Abstract: The present disclosure provides a reducer for an electric vehicle, the reducer including an input shaft connected to a motor, a differential disposed coaxially with the input shaft and relatively rotatable, a planetary gear train configured to decelerate power of the input shaft and transmit the power to a differential casing of the differential, and a drive shaft configured to penetrate the input shaft and coupled to one side gear of the differential.

Abstract: An image processing apparatus is disclosed. The present image processing apparatus includes an input unit to which an image is input; and a processor which extracts visual characteristics by reducing an input image and obtains a high-definition image by reflecting extracted visual characteristics on the input image. The disclosure relates to an artificial intelligence (AI) system and application thereof that simulate functions such as cognition and decision-making of a human brain using a machine learning algorithm such as deep learning.

Abstract: Provided is an electronic device including a communication unit configured to receive data from a server, a display unit configured to display a first video obtained by photographing a plurality of objects having cameras mounted thereon, or second videos obtained by the objects, an input unit configured to receive a user input, and a controller configured to display the first video on the display unit, receive a user input for selecting at least one of the plurality of objects included in the first video, through the input unit, and control the display unit to display a second video obtained by the selected object, on a part or entirety of the display unit based on the user input.

Abstract: Disclosed is an image processing apparatus. The present image processing apparatus comprises: an input unit for inputting an image; and a processor for shrinking the inputted image to a predetermined ratio, extracting a visual feature from the shrunken image, performing an image quality enhancement process reflecting the extracted visual feature in the inputted image, repeatedly performing, for a predetermined number of times, the shrinking, the extracting, and the image quality enhancement process on the image that has undergone the image quality enhancement process. The present disclosure relates to an artificial intelligence (AI) system and an application thereof that simulate the functions of a human brain, such as recognition, judgment, etc., by using a machine learning algorithm such as deep learning, etc.

Abstract: Provided is an electronic device including a communication unit configured to receive data from a server, a display unit configured to display a first video obtained by photographing a plurality of objects having cameras mounted thereon, or second videos obtained by the objects, an input unit configured to receive a user input, and a controller configured to display the first video on the display unit, receive a user input for selecting at least one of the plurality of objects included in the first video, through the input unit, and control the display unit to display a second video obtained by the selected object, on a part or entirety of the display unit based on the user input.

Abstract: A method of encoding a video includes: splitting a picture into a maximum coding unit; for the maximum coding unit, determining coding units having a tree structure including coding units of coded depths and determining encoding modes for the coding units of the coded depths by performing encoding based on coding units according to depths, the coding units according to depths obtained by hierarchically splitting the maximum coding unit as a depth deepens; and outputting information about a maximum coding unit size and, for the maximum coding unit, information indicating an order of split information and skip mode information which is selectively determined for the coding units according to depths, information about the encoding modes for the coding units of the coded depths including the split information and the skip mode information which are arranged according to the order, and encoded video data.

Abstract: An ultrasound medical imaging method includes: displaying an ultrasound image on a screen; determining a view plane, on which the displayed ultrasound image is captured, among view planes; and setting a region of interest corresponding to the determined view plane on the ultrasound image.

Abstract: An image processing apparatus is provided. The image processing apparatus includes a processor configured to, in response to an image including a plurality of frames being input, change a predetermined parameter to a parameter corresponding to a compression rate of each of the plurality of frames for each frame, and process the input image by using the parameter changed for each frame, and an output interface configured to output the processed image.

Abstract: An image processing apparatus is provided. The image processing apparatus according to an exemplary embodiment includes a communicator configured to receive an image, and a processor configured to generate a first image obtained by performing image processing on the received image by using a parameter for image processing, generate a second image obtained by reducing the first image at a predetermined ratio, and extract respective visual features from the first image and the second image, wherein the processor is further configured to adjust the parameter to allow a difference between the visual feature of the first image and the visual feature of the second image to be within a predetermined range.

Abstract: An electronic apparatus includes a memory configured to store a predetermined conversion relation, and a processor configured to obtain first luminance information indicating luminance values of respective pixels included in a first image, and obtain first color information indicating color values of the respective pixels, obtain a first cumulative distribution function indicating a relation between a cumulative pixel count and each luminance level based on the first luminance information, obtain a second cumulative distribution function by applying the predetermined conversion relation to the first cumulative distribution function, calculate second luminance information indicating converted luminance values of the respective pixels by using the first cumulative distribution function and the second cumulative distribution function, and generate a second image based on the first color information and the second luminance information.

Abstract: A video encoding method, a video encoding apparatus, a video decoding method, and a video decoding apparatus are provided. The video encoding method includes producing a fast transform matrix based on a transform matrix which is used for frequency transformation on a block which has a predetermined size; producing a transformed block by transforming the block having the predetermined size by using the fast transform matrix; and performing scaling with respect to the transformed block in order to correct a difference between the transform matrix used for the frequency transformation and the fast transform matrix.

Abstract: A method of encoding a video includes: splitting a picture into a maximum coding unit; for the maximum coding unit, determining coding units having a tree structure including coding units of coded depths and determining encoding modes for the coding units of the coded depths by performing encoding based on coding units according to depths, the coding units according to depths obtained by hierarchically splitting the maximum coding unit as a depth deepens; and outputting information about a maximum coding unit size and, for the maximum coding unit, information indicating an order of split information and skip mode information which is selectively determined for the coding units according to depths, information about the encoding modes for the coding units of the coded depths including the split information and the skip mode information which are arranged according to the order, and encoded video data.

Abstract: A method of encoding a video includes: splitting a picture into a maximum coding unit; for the maximum coding unit, determining coding units having a tree structure including coding units of coded depths and determining encoding modes for the coding units of the coded depths by performing encoding based on coding units according to depths, the coding units according to depths obtained by hierarchically splitting the maximum coding unit as a depth deepens; and outputting information about a maximum coding unit size and, for the maximum coding unit, information indicating an order of split information and skip mode information which is selectively determined for the coding units according to depths, information about the encoding modes for the coding units of the coded depths including the split information and the skip mode information which are arranged according to the order, and encoded video data.

Abstract: Disclosed is an image processing apparatus. The present image processing apparatus comprises: an input unit for inputting an image; and a processor for shrinking the inputted image to a predetermined ratio, extracting a visual feature from the shrunken image, performing an image quality enhancement process reflecting the extracted visual feature in the inputted image, repeatedly performing, for a predetermined number of times, the shrinking, the extracting, and the image quality enhancement process on the image that has undergone the image quality enhancement process. The present disclosure relates to an artificial intelligence (AI) system and an application thereof that simulate the functions of a human brain, such as recognition, judgment, etc., by using a machine learning algorithm such as deep learning, etc.

Abstract: A video decoding method and apparatus and a video encoding method and apparatus based on a scanning order of hierarchical data units are provided. The decoding method includes: receiving and parsing a bitstream of an encoded video; extracting from the bitstream information about a size of a maximum coding unit for decoding a picture of the encoded video, and encoding information about a coded depth and an encoding mode for coding units of the picture, wherein the size of the maximum coding unit is a maximum size of a coding unit which is a data unit for decoding the picture; and determining a hierarchical structure of the maximum coding unit and the coding units into which the picture is divided according to depths, and decoding the picture based on the coding units, by using the information about the size of the maximum coding unit and the encoding information about the coded depth and the encoded mode.

Abstract: A video encoding method, a video encoding apparatus, a video decoding method, and a video decoding apparatus are provided. The video encoding method includes producing a fast transform matrix based on a transform matrix which is used for frequency transformation on a block which has a predetermined size; producing a transformed block by transforming the block having the predetermined size by using the fast transform matrix; and performing scaling with respect to the transformed block in order to correct a difference between the transform matrix used for the frequency transformation and the fast transform matrix.

Abstract: A video encoding method, a video encoding apparatus, a video decoding method, and a video decoding apparatus are provided. The video encoding method includes producing a fast transform matrix based on a transform matrix which is used for frequency transformation on a block which has a predetermined size; producing a transformed block by transforming the block having the predetermined size by using the fast transform matrix; and performing scaling with respect to the transformed block in order to correct a difference between the transform matrix used for the frequency transformation and the fast transform matrix.

Abstract: An apparatus for decoding a video by parsing asymmetric partition information indicating whether partition types include asymmetric partition types, from a bitstream of an encoded image, determining at least one coding unit included in a maximum coding unit by using split information parsed from the received bitstream, determining at least one prediction unit of a coding unit among the at least one coding unit, by using the asymmetric partition information and information about a partition type of the coding unit parsed from the received bitstream, and performing motion compensation using the prediction units for the coding unit.

Abstract: Provided is a medical image processing apparatus including: a data acquisition unit configured to respectively acquire a plurality of medical images representing an object including at least one target at a plurality of different time points; and an image processor configured to generate, based on the acquired plurality of medical images, a diagnostic image showing a degree of change that has occurred in the at least one target over the plurality of different time points.

Abstract: A method and apparatus for decoding a video and a method and apparatus for encoding a video are provided. The method for decoding the video includes: receiving and parsing a bitstream of an encoded video; extracting, from the bitstream, encoded image data of a current picture of the encoded video assigned to a maximum coding unit, and information about a coded depth and an encoding mode according to the maximum coding unit; and decoding the encoded image data for the maximum coding unit based on the information about the coded depth and the encoding mode for the maximum coding unit, in consideration of a raster scanning order for the maximum coding unit and a zigzag scanning order for coding units of the maximum coding unit according to depths.