Patents by Inventor David James Wheaton

David James Wheaton 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).

  • Patent number: 11704785
    Abstract: Embodiments are 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. Some embodiments utilize breakpoints to enable the system to match different documents with internal variations to a common template. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. 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: Grant
    Filed: August 17, 2022
    Date of Patent: July 18, 2023
    Assignee: SAS INSTITUTE INC.
    Inventors: David James Wheaton, Stuart Dakari Cooke, III, William Robert Nadolski
  • Publication number: 20220392047
    Abstract: Embodiments are 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. Some embodiments utilize breakpoints to enable the system to match different documents with internal variations to a common template. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. 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: Application
    Filed: August 17, 2022
    Publication date: December 8, 2022
    Applicant: SAS Institute Inc.
    Inventors: David James Wheaton, Stuart Dakari Cooke, III, William Robert Nadolski
  • Patent number: 11443416
    Abstract: 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: Grant
    Filed: August 9, 2021
    Date of Patent: September 13, 2022
    Assignee: SAS INSTITUTE INC.
    Inventors: Yi Liao, Charles Franklin Board, William Robert Nadolski, David James Wheaton, Heather Michelle Goodykoontz, Adheesha Sanjuaya Arangala, Karthik Nakkeeran
  • Publication number: 20210366099
    Abstract: 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: Application
    Filed: August 9, 2021
    Publication date: November 25, 2021
    Applicant: SAS Institute Inc.
    Inventors: Yi Liao, Charles Franklin Board, William Robert Nadolski, David James Wheaton, Heather Michelle Goodykoontz, Adheesha Sanjuaya Arangala, Karthik Nakkeeran
  • Patent number: 11087077
    Abstract: 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: Grant
    Filed: November 5, 2020
    Date of Patent: August 10, 2021
    Assignee: SAS INSTITUTE INC.
    Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
  • Publication number: 20210200937
    Abstract: 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: Application
    Filed: November 5, 2020
    Publication date: July 1, 2021
    Applicant: SAS Institute Inc.
    Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
  • Patent number: 11049235
    Abstract: 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: Grant
    Filed: October 29, 2020
    Date of Patent: June 29, 2021
    Assignee: SAS INSTITUTE INC.
    Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
  • Publication number: 20210110527
    Abstract: 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: Application
    Filed: October 29, 2020
    Publication date: April 15, 2021
    Applicant: SAS Institute Inc.
    Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz