Abstract: A method of interframe point cloud attribute coding is performed by at least one processor and includes coding a first color attribute of a point of a point cloud to obtain a first reconstructed residual, coding a second color attribute of the point to obtain a second reconstructed residual, and determining a quantization index of the second reconstructed residual, based on the first reconstructed residual and the second reconstructed residual. The method further includes updating the second reconstructed residual, based on the quantization index and the first reconstructed residual.

Abstract: A method of encoding video data corresponding to a point cloud by at least one processor, the method including obtaining a plurality of transform coefficients corresponding to attributes of the point cloud; and encoding the plurality of transform coefficients to generate an embedded bitstream, the encoding including iterating over a plurality of bit-planes of the plurality of transform coefficients to process all points in the point cloud.

Abstract: A method of adaptive point cloud attribute coding is performed by at least one processor and includes determining a centroid of k candidate points of a point cloud, k being a predetermined sampling rate of all points of the point cloud, and selecting one of the k candidate points that is closest to the centroid. The method further includes determining a first levels-of-detail (LoD) layer comprising the one of the k candidate points, and a second LoD layer without the one of the k candidate points, and performing coding of attributes of the all points, based on the first LoD layer and the second LoD layer.

Abstract: A method and apparatus for encoding/decoding a video stream using video point cloud coding, the encoding/decoding including obtaining an input point cloud, generating patches based on points of the point cloud, packing the patches into an image, generating the video stream based on the image, and smoothing the image using Morton codes.

Abstract: A method of interframe point cloud attribute decoding of video data is performed by at least one processor and includes: obtaining a first reconstructed residual; obtaining a quantization index of a second reconstructed residual; obtaining the second reconstructed residual, based on the obtained quantization index of the second reconstructed residual and the obtained first reconstructed residual; and obtaining a color attribute of a point of a point cloud by decoding the obtained second reconstructed residual or decoding a transform residual based on the obtained second reconstructed residual.

Abstract: Systems and methods for decoding a video stream by at least one processor, a method includes receiving the video stream, the video stream including at least one cell; and reconstructing a cell from among the at least one cell. The reconstructing includes: obtaining a maximum difference value for each of at least one set of attribute values of the cell; and determining whether to apply a filter to the cell based on the maximum difference value of a set of attribute values of the at least one set of attribute values.

Abstract: A method of point cloud geometry decoding in a point cloud decoder can include receiving a bitstream including a slice of a coded point cloud frame, and reconstructing an octree representing a geometry of points in a bounding box of the slice where a current node of the octree is partitioned with a quadtree (QT) partition or a binary tree (BT) partition.

Abstract: Aspects of the disclosure provide methods and apparatuses for point cloud compression and decompression. In some examples, an apparatus for point cloud compression/decompression includes processing circuitry. For example, the processing circuitry determines, from a point cloud, at least a first set of candidate source points that are associated with a target point in a geometry image reconstructed from a compressed geometry image for the point cloud. Then, the processing circuitry weights a color of each candidate source point in the first set based on a combination of a location difference between the candidate source point and the target point, and a color difference between the color of the candidate source point and an aggregate color of the first set of candidate source points. Further, the processing circuitry determines a color of the target point based on a first weighted color average of the first set of candidate source points.

Abstract: According to some aspects of the disclosure, processing circuitry for point cloud decompression can decode prediction information of an image from a coded bitstream corresponding to a point cloud. The prediction information indicates that the image includes a first portion corresponding to patches in the point cloud, and a second portion corresponding to missed points by the patches from the point cloud. The processing circuitry can scan the second portion of the image according to a non-jumpy scan to obtain the missed points in a sequence, and reconstruct the point cloud based on reconstructed patches corresponding to the patches and reconstructed missed points based on the sequence of the missed points.

Abstract: A polygon unit-based image processing method, and a device for the same are disclosed. Specifically, a method for decoding an image on the basis of a polygon unit can comprise the steps of: deriving a motion vector predictor for a polygon apex forming the polygon unit; deriving a motion vector for the polygon apex on the basis of a motion vector difference for the polygon apex and the motion vector predictor; and deriving a prediction sample for the polygon unit from a division unit, which is specified by the motion vector, in a reference picture.

Abstract: Disclosed herein is a method of encoding a video signal, comprising receiving an original video signal; comparing the original video signal with available reconstructed signals; generating a transform-coded correction signal based on a result of the comparison; generating a prediction signal based on the transform-coded correction signal and the available reconstructed signals; and reconstructing a signal by adding the transform-coded correction signal to the prediction signal.

Abstract: An intra prediction method according to the present invention comprises the steps of: determining an intra prediction mode for a current block; determining whether to apply a coefficient induced intra prediction (CIIP) to the current block; deriving neighboring reference samples for the current block on the basis of whether the CIIP is applied; and generating prediction samples for the current block on the basis of the intra prediction mode and the neighboring samples. The present invention can generate modified or improved neighboring reference samples and thereby can improve the performance of intra prediction.

Abstract: The present invention provides a method for decoding a video signal including extracting a prediction mode for a current block from the video signal; generating a prediction block in a spatial domain according to the prediction mode; obtaining a transformed prediction block by performing a transform on the prediction block; updating the transformed prediction block using a correlation coefficient or a scaling coefficient; and generating a reconstruction block based on the updated transformed prediction block and a residual block.

Abstract: A method includes receiving a data cloud including a plurality of data points. The method further includes identifying each data point including a region-of-interest (ROI) and dividing the data cloud into a ROI cloud and one or more non-ROI clouds. The method includes performing a patch generation process on the ROI cloud, the patch generation process including generating a ROI patch from each data point including the ROI. The method includes performing a patch packing process on the ROI cloud, the patch packing process including: (i) mapping each ROI patch to a two dimensional (2D) map, (ii) determining whether at least two ROI patches from the plurality of ROI patches are located in more than one tile of the map, and (iii) in response to the determination that at least two ROI patches are located in more than one tile, moving each of the ROI patches to a tile.

Abstract: A method of adaptive point cloud attribute coding includes obtaining an attribute of a current point included in point cloud data, and obtaining candidate predicted values of the obtained attribute, the candidate predicted values including any one or any combination of a weighted average value of a plurality of distances from the current point respectively to other points included in the point cloud data, a first predicted value of a first distance from the current point to a first nearest point among the other points and a second predicted value of a second distance from the current point to a second nearest point after the first nearest point among the other points. The method further includes selecting, for the obtained attribute, one among the obtained candidate predicted values, using rate-distortion optimization, and setting, for a decoder, a flag indicating whether the obtained candidate predicted values includes the weighted average value.

Abstract: A method and apparatus for referencing a parameter set to permit decoding of a coded point cloud sequence includes parsing a parameter set associated with the coded point cloud sequence. A dependent parameter set is identified based on parsing the parameter set. It is identified whether the dependent parameter set is a patch-level parameter set. The patch-level parameter set is referenced based on identifying that the dependent parameter set is the patch-level parameter set to permit the decoding of the coded point cloud sequence. A frame-level parameter set is referenced based on identifying that the dependent parameter set is not the patch-level parameter set to permit the decoding of the coded point cloud sequence.

Abstract: A method of point cloud attribute coding includes calculating a motion-estimating uncertainty value based on geometry data associated with a point cloud; identifying one or more inter-frame nearest neighbor point cloud samples corresponding to the point cloud in response to a determination that the motion-estimating uncertainty value is less than a threshold value; ranking one or more temporal candidate points associated with the one or more identified inter-frame nearest neighbor point cloud samples based on the motion-estimation uncertainty value; and extracting one or more sample attribute values from the one or more temporal candidate points, whereby the one or more sample attribute values correspond to the geometry data.

Abstract: A method of predicting point cloud attribute coding includes receiving point cloud data comprising one or more candidate points and extracting one or more candidate attribute values for the one or more candidate points from the received point cloud data. The method further includes calculating a weighted median from the one or more extracted candidate attribute values and a weight factor, whereby the weight factor corresponds to a relative importance factor of a candidate vector associated with the extracted candidate attribute values. The method further includes assign one or more prediction indices corresponding to attribute data for video encoding to the candidate points in response to the calculation of the weighted median, wherein the prediction indices and processing the media content to encode the attribute data associated with the candidate points having the lowest prediction indices.

Abstract: A method of obtaining a tree-based point cloud compression (PCC) media stream using moving picture experts group (MPEG)-dynamic adaptive streaming over http (DASH), is performed by at least one processor and includes obtaining, from a server, a media representation description (MPD) comprising a PCC uniform resource indicator (URI) and a PCC three-dimensional (3D) descriptor, and determining whether the PCC URI comprised in the obtained MPD indicates that the tree-based PCC media stream is to be accessed. The method further includes, based on the PCC URI being determined to indicate that the tree-based PCC media stream is to be accessed, obtaining, from the server, the tree-based PCC media stream, using the PCC 3D descriptor comprised in the obtained MPD.

Abstract: A method of interframe point cloud attribute coding is performed by at least one processor and includes obtaining, as a motion estimation unreliability measure of motion estimation of a target frame, a value inversely proportional to a ratio of a number of first point cloud samples of the target frame respectively with second point cloud samples of an interframe reference frame, to a number of point cloud samples in the target frame. The method further includes identifying whether the obtained motion estimation unreliability measure is greater than a predetermined threshold, based on the obtained motion estimation unreliability measure being identified to be greater than the predetermined threshold, skipping motion compensation of the target frame, and based on the obtained motion estimation unreliability measure being identified to be less than or equal to the predetermined threshold, performing the motion compensation of the target frame.