Abstract: This disclosure relates transform configuration and signaling for a compound inter-intra prediction modes. In one example, a method for decoding a video block in a video stream is disclosed. The method may include determining that the current block is predicted under a CIIP mode; generating a set of secondary transform coefficients for the current block from the video bitstream; applying a combined inter intra secondary transform by: performing an inverse separable or non-separable secondary transform on the set of secondary transform coefficients to obtain a set of primary transform coefficients of the current block; and performing an inverse primary transform on the set of primary transform coefficients to obtain a residual block of the current block; and decoding, under the CIIP mode, the current block from the residual block.

Abstract: Methods, apparatus, and computer readable storage medium for implementation of signaling EOC/EOR. The method includes receiving a video bitstream comprising a transform block having two dimensions, the transform block being entropy encoded; determining whether a one-dimensional transform skip is applied to the transform block based on a syntax element in the video bitstream; in response to the one-dimensional transform skip being applied to the transform block, obtaining, from the video bitstream, an end position value associated with the transform block, the end position value indicating only one of a horizontal coordinate end position in the transform block and a vertical coordinate end position in the transform block; and retrieving the transform block from the video bitstream according to the end position value.

Abstract: A method for generating an overview image of a sample which is arranged in an observation volume of a microscope by means of a sample carrier is proposed, wherein the sample carrier is illuminated by a first illumination, wherein a preliminary overview image is generated using the first illumination and an overview camera of the microscope, wherein an overview image illumination is chosen on the basis of the preliminary overview image, wherein the sample carrier is illuminated by the overview illumination, and wherein the overview image is generated using the overview image illumination and the overview camera.

Abstract: Example image processing methods, apparatus, systems and articles of manufacture (e.g., computer readable media) to implement multi-object multi-view association are disclosed. Examples disclosed herein obtain initial two-dimensional (2D) bounding boxes of detected objects in multiple images of a scene from multiple cameras, generate a plurality of three-dimensional (3D) bounding boxes potentially corresponding to one or more objects to be tracked, and generate a weight that represents a strength of association between two detected objects respectively in two images of the multiple images. The weight is based on projection of one of the 3D bounding boxes back to at least one of the two images to generate a re-projection 2D bounding box.

Abstract: Provided are an image encoding/decoding method and device. The image decoding method performed by the image decoding device, according to the present disclosure, may comprise the steps of: determining a residual sample of a current block; and resetting the value of the residual sample on the basis of whether a color space transform is applied. The step for resetting the value of the residual block may be performed on the basis of a half value of a chroma residual sample value.

Abstract: A system for inspecting a reflective surface includes a first imaging assembly configured to take a first image of the reflective surface. The first image includes depth information. The system also includes a second imaging assembly configured to take a second image of the reflective surface. The second image includes contrast information. The system further includes a processor configured to acquire the first image and the second image, estimate a depth profile of the surface based on the depth information, correlate the depth profile with the second image, and identify a feature of the reflective surface based on the correlation.

Abstract: A video transform method includes: receiving a quantized transform coefficient for a target block and a transform index for a non-separated secondary transform; inverse-quantizing the quantized transform coefficient; deriving an input transform coefficient size indicating the length of the inverse-quantized transform coefficient to which the non-separated secondary transform has been applied, an output transform coefficient size indicating the length of a modified transform coefficient to which the non-separated secondary transform has been applied, and a transform set mapped to the intra mode of the target block, when the transform index does not indicate that the non-separated secondary transform is not performed; and deriving the modified transform coefficient on the basis of a matrix operation on a transform kernel matrix in the transform set indicated by the transform index, and a transform coefficient list corresponding to the input transform coefficient size.

Abstract: A prediction value determination method, an encoder and a decoder are provided. The method is applicable to an encoder or a decoder, and the method comprises: acquiring reconstructed blocks of a block to be encoded, a number of the reconstructed blocks being more than one; processing template pixel matrices of the reconstructed blocks according to preset processing parameters to obtain processed template pixel matrices; determining a matched block of the block to be encoded according to the processed template pixel matrices; and determining a pixel matrix of the matched block of the block to be encoded as a prediction of the block to be encoded.

Abstract: Transform kernel candidates including a vertical transform type associated with a vertical motion and a horizontal transform type associated with a horizontal motion can be encoded or decoded. During a decoding operation, a probability model for decoding encoded bitstream video data associated with a transform kernel candidate for an encoded transform block is identified based on one or both of a first transform kernel candidate selected for an above neighbor transform block of the encoded transform block or a second transform kernel candidate selected for a left neighbor transform block of the encoded transform block. The encoded bitstream video data associated with the transform kernel candidate is decoded using the probability model.

Abstract: A driver assistance system and driver assistance method for a combination of a motor vehicle and a trailer, which includes a first camera located on the motor vehicle configured to generate a first image, and a second camera located on the trailer configured to generate a second image, and a computer processing device configured to determine a first distance and a second distance by a sensor or a user input, determine a bowl view responsive to the first distance and the second distance in relation to a threshold distance, and generate a combined image from the second image and the first image responsive to the bowl view.

Abstract: Generating a compound predictor block for a current block of video includes generating, for the current block, a first predictor block using one of inter-prediction or intra-prediction and generating a second predictor block. The first predictor block includes a first pixel and the second predictor block includes a second pixel that is co-located with the first pixel. A first weight is determined for the first pixel using a difference between a value of the first pixel and a value of the second pixel. A second weight is determined for the second pixel using the first weight. The compound predictor block is generated by combining the first predictor block and the second predictor block. The compound predictor block includes a weighted pixel that is determined using a weighted sum of the first pixel and the second pixel using the first weight and the second weight.

Abstract: Stereoscopy in which at least one image of a scene is recorded from a first viewing angle, and at least one image of the scene is recorded from a second viewing angle. The scene is recorded multiple times from the first viewing angle. A first combination image is obtained from the various images recorded from the first viewing angle, said combination image according to the stipulation of a comparison algorithm having smaller differences in relation to at least one image also recorded from the second viewing angle or smaller differences in relation to a second combination image obtained from the images from the second viewing angle than each individual image recorded from the first viewing angle. An image of the scene with the depth information is obtained from the first combination image and at least one image from the second viewing angle or the second combination image.

Abstract: An imaging device includes an alignment platform configured to hold a cell culture plate having a plurality of wells and an imaging assembly including a plurality of imaging units, each of which is configured to image one well of the plurality of wells.

Abstract: A system includes a plurality of satellites in orbit around a celestial body in a plurality of orbital planes. Each satellite includes an imaging device having a field of view (FOV) to capture an image of a sky that includes celestial image features of resident space object (RSO), stars, and/or planets. The satellite processor is configured to receive image data from sensors in the imaging device, to increase a positional detection accuracy of the celestial image features by defocusing imaging optics of the imaging device, to capture image data in a volume of the sky as the FOV of the imaging device on each satellite moves in an orbital plane, and generate by a centralized computer at least 1,000 celestial image features using the image data transmitted from each of the satellites.

Abstract: A method for numerically compensating imaging errors caused by a geometrical deformation of a stereo camera is provided. An inertial variable vector is provided that is determined by an accelerometer, which inertial variable vector is expressed in a stereo camera coordinate system with a known geometrical relationship between the stereo camera coordinate system and the world coordinate system, and which inertial variable vector relates to a physical force which at least partly causes the geometrical deformation of the stereo camera. A calibrated analytic deformation model of the stereo camera is evaluated with the inertial variable vector as input. Updated external camera parameters are determined. The updated external camera parameters and known internal camera parameters of the two cameras are used for stereophotogrammetric analysis of images acquired by the stereo camera.

Abstract: Methods and apparatus for performing intra prediction in an encoder or a decoder for non-square blocks enable a combination of reference samples from a row above the non-square block and a row to the left of the non-square block to be used for the prediction. In one embodiment, a weighted combination of reference samples are used. In another embodiment, the angles of prediction are extended in the longer direction of the non-square block, such that less angles of prediction are used in the shorter direction.

Abstract: An example apparatus includes a first frame buffer configured to store video data; a second frame buffer configured to store video data; and one or more processors configured to: reconstruct samples of a first block of a current picture of video data; store, in parallel, a compressed version of the samples of the first block of video data in the first frame buffer and an uncompressed version of the samples of the first block of video data in the second frame buffer; and responsive to determining to reconstruct a second block of the current picture of video data using intra block copy: obtain, from the second frame buffer, samples of a predictor block located in the current picture of video data, the predictor block at least partially overlapping the first block of video data; and predict, based on the obtained samples of the predictor block, samples of the second block.

Abstract: A video decoding method according to the present document comprises a step of deriving a modified transform coefficient, and the step of deriving the transform coefficient may comprise the steps of: determining whether an LFNST can be applied to the height and width of a current block on the basis of the tree type and color format of the current block; parsing an LFNST index if the LFNST can be applied; and deriving the modified transform coefficient on the basis of the LFNST index and an LFNST matrix.

Abstract: An image acquisition method and apparatus are provided. By controlling a motion device, at least one of an image acquisition device or a photographed target object moves under the driving of the motion device, so that a sample image including the target object can be acquired in a preset designated acquisition pose after movement, thereby improving the accuracy of a relative pose between the image acquisition device and the target object during acquisition, reducing human intervention during acquisition, improving the automation degree, and providing the possibility for subsequent services that need to be performed according to sample images captured with relatively high shooting pose accuracy.

Abstract: In exemplary embodiments, methods and systems are provided that include or utilize one or more automotive equipped cameras and a processor. The one or more automotive equipped cameras are configured to be onboard a vehicle and to obtain camera images during operation of the vehicle, the camera images including a view of one or more wheels of the vehicle. The processor is coupled to the one or more cameras, and is configured to at least facilitate: processing the camera images; and determining one or more states of the one or more wheels, including an alignment thereof, a health thereof, or both, based on the processing of the camera images.