Samsung Electronics Co., Ltd.

Anant Baijal

Jayoon Koo

Cheulhee Hahm

Byeong-seob Ko

Vivek Agarwal

Sang-mo Son

Jeongrok Jang

Namuk Kim

Wookhyung Kim

Hyunjoo Chung

Hyeon-sik Jeong

Eunae Cho

Sangshin Park

Ilhyun Cho

Jaehwang Lee

In-woo Hwang

Daeeun Hyun

Seungwon Cha

Hyeon Sik Jeong

Byeong Seob Ko

Mijeong Kwon

Jin-sung Kim

Sang Uk Son

Jeong-su Kim

Hae-kwang Park

Young-tae Kim

Sang-moon Lee

Sang-chul Ko

Young-Tae Kim

Jae-youn Cho

Sang-Moon Lee

Kunsok Kang

Jae-hoon Jeong

Jaesung Park

Hyunkyu Yun

Seung-yeol Lee

Dongwook Han

Ki-beom Kim

Ki-wan Eom

Changkun Park

Seungki Cho

Ki-Beom Kim

Jung-eun Park

Seungyeon Jeong

Kangil Chung

Keuntek Lee

Dae Eun Hyun

Mi Jeong Kwon

Sang Mo Son

Yun Joo Choi

Shobhit Jain

Minki Lee

Hoshin Son

Byeong-Seob Ko

In-Woo Hwang

An electronic device is provided. The electronic device includes a memory storing one or more instructions, and a processor configured to execute the one or more instruction stored in the memory. The processor is configured to execute the one or more instructions to obtain a subjective assessment score for each of a plurality of sub-regions included in an input frame, the subjective assessment score being a Mean Opinion Score (MOS); obtain a location weight for each of the plurality of sub-regions, the location weight indicating characteristics according to a location of a display; obtain a weighted assessment score for each of the plurality of sub-regions, based on the subjective assessment score for each of the plurality of sub-regions and the location weight for each of the plurality of sub-regions; and obtain a final quality score for the entire video frame, based on the weighted assessment score for each of the plurality of sub-regions.

Electronic device for performing video quality assessment, and operation method of the electronic device

An electronic apparatus is disclosed. The electronic apparatus includes projection circuitry, a communication interface, and at least one processor connected with the projection circuitry and the communication interface and configure to control the electronic apparatus, and the processor is configured to control the projection circuitry to project an image towards a projection region, receive first motion information from each of a first portable device, a second portable device, and a wearable device through a communication interface after a first portable device, a second portable device, and a wearable device worn by a user are arranged to correspond to the image, identify orientations of each of the first portable device, the second portable device, and the wearable device based on the first motion information, and identify a location of the user based on identified orientations.

Electronic apparatus for identifying a control signal based on motion information and control method thereof

A method of an electronic apparatus for audio signal processing includes obtaining a parameter related to spatialization of an audio object, obtaining rendering information based on the parameter related to spatialization, and rendering the audio object based on the rendering information. The parameter related to spatialization includes at least one of an object parameter of a feature of at least one of the audio object or a video object associated with the audio object, an electronic apparatus parameter of a feature of the electronic apparatus, or a user parameter of a feature of a user.

Electronic apparatus for audio signal processing and operating method thereof

A server is provided. The server includes a communication interface and a processor. The processor renders a virtual world image including an avatar corresponding to a user; transmits the virtual world image to a user terminal device through the communication interface; based on receiving, from the user terminal device through the communication interface, a first user command to add a virtual display device to the virtual world image, renders the virtual world image on which content displayed on a display device corresponding to the virtual display device is displayed through the virtual display device.

Server for rendering a virtual world image and control method thereof

An electronic device is provided. The electronic device includes at least one processor, and at least one memory configured to store instructions executable by the at least one processor, wherein when the instructions are executed by the at least one processor, the at least one processor is configured to perform sensing an occurrence of a trigger event, based on an input to the electronic device and an input to at least one Internet of Things (IoT) device connected to the electronic device, collecting weather information in response to the occurrence of the trigger event, estimating an emotion of a user, based on at least one of context information stored for the user and the weather information, receiving, from the user, an audiovisual impairment state of the user or estimating the audiovisual impairment state based on the context information, determining audiovisual content for a disabled to output, based on at least one of the estimated emotion and the audiovisual impairment state, among the at least one IoT device, determining a target IoT device to output the determined audiovisual content for the disabled, and outputting the determined audiovisual content for the disabled through the target IoT device.

Device and method of providing audiovisual content for the disabled

Provided is a video quality assessing method and an apparatus thereof. The video quality assessing method includes obtaining a model-based quality score for each of a plurality of sub-areas included in a frame by using a neural network, the neural network being trained based on a mean opinion score (MOS) obtained by using an assessor display apparatus, obtaining a weight matrix from at least one of rendering information or screen information about a screen included in a user display apparatus; applying the weight matrix to the model-based quality score for each sub-area of the plurality of sub-areas, and obtaining a quality score of the frame, based on the model-based quality score for each sub-area to which the weight matrix is applied.

Video quality assessing method and apparatus

An operating method of a computing apparatus is provided. The operating method of the computing apparatus includes obtaining a reference image; obtaining a distorted image generated from a reference image; obtaining an objective quality assessment score of a distorted image that is indicative of a quality of a distorted image as assessed by an algorithm, by using a reference image and a distorted image; obtaining a subjective quality assessment score corresponding to a objective quality assessment score; and training a neural network, by using a distorted image and a subjective quality assessment score as a training data set.

Video quality assessment method and apparatus

Provided is a display device including a display configured to display first content; a memory storing instructions; and a processor configured to execute the instructions to: obtain first content information by analyzing the first content, obtain user tracking information by tracking a user viewing the first content displayed by the display, determine whether a trigger condition is satisfied, based on at least one of the first content information or the user tracking information, and based on the trigger condition being satisfied, control a communication unit to transmit second content to a projector connected to the display device, wherein the second content is generated based on the first content.

Display device and operating method thereof

A video quality assessment apparatus and method are provided. The video quality assessment apparatus includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: identify whether a frame included in a video is a fully-blurred frame or a partially-blurred frame based on a blur level of the frame, obtain, in response to the frame being the fully-blurred frame, an analysis-based quality score with respect to the fully-blurred frame; obtain, in response to the frame being the partially-blurred frame, a model-based quality score with respect to the partially-blurred frame; and process the video based on at least one of the analysis-based quality score or the model-based quality score to obtain a processed video.

An electronic apparatus, including a memory configured to store a first artificial intelligence model; and a processor connected to the memory and configured to: based on receiving an input audio signal, obtain an input frequency spectrum image representing a frequency spectrum of the input audio signal, input the input frequency spectrum image to the first artificial intelligence model, obtain an output frequency spectrum image from the first artificial intelligence model, obtain an output audio signal based on the output frequency spectrum image, wherein the first artificial intelligence model is trained based on a target learning image, and wherein the target learning image represents a target frequency spectrum of a specific style, and is obtained from a second artificial intelligence model based on a random value.

Electronic apparatus and control method thereof

An image display apparatus includes a display; a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction stored in the memory to: estimate a blur level of each sub-area of a plurality of sub-areas included in a first image; and improve a resolution of at least one sub-area of the plurality of sub-areas, based on an estimated blur level of the at least one sub-area. The display is configured to output a second image including the at least one sub-area having the improved resolution.

Image display apparatus and image displaying method

A display apparatus for generating multimedia content and an operation method thereof are provided. The display apparatus includes a display, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory. The processor is configured to obtain plot information of the multimedia content, and generate sequence information including one or more sequences of the multimedia content corresponding to the plot information by using a first artificial intelligence (AI) model, generate scene information based on the sequence information by using a second AI model, generate the multimedia content based on the scene information, and control the display to output the multimedia content.

Display device for generating multimedia content, and operation method of the display device

A method of selecting an artificial intelligence (AI) model based on input data to select an AI model capable of correctly obtaining a result corresponding to data to be classified, e.g., a classification result indicating one of at least one class, from among a plurality of AI models, and a display device for performing the method.

Selecting artificial intelligence model based on input data

Provided are a computing apparatus for constructing a mosaic image and an operation method of the same. The computing apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: segment an input image into a plurality of sub areas to obtain a plurality of sub area images, extract a feature from each of the plurality of sub area images, generate a plurality of source images respectively corresponding to the plurality of sub areas using an image generation neural network, the image generation neural network using, as a condition, the feature extracted from each of the plurality of sub area images, and combine the plurality of source images respectively corresponding to the plurality of sub areas to generate a mosaic image.

Computing apparatus and operation method of the same

An electronic apparatus including a processor configured to analyze at least one of an input image or an captured image and obtain a recommended color distribution including at least one color based on the at least one of the input image or the captured image, the captured image being obtained by capturing an image of an environment; display the input image on a display, obtain a hand image by capturing an image of a hand of a user and generate a magic hand by mapping a color to the obtained hand image based on the recommended color distribution, and detect a gesture of the hand of the user and control colors of the input image displayed on the display based on the detected hand gesture and a color mapping of the magic hand.

Gesture-controlled electronic apparatus and operating method thereof

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Suwon-si, South Korea

Anant Baijal