Andrew C Gallagher

US Patent:

20210258641, Aug 19, 2021

Filed:

May 6, 2020

Appl. No.:

16/973370

Inventors:

- Mountain View CA, US
Tuan Nguyen - San Jose CA, US
Vinay Bettadapura - San Jose CA, US
Andrew C. Gallagher - Fremont CA, US
Utsav Prabhu - Pittsburgh PA, US
Caroline Pantofaru - San Carlos CA, US

International Classification:

H04N 21/442
H04N 21/258
H04N 21/41
G06T 7/70

Abstract:

Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.

US Patent:

20190147105, May 16, 2019

Filed:

Nov 15, 2017

Appl. No.:

15/813978

Inventors:

- Mountain View CA, US
Michael Nechyba - Pittsburgh PA, US
Andrew C. Gallagher - Mountain View CA, US
Utsav Prabhu - Pittsburgh PA, US

International Classification:

G06F 17/30
G06N 3/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for partitioning videos. In one aspect, a method includes obtaining a partition of a video into one or more shots. Features are generated for each shot, including visual features and audio features. The generated features for each shot are provided as input to a partitioning neural network that is configured to process the generated features to generate a partitioning neural network output. The partition of the video into one or more chapters is determined based on the partitioning neural network output, where a chapter is a sequence of consecutive shots that are determined to be taken at one or more locations that are semantically related.