Abstract: A method comprising: receiving an image block unit of a frame, the image block unit comprising samples in color channels comprising at least one chrominance channel and one luminance channel (900); reconstructing samples of said luminance channel of the image block unit (902); determining a reference area for predicting samples of at least one color channel of the image block unit, wherein said reference area comprises one or more of reference samples in a neighboring block in current color channel/frame, in the neighboring of a co-located block in reference color channel/frame; and/or inside the co-located block in reference color channel/frame (904); determining filter coefficients of a filter for said predicting based on the reference samples and a shape of the filter (906); and predicting samples of at least one color channel of the image block unit by performing a convolution between the samples of said luminance channel and the filter coefficients (908).

Abstract: Some aspects of the disclosure provide a method of video decoding. The method includes: receiving a bitstream that comprises coded information of one or more pictures; generating, according to the bitstream, at least a to-be-filtered sample, and input samples for filtering the to-be-filtered sample in an in-loop filter, the in-loop filter using a Wiener-based filter with an adaptive filter shape; determining a modified filter shape for the Wiener-based filter, the modified filter shape being adapted according to a relationship between the to-be-filtered sample and the input samples; and applying the Wiener-based filter with the modified filter shape on the input samples to generate a filtered output of the to-be-filtered sample.

Abstract: One or more template predictions are generated for a template of a current block based on one or more prediction modes. The template includes neighboring samples of the current block. Each of the one or more template predictions is generated based on a respective one of the one or more prediction modes. One or more filters are derived for the current block. Each of the one or more filters is derived based on (i) filter index information or (ii) a respective one of the one or more template predictions and a template reconstruction of the template. One or more predictions of the current block are determined. Each of the one or more predictions is determined based on a respective one of the one or more prediction modes. A final prediction of the current block is determined by applying the one or more filters to the one or more predictions.

Abstract: A method for transmission of monochrome video data of a monochromatic image, wherein three different source monochromatic pixels are encoded by a transmitting device into one compressed three-color pixel; the compressed three-color pixel are transmitted by the transmitting device. The transmitted compressed three-color pixel are received at a receiving device; and the compressed three-color pixel decoding are decoded by the receiving device into three different sink monochromatic pixels. The transmitting device acquires the three different source monochromatic pixels, extracts a single-color value from each of the three different source monochromatic pixels, and generates the compressed three-color pixel using the single-color values extracted from the three different source monochromatic pixels.

Abstract: Aspects of the disclosure relate to dynamic driving metric output platforms that utilize improved computer vision methods to determine vehicle metrics from video footage. A computing platform may receive video footage from a vehicle camera. The computing platform may determine that a reference marker in the video footage has reached a beginning and an end of a road marker based on brightness transitions, and may insert time stamps into the video accordingly. Based on the time stamps, the computing platform may determine an amount of time during which the reference marker covered the road marking. Based on a known length of the road marking and the amount of time during which the reference marker covered the road marking, the computing platform may determine a vehicle speed. The computing platform may generate driving metric output information, based on the vehicle speed, which may be displayed by an accident analysis platform.

Abstract: A method includes determining a picture type of a current picture, determining, based on the picture type of the current picture, whether to write the current picture in a dedicated chip memory or whether to write the current picture a non-dedicated system memory, and writing the current picture in the dedicated chip memory or the non-dedicated system memory based on the determining of whether to write the current picture in the dedicated chip memory or whether to write the current picture in the non-dedicated system memory.

Abstract: A deblocking method for deblocking a boundary between a first block of samples, block P, and a second block of samples, block Q. The method includes determining whether at least one of the P block or the Q block is a combined intra-inter prediction block; and, as a result of determining that at least one of the P block or the Q block is a combined intra-inter prediction block, deblocking the boundary between the P block and the Q block.

Abstract: A video decoder is configured to determine a minimum sample value for one or more blocks of video data, the minimum sample value being greater than 0; determine a maximum sample value for the one or more blocks of video data, the maximum sample value being less than 2{circumflex over (?)}bd?1 and bd being a bit depth of samples in the one or more blocks; in response to determining that a process applied to a block of the one or more blocks of video data results in a sample value that is outside a range of the minimum sample value to the maximum sample value, clip the sample value to one of the minimum sample value or the maximum sample value to generate a clipped sample value; determine a decoded version of the block based on the clipped sample value.

Abstract: This disclosure relates to a time-of-flight sensor including, on a same base substrate, a light emitter configured to emit light into an image scene, a reference sensor configured to detect light emitted by the light emitter, and a signal reception sensor array separated from the light emitter by an optical barrier. The optical barrier is configured to prevent light emitted by the light emitter from directly reaching the signal reception sensor array, with the signal reception sensor array being configured to detect light reflected by the image scene. The reference sensor and the signal reception sensor array are based on semiconductor nanoparticles.

Abstract: A method for determining a yaw angle of a longitudinal axis of a trailer relative to a longitudinal axis of a towing vehicle to which the trailer is hitched at a hitching point. The method includes: acquiring, by a camera mounted on a lateral side of the towing vehicle and oriented toward the trailer, an image of at least one lateral portion of the trailer; determining a reference on the image that is visible on the trailer; determining a visible length on the image between the reference and a vertical edge of the image oriented toward the towing vehicle; determining the yaw angle at least based on a horizontal field of view of the camera, a width of a matrix of pixels of the camera along a horizontal axis of the camera, coordinates of the hitching point, the visible length, and dimensions of at least one portion of the trailer.

Abstract: The present disclosure relates to systems, devices, and methods to calibrate an endoscope with a location-sensor-to-camera transform or a camera-to-location-sensor transform.

Abstract: The application relates to refined quantization steps in video coding. A method for video processing includes determining, during a conversion between a current video block and a bitstream representation of a video including the current video block, two-level quantization parameters including a first level quantization parameter QP1 and a second level quantization parameter QP2 for the current video block. The method further includes performing, at least based on the two-level quantization parameters, a first level quantization and/or a second level quantization during the conversion. The two-level quantization parameters correspond to different quantization precisions, respectively.

Abstract: A block vector predictor (BVP) may be adjusted to provide a more accurate prediction of a block vector (BV). A coder (e.g., encoder or decoder) may determine that the at least one component of the BVD may be equal to zero (or, e.g., null), for example, based on a position of the Current Block (CB) relative to a boundary of the reference region. Consequently, the encoder may skip signaling, and the decoder may skip parsing, of the at least one component of the BVD in the bitstream.

Abstract: Example methods and devices are disclosed relating to the use of adaptive loop filter classifiers. An example method includes determining a sum of absolute values of one or more reconstructed residual sample values within a window associated with a block of the video data. The example method includes determining a class index based at least in part on the sum of absolute values. The example method includes determining an adaptive loop filter based on the class index. The example method includes applying the adaptive loop filter to a current to-be-filtered sample of the block. The example method includes decoding the block based on the application of the adaptive loop filter.

Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing comprises: determining, from a plurality of filter shapes during a conversion between a current video block of a video and a bitstream of the video, a first filter shape for coding a first sample of the current video block; and performing the conversion based on the first filter shape. Compared with the conventional solution, the proposed method can advantageously improve the performance of the filtering tool.

Abstract: A method by which a decoding device decodes an image, according to the present document, comprises the steps of: generating a restoration picture on the basis of prediction samples of a coding block; deriving a boundary strength (BS) for a boundary of the coding block in the restoration picture; performing deblocking filtering on the boundary of the coding block on the basis of the boundary strength; and deriving a modified restoration picture for the restoration picture on the basis of the deblocking filtering, wherein the boundary strength is derived on the basis of a prediction mode of a first block and a second block that are adjacent to the boundary of the coding block, and the prediction mode of the first block or the second block is derived on the basis of whether the prediction mode of the first block or the second block is a current picture referencing (CPR) mode to be coded in reference to a current picture.

Abstract: An image processing device (3000) comprises an input unit (3020) and a presentation unit (3040). The input unit (3020) accepts an input of an operation for movement, on a captured image captured by a camera, of a first image which is superimposed on the captured image on the basis of a predetermined camera parameter indicating the position and attitude of the camera and which indicates a target object having a predetermined shape and a predetermined size set in a real space. The presentation unit (3040) presents the first image indicating the target object in a manner of view corresponding to a position on the captured image after the movement on the basis of the camera parameter.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. In one method, a decoder obtains, for a current chroma block, a non-linear model (non-LM) mode and a linear model (LM) mode, and the LM mode includes a cross component linear model (CCLM) mode and a multi-model linear model (MMLM) mode. The decoder then combines the non-LM mode and the LM mode for a multi-hypothesis-based chroma prediction (MCP) for the current chroma block.

Abstract: An image-generating device is disclosed. The image-generating device includes a light source configured to emit a light beam, a reflector configured to reflect the light beam toward an array of elements with variable transmittance, and a protective cover for the array of elements with variable transmittance attached to the array of elements with variable transmittance. The device includes a main housing configured to be attached to a support of the light source. The light source and the reflector are clamped between the support and the main housing attached to the support. The array of elements with variably transmittance are clamped between the main housing and the protective cover attached to the main housing.

Abstract: A loop filtering method, a video coding and decoding method and apparatus, a medium, and an electronic device that can obtain block classification information of a luma component in a video image frame in a case that adaptive loop filtering is performed (S710), use the block the block classification information to determine block classification information of a chroma component in the video image frame in a case that cross-component adaptive loop filtering is performed (S720); and select a corresponding filter coefficient to perform cross-component adaptive loop filtering on the chroma component according to the block classification information of the chroma component.