Abstract: A method performed by at least one processor of an encoder comprises: performing, on an input 3D mesh, a symmetry detection process to estimate a partition plane. The method further comprises partitioning the input 3D mesh into a first side and a second side based on the partition plane, where the first side is opposite to the second side, and where a first vertex on the first side is symmetric to a second vertex on the second side. The method further comprises quantizing the first vertex and the second vertex in pairs to reduce a quantization error and symmetry prediction error associated with the first vertex and the second vertex.

Abstract: A method of decoding JVET video, comprising receiving a bitstream indicating how a coding tree unit was partitioned into coding units according to a partitioning structure that allows nodes to be split according to a partitioning technique. An intra direction mode for a coding unit may be selected, as well as one or more of the plurality of reference lines to generate at least one predictor for the intra direction mode. A predictor may be generated from reference samples within each selected reference line by combining predicted pixel values based on a projected position on a main reference line in combination with predicted pixel values based on a projected position on a side reference line. The predicted pixel values are weighted according to a weight parameter, wherein the weight parameter is determined based on a shift conversion factor.

Abstract: A video decoder may be configured to receive a block of video data that was encoded using a coding mode that includes a search process in one or more reference frames. The video decoder may prefetch reference samples in a fixed search region of at least one reference frame of the one or more reference frames, and decode the block of video data using the coding mode, including performing the search process for the coding mode using the prefetched reference samples.

Abstract: A device may be configured to perform filtering based on information included in a neural network post-filter characteristics message. In one example, the neural network post-filter characteristics message includes a syntax element indicating whether only a luma matrix is present in an output tensor. In one example, the neural network post-filter characteristics message includes a syntax element indicating a presence of a syntax element indicating a location of chroma samples, in a case where not only the luma matrix is present in an output tensor.

Abstract: A second level intra prediction mode can be combined with one or more of sixty-seven JVET intra prediction modes during encoding of a coding unit in a video bitstream. Embodiments include making a position dependent intra prediction combination (PDPC) mode available as the second level intra prediction mode. In embodiments, when a PDPC (position dependent intra prediction combination) mode is enabled, the second level intra prediction is combined with one of the 67 selected intra predictor modes. In embodiments, the PDPC mode is only enabled or available for a predetermined subset of intra prediction modes (out of 67 possible modes), in order to reduce encoder complexity and potentially improve coding efficiency. The PDPC mode may be identifies as enabled or available by a list of modes or signaling in the video bitstream.

Abstract: A dash cam having an anti-theft function includes an image acquisition unit configured to capture an image, a housing, in which the image acquisition unit is built in, mounted inside a vehicle so that the image acquisition unit images a space including at least a portion of a part constituting the vehicle, an image storage unit configured to store a first image and a second image captured by the image acquisition unit, an image analysis unit configured to compare the first image with the second image and determine whether the vehicle in which the housing is mounted has been changed, and a theft signal output unit configured to output a preset theft occurrence signal based on a determination that the vehicle has been changed by the image analysis unit.

Abstract: A device and method for performing fast grid-based refining segmentation (FGRS) for video-based point cloud compression (V-PCC) is proposed. The method may include dividing a space of a three-dimensional (3D) point cloud into multiple grids to derive multiple voxels, searching for filled voxels including one or more points, searching for surrounding voxels which are filled voxels within a certain radius from each of the filled voxels, and searching for edge voxels which are present at a segment edge among all the filled voxels. The method may also include calculating smooth scores for surrounding voxels of each edge voxel and calculating a smooth score sum which is a smooth score for the edge voxel on the basis of the smooth scores of the surrounding voxels of the edge voxel, and updating a projection plane index (PPI) for each individual point in the edge voxel using the calculated smooth score sum.

Abstract: An image decoding method includes obtaining feature data of a current optical flow and feature data of a current residual image from a bitstream; obtaining the current optical flow and first weight data by applying the feature data of the current optical flow to an optical flow decoder; obtaining the current residual image by applying the feature data of the current residual image to a residual decoder; obtaining a preliminary prediction image from the previous reconstructed image, based on the current optical flow; obtaining a final prediction image by applying sample values of the first weight data to sample values of the preliminary prediction image; and obtaining a current reconstructed image corresponding to the current image by combining the final prediction image with the current residual image.

Abstract: A monitoring system that monitors periphery of a shovel moving on ground and reports a tumble risk of the periphery of the shovel to an operator includes: a risk determination unit configured to determine a tumble risk in a case of movement of the shovel to the periphery based on distance information measured by a first sensor that is mounted on the shovel and measures a distance to a ground object including the ground in the periphery of the shovel and slope information measured by a second sensor measuring a slope of the shovel; and a display video generation unit configured to generate and output an image indicating the tumble risk determined by the risk determination unit.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes receiving, from the video signal, a picture frame that includes a first component and a second component, receiving, from the video signal, a plurality of sample offsets associated with the second component, reconstructing the samples of the first component before a first in-loop filter module, reconstructing the samples of the second component after a second in-loop filter module, determining a classifier for the second component from one or more reconstructed samples of the first component relative to each sample of the second component, selecting a sample offset from the plurality of sample offsets for the second component according to the classifier, and modifying the reconstructed samples of the second component based on the selected sample offset.

Abstract: A rearview assembly includes an electrochromic element. The electrochromic element includes a first substrate including a first surface and a second surface. The electrochromic element further includes a second substrate comprising a third surface and a fourth surface. The first substrate and the second substrate form a cavity. The electrochromic element includes an electrochromic medium contained in the cavity. The rearview assembly includes an image sensor directed toward the fourth surface and configured to capture near-infrared light reflected from an object and projected through the electrochromic element. The rearview assembly includes a transflective film disposed adjacent to the fourth surface having a near-infrared light transmission level and a visible light reflectance level.

Abstract: A method detects a suspension position of a supporting bar in a pallet, having supporting bars along a longitudinal direction, each with multiple supporting bar tips along a main direction of extent. The supporting bar tips define a supporting plane. A two-dimensional contrast-image dataset of the pallet is created, its pixels being assigned a pixel value and a pixel-area unit of the supporting plane. The contrast-image dataset has regions that are assigned to the supporting bar tips as local pixel-value extremes in a uniform pixel-value background. A longitudinal position is determined in the contrast-image dataset of the regions that are assigned to the supporting bar tips a supporting bar using the local pixel-value extremes. The suspension position of the supporting bar in the pallet is deduced based on the longitudinal position in the contrast-image dataset and an extent of the pixel-area unit in the longitudinal direction.

Abstract: Aspects of the disclosure provide a method and an apparatus including processing circuitry for video decoding. The processing circuitry determines a transform candidate for a block in a current picture from a group of transform sets based on one of a feature vector {right arrow over (F)} or a feature scalar S extracted from reconstructed samples in one or more neighboring blocks of the block. Each transform set of the group of transform sets can include one or more transform candidates for the block. The one or more neighboring blocks can be in the current picture or a reconstructed picture different from the current picture. The processing circuitry reconstructs samples of the block based on the determined transform candidate.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data including a current picture and one or more other pictures is received. A first flag corresponding to whether the current picture is referenced by the one or more other pictures in a decoding order is checked. A second flag corresponding to whether the current picture is output; is checked. The video data is decoded based on values corresponding to the first flag and the second flag.

Abstract: A vehicle bottom surface imaging system is equipped with a housing above which a vehicle can pass, first and second reflecting mirrors provided inside the housing and sequentially arranged along a passing direction of the vehicle, and first and second cameras provided inside the housing and arranged apart from each other in a vehicle width direction. The first reflecting mirror reflects the light incident from above the housing onto the first camera. The second reflecting mirror reflects the light incident from above the housing onto the second camera. The first reflecting mirror is so provided as to be changed over between a service state where the light incident from above the housing is reflected onto the first camera and a folded state where the reflected light from the second reflecting mirror onto the second camera is not blocked.

Abstract: An image encoding/decoding method and device, according to the present invention, comprises the steps of: configuring a motion information candidate list of a target block; selecting a candidate index from the motion information candidate list; deriving an offset for adjusting a motion vector; and recovering a motion vector of the target block through a predicted motion vector recovered on the basis of the offset.

Abstract: Disclosed herein is a method of decoding an image. The method includes generating an inter prediction block by performing inter prediction with respect to a current block, generating an intra prediction block by performing intra prediction with respect to the current block, determining a first weight and a second weight, and generating a final prediction block by respectively applying the first weight and the second weight to the inter prediction block and the intra prediction block. The generating of the intra prediction block includes generating the intra prediction block using a predefined intra prediction mode.

Abstract: A non-transitory computer-readable recording medium has stored therein a setting program that causes a computer to execute a process, the process including acquiring a video from a camera, identifying a depth indicating a distance from the camera to each of constituent elements of the video acquired from the camera, generating a three-dimensional in-store model, generating skeleton information on a person who moves inside the store from the video acquired from the camera, setting a range and a direction of an aisle in the store in the generated three-dimensional in-store model based on a change in the generated skeleton information and setting a detection line in the storage based on the range and the direction of the aisle in the store, the detection line for detecting that the person has extended a hand to a product.

Abstract: A display system for a vehicle that comprises at least two display units mounted within a vehicle so as to be positioned at both sides of a driver seat. The display units are adapted to display images captured by video cameras mounted outside the vehicle, wherein the orientation of each display unit relative to the driver seat is adjustable. The vehicle also includes a controller coupled to a display orientating device and a seat position sensor device and adapted to automatically control the display orientating device based on the seat position data received from the seat position sensor device.

Abstract: An endoscope system includes a light source that emits illumination light, an image sensor that captures an image of an object toward which the illumination light is emitted, and a processor. The processor is configured to determine whether a fluid is present in the object. If the fluid is not present in the object, the processor switches to a first observation mode in which to illuminate the object by first illumination light. If the fluid is present in the object, the processor switches to a second observation mode in which to illuminate the object by second illumination light. The second illumination light includes is larger than the first illumination light in a relative ratio of long wavelength components.