Google Inc.

Microsoft Technology Licensing, LLC

Jess Holbrook

Aaron Michael Donsbach

Blaise Hilary Aguera-Arcas

Daniel Ramage

Krzysztof Duleba

Jon Gabriel Clapper

Juston Payne

Alison Lentz

Benjamin Vanik

Joshua Denali Lovejoy

Emily Anne Fortuna

Oliver Fritz Lange

Iwona Bialynicka-Birula

Jane T Kim

Li Zhang

Mary-Lynne Williams

Hugh Brendan McMahan

Robert Douglas Fritz, Iii

Israel Hilerio

Bruce Alan Morgan

Alexander H Malek

Warren G Stevens

Martin J Hall

Sarah J Bowers

Benjamin J McMahan

Divya Tyamagundlu

Kristine Kohlhepp

John Heinrich Lueders

Jeffrey Richard McKune

Ryan Charles Colvin

John Scarrow

Prashant Singh

Elliott Jeb Haber

Louis A Martinez

Kuei-Chih Sun

Jennifer C Trahan

Ritika Virmani

Avrum S Laurie

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

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

Various embodiments provide a mechanism to allow end users to install web applications and websites onto their desktop. In accordance with one or more embodiments, client-side code can be utilized to allow developers associated with a website to define boundaries associated with user interaction, and have those boundaries enforced by a run-time engine. In at least some embodiments, developers can provide, through JavaScript code and/or HTML markup, various configurations for the creation of a start menu shortcut, navigation, and so-called jumplist integration.

Web application home button

A Web browser of a computing device downloads or otherwise obtains a file. File information identifying the file is obtained and is sent to a remote reputation service. Client information identifying aspects of the computing device can also optionally be sent to the remote reputation service. In response to the file information (and optionally client information), a reputation indication for the file is received from the remote reputation service. A user interface for the Web browser to present at the computing device is determined, based at least in part on the reputation indication, and presented at the computing device.

Reputation checking obtained files

Various embodiments utilize certain events that occur within a Web browser to recognize an imminent intent, on the part of the user, to navigate to a website. Given such events, in combination with a user's past browsing patterns and history, an automated and personalized navigation solution can be provided to expedite navigation.

Determination and display of relevant websites

Growing community of inventors

Seattle, WA, United States of America

Jess Holbrook