Abstract: An apparatus includes a communication interface configured to receive a bitstream for a compressed video and a processor operably coupled to the communication interface. The processor is configured to identify a video format for the compressed video. The processor is also configured to determine, from one or more of at least one signaling element and the identified video format, a displacement data packing arrangement. The processor is also configured to retrieve displacement data according to the determined displacement data packing arrangement.

Abstract: An apparatus includes a communication interface configured to receive a compressed video bitstream and a processor operably coupled to the communication interface. The processor is configured to determine, for a vertex in the compressed video bitstream, one or more vertex neighbors based on a signaled limit to a number of the one or more vertex neighbors. The processor is also configured to identify, based on a vertex motion vector (VMV) identifier signaled in the compressed video bitstream, a VMV predictor from among a plurality of VMV predictors to use for the vertex. The processor is also configured to reconstruct a mesh frame based on the determined one or more vertex neighbors and the identified VMV predictor.

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 includes a communication interface and a processor operably coupled to the communication interface. The processor is configured to form a level of detail (LOD) signal corresponding to a displacement field. The processor is also configured to identify a current sample in the LOD signal. The processor is further configured to derive a context for the current sample in the LOD signal. In addition, the processor is configured to produce an output bitstream by encoding the LOD signal using the context.

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 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 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: 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: 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: 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 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: 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 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 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: 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 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 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: In an example, a method of decoding video data includes generating a residual block of a picture based on a predicted residual block including reconstructing one or more residual values of the residual block based on one or more predicted residual values of the residual block. The method also includes generating a current block of the picture based on a combination of the residual block and a prediction block of the picture.

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: 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.