Abstract: A method for video processing is provided. The method includes determining, for a conversion between a current video block of a video that is a chroma block and a coded representation of the video, multiple sets of parameters, wherein each set of parameters defines a cross-component linear model (CCLM) and is derived from a corresponding group of chroma samples at corresponding chroma sample positions; determining, based on the multiple sets of parameters, parameters for a final CCLM; and performing the conversion based on the final CCLM.

Abstract: An intra prediction method by using cross component liner prediction mode (CCLM), includes: determining a luma block corresponding to a current chroma block; obtaining luma reference samples of the luma block based on determining L available chroma reference samples of the current chroma block, wherein the obtained luma reference samples of the luma block are down-sampled luma reference samples; calculating linear model coefficients based on the luma reference samples and chroma reference samples that correspond to the luma reference samples; and obtaining a prediction for the current chroma block based on the linear model coefficients and values of a down-sampled luma block of the luma block.

Abstract: Methods are described to communicate source color volume information in a coded bitstream using SEI messaging. Such data include at least the minimum, maximum, and average luminance values in the source data plus optional data that may include the color volume x and y chromaticity coordinates for the input color primaries (e.g., red, green, and blue) of the source data, and the color x and y chromaticity coordinates for the color primaries corresponding to the minimum, average, and maximum luminance values in the source data. Messaging data signaling an active region in each picture may also be included.

Abstract: An image decoding method performed by a decoding apparatus according to the present document comprises the steps of: deriving prediction samples for a first sample and a second sample of the current block on the basis of BDPCM-related information about the current block and neighboring samples of the current block; deriving residual samples for the first sample and the second sample on the basis of a residual coefficient of the first sample and a modified residual coefficient of the second sample; and storing, as the intra prediction mode of the current block, the intra prediction mode in the prediction direction of the current block, which is derived on the basis of a BDPCM direction flag.

Abstract: An apparatus for transmitting 3D contents includes an input configured to receive a point cloud to be converted into a 2D image; a global grid generator configured to create a global grid that determines a size of a 2D image to be converted from the point cloud; a point cloud converter configured to create a V3C bitstream in which the point cloud is converted to a 2D image of a size determined by the global grid based on V-PCC; and a grid information extractor configured to extract size information of the global grid from the V3C bitstream; an encapsulator configured to create ISOBMFF data based on the V3C bitstream and the extracted global grid size information; and a transmitter configured to transmit the ISOBMFF data.

Abstract: A video decoder decodes a video from a video bitstream encoded using Versatile Video Coding (VVC). The video decoder determines a bit depth of samples of the video based on Sequence Parameter Set (SPS) syntax element sps_bitdepth_minus8 whose value is in the range of 0 to 8. The decoder further determines the size of a decoded picture buffer (DPB) based on a Video Parameter Set (VPS) syntax element vps_ols_dpb_bitdepth_minus8 whose value is in the range of 0 to 8. The decoder allocates a storage space with the determined size of the DPB, decodes the video bitstream based on the determined bit depth, and thus obtains and stores a decoded picture in the DPB. The decoder further outputs the decoded picture.

Abstract: An input image to a pipeline of chained reshaping functions is received. Reference images are generated from the input image. The input image and the reference images are used to determine operational parameters for chained reshaping functions in the pipeline of chained reshaping functions. A reshaped image generated from one or more of the chained reshaping functions is encoded in a video signal along with image metadata. The image metadata includes some or all of the operational parameters specifying the chained reshaping functions. A recipient device of the video signal is caused to use the image metadata and the reshaped image to generate a reconstructed image.

Abstract: Devices, systems and methods for video processing are described. An example method for video processing includes determining, for a conversion between a current block of a video and a bitstream representation of the video, a number of intra-coded neighboring blocks of the current block for a combined inter and intra prediction mode according to a rule that specifies a manner of treating a block coded using a palette coding mode in counting the number of intra-coded neighboring blocks for the combined inter and intra prediction mode. The method also includes performing the conversion based on the determining.

Abstract: A method for decoding a video signal based on reduced transform includes the steps of: obtaining, from the video signal, a transform index indicating transform kernels applied to horizontal and vertical directions of a current block; determining a region in which a transform is applied to the current block based on the transform kernels indicated by the transform index and a size of the current block; deriving, as zero, coefficients of a remaining region other than the region to which the transform is applied within the current block; and performing an inverse transform on the region to which the transform is applied using the transform kernels indicated by the transform index.

Abstract: An omnidirectional ghost imaging system based on a mechanism of bio-inspired retina-like includes a projection system, a collimating lens, a spectroscope, a curved mirror, a bucket detector, a data acquisition card and an arithmetic system. According to the application, the logarithmic polar mapping characteristic of the bio-inspired retina-like structure is utilized to generate an annular pattern sequence of the bio-inspired retina-like, and the pattern sequence is utilized to modulate a light source. After being reflected by the target around the curved mirror, the light is projected onto the curved mirror and diffusely reflected. According to the reversible characteristics of the optical path, the light after diffuse reflection is reflected to the original light source by the half mirror and half lens, and the reflected light intensity with target information is received by the bucket detector.

Abstract: An image decoding method according to the present document can comprise the steps of: on the basis of first flag information indicating whether or not matrix-based intra prediction (MIP) can be applied to a current block, receiving second flag information indicating whether or not the MIP is used for the current block; receiving matrix-based intra prediction (MIP) mode information on the basis of the second flag information; generating intra prediction samples for the current block on the basis of the MIP mode information; and generating reconstructed samples for the current block on the basis of the intra prediction samples.

Abstract: A vehicular vision system includes a forward-viewing camera disposed at a windshield of a vehicle and an electronic control unit (ECU) disposed at the vehicle remote from the forward-viewing camera. The forward-viewing camera is connected to the ECU via an image data transmission line, the image data transmission line includes a power-over-coaxial cable. The image data transmission line (i) transmits image data captured by the forward-viewing camera from the forward-viewing camera to the ECU for processing at the ECU and (ii) delivers electrical power from the ECU to said forward-viewing camera for powering the forward-viewing camera. Captured image data transmitted to the ECU from at least the forward-viewing camera is processed at the ECU for at least one driver assistance system of the vehicle. Filtering circuitry filters electrical noise arising at least from electrical power delivered via the image data transmission line from the ECU to the forward-viewing camera.

Abstract: A method of video processing is provided. The method includes determining, for a conversion between a video comprising a video unit and a bitstream of the video, whether a first coding tool is enabled for the video unit according to a rule. The rule specifies that the first coding tool and a second coding tool are mutually exclusively enabled. The first coding tool or the second coding tool comprises a sign data hiding tool. The method also includes performing the conversion according to the determining.

Abstract: A method, performed by a digital device, for processing an image service according to the present document comprises the steps of: receiving image information; decoding a first image on the basis of the image information; processing the decoded first image to be displayed on a first area of a display screen; and processing a second image to be displayed on a second area of the display screen.

Abstract: A motion sensory and imaging device capable of acquiring imaging information of the scene and providing at least a near real time pass-through of imaging information to a user. The sensory and imaging device can be used stand-alone or coupled to a wearable or portable device to create a wearable sensory system capable of presenting to the wearer the imaging information augmented with virtualized or created presentations of information.

Abstract: A video decoding apparatus predicts a target block in a current picture to be decoded. The apparatus comprises a predictor configured to: determine first and second reference pictures and first and second motion vectors for bi-prediction by decoding a bitstream; generate a first reference block from the first reference picture referenced by the first motion vector and generate a second reference block from the second reference picture referenced by the second motion vector; and generate a prediction block of the target block using the first and second reference blocks. The predictor includes a first coding tool configured to generate the prediction block of the target block by performing a bi-directional optical flow process using the first and second reference blocks.

Abstract: A motion information storing method comprises: determining a distance between a sample set in the current block and the common boundary; and comparing the distance with a threshold to determine whether third motion information is stored for the sample set, wherein the third motion information is derived by the first motion information and the second motion information.

Abstract: A head-mounted device (HMD) is configured to perform depth detection with a stereo camera pair comprising a first camera and a second camera, both of which are configured to detect/capture visible light and IR light. The fields of view for both of the cameras overlap to form an overlapping field of view. The HMD also includes an IR dot-pattern illuminator that is mounted on the HMD with the cameras and that is configured to emit an IR dot-pattern illumination. The IR dot-pattern illuminator emits a dot-pattern illumination that spans at least a part of the overlapping field of view. The IR dot-pattern illumination adds texture to objects in the environment and enables the HMD to determine depth for those objects, even if they have textureless/smooth surfaces.

Abstract: A computing device performs a method of decoding video data by reconstructing a luma block corresponding to a chroma block; searching a sub-group of a plurality of reconstructed neighboring luma samples in a predefined order to identify a maximum luma sample and a minimum luma sample; computing a down-sampled maximum luma sample corresponding to the maximum luma sample; computing a down-sampled minimum luma sample corresponding to the minimum luma sample; generating a linear model using the down-sampled maximum luma sample, the down-sampled minimum luma sample, the first reconstructed chroma sample, and the second reconstructed chroma sample; computing down-sampled luma samples from luma samples of the reconstructed luma block, wherein each down-sampled luma sample corresponds to a chroma sample of the chroma block; and predicting chroma samples of the chroma block by applying the liner model to the corresponding down-sampled luma samples.

Abstract: Devices, systems and methods for video processing are described. An example method for video processing includes determining, for a conversion between a current block of a video and a bitstream representation of the video, a number of intra-coded neighboring blocks of the current block for a combined inter and intra prediction mode according to a rule that specifies that a first block coded using a first prediction mode is treated as a non-intra block to be excluded from counting of the number of intra-coded neighboring blocks. In the first prediction mode, reconstructed samples are represented by a set of representative color values, and the set of representative color values comprises at least one of 1) palette predictors, 2) escaped samples, or 3) palette information included in the bitstream. The method also includes performing the conversion based on the determining.