Patents by Inventor Alison Lentz

Alison Lentz 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: 11159763
    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. In particular, the present disclosure provides low power frameworks for controlling image sensor mode in a mobile image capture device. On example low power frame work includes a scene analyzer that analyzes a scene depicted by a first image and, based at least in part on such analysis, causes an image sensor control signal to be provided to an image sensor to adjust at least one of the frame rate and the resolution of the image sensor.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: October 26, 2021
    Assignee: Google LLC
    Inventors: Aaron Michael Donsbach, Benjamin Vanik, Jon Gabriel Clapper, Alison Lentz, Joshua Denali Lovejoy, Robert Douglas Fritz, III, Krzysztof Duleba, Li Zhang, Juston Payne, Emily Anne Fortuna, Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Benjamin James McMahan, Oliver Fritz Lange, Jess Holbrook
  • Publication number: 20200351466
    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. In particular, the present disclosure provides low power frameworks for controlling image sensor mode in a mobile image capture device. On example low power frame work includes a scene analyzer that analyzes a scene depicted by a first image and, based at least in part on such analysis, causes an image sensor control signal to be provided to an image sensor to adjust at least one of the frame rate and the resolution of the image sensor.
    Type: Application
    Filed: July 23, 2020
    Publication date: November 5, 2020
    Inventors: Aaron Michael Donsbach, Benjamin Vanik, Jon Gabriel Clapper, Alison Lentz, Joshua Denali Lovejoy, Robert Douglas Fritz, III, Krzysztof Duleba, Li Zhang, Juston Payne, Emily Anne Fortuna, Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Benjamin James McMahan, Oliver Fritz Lange, Jess Holbrook
  • 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
  • Patent number: 10728489
    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. In particular, the present disclosure provides low power frameworks for controlling image sensor mode in a mobile image capture device. On example low power frame work includes a scene analyzer that analyzes a scene depicted by a first image and, based at least in part on such analysis, causes an image sensor control signal to be provided to an image sensor to adjust at least one of the frame rate and the resolution of the image sensor.
    Type: Grant
    Filed: August 22, 2018
    Date of Patent: July 28, 2020
    Assignee: Google LLC
    Inventors: Aaron Michael Donsbach, Benjamin Vanik, Jon Gabriel Clapper, Alison Lentz, Joshua Denali Lovejoy, Robert Douglas Fritz, III, Krzysztof Duleba, Li Zhang, Juston Payne, Emily Anne Fortuna, Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Benjamin James McMahan, Oliver Fritz Lange, Jess Holbrook
  • Patent number: 10685256
    Abstract: Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.
    Type: Grant
    Filed: April 17, 2019
    Date of Patent: June 16, 2020
    Assignee: Google LLC
    Inventors: Don Barnett, John DiMartile, Alison Lentz, Rachel Lara Been
  • Patent number: 10540055
    Abstract: Methods and apparatus directed to generating one or more interactive content items based on content displayed on a computing device are described herein. In various implementations, content displayed to a user by a display of a computing device may be segmented into semantic region(s) based on respective content of the semantic region(s). User input may be received, e.g., via a biometric sensor of the computing device. The user input may indicate a desire of the user to act upon the semantic region(s). In response to the user input, interactive content item(s) corresponding to the semantic region(s) may be generated and provided for presentation to the user via output device(s) of the computing device. User interaction with a given interactive content item may cause the computing device to perform action(s) that are tailored to the semantic region that corresponds to the given interactive content item.
    Type: Grant
    Filed: February 8, 2017
    Date of Patent: January 21, 2020
    Assignee: GOOGLE LLC
    Inventors: David Jones, Alison Lentz, Tim Wantland
  • Publication number: 20190244057
    Abstract: Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.
    Type: Application
    Filed: April 17, 2019
    Publication date: August 8, 2019
    Inventors: Don Barnett, John DiMartile, Alison Lentz, Rachel Lara Been
  • Patent number: 10289932
    Abstract: Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.
    Type: Grant
    Filed: July 31, 2017
    Date of Patent: May 14, 2019
    Assignee: Google LLC
    Inventors: Don Barnett, John DiMartile, Alison Lentz, Rachel Lara Been
  • Publication number: 20190034759
    Abstract: Methods and systems including computer programs encoded on a computer storage medium, for generating and displaying object recognition state indicators during object recognition processing of an image. In one aspect, a method includes performing object recognition on an image displayed in an application environment of an application on a user device using an object recognition model having multiple object recognition states including an identification state, where a candidate object in the image is positively identified, and one or more precursor states to the identification state, and where each of the precursor states has a different respective indicator for display within the image during the respective precursor state that visually emphasizes the candidate object and the identification state has a different respective indicator for display within the image during the identification state that visually emphasizes the positively identified object as being positively identified.
    Type: Application
    Filed: July 31, 2017
    Publication date: January 31, 2019
    Inventors: Don Barnett, John DiMartile, Alison Lentz, Rachel Lara Been
  • Publication number: 20180367752
    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. In particular, the present disclosure provides low power frameworks for controlling image sensor mode in a mobile image capture device. On example low power frame work includes a scene analyzer that analyzes a scene depicted by a first image and, based at least in part on such analysis, causes an image sensor control signal to be provided to an image sensor to adjust at least one of the frame rate and the resolution of the image sensor.
    Type: Application
    Filed: August 22, 2018
    Publication date: December 20, 2018
    Inventors: Aaron Michael Donsbach, Benjamin Vanik, Jon Gabriel Clapper, Alison Lentz, Joshua Denali Lovejoy, Robert Douglas Fritz, III, Krzysztof Duleba, Li Zhang, Juston Payne, Emily Anne Fortuna, Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Benjamin James McMahan, Oliver Fritz Lange, Jess Holbrook
  • Publication number: 20180225032
    Abstract: Methods and apparatus directed to generating one or more interactive content items based on content displayed on a computing device are described herein. In various implementations, content displayed to a user by a display of a computing device may be segmented into semantic region(s) based on respective content of the semantic region(s). User input may be received, e.g., via a biometric sensor of the computing device. The user input may indicate a desire of the user to act upon the semantic region(s). In response to the user input, interactive content item(s) corresponding to the semantic region(s) may be generated and provided for presentation to the user via output device(s) of the computing device. User interaction with a given interactive content item may cause the computing device to perform action(s) that are tailored to the semantic region that corresponds to the given interactive content item.
    Type: Application
    Filed: February 8, 2017
    Publication date: August 9, 2018
    Inventors: David Jones, Alison Lentz, Tim Wantland
  • 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: 9836819
    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: December 30, 2015
    Date of Patent: December 5, 2017
    Assignee: Google LLC
    Inventors: Aaron Michael Donsbach, Benjamin Vanik, Jon Gabriel Clapper, Alison Lentz, Joshua Denali Lovejoy, Robert Douglas Fritz, III, Krzysztof Duleba, Li Zhang, Juston Payne, Emily Anne Fortuna, Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Hugh Brendan McMahan, Oliver Fritz Lange, Jess Holbrook
  • 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
  • Patent number: D853410
    Type: Grant
    Filed: July 24, 2017
    Date of Patent: July 9, 2019
    Assignee: Google LLC
    Inventors: Don Barnett, John DiMartile, Alison Lentz, Rachel Lara Been
  • Patent number: D869480
    Type: Grant
    Filed: April 23, 2019
    Date of Patent: December 10, 2019
    Assignee: Google LLC
    Inventors: Don Barnett, John DiMartile, Alison Lentz, Rachel Lara Been
  • Patent number: D869481
    Type: Grant
    Filed: April 23, 2019
    Date of Patent: December 10, 2019
    Assignee: Google LLC
    Inventors: Don Barnett, John DiMartile, Alison Lentz, Rachel Lara Been