Abstract: A video decoding method by a video decoding apparatus includes: parsing, from a picture parameter set of a bitstream, a first flag related to whether a weighted prediction is applied to slices referring to the picture parameter set; parsing, from the picture parameter set, a second flag related to whether information about the weighted prediction is present in a picture header of the bitstream or is present in a slice header of the bitstream based on the first flag; parsing a prediction weighted table syntax from the picture header or the slice header based on the first flag and the second flag; generating prediction samples for the current block by performing weighted prediction for the current block in a current picture based on syntax elements in the prediction weighted table syntax; and generating reconstructed samples based on the prediction samples.

Abstract: Systems for and methods for generating precise structure reconstruction using slice and view images, are disclosed. An example method comprises, obtaining a slice and view images of a sample that depicts a 3D fiducial and cross-sections of a structure in the sample. The 3D fiducial is configured such that when a layer of material having a uniform thickness is removed from a surface of the sample that includes the 3D fiducial the cross-sectional shape of the 3D fiducial in the new surface is consistent. Relative positions are determined between the 3D fiducial the cross-sections of the structure in individual images. Positional relationships are then determined between the cross-sections of the structure in different images in a common reference frame based on the relative positions.

Abstract: A holographic system comprises an image processor, a hologram calculator and a display driver. The image processor is arranged to determine first and second secondary images by sampling the pixel values of a primary image at a regular array of sampling positions. The hologram calculator is arranged to determine a hologram of each secondary image. The display driver is arranged to display each hologram in rapid succession on a display device, first and second times, so as to reconstruct each secondary image from the respective hologram such that respective first and second arrays of image pixels corresponding to the primary image are perceivable. Image pixels of the reconstruction of the second secondary image are interposed between image pixels of the reconstruction of the first secondary image in the first direction.

Abstract: A data processing method for immersive media including acquiring point cloud data, encoding the point cloud data to obtain a point cloud code stream and a header information set, determining reuse indication information of the point cloud code stream based on a reuse state of the header information set, generating decoder configuration record information for the point cloud code stream according to the reuse state, and encapsulating the point cloud code stream and the decoder configuration record information as a media file of the immersive media.

Abstract: A method of visual media processing is provided. The method includes determining a size of a buffer to store reference samples for prediction in an intra block copy mode, and performing a conversion between a current video block of visual media data and a bitstream of the current video block. The conversion is performed using the reference samples stored in the buffer, and in the intra block copy (IBC) mode. The IBC mode is based on motion information related to a reconstructed block located in same video region with the current video block without referring to a reference picture.

Abstract: An encoder that encodes a video includes a processor and memory. Using the memory, the processor: derives a prediction error of an image included in the video, by subtracting a prediction image of the image from the image; determines a secondary transform basis based on a primary transform basis, the primary transform basis being a transform basis for a primary transform to be performed on the prediction error, the secondary transform basis being a transform basis for a secondary transform to be performed on a result of the primary transform; performs the primary transform on the prediction error using the primary transform basis; performs the secondary transform on a result of the primary transform using the secondary transform basis; performs quantization on a result of the secondary transform; and encodes a result of the quantization as data of the image.

Abstract: A vehicular parking system includes vehicle-to-vehicle (V2V) communication system disposed at a first vehicle. The vehicular parking system, as the first vehicle navigates a parking facility in search of an available parking space, receives a parking space availability communication via the V2V communication system. The parking space availability communication originates from a second vehicle that is also navigating the parking facility. The parking space availability communication indicates multiple available parking spaces within the parking facility and the multiple available parking spaces are determined by the second vehicle as the second vehicle navigates the parking facility and passes available parking spaces. The vehicular parking system, responsive to receiving the parking space availability communication, reserves one of the multiple available parking spaces of the parking space availability communication for the first vehicle.

Abstract: Provided is an image processing apparatus including a processor. The processor is configured to: reconstruct, by employing a plurality of time-series images acquired by an endoscope, three-dimensional information of an imaging subject containing relative dimensions; calculate, on the basis of focus information of each of the plurality of images, scale information for converting the relative dimensions of the three-dimensional information to absolute dimensions; convert, by employing the scale information, the relative dimensions to the absolute dimensions; and output three-dimensional information containing the absolute dimensions.

Abstract: Disclosed herein are various methods for supporting guidance systems. In one example, a method receives image information of a surrounding environment of the user device at a first real-world location. Thereafter, the method determines, based on the received image information, what further information is needed to generate a spatial anchor point in the model. Subsequently, the method provides guidance information to the user device for capturing the further image information that is required to create a spatial anchor point, after which point the user device may implement the guidance information. Next, the method receives further information required from the user device for generating a spatial anchor point, and then a spatial anchor point is generated based on the exchanged information.

Abstract: A point cloud decoding method related to the field of coding technologies and includes reconstructing a point cloud comprising one or more patches. The one or more patches comprise a current patch. The reconstructing process may include transforming coordinates (x2, y2) of a second point of the current patch in a second coordinate system to coordinates (x1, y1) of a first point of the current patch in a first coordinate system, where the coordinates (x1, y1) of the first point of the current patch in the first coordinate system may be obtained based on the coordinates (x2, y2) of the second point of the current patch in the second coordinate system and a transform matrix.

Abstract: A method for an end-to-end boundary lane detection system is described. The method includes gridding a red-green-blue (RGB) image captured by a camera sensor mounted on an ego vehicle into a plurality of image patches. The method also includes generating different image patch embeddings to provide correlations between the plurality of image patches and the RGB image. The method further includes encoding the different image patch embeddings into predetermined categories, grid offsets, and instance identifications. The method also includes generating lane boundary keypoints of the RGB image based on the encoding of the different image patch embeddings.

Abstract: An undistorted outspread method for annular images of the inner wall of borehole with center offset comprises putting camera into borehole and pushing camera inward to carry out video acquisition; selecting two frames of images, first image and second image, from the video obtained; adjusting second axis angle in second image to same angle as first axis angle in first image; adjusting first axis angle and adjusted second axis angle in S2 until difference between angle is zero; calculating first radius ratio of motion according to adjusted first image and second image, and obtaining second radius ratio of motion; obtaining first radius ratio of axis distance according to first radius ratio of motion, and obtaining second radius ratio of axis distance; correcting first radius ratio of axis distance and second radius ratio of axis distance to obtain third image and fourth image; outspreading undistorted image to obtain undistorted outspread image.

Abstract: A video processing method is provided. The method includes: performing a conversion between a video including a plurality of pictures each including at least one slice and a bitstream of the video, wherein the bitstream conforms to a format rule. The format rule specifies that a first flag in the bitstream indicates whether a picture header syntax structure of a picture is included in a slice header of a slice of the picture; and responsive to any of six flags in a picture parameter set associated with the picture is equal to 1, the first flag is equal to 0.

Abstract: Methods and apparatuses for image encoding and image decoding are provided. The image decoding method includes: obtaining deep neural network (DNN) update permission information indicating whether one or more pieces of DNN setting information are updated; based on the DNN update permission information indicating that the one or more pieces of the DNN setting information are updated, obtaining DNN update information necessary for determining one or more pieces of the DNN setting information that are updated; determining the one or more pieces of the updated DNN setting information according to the DNN update information; and obtaining a third image by performing artificial intelligence (AI) up-scaling on a second image according to the one or more pieces of the updated DNN setting information.

Abstract: Methods and apparatus are provided for signaling intra prediction for large blocks for video encoders and decoders. An apparatus includes a video encoder for encoding picture data for at least one large block in a picture by signaling intra prediction for the at least one large block. The intra prediction is signaled by selecting a basic coding unit size and assigning a single spatial intra partition type for the basic coding unit size. The single spatial intra partition type is selectable from among a plurality of spatial intra partition types. The at least one large block has a large block size greater than a block size of the basic coding unit. The intra prediction is hierarchical layer intra prediction and is performed for the at least one large block by splitting from the large block size to the basic coding unit size.

Abstract: Systems and methods for determining an alignment of a trailer relative to a docking bay or a vehicle bay door using dynamic depth filtering. Image data and position data is captured by a 3D camera system with an at least partially downward-facing field of view. When a trailer is approaching the docking bay or door, the captured image data includes a top surface of the trailer. A dynamic height range is determined based on an estimated height of the top surface of the trailer in the image data and a dynamic depth filter is applied to filter out image data corresponding to heights outside of the dynamic height range. An angular position and/or lateral offset of the trailer is determined based on the depth-filtered image data.

Abstract: A method includes performing a conversion between a video unit of a video and a bitstream of the video. The bitstream conforms to a format rule. The format rule specifies that a syntax element indicating whether an in-loop filtering operation is performed across slice boundaries is selectively included in the bitstream based on whether or how the video unit is partitioned into slices.

Abstract: In a method for video encoding, whether an angular intra prediction mode for a current block is a wide angle mode is determined. The current block is a non-square block and the wide angle mode is in a direction outside of a range of directions that spans a bottom left diagonal direction and top right diagonal direction of the current block. In response to determining that the angular intra prediction mode is the wide angle mode, whether a block size of the non-square block is greater than 32 is determined. In response to determining that the block size of the non-square block is greater than 32, an intra smoothing filter is enabled and the enabled intra smoothing filter is applied to blocks neighboring the current block to generate filtered blocks. A characteristic value of the current block is encoded in a bitstream based on the filtered blocks.

Abstract: A method is provided for calibrating a structured light system. The structured light system comprises, a camera, a processor and a projector that emits light at an unknown pattern. According to this method, the projector emits an unknown pattern at two different distances relative to the camera's location, and the camera captures the pattern that was projected at the different distances The processor then determines the vertical disparity between the two captured images and estimates a relative orientation between the camera and the projector. This estimation in turn is applied in the calibration of the structured light system.

Abstract: Systems and methods for compressing image data from images forming part of a digital content stream. The method includes, for a sequence of n images within the digital content stream, obtaining image data for each of the n images and compressing the image data for at least some of the n images using a respective compression scheme.