Patents by Inventor Gowtham GANESAN

Gowtham GANESAN 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).

  • Semantic segmentation for stroke classification in inking application
    Patent number: 11631262
    Abstract: A data processing system for performing a semantic analysis of digital ink stroke data implements obtaining the digital ink stroke data representing handwritten text, drawings, or both; analyzing the digital ink stroke data to extract path signature feature information from the digital ink stroke data; analyzing the path signature feature information using a convolutional neural network (CNN) trained to perform a pixel-level sematic analysis of the digital ink stroke data and to output a pixel segmentation map with semantic prediction information for each pixel of digital ink stroke data; analyzing the pixel segmentation map to generate stroke-level semantic information using a pixel-to-stroke conversion model; and processing the digital ink stroke data based on the stroke-level semantic information.
    Type: Grant
    Filed: November 13, 2020
    Date of Patent: April 18, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Tianyi Chen, Gowtham Ganesan, Biyi Fang, Sheng Yi
  • Semantic Segmentation for Stroke Classification in Inking Application
    Publication number: 20220156486
    Abstract: A data processing system for performing a semantic analysis of digital ink stroke data implements obtaining the digital ink stroke data representing handwritten text, drawings, or both; analyzing the digital ink stroke data to extract path signature feature information from the digital ink stroke data; analyzing the path signature feature information using a convolutional neural network (CNN) trained to perform a pixel-level sematic analysis of the digital ink stroke data and to output a pixel segmentation map with semantic prediction information for each pixel of digital ink stroke data; analyzing the pixel segmentation map to generate stroke-level semantic information using a pixel-to-stroke conversion model; and processing the digital ink stroke data based on the stroke-level semantic information.
    Type: Application
    Filed: November 13, 2020
    Publication date: May 19, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Tianyi CHEN, Gowtham GANESAN, Biyi FANG, Sheng YI