Samsung Electronics Co., Ltd.

Hulu, LLC

Schuyler Cullen

Navdeep Singh Dhillon

Farshid Moussavi

Lin Sun

David Ballantyne Christianson

James Theodore Bartot

Craig Bruce Horman

Samuel J S Fu

Jason Hayes Christensen

Noah Raymond Heller

Hugh Crean

An object trajectory prediction system of a vehicle includes: one or more sensors to generate sensory data corresponding to one or more objects within a range of the vehicle; one or more processors; and memory connected to the one or more processors and having instructions that, when executed by the one or more processors, cause the one or more processors to: identify a first person of interest (POI) from the sensory data; estimate a 3-dimensional (3D) pose of the first POI from the sensory data; calculate a trajectory of the first POI according to at least the 3D pose of the first POI; and determine a navigational path of the vehicle according to the trajectory of the first POI.

System and method for object trajectory prediction in an autonomous scenario

Exemplary embodiments for visual communication between a first device and a second device, comprising: creating a 3D mesh model of a first device user; receiving sensor data from a sensor array during the visual communication session between the first device and the second device, wherein the image data includes motion of the first device user; determining 3D mesh model updates using the image data; transmitting the 3D mesh model updates to the second device for the second device to update display of the 3D mesh model of the first device user, wherein the update is represented as one or more of a blend shape and a relative vertex position change of the 3D mesh model.

Hybrid visual communication

Techniques for selecting a digital image are disclosed. The techniques may include receiving a first set of digital images, analyzing the first set of digital images to extract first image features from each of the first set of digital images, accessing a user profile, comparing the extracted first image features to a preset list of image features, ranking each digital image of the first set, selecting each digital image having a ranking that exceeds a threshold, assigning a category to each selected digital image based on a comparison of each selected digital image to a category database of digital image categories, displaying each selected digital image with the assigned category, receiving an input from the user in response to the displaying, updating the user profile and the category database based on the input, and selecting at least one subsequent digital image based on the updated user profile and category database.

Intelligent determination of aesthetic preferences based on user history and properties

Exemplary embodiments for visual communication between a first device and a second device, comprising: using data from a camera system to create a 3D mesh model of a first device user, wherein the 3D mesh model is made available for storage on the second device for subsequent display on the second device; during the visual communication session between the first device and the second device, receiving sensor data from a sensor array, including image data capturing changing facial expressions and motion of the first device user; using the image data to determine 3D mesh model updates; transmitting the 3D mesh model updates to the second device for the second device to update display of the 3D mesh model of the first device user; and receiving from the second device for display on the first device at least one of a 2D video stream or updates to a 3D mesh model of a second device user.

Growing community of inventors

San Jose, CA, United States of America

Schuyler Cullen