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: 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: 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: 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.

Abstract: An electronic device is provided.

Abstract: 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.

Abstract: 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.

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: Method and apparatus for obtaining audio corresponding to a plurality of images, based on semantic information and the emotion information of the plurality of images.

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: Disclosed herein is an image processing apparatus and a control method thereof. The image processing apparatus includes communication circuitry, a storage, and a controller configured to control the image processing apparatus to: perform object recognition for recognizing a plurality of objects in first image data stored in the storage, obtain a score inferred through operation processing through a neural network for the recognized plurality of objects, generate second image data based on the obtained score and proximity of the plurality of objects, and perform image processing based on the second image data.

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: An electronic apparatus including a display is disclosed. The electronic apparatus, based on text information including a plurality of words being input via an input unit, obtain an input claim based on the text information, determine novelty of the input claim by inputting the input claim to a first neural network model, and based on the input claim being novel, determine inventiveness of the input claim by inputting the input claim to a second neural network model.

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.