Patents by Inventor Jacqueline Brixey

Jacqueline Brixey 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: 10579737
    Abstract: A framework for annotating image edit requests includes a structure for identifying natural language request as either comments or image edit requests and for identifying the text of a request that maps to an executable action in an image editing program, as well as to identify other entities from the text related to the action. The annotation framework can be used to aid in the creation of artificial intelligence networks that carry out the requested action. An example method includes displaying a test image, displaying a natural language input with selectable text, and providing a plurality of selectable action tag controls and entity tag controls. The method may also include receiving selection of the text, receiving selection of an action tag control for the selected text, generating a labeled pair, and storing the labeled pair with the natural language input as an annotated natural language image edit request.
    Type: Grant
    Filed: March 6, 2018
    Date of Patent: March 3, 2020
    Assignee: Adobe Inc.
    Inventors: Jacqueline Brixey, Walter W. Chang, Trung Bui, Doo Soon Kim, Ramesh Radhakrishna Manuvinakurike
  • Publication number: 20190278844
    Abstract: A framework for annotating image edit requests includes a structure for identifying natural language request as either comments or image edit requests and for identifying the text of a request that maps to an executable action in an image editing program, as well as to identify other entities from the text related to the action. The annotation framework can be used to aid in the creation of artificial intelligence networks that carry out the requested action. An example method includes displaying a test image, displaying a natural language input with selectable text, and providing a plurality of selectable action tag controls and entity tag controls. The method may also include receiving selection of the text, receiving selection of an action tag control for the selected text, generating a labeled pair, and storing the labeled pair with the natural language input as an annotated natural language image edit request.
    Type: Application
    Filed: March 6, 2018
    Publication date: September 12, 2019
    Inventors: Jacqueline Brixey, Walter W. Chang, Trung Bui, Doo Soon Kim, Ramesh Radhakrishna Manuvinakurike