Patents by Inventor Burhan NECIOGLU

Burhan NECIOGLU 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).

  • Ultra-high compression of images based on deep learning
    Patent number: 11221990
    Abstract: A system for machine learning model parameters for image compression, including partitioning image files into a first set of regions, determining a first set of machine learned model parameters based on the regions, the first set of machine learned model parameters representing a first level of patterns in the image files, constructing a representation of each of the regions based on the first set of machine learned model parameters, constructing representations of the image files by combining the representations of the regions in the first set of regions, partitioning the representations of the image files into a second set of regions, and determining a second set of machine learned model parameters based on the second set of regions, the second set of machine learned model parameters representing a second level of patterns in the image files.
    Type: Grant
    Filed: April 3, 2015
    Date of Patent: January 11, 2022
    Assignee: The MITRE Corporation
    Inventors: Robert M. Taylor, Jr., Burhan Necioglu
  • ULTRA-HIGH COMPRESSION OF IMAGES BASED ON DEEP LEARNING
    Publication number: 20160292589
    Abstract: A system for machine learning model parameters for image compression, including partitioning image files into a first set of regions, determining a first set of machine learned model parameters based on the regions, the first set of machine learned model parameters representing a first level of patterns in the image files, constructing a representation of each of the regions based on the first set of machine learned model parameters, constructing representations of the image files by combining the representations of the regions in the first set of regions, partitioning the representations of the image files into a second set of regions, and determining a second set of machine learned model parameters based on the second set of regions, the second set of machine learned model parameters representing a second level of patterns in the image files.
    Type: Application
    Filed: April 3, 2015
    Publication date: October 6, 2016
    Applicant: The MITRE Corporation
    Inventors: Robert M. TAYLOR, Jr., Burhan NECIOGLU