Samsung Electronics Co., Ltd.

Sony Corporation

Sony Electronics Inc

Other

Simon J Gibbs

Anugeetha Kunjithapatham

Mithun Sheshagiri

Priyang Rathod

Anthony S Liot

Phuong Nguyen

Xinwen Zhang

Alan Messer

Sangoh Jeong

Abhijit Z Bendale

Pranav K Mistry

Doreen Cheng

Michael Hoch

Jihee Kim

Yu Song

Lu Luo

Sidney Wang

Won J Jeon

Link Chun Huang

Tasneem G Brutch

Anil Unnikrishnan

Yoshiya Hirase

Zhihan Ying

Bottyán Németh

Sung Ho Park

Onur Aciicmez

Bo Li

Hubert Andre Le Van Gong

Hyun Jae Kang

Richter A Rafey

Bola Esther Yoo

Kijeong Kwon

Peter G Broadwell

Keiji Shiotani

Neil David Matthews

Stanislaw Antol

Rick Rafey

Jeffrey Dorn

Sajid Hassan Sadi

Sergio Perdices-Gonzalez

Christopher A Peri

Feng Zou

Swaroop S Kalasapur

Brian Thomas Harms

Cathy Kim

Jasvinder Singh

Thomas Phan

Rodger J Lea

Joseph Alexander Dara-Abrams

Edward Eytchison

Bulent Kasman

Jon Arthur Fairhurst

Ravi Gauba

Jeff J Liu

Ruokan He

Muralidhar Kattimani

Michael Noh

Jason Yeh

Victoria S Coleman

Linghan Cai

Chang Shu

Arunachalam Balaraman

Pryiang Rathod

Joshua Schiffman

Yingying Ren

Arnaud Renevier

Andreas Schwager

Sergi Perdices-Gonzalez

Samara Ren

Brian Harms

Saji Sadi

Sung-Ho Park

Ji-Hee Kim

A digital human interactive platform can determine a contextual response to a user input and generate a digital human. The digital human can convey the contextual response to the user in real time. The digital human can be configured to convey the contextual response with a predetermined behavior corresponding to the contextual response.

Interactive system application for digital humans

A digital human development platform can enable a user to generate a digital human. The digital human development platform can receive user input specifying a dialogue for the digital human and one or more behaviors for the digital human, the one or more specified behaviors corresponding with one or more portions of the dialog on a common timeline. Scene data can be generated with the digital human development platform by merging the one or more behaviors with one or more portions of the dialogue based on times of the one or more behaviors and the one or more portions of the dialog on the common timeline.

Development platform for digital humans

A computer-implemented method of providing an emotion-aware reactive interface in an electronic device includes receiving an image of a user as an input and identifying a multi-modal non-verbal cue in the image. The method further includes interpreting the multi-modal non-verbal cue to determine a categorization and outputting a reactive interface event determined based on the categorization.

Emotion-aw are reactive interface

A device may include a camera configured to capture a live image data comprising an image of an object, and a processor coupled to the camera. The processor may be configured to recognize content of a selected portion of the live image data based on a contextual information relevant to the object using computer vision technology, and generate a visual information based on the recognized content. The device may also include an interface circuitry coupled to the processor. The interface circuitry may be configured to present the live image data, and overlay the live image data with the visual information.

Augmented reality device and operation thereof

A method includes retrieving, by a device, contextual information based on at least one of an image, the device, user context, or a combination thereof. At least one model is identified from multiple models based on the contextual information and at least one object recognized in an image based on at least one model. At least one icon is displayed at the device. The at least one icon being associated with at least one of an application, a service, or a combination thereof providing additional information.

System and method for contextual driven intelligence

One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display.

Vision intelligence management for electronic devices

In one embodiment, a computing system may access one or more frames of media content with each frame corresponding to at least part of an image. The computing system may automatically detect at least one object in at least one of the one or more frames. The computing system may automatically identify the at least one object. For each of the identified objects, the computing system may automatically determine an annotation corresponding to that object and each annotation may include one or more graphical elements. For each annotation, the computing system may automatically associate that annotation for display with its corresponding object.

Augmented reality

Various devices, arrangements and methods for managing communications using a head mounted display device are described. In one aspect, tracking data is generated at least in part by one or more sensors in a head mounted display (HMD) device. The tracking data indicates one or more facial movements of a user wearing the HMD device. A patch image is obtained based on the tracking data. The patch image is merged with a facial image. Various embodiments relate to the HMD device and other methods for generating and using the patch and facial images.

Image processing for head mounted display devices

In one aspect, a method for operating a virtual agent will be described. An interaction context is obtained. An agent state is determined based on the obtained interaction context. The agent state indicates an activity of the virtual agent. The emotion of the virtual agent is updated based on the obtained interaction context, the determined agent state and/or a personality of the virtual agent. One or more behaviors are selected. Each behavior involves or indicates a change in an appearance of the virtual agent or generation of audio. Various embodiments relate to devices, servers, software and systems arranged to implement one or more of the above operations.

Selecting a behavior of a virtual agent

A method of enabling a point of sale (POS) device to perform a transaction is described. The method comprises initiating, by an electronic device, the transaction with the POS terminal; analyzing images of the POS terminal captured by a camera of the electronic device; and identifying the POS terminal based upon the images.

Guided positional tracking

In one aspect, a method for executing a web component using a server device will be described. A web component is provided at a client device. The client device also provides a shadow DOM based on the web component. The shadow DOM is synchronized with a shadow DOM cache at a server device. Various implementations relate to methods, server devices, client devices, software development kits and computer readable mediums that are involved in executing a web component at a server device.

System for cloud computing using web components

A method, mobile device, and non-transitory computer readable medium for transmitting information. The method includes determining, by a mobile device, a distance between the mobile device and another device in response to a request for the mobile device to transmit the information. The method also includes determining, by the mobile device, whether the distance between the mobile device and the other device is within a threshold distance. Additionally, the method includes transmitting, by the mobile device, the information to the other device after determining that the distance between the mobile device and the other device is within the threshold distance.

Method and apparatus to trigger mobile payment based on distance

An adaptive, user-centric system and network for controlling power consumption by an appliance is described. The appliance may be any type of powered apparatus, such as A/C units, heaters, computers, lights, kitchen appliances, home media centers, and so on. The power to these appliances is based on an estimated arrival time of the user to the destination where the appliance is located. It may also be based on previous performance data for the particular appliance, that is, given the current conditions (e.g., various environment temperature readings), how long has it taken in the past for the appliance to reach a certain level of operation. The location of the user is determined by a device that has some location-based services and is able to transmit this location/position data in a message to a power-control server. The server applies rules contained in the message to derive an estimated arrival time for the user which is used to power appliances at the user's destination.

Adaptive and user location-based power saving system

In a first embodiment of the present invention, a method for enabling hardware acceleration of web applications is provided, comprising: parsing a web page using a scripting engine, wherein the web page necessitates running a web application; accessing one or more Application Program Interfaces (APIs) that provide parallelization, and distribute tasks of the web application among multiple cores of a multi-core central processing unit (CPU) or graphical processing unit (GPU), wherein the accessing uses a compute context class that, when instantiated, creates a compute context object that acts as a bridge between the scripting engine and the one or more APIs; and creating one or more kernels to operate on the multiple cores.

Hardware acceleration of web applications

Growing community of inventors

San Jose, CA, United States of America

Simon J Gibbs