Samsung Electronics Co., Ltd.

Hyun-soo Choi

Gun-hee Lee

Sung-jin Kim

Moon-sik Jeong

Sung-do Choi

Do-wan Kim

Yong-gyoo Kim

Dai-woong Choi

In-kwon Choi

Kyung-su Kim

Ju-hee Kim

Jae-kyeong Lee

Jae-yun Jeong

Su-jung Bae

Seong-oh Lee

Hyun-joo Jung

Jin-bong Lee

Hye-sun Kim

Hyeon-hee Cha

Il-koo Kim

So-Young Kim

Joon-Oo Kim

Chang-Yeong Kim

Chang-han Kim

Do-Wan Kim

Moon-Sik Jeong

Joon-Hyun Lee

Sung-Do Choi

Byung-joon Chang

Hyung-soon Kim

Jae-hyeon Yoo

Jae-Yun Jeong

So-won Kim

Seong-Oh Lee

Gun-Hee Lee

Dai-Woong Choi

Jae-Kyeong Lee

Jae-Hyeon Yoo

A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.

Method, apparatus, and recording medium for processing image

The present disclosure relates to an artificial intelligence (AI) system for simulating functions of a human brain such as cognition and decision-making by using machine learning algorithms such as deep learning, and applications thereof. In particular, the present disclosure provides a method of recognizing an object by using an AI system and its application, including: extracting pieces of first feature information respectively regarding a plurality of images, each image including an object; generating at least one piece of second feature information representing a correlation between the plurality of images by combining together the extracted pieces of first feature information respectively regarding the plurality of images; and recognizing, based on the at least one piece of second feature information, the object included in each of the plurality of images by using a pre-generated learning network model.

Method and apparatus for recognizing object

According to the present disclosure, an artificial intelligence (AI) system and a method of providing content according to an application of the AI system are provided. The method includes: obtaining one or more images included in the content; generating additional content for guiding user information, the additional content corresponding to the one or more images, based on feature information extracted from the one or more images; when receiving a request for reproducing the content, synchronizing the generated additional content with the one or more images; and reproducing the content and the additional content, according to a result of the synchronizing.

Method and terminal for providing content

Provided are an artificial intelligence (AI) system that simulates functions of a human brain such as recognition and judgment by utilizing a machine learning algorithm such as deep learning, etc., and an application of the AI system. Provided are an AI system and a method of recognizing an object according to the application of the AI system, the method including: obtaining a plurality of pieces of sensor data about the object from a plurality of different types of sensors; converting at least some of the plurality of pieces of sensor data into two-dimensional (2D) sensor data; and recognizing the object by using a previously generated learning network model based on 2D image data obtained from an image sensor, which is one of the plurality of sensors, and the 2D sensor data.

Provided is a method of executing content, the method including: recognizing an external electronic device connected to an electronic device; determining a type of the content provided from the external electronic device to the electronic device based on a user interface (UI) displayed on a screen of the electronic device, as the external electronic device is recognized; and determining an image quality control mode for the content based on the determined type of the content.

Method and apparatus for executing content

An image providing method includes displaying a first image, the first image including an object and a background; receiving a user input selecting the object or the background as a region of interest; acquiring first identification information associated with the region of interest based on first attribute information of the first image; acquiring a second image from a target image, the second image including second identification information, the second identification information being the same as the first identification information; and generating an effect image based on at least one of the first image and the second image.

Method and device for providing image

Provided are a low-power ultrasound sensor that detects whether an object exists at a high speed, an object detecting method of the ultrasound sensor, and a computer-readable storage medium. The ultrasound sensor may include: a transmitter that outputs a plurality of first ultrasound beams having different frequencies; a receiver that receives a first reflection signal that is output when the output plurality of first ultrasound beams are reflected from an object; and a controller that determines a first area in a space, controls the transmitter to respectively output the plurality of first ultrasound beams to a plurality of first sub-areas that are included in the first area, and determines whether the object is included in each of the plurality of first sub-areas, based on the first reflection signal.

Ultrasound sensor and object detecting method thereof

Provided are a method used by a user to change focus of a camera to a particular point with respect to a target object via a wearable device and the wearable device performing the method. The wearable device may display a target object image displayed on a preview display of the camera and may receive a user input for changing focus to a particular point of the target object image. The wearable device may request the camera to change focus based on the user input.

Wearable device for changing focal point of camera and method thereof

A touch input method, a terminal contacting a first body part, a non-transitory computer-readable storage medium, and a chipset are provided. The touch input method includes receiving, by a terminal contacting a first body part, a touch input applied by a second body part; measuring a distance between the terminal and the second body part; sensing, by the terminal, whether the second body part contacts the first body part; and determining input information for controlling the terminal, based on the measured distance between the terminal and the second body part and changed information of an electrical signal transmitted from the terminal to the first body part.

Apparatus and method for providing touch inputs by using human body

Growing community of inventors

Seoul, South Korea

Hyun-soo Choi