Patents by Inventor Kristine Kohlhepp

Kristine Kohlhepp 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: 10732809
    Abstract: The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. The mobile image capture device is operable to input an image into at least one neural network and to receive at least one descriptor of the desirability of a scene depicted by the image as an output of the at least one neural network. The mobile image capture device is operable to determine, based at least in part on the at least one descriptor of the desirability of the scene of the image, whether to store a second copy of such image and/or one or more contemporaneously captured images in a non-volatile memory of the mobile image capture device or to discard a first copy of such image from a temporary image buffer without storing the second copy of such image in the non-volatile memory.
    Type: Grant
    Filed: March 6, 2018
    Date of Patent: August 4, 2020
    Assignee: Google LLC
    Inventors: Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Hugh Brendan McMahan, Oliver Fritz Lange, Emily Anne Fortuna, Divya Tyamagundlu, Jess Holbrook, Kristine Kohlhepp, Juston Payne, Krzysztof Duleba, Benjamin Vanik, Alison Lentz, Jon Gabriel Clapper, Joshua Denali Lovejoy, Aaron Michael Donsbach
  • Publication number: 20180196587
    Abstract: The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. The mobile image capture device is operable to input an image into at least one neural network and to receive at least one descriptor of the desirability of a scene depicted by the image as an output of the at least one neural network. The mobile image capture device is operable to determine, based at least in part on the at least one descriptor of the desirability of the scene of the image, whether to store a second copy of such image and/or one or more contemporaneously captured images in a non-volatile memory of the mobile image capture device or to discard a first copy of such image from a temporary image buffer without storing the second copy of such image in the non-volatile memory.
    Type: Application
    Filed: March 6, 2018
    Publication date: July 12, 2018
    Inventors: Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Hugh Brendan McMahan, Oliver Fritz Lange, Emily Anne Fortuna, Divya Tyamagundlu, Jess Holbrook, Kristine Kohlhepp, Juston Payne, Krzysztof Duleba, Benjamin Vanik, Alison Lentz, Jon Gabriel Clapper, Joshua Denali Lovejoy, Aaron Michael Donsbach
  • Patent number: 9836484
    Abstract: The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. The mobile image capture device is operable to input an image into at least one neural network and to receive at least one descriptor of the desirability of a scene depicted by the image as an output of the at least one neural network. The mobile image capture device is operable to determine, based at least in part on the at least one descriptor of the desirability of the scene of the image, whether to store a second copy of such image in a non-volatile memory of the mobile image capture device or to discard a first copy of such image from a temporary image buffer without storing the second copy of such image in the non-volatile memory.
    Type: Grant
    Filed: December 30, 2015
    Date of Patent: December 5, 2017
    Assignee: Google LLC
    Inventors: Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Hugh Brendan McMahan, Oliver Fritz Lange, Emily Anne Fortuna, Divya Tyamagundlu, Jess Holbrook, Kristine Kohlhepp, Juston Payne, Krzysztof Duleba, Benjamin Vanik, Alison Lentz, Jon Gabriel Clapper, Joshua Denali Lovejoy, Aaron Michael Donsbach