Samsung Electronics Co., Ltd.

Anthony S Liot

Simon J Gibbs

Pranav K Mistry

Yu Song

Jihee Kim

Abhijit Z Bendale

Lu Luo

Yoshiya Hirase

Sajid Hassan Sadi

Bo Li

Brian Thomas Harms

Cathy Kim

Hyun Jae Kang

Ruokan He

Won J Jeon

Zhihan Ying

Michael Noh

Stanislaw Antol

Sung Ho Park

Curtis D Aumiller

Sergio Perdices-Gonzalez

Jiawei Zhang

Jasvinder Singh

Link Chun Huang

Marc Estruch Tena

Bola Esther Yoo

Bulent Kasman

Anil Unnikrishnan

Thomas Brenner

Muralidhar Kattimani

Cheoljun Lee

Robert Wang

Praveen Jayakumar

Jason Yeh

Jack Thrun

Ik Seon Kang

Younseong Kim

Yingying Ren

Arnaud Renevier

Sergi Perdices-Gonzalez

Samara Ren

Brian Harms

Saji Sadi

Sung-Ho Park

Ji-Hee Kim

An apparatus and method for a wall clock AI voice assistant, such as a computing device, is provided herein. The wall-mountable electronic clock includes an optical sensor, a microphone, a digital display and a speaker. The optical sensor captures image data representing at least a portion of a user. The microphone receives an audio input from the user when certain criteria is met, such as when the image data representing at least a portion of the user is captured. The digital display provides visual information to the user provided in response to the captured image data or the audio input. The speaker provides audio information provides from a digital voice assistant in response to the captured image data or the audio input.

Wall clock AI voice assistant

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, 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

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Cupertino, CA, United States of America

Anthony S Liot