Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A display device includes a display, memory storing instructions; and at least one processor to control the display. The display device displays a virtual world image including a virtual display device.

Abstract: 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.

Abstract: An electronic device includes a memory configured to store a trained neural network model and a processor configured to, by inputting an input image to the trained neural network model, obtain a quality score of the input image, a pixel quality score for each pixel included in the input image and a Region of Interest (ROI) score for the each pixel. The trained neural network obtains feature information for each pixel in the input image, a quality score of each pixel, and an ROI score for the each pixel. A computation module obtains an image quality score for the input image based on pixel quality score and the ROI score for the each pixel.

Abstract: 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.

Abstract: An electronic device according to various embodiments comprises: an ear tip detachable from the electronic device; a microphone; a speaker; a sensor module comprising at least one sensor configured to sense information of the electronic device; memory storing a leaking sound profile representing the relationship between the magnitude of a signal leaking out of an object on which the electronic device is mounted among signals being output from the electronic device, and the frequency of the signals being output; and at least one processor, comprising processing circuitry, operatively connected with the microphone, the speaker, and the memory.

Abstract: An electronic device is provided.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method performed by at least one processor for improving video quality, includes: obtaining, from a first frame of a video comprising a plurality of pixels, first motion information regarding a user control object displayed in a display interface, the user control object comprising a first set of pixels included in the plurality of pixels; obtaining, from the first frame of the video by using a first neural network, second motion information from a second set of pixels included in the plurality of pixels, the second set of pixels excluding the first set of pixels; and generating, by using a second neural network with the first motion information and the second motion information as inputs for the second neural network, an interpolation frame between the first frame and a second frame included in the video.

Abstract: 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.