Abstract: A method of point cloud geometry decoding in a point cloud decoder is provided. In the method, first signaling information is received from a coded bitstream for a point cloud that includes a set of points in a three-dimensional (3D) space. The first signaling information indicates partition information of the point cloud. Second signaling information is determined based on the first signaling information indicating a first value. The second signaling information is indicative of a partition mode of the set of points in the 3D space. Further, the partition mode of the set of points in the 3D space is determined based on the second signaling information. The point cloud is reconstructed subsequently based on the partition mode.

Abstract: The present invention provides a method for encoding a video signal on the basis of a graph-based separable transform (GBST), the method comprising the steps of: generating an incidence matrix representing a line graph; training a sample covariance matrix for rows and columns from the rows and columns of a residual signal; calculating a graph Laplacian matrix for rows and columns on the basis of the incidence matrix and the sample covariance matrix for rows and columns; and obtaining a GBST by performing eigen decomposition of the graph Laplacian matrix for rows and columns.

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: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform receiving video data in an AOMedia Video 1 (AV1) format comprising data of at least two chroma prediction-residual signal blocks, a transformation between at least one signal block, having a size less than or equal to a combination of the chroma prediction-residual signal blocks, and the chroma prediction-residual signal blocks, and decoding the video data based on an output of the transformation comprising the at least one signal block having the size less than or equal to the combination of the chroma prediction-residual blocks.

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 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 of point cloud geometry encoding includes receiving a slice of a point cloud frame for encoding, and constructing 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. The constructing includes determining a value of a partitionSkip variable specifying a partition type and a partition direction of the current node of the octree.

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: In a method of point cloud geometry decoding in a point cloud decoder, chroma prediction residual information of a point in a set of points is received from a coded bitstream for a point cloud that includes the set of points. The chroma prediction residual information includes a Cb component and a Cr component. Further, a type of correlation between the Cb component and the Cr component of the chroma prediction residual information is determined by processing circuitry and from the coded bitstream for the point cloud. The chroma prediction residual information is decoded based on the type of the correlation between the Cb component and the Cr component of the chroma prediction residual information.

Abstract: A method, apparatus, and computer-readable medium for point cloud coefficient coding are provided. The method may include receiving compressed point cloud data based on set-index values and symbol-index values; and entropy-decoding the set-index values based on the compressed point cloud data. The symbol-index values may be bypass-decoded based on the compressed point cloud data, and the set-index values and symbol-index values may be combined into transform coefficients associated with cloud point data.

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 in the apparatus for point cloud encoding receives an occupancy map for a point cloud. The occupancy map is indicative of a background portion and a foreground portion for a coding block in an image that is generated based on the point cloud. Then, the processing circuitry devaluates distortions in the background portion of the coding block during an optimization process that results a coding option for the coding block, and encodes the coding block according to the coding option.

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 apparatus is for point cloud decompression. The processing circuitry decodes prediction information of an image from a coded bitstream corresponding to a point cloud. The prediction information indicates that the image includes a plurality of missed points from at least a patch for the point cloud, and the plurality of missed points are arranged in the image according to a non-jumpy scan. Then, the processing circuitry reconstructs the plurality of missed points from the image according to the non-jumpy scan.

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: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform receiving video data in an AOMedia Video 1 (AV1) format comprising data of at least two chroma prediction-residual signal blocks, a transformation between at least one signal block, having a size less than or equal to a combination of the chroma prediction-residual signal blocks, and the chroma prediction-residual signal blocks, and decoding the video data based on an output of the transformation comprising the at least one signal block having the size less than or equal to the combination of the chroma prediction-residual blocks.

Abstract: Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for video encoding/decoding. An apparatus includes processing circuitry that decodes a video bitstream to obtain a reduced-resolution residual block for a current block. The processing circuitry determines that a block level flag is set to a pre-defined value. The pre-defined value indicates that the current block is coded in reduced-resolution coding. Based on the block level flag, the processing circuitry generates a reduced-resolution prediction block for the current block by down-sampling a full-resolution reference block of the current block. The processing circuitry generates a reduced-resolution reconstruction block for the current block based on the reduced-resolution prediction block and the reduced-resolution residual block. The processing circuitry generates a full-resolution reconstruction block for the current block by up-sampling the reduced-resolution reconstruction block.

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: A method, apparatus, and computer-readable medium for point cloud coefficient coding are provided. Transform coefficients associated with point cloud data are decomposed into set-index values and symbol-index values, the symbol index-value specifying location of the transform coefficient within a set. The decomposed transform coefficients are partitioned into one or more sets based on the set-index values and the symbol-index values. The set-index values of the partitioned transform coefficients are entropy-coded, and the symbol-index values of the partitioned transform coefficients are bypass-coded. The point cloud data is compressed based on the entropy-coded symbol-index values and the bypass-coded set-index values.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding and decoding. Processing circuitry of an apparatus for video decoding decodes coded information for one or more blocks from a coded video bitstream. The coded information indicates whether to apply a super resolution coding mode to the one or more blocks. The super resolution coding mode is applied in response to the one or more blocks having been down sampled from a high spatial resolution to a low spatial resolution lower than the high spatial resolution by an encoder. Based on the coded information indicating that the super resolution coding mode is applied to the one or more blocks, the processing circuitry can generate, using the super resolution coding mode, a reconstructed block having the high spatial resolution by upsampling information of a first block having the low spatial resolution in the one or more blocks including transform coefficients.

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: A method, apparatus, and computer-readable medium for point cloud coefficient coding are provided. Transform coefficients associated with point cloud data are decomposed into set-index values and symbol-index values, the symbol index-value specifying location of the transform coefficient within a set. The decomposed transform coefficients are partitioned into one or more sets based on the set-index values and the symbol-index values. The set-index values of the partitioned transform coefficients are entropy-coded, and the symbol-index values of the partitioned transform coefficients are bypass-coded. The point cloud data is compressed based on the entropy-coded symbol-index values and the bypass-coded set-index values.