A picture may be divided into sub-pictures/slices/tiles. For example, the picture may be divided into sub-picture(s), and subpicture-related information may be used for coding. The sub-picture-related information may be generated by an encoding device and transmitted to a decoding device. According to embodiments of the present document, sub-picture-related information can be efficiently signaled.

A picture may be divided into sub-pictures/slices/tiles. For example, the picture may be divided into sub-picture(s), and subpicture-related information may be used for coding. The sub-picture-related information may be generated by an encoding device and transmitted to a decoding device. According to embodiments of the present document, sub-picture-related information can be efficiently signaled.

This application provides a method for selecting a neighbor point of a current point in a point cloud. The method includes: determining, from point cloud data, a target region where the current point is located, the target region comprising a plurality of points; determining, for at least two decoded target points in the target region, a weight coefficient of each of the at least two target points, the at least two target points not comprising the current point; determining a weight of each of the at least two target points according to the weight coefficient and geometry information of each of the at least two target points and geometry information of the current point; and selecting at least one from the at least two target points according to the weight of each of the at least two target points as the neighbor point of the current point.

This application provides a method for selecting a neighbor point of a current point in a point cloud. The method includes: determining, from point cloud data, a target region where the current point is located, the target region comprising a plurality of points; determining, for at least two decoded target points in the target region, a weight coefficient of each of the at least two target points, the at least two target points not comprising the current point; determining a weight of each of the at least two target points according to the weight coefficient and geometry information of each of the at least two target points and geometry information of the current point; and selecting at least one from the at least two target points according to the weight of each of the at least two target points as the neighbor point of the current point.

Method for compressing a sequence of images comprising a first image and a second image, the method comprising the steps of: generating a first descriptor comprising parameters for displaying a computer-generated graphical element in the first image, the graphical element being of non-photographic origin, and the display parameters not comprising pixel values; processing the second image so as to determine an event which gave rise to a potential variation in the parameters for displaying the graphical element between the first image and the second image; generating a second descriptor comprising an event code indicating the determined event.

A method for intra-prediction of a current block includes selecting peripheral pixels of the current block, where the peripheral pixels are used to generate a prediction block for the current block; for each prediction pixel of the prediction block, performing steps including selecting two respective pixels of the peripheral pixels; and calculating the prediction pixel by interpolating at least the two respective pixels; and coding a residual block corresponding to a difference between the current block and the prediction block.

A method for intra-prediction of a current block includes selecting peripheral pixels of the current block, where the peripheral pixels are used to generate a prediction block for the current block; for each prediction pixel of the prediction block, performing steps including selecting two respective pixels of the peripheral pixels; and calculating the prediction pixel by interpolating at least the two respective pixels; and coding a residual block corresponding to a difference between the current block and the prediction block.

A method of processing video data of a picture is described, the method including: allocating memory for a decoded picture in a decoded picture buffer, DPB, the decoded picture comprising pixels representing video data; receiving a bitstream comprising decoding units, DUs, and storing the DUs in a coded picture buffer, CRB, the DUs representing a coded picture that needs to be decoded into the decoded picture, each of the DUs representing a coded block of pixels; determining if, during decoding of the coded picture, at least one partial output can be performed, the at least one partial output including copying the one or more decoded DUs from the DPB to a data sink, while one or more DUs of the coded picture are not yet decoded and removed the CPB, the one or more decoded DUs representing a part of the decoded picture; and, or performing the at least one partial output if the processor determines that the at least one partial output can be performed, the performing including marking the one or more decoded DUs stored in the DPB as being ready for partial output, the marking signaling the decoder apparatus not to remove the one or more decoded DUs from the DPB; and, copying the one or more marked decoded DUs from the DPB to the data sink without removing the one or more decoded DU from the DPB.

An example device includes one or more processors, and memory storing instructions that when executed by the processors, cause the processors to receive points that represent a point cloud in three-dimensional space, and generate a data structure representing the point cloud. Generating the data structure includes encoding a position of each point in each dimension as a sequence of bits according to a tree data structure; partitioning each of the sequences into two or more portions according to a scaling depth; determining that a subset of the points is spatially isolated from a remainder of the points; quantizing each of the portions associated with the subset of the points according to a first quantization step size; quantizing each of the portions associated with the remainder of the points according to a second quantization step size; and including the quantized portions in the data structure.

An example device includes one or more processors, and memory storing instructions that when executed by the processors, cause the processors to receive points that represent a point cloud in three-dimensional space, and generate a data structure representing the point cloud. Generating the data structure includes encoding a position of each point in each dimension as a sequence of bits according to a tree data structure; partitioning each of the sequences into two or more portions according to a scaling depth; determining that a subset of the points is spatially isolated from a remainder of the points; quantizing each of the portions associated with the subset of the points according to a first quantization step size; quantizing each of the portions associated with the remainder of the points according to a second quantization step size; and including the quantized portions in the data structure.