Abstract: Disclosed herein is a method for decoding a video including determining a coding unit to be decoded by block partitioning, decoding prediction syntaxes for the coding unit, the prediction syntaxes including a skip flag indicating whether the coding unit is encoded in a skip mode, after the decoding of the prediction syntaxes, decoding transform syntaxes including a transformation/quantization skip flag and a coding unit cbf, wherein the transformation/quantization skip flag indicates whether inverse transformation, inverse quantization, and at least part of in-loop filterings are skipped, and the coding unit cbf indicates whether all coefficients in a luma block and two chroma blocks constituting the coding unit are zero, and reconstructing the coding unit based on the prediction syntaxes and the transform syntaxes.

Abstract: Disclosed are an inter-prediction method and an video decoding device. One embodiment of the present invention provides an inter-prediction method executed in an video decoding device, including deriving a motion vector of a current block based on motion information decoded from a bitstream; acquiring reference samples of a first reference block by using the motion vector, wherein reference samples of an external region located outside a reference picture among the first reference block are acquired from a corresponding region corresponding to the external region within the reference picture; and predicting the current block based on the acquired reference samples.

Abstract: A method of inter-predicting a current block using any one of a plurality of bi-prediction modes is disclosed. The method comprises decoding, from a bitstream, mode information indicating whether a first mode included in the plurality of bi-prediction modes is applied to the current block. When the mode information indicates that the first mode is applied to the current block, the method further comprises: decoding, from the bitstream, first motion information including differential motion vector information and predicted motion vector information for a first motion vector and second motion information not including at least a portion of predicted motion vector information and differential motion vector information for a second motion vector; and deriving the first motion vector based on the first motion information and deriving the second motion vector based on both at least a portion of the first motion information and the second motion information.

Abstract: Disclosed herein is a method for decoding a video including determining a coding unit to be decoded by block partitioning, decoding prediction syntaxes for the coding unit, the prediction syntaxes including a skip flag indicating whether the coding unit is encoded in a skip mode, after the decoding of the prediction syntaxes, decoding transform syntaxes including a transformation/quantization skip flag and a coding unit cbf, wherein the transformation/quantization skip flag indicates whether inverse transformation, inverse quantization, and at least part of in-loop filterings are skipped, and the coding unit cbf indicates whether all coefficients in a luma block and two chroma blocks constituting the coding unit are zero, and reconstructing the coding unit based on the prediction syntaxes and the transform syntaxes.

Abstract: A method is disclosed for reconstructing a current block in units of sub-blocks included in the current block. The method includes: decoding transform coefficients in a transform block of the current block, sub-block information indicating a division form of the sub-blocks and transform type information indicating a transform type applied to the transform block from a bitstream; deriving a residual block of the current block from the transform coefficients on the basis of the transform type indicated by the transform type information and the sub-block information; and filtering boundaries of the sub-blocks in a reconstructed block of the current block derived on the basis of the residual block.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: A filtering method and a video decoding apparatus are disclosed. The present invention provides a filtering method comprising: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on a type of the block boundary and preset conditions; and performing the filtering based on the set boundary strength.

Abstract: Disclosed are an inter-prediction method and an image decoding apparatus using the same. According to an embodiment of the present invention, there is provided an inter-prediction method including extracting a merge candidate flag and offset information from a bitstream, selecting a merge candidate corresponding to the extracted merge candidate flag from a merge candidate list including neighboring blocks of a current block as merge candidates, deciding a motion vector of the current block by applying the offset information to a motion vector of the selected merge candidate, and generating, as a prediction block of the current block, a block indicated by the motion vector of the current block in a reference picture referenced by the selected merge candidate.

Abstract: Disclosed are an inter-prediction method and an video decoding device. One embodiment of the present invention provides an inter-prediction method executed in an video decoding device, including deriving a motion vector of a current block based on motion information decoded from a bitstream; acquiring reference samples of a first reference block by using the motion vector, wherein reference samples of an external region located outside a reference picture among the first reference block are acquired from a corresponding region corresponding to the external region within the reference picture; and predicting the current block based on the acquired reference samples.

Abstract: Disclosed is video encoding/decoding method and apparatus using a correlation of YCbCr. According to an aspect of the present disclosure, the video decoding method for predictively decoding a target block includes, receiving a bitstream and generating a residual block for a chroma block, generating reconstructed information in a luma block corresponding to the chroma block and reconstructed neighboring information about the luma block, generating reconstructed neighboring information about the chroma block, determining a scaling value and an offset value based on the reconstructed neighboring information about the chroma block and the reconstructed neighboring information about the luma block, generating a prediction block for the chroma block by applying the determined scaling value and offset value to the reconstructed information in the luma block, and generating a reconstructed block for the chroma block based on the residual block for the chroma block and the prediction block for the chroma block.

Abstract: Disclosed is a method and apparatus for encoding/decoding a video. According to an embodiment, provided is a method of setting a level for each of one or more regions, including decoding a definition syntax element related to level definition and a designation syntax element related to target designation from a bitstream; defining one or more levels based on the definition syntax element; and setting a target level designated by the designation syntax element among the defined levels for a target region designated by the designation syntax element.

Abstract: Disclosed herein is a method for decoding a video including determining a coding unit to be decoded by block partitioning, decoding prediction syntaxes for the coding unit, the prediction syntaxes including a skip flag indicating whether the coding unit is encoded in a skip mode, after the decoding of the prediction syntaxes, decoding transform syntaxes including a transformation/quantization skip flag and a coding unit cbf, wherein the transformation/quantization skip flag indicates whether inverse transformation, inverse quantization, and at least part of in-loop filterings are skipped, and the coding unit cbf indicates whether all coefficients in a luma block and two chroma blocks constituting the coding unit are zero, and reconstructing the coding unit based on the prediction syntaxes and the transform syntaxes.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: An electronic device is provided. The electronic device includes a light emitting unit configured to alternately emit light having a preset pattern to an eye area of a user; an inputter configured to receive a plurality of images which capture an eye area of the user; and a processor configured to detect a user's gaze using a first image that is captured at the time of irradiating a preset first pattern and a second image that is captured at the time of irradiating a preset second pattern, and the processor detects a user's gaze by extracting reflection points of each of the first image and the second image and using remaining reflection points excluding reflection points at a same position from among the extracted reflection points.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: A transparent display apparatus is provided. The transparent display apparatus includes a transparent display configured so that a background of the transparent display apparatus is projected thereto and configured to display an image; a camera configured to capture an image of a background direction of the transparent display apparatus to obtain a background image; and a processor configured to analyze image information of a background region projected to the transparent display in the obtained background image for each pixel, correct an image to be displayed on the transparent display using the analyzed image information of the background region, and control the transparent display to display the corrected image.

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes an inputter configured to receive a binocular image which is a captured image of both eyes of a user and a stereo image which is an image of a direction corresponding to a gaze of the user captured at locations spaced apart from each other, and a processor configured to detect a watch point of a user in the stereo image by using the binocular image, obtain a disparity map in the input stereo image, and compensate the detected watch point using the obtained disparity map.

Abstract: An electronic apparatus mounted on a vehicle is provided. The electronic apparatus includes an output unit configured to output driving information on the vehicle, a sensor configured to sense a gaze of a user in the vehicle, and a processor configured to, in response to a position on a plane of the sensed gaze being included in a specific region, control the output unit to output the driving information.

Abstract: A display method of a transparent display apparatus is provided. The display method includes sensing illumination around the transparent display apparatus; determining threshold lightness using the sensed illumination; correcting image data by changing lightness and chroma of colors which are brighter than the determined threshold lightness by a first method and changing at least one of lightness and chroma of colors which are the determined threshold lightness or less by a second method; and displaying the corrected image data on the transparent display apparatus.