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 based on the patch information of the multiple voxels. 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:
A decoding device, an encoding device and a method for point cloud decoding is disclosed. The method includes decoding the compressed bitstream into a first set and second set of 2-D frames. The first set of 2-D frames include first set of regular patches representing geometry of a 3-D point cloud and the second set of 2-D frames include first set of regular patches representing texture of the 3-D point cloud. The method includes identifying in the first set of 2-D frames, a missed points patch representing geometry of points of the 3-D point cloud not included in the regular patches, and in the second set of 2-D frames a missed points patch that represents texture of the points of the 3-D point cloud not included in the regular patches. The method also includes generating, using the set of 2-D frames, the 3-D point cloud using the missed points patches.
Abstract:
An electronic device includes a receiver receives a compressed bitstream and metadata. The electronic device also includes at least one processor that generates an HDR image by decoding the compressed bitstream, identifies viewpoint information based on an orientation of the electronic device, maps the HDR image onto a surface, and renders a portion of the HDR image based on the metadata and the viewpoint information. A display displays the portion of the HDR image.
Abstract:
An encoding device, a decoding device, and a method for mesh decoding are disclosed. The method for mesh decoding 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:
A decoder, an encoder and a method for decoding 3D point cloud data. The decoder includes a communication interface configured to receive an encoded bit stream comprising the 3D point cloud data and a processor. The processor is configured to decode the bit stream to identify a plurality of 2D frames; identify corresponding pixels in two or more geometry frames in the plurality of 2D frames based on locations of the corresponding pixels in the two or more geometry frames; identify depth values of the corresponding pixels in the two or more geometry frames; identify duplicate points in at least one of the two or more geometry frames based on the identified depth values of the corresponding pixels in the two or more geometry frames; and remove or ignore the identified duplicate points while reconstructing the 3D point cloud data.
Abstract:
A electronic device includes a display and at least one processor. The processor is configured to acquire an image and metadata related to the image. The processor is also configured to identify at least a portion of the image to be enhanced based on the metadata related to the image. The processor is also configured to generate an enhanced image by increasing an intensity of the at least a portion of the image. The processor is also configured to output the enhanced image to the display.
Abstract:
A user equipment includes a transceiver and a decoder. The transceiver is configured to receive an encoded bitstream of video. The decoder includes processing circuitry. The decoder is configured to identify a first intra mode associated with a top prediction unit (PU) in relation to a current PU of the encoded bitstream of video. The decoder is also configured to identify a second intra mode associated with a left PU in relation to the current PU. The decoder is also configured to determine a plurality of most probable modes (MPMs) based on the first intra mode and the second intra mode, wherein a number of modes is greater than thirty-five.
Abstract:
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The disclosure provides a method and device for providing volumetric conversational service.
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.