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 mosaic generation apparatus includes: a display outputting an image, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to: extract a first feature value from one of a plurality of sub-base areas included in a base image, extract a second feature value from one source image selected from among a plurality of source images, and generate a sub-mosaic corresponding to the one sub-base area using the first feature value and the second feature value.

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: 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: 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: 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: The present disclosure relates to an audio system and a method of controlling the same. An aspect of the present disclosure is to provide an optimal listening state according to a user setting volume and hardware characteristics of an audio system. The audio system includes a signal inputter configured to receive an input audio signal; a signal processor configure to variably apply a dynamic range for each area of the input audio signal, to apply a scaling of a size corresponding to an inverse number of a boosting gain determined by a user setting volume for the input audio signal, to perform a tone mapping of the input audio signal by applying the boosting gain, to perform signal compensation for the input audio signal by the inverse number of the scaling, and to apply a master volume according to the user setting volume; a storage configured to store parameters used in signal processing of the signal processor; and a signal outputter configured to output the audio signal processed by the signal processor.

Abstract: A 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 to: select an image to be displayed on the display, classify a category of the image, obtain semantic information of the image according to the category of the image, by using at least one neural network, obtain emotion information corresponding to the image by analyzing the image; determine an audio to be output together with the image, based on the semantic information of the image and the emotion information corresponding to the image, and output the audio while displaying the image.

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: An audio contents recognition method includes receiving an audio signal; obtaining audio fingerprints (AFPs) based on a spectral shape of the received audio signal; generating hash codes for the obtained audio fingerprints; transmitting a matching query between the generated hash codes and hash codes stored in a database; and receiving a contents recognition result of the audio signal in response to the transmitting, wherein the generating of the hash codes includes: determining a frame interval delta_F of an audio fingerprint to generate the hash codes among the obtained audio fingerprints.

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 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: 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: A mosaic generation apparatus includes: a display outputting an image, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to: extract a first feature value from one of a plurality of sub-base areas included in a base image, extract a second feature value from one source image selected from among a plurality of source images, and generate a sub-mosaic corresponding to the one sub-base area using the first feature value and the second feature value.

Abstract: The present disclosure relates to an audio system and a method of controlling the same. An aspect of the present disclosure is to provide an optimal listening state according to a user setting volume and hardware characteristics of an audio system. The audio system includes a signal inputter configured to receive an input audio signal; a signal processor configure to variably apply a dynamic range for each area of the input audio signal, to apply a scaling of a size corresponding to an inverse number of a boosting gain determined by a user setting volume for the input audio signal, to perform a tone mapping of the input audio signal by applying the boosting gain, to perform signal compensation for the input audio signal by the inverse number of the scaling, and to apply a master volume according to the user setting volume; a storage configured to store parameters used in signal processing of the signal processor; and a signal outputter configured to output the audio signal processed by the signal processor.

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: A sound output apparatus is provided. The sound output apparatus according to an embodiment includes an inputter, an outputter, a storage configured to store mapping information between a volume level and a dynamic range of the sound output apparatus and a processor configured to obtain a dynamic range corresponding to a volume level currently set to the sound output apparatus based on the mapping information, process a sound signal input through the inputter based on the dynamic range and output the processed sound signal through the outputter.

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: A 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 to: select an image to be displayed on the display, classify a category of the image, obtain semantic information of the image according to the category of the image, by using at least one neural network, obtain emotion information corresponding to the image by analyzing the image; determine an audio to be output together with the image, based on the semantic information of the image and the emotion information corresponding to the image, and output the audio while displaying the image.

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.