Abstract: A method for point cloud decoding includes receiving a bitstream. The method also includes decoding the bitstream into multiple frames that include pixels. Certain pixels of the multiple frames correspond to points of a three-dimensional (3D) point cloud. The multiple frames include a first set of frames that represent locations of the points of the 3D point cloud and a second set of frames that represent attribute information for the points of the 3D point cloud. The method further includes reconstructing the 3D point cloud based on the first set of frames. Additionally, the method includes identifying a first portion of the points of the reconstructed 3D point cloud based at least in part on a property associated with the multiple frames. The method also includes modifying a portion of the attribute information. The portion of the attribute information that is modified corresponds to the first portion of the points.

Abstract: A method and decoder for point cloud decoding. The method includes receiving and decoding a bitstream into multiple frames that include patches corresponding to respective clusters of points from a 3D point cloud. The method also includes generating a grid that includes a plurality of 3D cells, wherein the 3D point cloud is within the grid. The method further includes identifying a first cell of the plurality of 3D cells that includes a query point corresponding to a pixel on a boundary of one of the patches. The method additionally includes identifying a luminance value of the first cell. The method also includes performing color smoothing on the query point based on comparison of the luminance value of the first cell to a threshold.

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: A video encoder may transform residual data by using a transform selected from a group of transforms. The transform is applied to the residual data to create a two-dimensional array of transform coefficients. A scanning mode is selected to scan the transform coefficients in the two-dimensional array into a one-dimensional array of transform coefficients. The combination of transform and scanning mode may be selected from a subset of combinations that is based on an intra-prediction mode. The scanning mode may also be selected based on the transform used to create the two-dimensional array. The transforms and/or scanning modes used may be signaled to a video decoder.

Abstract: An encoding device, a decoding device and a method for point cloud encoding is provided. The method includes generating, for a 3D point cloud, frames corresponding to attributes of the 3D point cloud and an occupancy map. The method also includes encoding, the frames to generate one or more bitstreams. The one or more bitstreams include individual tracks and media content. The individual tracks include media tracks and a timed metadata track. The timed metadata track references the media tracks and the media tracks correspond respectively to the attributes. The method also includes generating a container including the one or more bitstreams transmitting the container.

Abstract: A method and apparatus for video coding with spatial prediction mode for multi-mode video coding is disclosed. In one aspect, the method includes coding a slice of video data, the slice including a plurality of pixels organized into a first line and a plurality of non-first lines. The coding of the slice further includes coding a current pixel of the first line in a spatial prediction mode using a previous pixel of the first line as a predictor and coding another pixel of a non-first line in a coding mode other than the spatial prediction mode.

Abstract: A method for point cloud decoding includes receiving a bitstream. The method also includes decoding the bitstream into multiple frames that include pixels. A portion of the pixels are organized into patches and correspond to respective clusters of points of a 3D point cloud. The method further includes decoding, from the bitstream, an occupancy map frame. The occupancy map frame indicates the portion of the pixels included in the multiple frames that represent the points of the 3D point cloud. In addition, the method includes reconstructing the 3D point cloud using the multiple frames and the occupancy map frame. The method also includes determining whether to perform smoothing to the 3D point cloud based at least in part on properties of the multiple frames. Based on determining to perform the smoothing, the method includes performing the smoothing to the 3D point cloud.

Abstract: A decoding device, an encoding device and methods for point cloud encoding and decoding are disclosed. The method for decoding includes receiving a bitstream and decoding from the bit stream a first and second frame that is associated with a delta index. The first and second frames include patches that represent a 3D point cloud at different instances in time. The method additionally includes determining, based on decoding the delta index, that at least one of the patches included in the second frame matches a corresponding patch included in the first frame. The method further includes identifying a predictor index for a current patch; identifying a reference index associated with a reference patch in the first frame based on the delta index and the predictor index; and generating the 3D point cloud using the first frame, the second frame, and the reference patch.

Abstract: A method for point cloud encoding includes generating, for a 3D point cloud, first and second frames representing the 3D point cloud at different depths, wherein the first and second frames each include a set of patches representing a cluster of points of the 3D point cloud. The method also includes encoding the first frame. After encoding the first frame, the method includes decoding the first frame. The method further includes generating a third frame representing a difference between corresponding points of the second frame and the decoded first frame. The method additionally includes encoding the third frame. The method also includes generating a compressed bitstream including the encoded first frame and the encoded third frame. The method further includes transmitting the compressed bitstream.

Abstract: A video encoder may transform residual data by using a transform selected from a group of transforms. The transform is applied to the residual data to create a two-dimensional array of transform coefficients. A scanning mode is selected to scan the transform coefficients in the two-dimensional array into a one-dimensional array of transform coefficients. The combination of transform and scanning mode may be selected from a subset of combinations that is based on an intra-prediction mode. The scanning mode may also be selected based on the transform used to create the two-dimensional array. The transforms and/or scanning modes used may be signaled to a video decoder.

Abstract: An apparatus configured to encode video data comprising a memory configured to store a block of video data and one or more processors in communication with the memory. The one or more processors are configured to determine a coding mode for encoding the block of video data from among one or more coding modes, wherein the coding mode is determined based on a maximum syntax element size, encode the block of video data in a plurality of substreams according to the determined coding mode to create a plurality of encoded substreams of video data, store the plurality of encoded substreams of video data in respective balance first-in, first-out (FIFO) buffers, and multiplex the plurality of encoded substreams in a bitstream for transmitting to a video decoder.

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: A method of encoding video data comprising encoding a current picture of video data, generating a respective collocated reference picture index syntax element for one or more slices of the current picture, and performing a bitstream conformance check only for slices of the one or more slices that do not have an intra slice type and for which a temporal motion vector predictor is enabled, the bitstream conformance check constraining the values of the respective collocated reference picture index syntax elements such that each respective collocated reference picture index syntax element points to the same picture and does not reference the current picture itself.

Abstract: A device for decoding video data adds motion information of a neighboring block of a current block to a merge candidate list, wherein the motion information comprises a motion vector of the neighboring block, and wherein the motion vector refers to the current picture; receives an index indicating a merge candidate from the merge candidate list; and in response to the index indicating the merge candidate corresponding to the motion information of the neighboring block, predicts the current block using a lower precision motion vector that represents a rounded version of the motion vector of the neighboring block.

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: In an example, a method of processing video data may include inferring a pixel scan order for a first palette mode encoded block of video data without receiving a block-level syntax element having a value representative of the pixel scan order for the first palette mode encoded block. The method may include decoding the first palette mode encoded block of video data using the inferred pixel scan order. The method may include receiving a block-level syntax element having a value representative of a pixel scan order for a second palette mode encoded block of video data. The method may include determining the pixel scan order for the second palette mode encoded block of video data based on the received block-level syntax element. The method may include decoding the second palette mode encoded block of video data using the determined pixel scan order.

Abstract: In an example, a method of processing video data includes coding at least one of data that indicates a maximum palette size of a palette of color values for coding a block of video data or data that indicates a maximum palette predictor size of a palette predictor for determining the palette of color values. The method also includes coding the block of video data in accordance with the data.

Abstract: A method and system for encoding video data in a constant bit rate video encoder. A video encoder may determine a coding mode for encoding a block of video data from among one or more coding modes based on a minimum syntax element size and a maximum syntax element size, wherein the minimum syntax element size is greater than 1 bit, encode the block of video data in a plurality of substreams according to the determined coding mode to create a plurality of encoded substreams of video data, store the plurality of encoded substreams of video data in respective balance FIFO buffers, and multiplex the plurality of encoded substreams in a bitstream for transmitting to a decoder.

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: 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.