# US 12,120,328 B2 · Transmission device of point cloud data and method performed by transmission device, and reception device of point cloud data and method performed by reception device > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,120,328 B2 - Document ID: US12120328B2 - Status: Granted - Kind: B2 - Application number: 17/855,472 - Filed: 2022-06-30 - Published: 2023-01-19 - Granted: 2024-10-15 - Earliest claimed: 2021-07-03 - Assignees: LG Electronics Inc. - Applicants: LG Electronics Inc. - Inventors: Hendry Hendry; Jong Yeul Suh; Jin Won Lee; Seung Hwan Kim - Web page: https://patentgrep.com/patent/US12120328B2 ## CPC - H04N 19/31: in the temporal domain - G06T 9/001: {Model-based coding, e.g. wire frame} - H04N 19/132: Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking - H04N 19/136: Incoming video signal characteristics or properties - H04N 19/597: specially adapted for multi-view video sequence encoding - H04N 19/70: characterised by syntax aspects related to video coding, e.g. related to compression standards - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract A transmission device of point cloud data and method performed by the transmission device, and a reception device and a method performed by the reception device are provided. A method performed by a reception device of point cloud data comprises acquiring geometry-based point cloud compression (G-PCC) file including the point cloud data, wherein the G-PCC file includes information on a sample group in which samples in the G-PCC file are grouped based on one or more temporal levels and wherein the G-PCC file further includes information on the temporal levels, and extracting one or more samples belonging to a target temporal level from the samples in the G-PCC file based on the information on the sample group and the information on the temporal levels. ## Claims ### Claim 1 A method performed by a reception device of point cloud data, the method comprising: obtaining geometry-based point cloud compression (G-PCC) file including the point cloud data; and wherein the G-PCC file includes information on a sample group in which samples in the G-PCC file are grouped based on one or more temporal levels, and wherein the G-PCC file further includes information on the temporal levels, extracting one or more samples belonging to a target temporal level from the samples in the G-PCC file based on the information on the sample group and the information on the temporal levels, wherein the information on the temporal levels comprises number information indicating a number of temporal levels and temporal level identification information for identifying the temporal levels. ### Claim 2 (depends on 1) The method of claim 1, wherein the number information further indicates temporal scalability of the samples in the G-PCC file. ### Claim 3 (depends on 2) The method of claim 2, wherein the number information indicates the number of temporal levels based on a value of the number information being greater than a first value, and wherein the number information indicates temporal scalability of the samples in the G-PCC file based on the value of the number information being equal to or less than the first value. ### Claim 4 (depends on 1) The method of claim 1, wherein, based on the G-PCC file being carried by multiple tracks the information on the sample group is present in a geometry track carrying geometry data of the point cloud data among the multiple tracks. ### Claim 5 (depends on 4) The method of claim 4, wherein a temporal level of one or more samples present in an attribute track is equal to a temporal level of a corresponding sample in the geometry track, and wherein the attribute track carries attribute data of the point cloud data among the multiple tracks. ### Claim 6 (depends on 1) The method of claim 1, wherein the information on the temporal levels comprises frame rate information indicating a frame rate of the temporal levels, and wherein the extracting comprises extracting one or more samples corresponding to a target frame rate among the samples in the G-PCC file. ### Claim 7 (depends on 6) The method of claim 6, wherein the information on the temporal levels comprises frame rate presence information indicating whether the frame rate information is present, and wherein the frame rate information is included in the information on the temporal levels based on the frame rate presence information indicating the presence of the frame rate information. ### Claim 8 (depends on 6) The method of claim 6, wherein the temporal levels comprise a first temporal level and a second temporal level having a level value greater than the first temporal level, a smallest composition time difference between consecutive samples in the second temporal level is equal to a smallest composition time difference between consecutive samples in the first temporal level or is greater than the smallest composition time difference between the consecutive samples in the first temporal level. ### Claim 9 (depends on 1) The method of claim 1, wherein the information on the temporal levels has the same value as corresponding information in a geometry track referenced by the current track based on the type of a component carried by the current track being an attribute of the point cloud data. ### Claim 10 (depends on 9) The method of claim 9, wherein the information on the temporal levels has the same value as corresponding information in a geometry track referenced by the current track based on the type of the component being the attribute of the point cloud data and a type of a sample entry of the current track being a predetermined sample entry type. ### Claim 11 (depends on 10) The method of claim 10, wherein the predetermined sample entry type comprises one or more of a gpc1 sample entry type or a gpcg sample entry type. ### Claim 12 A reception device of point cloud data, the reception device comprising: a memory; and at least one processor, wherein the at least one processor is configured to: obtain geometry-based point cloud compression (G-PCC) file including the point cloud data, and wherein the G-PCC file includes information on a sample group in which samples in the G-PCC file are grouped based on one or more temporal levels, and wherein the G-PCC file further includes information on the temporal levels, extract one or more samples belonging to a target temporal level from the samples in the G-PCC file based on the information on the sample group and the information on the temporal levels, wherein the information on the temporal levels comprises number information indicating a number of temporal levels and temporal level identification information for identifying the temporal levels. ### Claim 13 A method performed by a transmission device of point cloud data, the method comprising: generating information on a sample group in which geometry-based point cloud compression (G-PCC) samples are grouped based on one or more temporal levels, and generating a G-PCC file including the information on the sample group, the information on the temporal levels and the point cloud data, wherein the information on the temporal levels comprises number information indicating a number of temporal levels and temporal level identification information for identifying the temporal levels. ### Claim 14 A transmission device of point cloud data, the transmission device comprising: a memory; and at least one processor, wherein the at least one processor is configured to: generate information on a sample group in which geometry-based point cloud compression (G-PCC) samples are grouped based on one or more temporal levels, and generate a G-PCC file including the information on the sample group, the information on the temporal levels and the point cloud data, wherein the information on the temporal levels comprises number information indicating a number of temporal levels and temporal level identification information for identifying the temporal levels.