Microsoft Technology Licensing, LLC

Google Inc.

Divya Tyamagundlu

Donald Allen Barnett

Veronica Y Law

Ahmad Bilal

Tirthankar Sengupta

Shamik Bandyopadhyay

Kathryn C Lemson

Vikram Kapoor

Aaron Michael Donsbach

Blaise Hilary Aguera-Arcas

Daniel Ramage

Krzysztof Duleba

Jon Gabriel Clapper

Hugh Brendan McMahan

Juston Payne

Alison Lentz

Jess Holbrook

Benjamin Vanik

Joshua Denali Lovejoy

Emily Anne Fortuna

Oliver Fritz Lange

Iwona Bialynicka-Birula

Kristine Kohlhepp

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

Apparatus and methods are disclosed for allowing smart phone users to 'capture the moment' by allowing easy access to a camera application when a mobile device is in an above-lock (or locked) mode, while also preventing unauthorized access to other smart phone functionality. According to one embodiment of the disclosed technology, a method of operating a mobile device having an above-lock state and a below-lock state comprises receiving input data requesting invocation of an camera application when the mobile device is in the above-lock state and invoking the requested camera application on the device, where one or more functions of the requested application are unavailable as a result of the mobile device being in the above-lock state.

Above-lock camera access

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

Growing community of inventors

Bellevue, WA, United States of America

Divya Tyamagundlu