Abstract: A method and apparatus for encoding/decoding images according to the present invention may configure a prediction mode candidate group on a screen of a target block, determine a reference pixel for a prediction mode on the screen of the target block, perform at least one of filtering and interpolation on the reference pixel, and perform prediction on the screen of the target block on the basis of the prediction mode candidate group on the screen and the reference pixel.

Abstract: A method and apparatus for performing maximum transform size control for decoding of a video sequence includes identifying, by a decoder, a high-level syntax element associated with the video sequence. A maximum transform size associated with the video sequence is determined based on identifying the high-level syntax element associated with the video sequence. The video sequence is decoded using the maximum transform size based on determining the maximum transform size associated with the video sequence. The video sequence is transmitted based on decoding the video sequence using the maximum transform size.

Abstract: A Light Detection And Ranging (LIDAR) detector circuit includes a plurality of detector pixels, where each or a respective detector pixel of the detector pixels includes a plurality of detector elements. At least one control circuit is configured to provide one or more detector control signals that selectively activate one or more of the detector elements of the respective detector pixel to define a first active detection area including a first subset of the detector elements for a first image acquisition, and a second active detection area including a second subset of the detector elements for a second image acquisition. Related devices and methods of operation are also discussed.

Abstract: An image decoding method and apparatus according to an embodiment may extract, from a bitstream, a quantization coefficient generated through core transformation, secondary transformation, and quantization; generate an inverse-quantization coefficient by performing inverse quantization on the quantization coefficient; generate a secondary inverse-transformation coefficient by performing secondary inverse-transformation on a low frequency component of the inverse-quantization coefficient, the secondary inverse-transformation corresponding to the secondary transformation; and perform core inverse-transformation on the secondary inverse-transformation coefficient, the core inverse-transformation corresponding to the core transformation.

Abstract: There is provided an image decoding method comprising: deriving a first prediction value of a current block by using at least one sample included in a reference block, obtaining an illumination compensation parameter on the basis of a predetermined reference region, deriving a second prediction value of the current block by applying the illumination compensation parameter to the first prediction value and reconstructing the current block on the basis of the second prediction value.

Abstract: Systems, methods, and instrumentalities are provided to implement video coding system (VCS). The VCS may be configured to receive a video signal, which may include one or more layers (e.g., a base layer (BL) and/or one or more enhancement layers (ELs)). The VCS may be configured to process a BL picture into an inter-layer reference (ILR) picture, e.g., using picture level inter-layer prediction process. The VCS may be configured to select one or both of the processed ILR picture or an enhancement layer (EL) reference picture. The selected reference picture(s) may comprise one of the EL reference picture, or the ILR picture. The VCS may be configured to predict a current EL picture using one or more of the selected ILR picture or the EL reference picture. The VCS may be configured to store the processed ILR picture in an EL decoded picture buffer (DPB).

Abstract: An intra prediction method and a device using the intra prediction method are provided. The intra prediction method using a DC mode includes setting a bottom-right pixel to a DC-predicted value, interpolating the bottom-right pixel and an n-th top reference pixel to derive predicted values of an n-th column and interpolating the bottom-right pixel and an n-th left reference pixel to derive predicted values of an n-row, and performing bidirectional linear interpolation to derive predicted values of pixels included in a prediction unit other than the n-th row and the n-th column.

Abstract: Embodiments of the disclosure provide a receiver in an optical sensing system. The exemplary receiver includes a movable detector configured to receive optical signals reflected or scattered from an object scanned by the optical sensing system. The receiver further includes an actuator configured to move the movable detector. The receiver also includes a controller configured to determine a plurality of target positions of the movable detector for receiving the optical signals. The controller is further configured to control the actuator to move the movable detector to the plurality target positions according to a movement pattern.

Abstract: The invention relates to a processing centre (1) or cutting materials, consisting of a cutting machine (2a) and an adjusting device (5), wherein the adjusting device (5) has a positioning device (8), an illumination device (9, 9a) and an image sensor (11), wherein the positioning device (8) holds a tool unit (10) to be illuminated by the illumination device (9, 9a) in front of the image sensor (11) in such a way that the image sensor (11) is partially shaded by the tool unit (10), wherein the image sensor (11) has a greater maximum extension in at least one spatial coordinates direction than the tool unit (10) in the same spatial coordinates direction, and wherein the outline contour of the tool unit (10) is determined using the value for the extension of the shaded region.

Abstract: The present disclosure relates to a method for processing a video signal by using a linear relationship between transform types, comprising the steps of: determining a transform group on the basis of a prediction mode of a current block; parsing a transform combination index from a video signal, wherein the transform combination index indicates anyone of a plurality of transform combinations in the transform group; deriving a transform combination corresponding to the transform combination index, wherein the transform combination consists of a horizontal transform and a vertical transform, and includes DST-7 or DCT-8; performing inverse transform on the current block on the basis of the transform combination; and restoring the video signal by using the inverse transformed current block.

Abstract: Provided is a method and apparatus for performing intra-prediction using an adaptive filter. The method for performing intra-prediction includes the steps of: determining whether or not to apply a first filter for a reference pixel value on the basis of information of a neighboring block of a current block; applying the first filter for the reference pixel value when it is determined to apply the first filter; performing intra-prediction on the current block on the basis of the reference pixel value; determining whether or not to apply a second filter for a prediction value according to each prediction mode of the current block, which is predicted by the intra-prediction performance on the basis of the information of the neighboring block; and applying the second filter for the prediction value according to each prediction mode of the current block when it is determined to apply the second filter.

Abstract: Disclosed is an inter prediction method which includes deriving control points (CPs) for the current block, wherein the CPs include a first CP and a second CP, deriving a first motion vector predictor (MVP) for the first CP and a second MVP for the second CP based on neighboring blocks of the current block, decoding a first motion vector difference (MVD) for the first CP, decoding a difference of two MVDs (DMVD) for the second CP, deriving a first motion vector (MV) for the first CP based on the first MVP and the first MVD, deriving a second MV for the second CP based on the second MVP and the DMVD for the second CP, and generating a predicted block for the current block based on the first MV and the second MV.

Abstract: A method of visual media processing, including: determining, fora conversion between a current video block of a visual media data and a bitstream representation of the visual media data, that a partitioning mode coding tool is disabled for the conversion based on a rule that depends on a dimension of the current video block; and performing the conversion based on the determining.

Abstract: Innovations in use of chroma quantization parameter (“QP”) offsets when determining a control parameter for deblock filtering. For example, as part of encoding, an encoder sets a picture-level chroma QP offset and slice-level chroma QP offset for encoding of a slice of a picture. The encoder also performs deblock filtering of at least part of the slice, where derivation of a control parameter considers only the picture-level chroma QP offset. The encoder outputs at least part of a bitstream including the encoded content. As part of decoding, a corresponding decoder sets a picture-level chroma QP offset and a slice-level chroma QP offset for decoding of a slice of a picture, but derivation of a control parameter for deblock filtering considers only the picture-level chroma QP offset.

Abstract: An embodiment of the disclosure discloses an electronic device including at least one camera module to capture an image based on a specified angle of view, a display to display the image, a processor electrically connected with the camera module and the display. The processor detects a plurality of objects in the image, and performs setting of image data associated with at least one object of the plurality of objects such that a region, which corresponds to the at least one object, in a screen region of the display has a specified light transmittance value. Moreover, various embodiment found through the disclosure are possible.

Abstract: Disclosed is a method for the physical, in particular optical, detection of at least one usage object. The method includes the step of carrying out at least one physical detection process, for example by a user and/or an implementation device, in particular of at least one photograph, of the usage object, so that the usage object may be detected in such a way that an image of the usage object as detected during the detection process is shown at the same time as the database object shown on the screen in an identical manner or in a manner identical to scale, wherein as a result of the detection process, the usage object is associated with at least one usage object class, for example a vehicle type, by the processing unit and/or the CPU and/or the user.

Abstract: A method to derive candidate intra prediction modes, comprising: recording an intra prediction mode of at least one previous coding unit, wherein the previous coding unit is not adjacent to a to-be-processed coding unit; adding at least one recorded intra prediction mode into a set of candidate intra prediction modes, when the number of the candidate intra prediction modes is less than a preset threshold.

Abstract: Predicting a component of a current pixel belonging to a current sub-aperture image in a matrix of sub-aperture images captured by a sensor of a type I plenoptic camera can involve, first, determining a location on the sensor based on: a distance from an exit pupil of a main lens of the camera to a micro-lens array of the camera; a focal length of the main lens; a focal length of the micro-lenses of the micro-lens array; and a set of parameters of a model of the camera allowing for a derivation of a two-plane parameterization describing the field of rays corresponding to the pixels of the sensor; and, second, predicting the component based on one reference pixel belonging to a reference sub-aperture image in the matrix and located on the sensor in a neighborhood of the location.

Abstract: A block of video data that is split into sub-blocks forms a prediction for that sub-block using predictions from neighboring sub-blocks such that a current prediction for the sub-block is combined with weighted versions of the neighboring predictions. The neighboring sub-blocks motion vectors are checked to determine whether they are different than the motion vector of the sub-block being predicted. If so, than that corresponding neighboring sub-block is used to generate the prediction of the current sub-block. In an embodiment, two lines or two columns of pixels within a sub-block are used in forming the prediction for the current sub-block when the size of the block containing the sub-block is under a particular size.

Abstract: Systems, methods, and techniques to efficiently and effectively verifying and calibrating a machine learning model. The method can include training a machine learning model by at least processing training data with the machine learning model. The method can further include manipulating a first data set of the training data and applying the manipulated first data set to the machine learning model to thereby determine a first matching rate. In addition, the method can include applying the manipulated first data set to a rule engine to thereby determine a second matching rate and determining a difference between the first matching rate and the second matching rate. The method can further include determining whether the difference is within a predefined threshold range and providing an error indication if the determined difference is outside of the predefined threshold range.