公开(公告)号：US10909313B2

公开(公告)日：2021-02-02

申请号：US15630462

申请日：2017-06-22

Applicant: SAS Institute Inc.

Inventor： Ethem F. Can ,  Richard W. Crowell ,  James Tetterton ,  Jared Peterson ,  Saratendu Sethi

IPC: G06F40/186 ,  G06K9/68 ,  G06K9/46 ,  G06F16/583 ,  G06K9/62 ,  G06K9/00 ,  G06N20/00 ,  G06K9/32 ,  G06F40/56 ,  G06F40/194

Abstract: Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.

公开(公告)号：US20170371856A1

公开(公告)日：2017-12-28

申请号：US15630462

申请日：2017-06-22

Applicant: SAS Institute Inc.

Inventor： Ethem F. Can ,  Richard W. Crowell ,  James Tetterton ,  Jared Peterson ,  SARATENDU SETHI

IPC: G06F17/24 ,  G06F17/30 ,  G06F17/22 ,  G06K9/68 ,  G06K9/46

CPC classification number: G06F17/248 ,  G06F16/5846 ,  G06F17/2211 ,  G06F17/2881 ,  G06K9/00449 ,  G06K9/3233 ,  G06K9/4642 ,  G06K9/4676 ,  G06K9/469 ,  G06K9/6201 ,  G06K9/6267 ,  G06K9/6892 ,  G06N3/02

Abstract: Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.