Abstract: This disclosure describes devices and methods for coding transform coefficients associated with a block of residual video data in a video coding process. Aspects of this disclosure include the selection of a scan order for both significance map coding and level coding, as well as the selection of contexts for entropy coding consistent with the selected scan order. This disclosure proposes a harmonization of the scan order to code both the significance map of the transform coefficients as well as to code the levels of the transform coefficient. It is proposed that the scan order for the significance map should be in the inverse direction (i.e., from the higher frequencies to the lower frequencies). This disclosure also proposes that transform coefficients be scanned in sub-sets as opposed to fixed sub-blocks. In particular, transform coefficients are scanned in a sub-set consisting of a number of consecutive coefficients according to the scan order.

Abstract: An encoding device, a decoding device, and a method for mesh decoding are disclosed. The method for mesh decoding includes receiving a compressed bitstream. The method also includes separating, from the compressed bitstream, a first bitstream and a second bitstream. The method further includes decoding, from the second bitstream, connectivity information of a three dimensional (3D) mesh. The method additionally includes decoding, from the first bitstream, a first frame and a second frame that include patches. The patches included in the first frame represent vertex coordinates of the 3D mesh and the patches included in the second frame represent a vertex attribute of the 3D mesh. The method also includes reconstructing a point cloud based on the first and second frames. Additionally, the method also includes applying the connectivity information to the point cloud to reconstruct the 3D mesh.

Abstract: An encoding device, a decoding device, and a method for mesh decoding are disclosed. The method for mesh decoding includes receiving a bitstream. The method also includes decoding a frame that includes pixels from the bitstream. A portion of the pixels of the frame represent geometric locations of vertices of a 3D mesh that are organized into overlapped patches The method further includes decoding connectivity information from the bitstream. Additionally, the method includes identifying triangles associated with the overlapped patches The triangles represented in an overlapped patch of the overlapped patches are allocated to a projection direction based on a normal vector associated with each of the triangles of the overlapped patch. The method also includes reconstructing the 3D mesh based on the connectivity information and the overlapped patches.

Abstract: Methods incorporating extensions to copy-above mode for palette mode coding are disclosed. In one aspect, the method includes coding a current pixel of a current block of video data in copy-previous mode via coding a previous line index. The coding of the current pixel in copy-previous mode further including identifying a number of candidate values for the previous line index, identifying a number of escape pixels in a column of pixels above the current pixel in the current block, and reducing a number of candidate values of the previous line index by the number of identified escape pixels.

Abstract: In an example a method of processing video data includes determining a first palette for a first block of video data that is located in a first row of blocks, generating a predictor palette for constructing at least one second palette of at least one second block of video data in the first row of blocks coded, reinitializing the predictor palette for determining a third palette of a third block of video data that is located in a second row of blocks, wherein re-initializing the predictor palette comprises re-initializing the predictor palette based on the one or more palette entries of the first palette or an initial predictor palette generated after coding the first block, determining the third palette of the third block based on the re-initialized predictor palette, and coding the third block using the third palette.

Abstract: Techniques are described for harmonizing coding techniques when residual differential pulse code modulation (RDPCM) is applied to a residual block. In some examples, a scan order used for such a residual block may be required to be the same as when the residual block is generated from intra-predicting the current block and when the residual block is generated from inter-predicting or intra block copy predicting the current block.

Abstract: A decoding device, an encoding device and methods for point cloud encoding and decoding are disclosed. The method for decoding includes decoding an attribute frame, a geometry frame, and occupancy map frame from a received bitstream. The attribute and geometry frames include pixels representing points of a 3D point cloud and the occupancy map frame includes values. The method also includes generating a binary occupancy map frame based on comparing the values in the occupancy map frame to a scaling threshold to determine whether the pixels included in the attribute and geometry frames at corresponding positions in the binary occupancy map frame are valid pixels. The method further includes generating the 3D point cloud using the attribute frame, the geometry frame, and the binary occupancy map frame.

Abstract: A decoding device for point cloud decoding includes a communication interface and a processor. The communication interface configured to receive a bitstream. The processor is configured to identify, from the bitstream, messages and one or more sub-bitstreams representing a three-dimensional (3D) point cloud. The processor is configured to identify a query label indicating an object of the 3D point cloud for decoding. In response to determining that the query label corresponds to a label, the processor is configured to identify a 3D scene object associated with the query label. The processor is configured to identify a 2D tile that correspond to the 3D scene object. The processor is configured to determine to decode, based on an identification of the 2D tile from the sub-bitstream, a portion of the sub-bitstream corresponding to the 2D tile to generate a portion of a video frame representing a portion of the 3D scene object.

Abstract: An encoding device and a method for point cloud encoding are disclosed. The method includes segmenting an area including points representing a three-dimensional (3D) point cloud into multiple voxels. The method also includes generating a patch information for each of the multiple voxels that include at least one of the points of the 3D point cloud. The method further includes assigning the patch information of the multiple voxels to the points included in each respective voxel, to generate patches that represent the 3D point cloud. Additionally, the method includes generating frames that include pixels that represent the patches. The method also includes encoding the frames to generate a bitstream and transmitting the bitstream.

Abstract: In an example, a method of coding video data includes determining a first palette having first entries indicating first pixel values, determining, based on the first entries of the first palette, one or more second entries indicating second pixel values of a second palette, and coding pixels of a block of video data using the second palette.

Abstract: An encoding device, a method of encoding, and decoding device for point cloud compression of a 3D point cloud. The encoding device is configured to generate, for the three-dimensional (3D) point cloud, at least a set of geometry frames and a set of occupancy map frames for points of the 3D point cloud. The encoding device is also configured to select an occupancy precision value based on a quantization parameter (QP) associated with at least one generated geometry frame in the set of geometry frames, subsample at least one occupancy map frame in the set of occupancy map frames based on the selected occupancy precision value, and encode the set of geometry frames and the set of occupancy map frames into a bitstream for transmission.

Abstract: The method includes receiving video blocks that are each associated with a table having entries specifying pixel values used in the blocks. The method further includes dividing the blocks into sub-blocks each having an array of pixels. The method also includes selecting a sub-block scanning order that specifies an order in which the plurality of sub-blocks are to be encoded and a pixel scanning order that specifies an order in which the pixels of each sub-block are to be encoded. The scanning order and the pixel scanning order are selected based at least in part upon pixel value distributions and a bit rate for encoding the block according to the scanning or pixel scanning order, respectively. The blocks are then encoded using the selected scanning order and pixel scanning order and the index values in the table.

Abstract: A method for point cloud encoding includes generating, for a three-dimensional (3D) point cloud, video frames and atlas frames that includes pixels representing information about the 3D point cloud, wherein atlas tiles represent partitions in the atlas frames and video tiles represent partitions in the video frames. The method also includes setting a value for a syntax element according to relationships between sizes of the video tiles and sizes of the atlas tiles. The method further includes encoding the video frames and the atlas frames to generate video sub-bitstreams and an atlas sub-bitstream, respectively. Additionally, the method includes generating a bitstream based on the atlas sub-bitstream, the video sub-bitstreams, and the syntax element and transmitting the bitstream.

Abstract: A decoding device includes a communication interface and a processor. The communication interface is configured to receive a bitstream. The processor is configured to decode from the bitstream a first frame, a second frame and an occupancy map frame. The processor is also configured to reconstruct the 3D point cloud using the first frame, the second frame, and the occupancy map frame. The processor is further configured to perform a single pass of the occupancy map frame to identify points of the reconstructed 3D point cloud that correspond to a subset of pixels in the first frame and the second frame that are positioned within a proximity threshold to a boundary of any of the patches.

Abstract: An apparatus includes a communication interface and a processor for providing volumetric conversational service. The communication interface receives a signaling message, from a plurality of user equipment (UEs), indicating a capability of the UEs to process participant volumetric content. The processor is operably coupled to the communication interface and identifies a conference associated with the UEs for which volumetric processing is requested. The processor further provisions a plurality of media resource functions in edge application servers of edge data networks for processing the participant volumetric content from the UEs. The processor assigns one or more of the UEs to a respective media resource function of the media resource functions. Additionally, the processor instructs the participant volumetric content received from the UEs to the media resource functions. The processor instructs conference volumetric content converted by the respective media resource functions to the UEs for the conference.

Abstract: An example method of coding video data includes coding, from a coded video bitstream, a syntax element that indicates whether a transpose process is applied to palette indices of a palette for a current block of video data; decoding, from the coded video bitstream and at a position in the coded video bitstream that is after the syntax element that indicates whether the transpose process is applied to palette indices of the palette for the current block of video data, one or more syntax elements related to delta quantization parameter (QP) and/or chroma QP offsets for the current block of video data; and decoding the current block of video data based on the palette for the current block of video data and the one or more syntax elements related to delta QP and/or chroma QP offsets for the current block of video data.

Abstract: A decoding device, an encoding device and a method for point cloud decoding is disclosed. The method includes generating, for a 3D point cloud, a first 2D frame representing a first attribute and a second 2D frame representing a second attribute. The first 2D frame and the second 2D frame include respective clusters of projected points from the 3D point cloud. The method includes detecting missed points of the 3D point cloud and generating first and second additional points patches representing the first attribute and the second attribute, respectively, based on at least a subset of the missed points. The method includes including the first and second additional points patch in the first and second 2D frame, respectively. The method includes encoding the first 2D frame and the second 2D frame to generate a compressed bitstream and transmitting the compressed bitstream.

Abstract: A decoding device, an encoding device and a method for point cloud decoding is disclosed. The method includes receiving a bitstream. The method also includes decoding, from the compressed bitstream, a first frame, a second frame, and an occupancy map frame. The first and the second frame include pixels representing points of a 3D point cloud at different depths. The occupancy map frame indicates whether the pixels included in the first frame and the second frame at that position in the occupancy map frame are valid pixels and whether points of the 3D point cloud are positioned between the first frame and the second frame at that position in the occupancy map frame. The method further includes generating the 3D point cloud using the first frame, the second frame, and the occupancy map frame.

Abstract: A decoding device, an encoding device and a method for point cloud decoding is disclosed. The method includes receiving a bitstream. The method also includes decoding the bitstream into a geometry frame and a texture frame. The geometry and texture frames represent include pixels representing points of the 3D point cloud from different layers. The method further includes deriving a set of missing geometry values from the pixels in the geometry frame and a set of missing texture values from the pixels in the texture frame. The method additionally includes generating a first set of frames representing geometry based on the geometry frame and the set of missing geometry values and generating a second set of frames representing texture based on the texture frame and the set of missing texture values. The method also includes generating the 3D point cloud using the first and second sets of frames.

Abstract: This disclosure describes devices and methods for coding transform coefficients associated with a block of residual video data in a video coding process. Aspects of this disclosure include the selection of a scan order for both significance map coding and level coding, as well as the selection of contexts for entropy coding consistent with the selected scan order. This disclosure proposes a harmonization of the scan order to code both the significance map of the transform coefficients as well as to code the levels of the transform coefficient. It is proposed that the scan order for the significance map should be in the inverse direction (i.e., from the higher frequencies to the lower frequencies). This disclosure also proposes that transform coefficients be scanned in sub-sets as opposed to fixed sub-blocks. In particular, transform coefficients are scanned in a sub-set consisting of a number of consecutive coefficients according to the scan order.