Abstract: A method and apparatus for video coding system that uses intra prediction based on cross-colour linear model are disclosed. According to the method, model parameters for a first-colour predictor model are determined and the first-colour predictor model provides a predicted first-colour pixel value according to a combination of at least two corresponding reconstructed second-colour pixel values. According to another method, the first-colour predictor model provides a predicted first-colour pixel value based on a second degree model or higher of one or more corresponding reconstructed second-colour pixel values. First-colour predictors for the current first-colour block are determined according to the first-colour prediction model. The input data are then encoded at the encoder side or decoded at the decoder side using the first-colour predictors.

Abstract: An endoscope includes: an insertion portion formed along a longitudinal axis extending from a proximal end to a distal end; a light guide having an optical characteristic that enables transmitting lithotriptic light and illuminating light having respective wavelength bands that are different from each other, from the proximal end toward the distal end of the insertion portion; and a treatment instrument insertion channel provided in the insertion portion, the treatment instrument insertion channel extending from the proximal end to the distal end.

Abstract: A detection method for stain on a light cover of a LiDAR, including: transmitting a multi-pulse sequence with pulse coding; receiving an echo; obtaining an echo pulse sequence in the echo corresponding to the multi-pulse sequence; determining whether the light cover of the LiDAR has a stain based on a time of flight (TOF) of the echo pulse sequence. The present disclosure utilizes light beams generated by a transmitter unit of the LiDAR to detect a stain on the light cover, without the necessity to add an extra light source and/or detector device. The present disclosure provides a simple structure, which saves internal space of the LiDAR. In this application, the detection is completed by using the coded time, TOF and the number of echo points, and the detection accuracy is high and the misjudgment can be avoided.

Abstract: A method for video encoding, a method for video decoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In the method for video decoding, the decoder may obtain one or more filtering parameters, wherein the one or more filtering parameters are from a filtering parameter set comprising a number of similar blocks, a search range, and a window size; obtain, based on the one or more filtering parameters, one or more similar pixels for a first pixel that has been filtered in a picture and the first pixel; and obtain an original pixel associated with the first pixel based on the one or more similar pixels.

Abstract: Methods and devices for decoding video data are described. An example method includes in-loop filtering a current block of the video data using a neural network-based in-loop filter to generate an in-loop filtered current block, wherein the neural network-based in-loop filter is trained using an architecture comprising a U-Net architecture comprising one or more residual blocks and one or more transform blocks; and outputting the in-loop filtered current block.

Abstract: Lidar apparatus includes a light source having a source frequency, an electrical signal generator configured to generate a digitally-coded electrical signal, a modulator configured to impress the digitally-coded signal onto a light beam emitted by the light source, and to convert the digitally-coded output beam of the light source into a multi-dimensional modulated output beam, transmitter optics configured to propagate the multi-dimensional beam toward a target, receiver optics configured to receive the multi-dimensional beam as reflected by the target, an optical demodulator configured to demodulate the reflected multi-dimensional beam, electro-optical conversion circuitry configured to output an electrical signal representing the received reflected multi-dimensional beam, and digital signal processing circuitry configured to compare the electrical signal representing the received reflected multi-dimensional beam to the digitally-coded signal to determine at least one of (a) range, and (b) velocity, of the

Abstract: A method of partitioning a video coding block for JVET, comprising representing a JVET coding tree unit as a root node in a quadtree plus binary tree (QTBT) structure that can have a quadtree branching from the root node and binary trees branching from each of the quadtree's leaf nodes using asymmetric binary partitioning to split a coding unit represented by a quadtree leaf node into two child coding units of unequal size, representing the two child coding units as leaf nodes in a binary tree branching from the quadtree leaf node and coding the child coding units represented by leaf nodes of the binary tree with JVET, wherein further partitioning of child coding units split from quadtree leaf nodes via asymmetric binary partitioning is disallowed.

Abstract: A decoder includes memory and a processor coupled to the memory and configured to: generate a first coefficient value by applying a CCALF (cross component adaptive loop filtering) process to a first reconstructed image sample of a luma component; clip the first coefficient value such that the clipped first coefficient value is within a first range from ?27 to 27?1; generate a second coefficient value by applying an ALF (adaptive loop filtering) process to a second reconstructed image sample of a chroma component; clip the second coefficient value such that the clipped second coefficient value is within a second range different from the first range; generate a third coefficient value by adding the clipped first coefficient value to the clipped second coefficient value; and generate a third reconstructed image sample of the chroma component using the third coefficient value.

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.