disclosed systems generate a visual-data-story graph comprising nodes representing visual data stories and edges representing similarities between the visual data stories. Based on the visual-data-story graph, the disclosed systems can select a relevant visual data story to display on a graphical user interface.


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