Patents by Inventor Heather Michelle Goodykoontz
Heather Michelle Goodykoontz has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11443416Abstract: Various embodiments are generally directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. For example, the contents of cells may be extracted from a table image along with structural context including the corresponding row and column information. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image.Type: GrantFiled: August 9, 2021Date of Patent: September 13, 2022Assignee: SAS INSTITUTE INC.Inventors: Yi Liao, Charles Franklin Board, William Robert Nadolski, David James Wheaton, Heather Michelle Goodykoontz, Adheesha Sanjuaya Arangala, Karthik Nakkeeran
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Publication number: 20210366099Abstract: Various embodiments are generally directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. For example, the contents of cells may be extracted from a table image along with structural context including the corresponding row and column information. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image.Type: ApplicationFiled: August 9, 2021Publication date: November 25, 2021Applicant: SAS Institute Inc.Inventors: Yi Liao, Charles Franklin Board, William Robert Nadolski, David James Wheaton, Heather Michelle Goodykoontz, Adheesha Sanjuaya Arangala, Karthik Nakkeeran
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Patent number: 11087077Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image.Type: GrantFiled: November 5, 2020Date of Patent: August 10, 2021Assignee: SAS INSTITUTE INC.Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
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Publication number: 20210200937Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image.Type: ApplicationFiled: November 5, 2020Publication date: July 1, 2021Applicant: SAS Institute Inc.Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
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Patent number: 11049235Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image.Type: GrantFiled: October 29, 2020Date of Patent: June 29, 2021Assignee: SAS INSTITUTE INC.Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
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Publication number: 20210110527Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image.Type: ApplicationFiled: October 29, 2020Publication date: April 15, 2021Applicant: SAS Institute Inc.Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
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Patent number: 9201866Abstract: Computer-implemented systems and methods are provided for determining an overall mood score of a document. For example, the document is received from a computer-readable medium. A text segment in a document is identified to be indicative of a mood of the document. The text segment is mapped to a mood scale among a predetermined set of mood scales. A mood weight associated with the mood scale for the text segment is generated. An overall mood score of the document is determined based at least in part on the mood weight.Type: GrantFiled: January 8, 2015Date of Patent: December 1, 2015Assignee: SAS INSTITUTE INC.Inventors: Thomas Lehman, Jody Porowski, Bruce Monroe Mills, Michael T. Brooks, Heather Michelle Goodykoontz
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Publication number: 20150120283Abstract: Computer-implemented systems and methods are provided for determining an overall mood score of a document. For example, the document is received from a computer-readable medium. A text segment in a document is identified to be indicative of a mood of the document. The text segment is mapped to a mood scale among a predetermined set of mood scales. A mood weight associated with the mood scale for the text segment is generated. An overall mood score of the document is determined based at least in part on the mood weight.Type: ApplicationFiled: January 8, 2015Publication date: April 30, 2015Inventors: THOMAS LEHMAN, Jody Porowski, Bruce Monroe Mills, Michael T. Brooks, Heather Michelle Goodykoontz
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Patent number: 9009027Abstract: Computer-implemented systems and methods are provided for determining an overall mood score of a document. For example, the document is received from a computer-readable medium. A text segment in a document is identified to be indicative of a mood of the document. The text segment is mapped to a mood scale among a predetermined set of mood scales. A mood weight associated with the mood scale for the text segment is generated. An overall mood score of the document is determined based at least in part on the mood weight.Type: GrantFiled: May 30, 2012Date of Patent: April 14, 2015Assignee: SAS Institute Inc.Inventors: Thomas Lehman, Jody Porowski, Bruce Monroe Mills, Michael T. Brooks, Heather Michelle Goodykoontz
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Publication number: 20130325437Abstract: Computer-implemented systems and methods are provided for determining an overall mood score of a document. For example, the document is received from a computer-readable medium. A text segment in a document is identified to be indicative of a mood of the document. The text segment is mapped to a mood scale among a predetermined set of mood scales. A mood weight associated with the mood scale for the text segment is generated. An overall mood score of the document is determined based at least in part on the mood weight.Type: ApplicationFiled: May 30, 2012Publication date: December 5, 2013Inventors: Thomas Lehman, Jody Porowski, Bruce Monroe Mills, Michael T. Brooks, Heather Michelle Goodykoontz