Patents by Inventor Darren Rhea

Darren Rhea 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).

  • Publication number: 20220180218
    Abstract: An automation analytics system and method for building analytical models for an education application uses data-availability segments of students, which are clustered into segment clusters, to create the analytical models for the segment clusters using a machine learning process. The analytical models can be used to identify at least at least actionable insights.
    Type: Application
    Filed: August 12, 2021
    Publication date: June 9, 2022
    Applicant: Civitas Learning, Inc.
    Inventors: David KIL, Jorgen HARMSE, Michael JAUCH, Kristen HUNTER, David PATSCHKE, Stephen D. HILDERBRAND, Laura MALCOM, Darren RHEA
  • Patent number: 10999582
    Abstract: Semantically-segmented video compression includes loading a frame of video imagery, determining a context for the frame, selecting an object of interest for the context and identifying within the frame, a portion of the frame of the imagery deemed to be of greater interest than other portions of the frame of video imagery based upon the object of interest of the context determined for the video imagery, and an object, that has been pre-specified to be of importance to the context. A hybrid compression of the video imagery is then performed that includes both a higher quality compression of the portion of the video imagery determined to be a region of higher interest that produces a minimization of loss during decompression and also a compression of the other portions of the video imagery determined not to be a region of higher interest that produces more loss during decompression.
    Type: Grant
    Filed: October 14, 2019
    Date of Patent: May 4, 2021
    Assignee: AWECOM, INC.
    Inventors: Christopher Priebe, Darren Rhea, Christopher Hillar, Alexander Terekhov, Felix Effenberger
  • Publication number: 20210112256
    Abstract: Semantically-segmented video compression includes loading a frame of video imagery, determining a context for the frame, selecting an object of interest for the context and identifying within the frame, a portion of the frame of the imagery deemed to be of greater interest than other portions of the frame of video imagery based upon the object of interest of the context determined for the video imagery, and an object, that has been pre-specified to be of importance to the context. A hybrid compression of the video imagery is then performed that includes both a higher quality compression of the portion of the video imagery determined to be a region of higher interest that produces a minimization of loss during decompression and also a compression of the other portions of the video imagery determined not to be a region of higher interest that produces more loss during decompression.
    Type: Application
    Filed: October 14, 2019
    Publication date: April 15, 2021
    Inventors: Christopher Priebe, Darren Rhea, Christopher Hillar, Alexander Terekhov, Felix Effenberger
  • Publication number: 20150193699
    Abstract: An automation analytics system and method for building analytical models for an education application uses data-availability segments of students, which are clustered into segment clusters, to create the analytical models for the segment clusters using a machine learning process. The analytical models can be used to identify at least at least actionable insights.
    Type: Application
    Filed: January 8, 2015
    Publication date: July 9, 2015
    Applicant: CIVITAS LEARNING, INC.
    Inventors: David Kil, Jorgen Harmse, Michael Jauch, Kristen Hunter, David Patschke, Stephen D. Hilderbrand, Laura Malcolm, Darren Rhea