Abstract: A method and apparatus for intra predicting a video. The method includes: determining availability of a predetermined number of adjacent pixels used for intra prediction of a current block; if a first adjacent pixel is unavailable, searching for a second adjacent pixel that is available by searching the predetermined number of adjacent pixels in a predetermined direction based on the first adjacent pixel; and replacing a pixel value of the first adjacent pixel with a pixel value of a found second adjacent pixel. At least one third adjacent pixel in another location, which is not available and excludes the first adjacent pixel at a predetermined location, is to sequentially replaced by using a directly adjacent pixel in a predetermined direction.

Abstract: An electronic device is disclosed. The electronic device of the disclosure comprises: a memory in which a learned artificial intelligence model is stored; and a processor for inputting an input image to the artificial intelligence model and outputting an enlarged image with increased resolution, wherein the learned artificial intelligence model includes an upscaling module for acquiring the pixel values of interpolated pixels around a cell according to a function having a nonlinearly decreasing symmetric form with reference to an original pixel in the enlarged image, the original pixel corresponding to a pixel of the input image.

Abstract: The present disclosure relates to an artificial intelligence (AI) system utilizing a machine learning algorithm, including deep learning and the like, and application thereof. In particular, an electronic device of the present disclosure comprises: a memory including at least one command; and a processor connected to the memory so as to control the electronic device, wherein, by executing the at least one command, the processor acquires an image, acquires a noise correction map for correction of noise of the image on the basis of configuration information of a camera having captured the image or brightness information of the image, and eliminates the noise of the image through the noise correction map. In particular, at least a part of an image processing method may use an artificial intelligence model having been acquired through learning according to at least one of a machine learning algorithm, a neural network algorithm, and a deep learning algorithm.

Abstract: An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.

Abstract: Syringe positioning apparatus and methods are disclosed that provide for automated positioning of a syringe at an axially aligned position on a predetermined axis. The apparatus and methods employ first and second members having opposing surfaces that include first and second ramps, respectively, wherein the first ramp angles upward and away from the second member, and the second ramp angles upward and away from the first member. At least one of the first and second members may be advanceable toward the other by an actuator, wherein the first and second ramps may slidably engage a syringe and thereby elevate the syringe to the axially aligned position on the predetermined axis.

Abstract: A method of performing, by an electronic device, a convolution operation at a certain layer in a neural network includes: obtaining N pieces of input channel data; performing a first convolution operation by applying a first input channel data group including K pieces of first input channel data from among the N pieces of input channel data to a first kernel filter group including K first kernel filters; performing a second convolution operation by applying a second input channel data group including K pieces of second input channel data from among the N pieces of input channel data to a second kernel filter group including K second kernel filters; and obtaining output channel data based on the first convolution operation and the second convolution operation, wherein K is a natural number that is less than N.

Abstract: A surgical microscope system for use in a medical procedure. The surgical microscope system is controlled in a first mode of operation corresponding to a phase of the medical procedure and defining at least one setting for adjusting a set of adjustable optics. While in the first mode of operation, the surgical microscope system automatically determines, from a captured image, an indication that a second mode of operation is relevant. The mode of operation is switched to the second mode of operation.

Abstract: Embodiments of the invention are directed to a system for managing financial tokens associated with a financial account, whereby the system is directed towards generating and authenticating tokens associated with the financial account in order to grant access to a user to conduct financial transactions on the financial account using an Automated Teller Machine (ATM). The system is configured to generate a server token that is associated with at least one financial account; communicate, to a first mobile device, a server packet comprising at least the server token; receive, from an ATM, a security packet comprising at least a device token; authenticate the device token, the authentication comprising comparing the device token with the server token, thereby resulting in a successful authentication of the device token; and communicate the successful authentication to the ATM.

Abstract: A surgical microscope system for use in a medical procedure. The surgical microscope system is controlled in a first mode of operation corresponding to a phase of the medical procedure and defining at least one setting for adjusting a set of adjustable optics. While in the first mode of operation, the surgical microscope system automatically determines, from a captured image, an indication that a second mode of operation is relevant. The mode of operation is switched to the second mode of operation.

Abstract: A method and apparatus for encoding and decoding a motion vector of a current block. The method of encoding including: generating information about the motion vector based on a motion vector of a current block and a motion vector predictor of the current block by estimating the motion vector and determining a first motion vector predictor candidate from among a plurality of motion vector predictor candidates as the motion vector predictor based on a result of the estimating; and generating a virtual motion vector by using a second motion vector predictor candidate and the information about the motion vector, generating vector differences between the virtual motion vector and the plurality of motion vector predictor candidates, comparing the vector differences with the information about the motion vector, and selectively excluding the second motion vector predictor candidate according to the comparing.

Abstract: Provided are methods and apparatus for encoding and decoding motion information. The method of encoding motion information includes: obtaining a motion information candidate by using motion information of prediction units that are temporally or spatially related to a current prediction unit; adding, when the number of motion information included in the motion information candidate is smaller than a predetermined number n, alternative motion information to the motion information candidate so that the number of motion information included in the motion information candidate reaches the predetermined number n; determining motion information with respect to the current prediction unit from among the n motion information candidates; and encoding index information indicating the determined motion information as motion information of the current prediction unit.

Abstract: Disclosed are a coded video data processing method and apparatus which consider a random access, and a coded video data generating method and apparatus which consider a random access. The coded video data processing method includes obtaining a bitstream of coded video data, obtaining metadata information used for video-processing of pictures having a decoding order after a random access point picture in the bitstream, and performing video-processing on decoded video data among the pictures having the decoding order after the random access point picture, based on the metadata information.

Abstract: Provided are methods and apparatus for encoding and decoding motion information. The method of encoding motion information includes: obtaining a motion information candidate by using motion information of prediction units that are temporally or spatially related to a current prediction unit; adding, when the number of motion information included in the motion information candidate is smaller than a predetermined number n, alternative motion information to the motion information candidate so that the number of motion information included in the motion information candidate reaches the predetermined number n; determining motion information with respect to the current prediction unit from among the n motion information candidates; and encoding index information indicating the determined motion information as motion information of the current prediction unit.

Abstract: A method and apparatus for intra predicting a video. The method includes: determining availability of a predetermined number of adjacent pixels used for intra prediction of a current block; if a first adjacent pixel is unavailable, searching for a second adjacent pixel that is available by searching the predetermined number of adjacent pixels in a predetermined direction based on the first adjacent pixel; and replacing a pixel value of the first adjacent pixel with a pixel value of a found second adjacent pixel. At least one third adjacent pixel in another location, which is not available and excludes the first adjacent pixel at a predetermined location, is to sequentially replaced by using a directly adjacent pixel in a predetermined direction.

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 method and apparatus for encoding and decoding a motion vector of a current block. The method of encoding including: generating information about the motion vector based on a motion vector of a current block and a motion vector predictor of the current block by estimating the motion vector and determining a first motion vector predictor candidate from among a plurality of motion vector predictor candidates as the motion vector predictor based on a result of the estimating; and generating a virtual motion vector by using a second motion vector predictor candidate and the information about the motion vector, generating vector differences between the virtual motion vector and the plurality of motion vector predictor candidates, comparing the vector differences with the information about the motion vector, and selectively excluding the second motion vector predictor candidate according to the comparing.

Abstract: Disclosed are a coded video data processing method and apparatus which consider a random access, and a coded video data generating method and apparatus which consider a random access. The coded video data processing method includes obtaining a bitstream of coded video data, obtaining metadata information used for video-processing of pictures having a decoding order after a random access point picture in the bitstream, and performing video-processing on decoded video data among the pictures having the decoding order after the random access point picture, based on the metadata information.

Abstract: A method and apparatus for intra predicting a video. The method includes: determining availability of a predetermined number of adjacent pixels used for intra prediction of a current block; if a first adjacent pixel is unavailable, searching for a second adjacent pixel that is available by searching the predetermined number of adjacent pixels in a predetermined direction based on the first adjacent pixel; and replacing a pixel value of the first adjacent pixel with a pixel value of a found second adjacent pixel. At least one third adjacent pixel in another location, which is not available and excludes the first adjacent pixel at a predetermined location, is to sequentially replaced by using a directly adjacent pixel in a predetermined direction.

Abstract: Provided are a method and apparatus for intra predicting an image, which generate a prediction value via linear interpolation in horizontal and vertical directions of a current prediction unit. The method includes: generating first and second virtual pixels by using at least one adjacent pixel located upper right and lower left to a current prediction unit; obtaining a first prediction value of a current pixel via linear interpolation using an adjacent left pixel located on the same line as the first virtual pixel and the current pixel; obtaining a second prediction value of the current pixel via linear interpolation using an adjacent upper pixel located on the same column as the second virtual pixel and the current pixel; and obtaining a prediction value of the current pixel by using the first and second prediction values.

Abstract: A method and apparatus for encoding and decoding a motion vector of a current block. The method of encoding including: generating information about the motion vector based on a motion vector of a current block and a motion vector predictor of the current block by estimating the motion vector and determining a first motion vector predictor candidate from among a plurality of motion vector predictor candidates as the motion vector predictor based on a result of the estimating; and generating a virtual motion vector by using a second motion vector predictor candidate and the information about the motion vector, generating vector differences between the virtual motion vector and the plurality of motion vector predictor candidates, comparing the vector differences with the information about the motion vector, and selectively excluding the second motion vector predictor candidate according to the comparing.