Google Inc.

Microsoft Technology Licensing, LLC

Jon Gabriel Clapper

Aaron Michael Donsbach

Jan-Kristian Markiewicz

Marc Seiji Oshiro

Blaise Hilary Aguera-Arcas

Daniel Ramage

Krzysztof Duleba

Juston Payne

Alison Lentz

Jess Holbrook

Benjamin Vanik

Joshua Denali Lovejoy

Emily Anne Fortuna

Oliver Fritz Lange

Iwona Bialynicka-Birula

Orry Wijanarko Soegiono

Gerrit H Hofmeester

John Thomas DiMartile, Iii

Li Zhang

James Lee

Maverick J Velasco

Moneta K Ho Kushner

Hugh Brendan McMahan

Robert Douglas Fritz, Iii

Jesse Clay Satterfield

Harold S Gomez

Daryl Tanghe

Nicholas Randall Waggoner

David Earl Washington

Christopher Max Breithaupt

Benjamin J McMahan

Lauren Michelle Beckwith

Megan Ann Bates

Divya Tyamagundlu

Kristine Kohlhepp

Chantal M Leonard

Holger Kuehnle

John C Whytock

Theresa B Pittappilly

Joseph William Traylor

Jennifer Marie Wolfe

Ayshia Baker Gibb

Helen Chan

Jan-Kristian Markiewiez

Alex Pereira

Display screen with graphical user interface

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.

Low power framework for controlling image sensor mode in a mobile image capture device

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.

Systems and methods for selective retention and editing of images captured by mobile image capture device

Display screen with animated graphical user interface

Display screen with animated icon

Display screen with icon

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.

Systems and methods that leverage deep learning to selectively store images at a mobile image capture device

Technologies are generally described for providing a tethered selection handle for direct selection of content on a touch or gesture interface. Touch or gesture input on a computing device may be detected to begin content selection, and a start handle may be displayed near the initial input location. An end handle may be displayed to indicate an end of the selection. After the selection, the end handle, a portion of the end handle, or a separate indicator may be displayed at a location of user's current interaction point to indicate to the user that the computing device is aware of the movement of the user's interaction point away from the end handle, but the content selection had not changed. The newly displayed indicator may be tethered to the end handle to further indicate the connection between the end of the selected content and the user's current interaction point.

Tethered selection handle

Growing community of inventors

Seattle, WA, United States of America

Jon Gabriel Clapper