{"title":"通过 HTTP/2 传输点云流","authors":"Estabraq H. Makiyah, Nassr N. Kliamees","doi":"10.1109/commnet60167.2023.10365247","DOIUrl":null,"url":null,"abstract":"Point clouds with high density have been drawing attention for expressing attractive 3D visuals. Since these volumetric huge media need extensive bandwidth allocation, it would be problematic to stream to devices with restrained resources. In this paper, we propose the techniques of point cloud compression and streaming for large point clouds using a web server. To achieve reliability of streaming HTTP/2, protocol is suggested. Such techniques are built over web server. Storing large point cloud volumetric video in a web server allows users to present their data sets to the public without having to use additional applications or to send large volume data beforehand. HTTP/2 increases transmission efficiency by compressing headers in a binary format, and lowers latency by using one TCP session for sending many multiplexed requests. Our proposed system achieves lower average latency between successive frames resulting of an increased frame rate to 72.46 fps when streaming 4M points, 82.51 and 61 fps streaming 800K points compared to much lower rates in conventional work.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"16 11","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Point Cloud Streaming over HTTP/2\",\"authors\":\"Estabraq H. Makiyah, Nassr N. Kliamees\",\"doi\":\"10.1109/commnet60167.2023.10365247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Point clouds with high density have been drawing attention for expressing attractive 3D visuals. Since these volumetric huge media need extensive bandwidth allocation, it would be problematic to stream to devices with restrained resources. In this paper, we propose the techniques of point cloud compression and streaming for large point clouds using a web server. To achieve reliability of streaming HTTP/2, protocol is suggested. Such techniques are built over web server. Storing large point cloud volumetric video in a web server allows users to present their data sets to the public without having to use additional applications or to send large volume data beforehand. HTTP/2 increases transmission efficiency by compressing headers in a binary format, and lowers latency by using one TCP session for sending many multiplexed requests. Our proposed system achieves lower average latency between successive frames resulting of an increased frame rate to 72.46 fps when streaming 4M points, 82.51 and 61 fps streaming 800K points compared to much lower rates in conventional work.\",\"PeriodicalId\":505542,\"journal\":{\"name\":\"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)\",\"volume\":\"16 11\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/commnet60167.2023.10365247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/commnet60167.2023.10365247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Point clouds with high density have been drawing attention for expressing attractive 3D visuals. Since these volumetric huge media need extensive bandwidth allocation, it would be problematic to stream to devices with restrained resources. In this paper, we propose the techniques of point cloud compression and streaming for large point clouds using a web server. To achieve reliability of streaming HTTP/2, protocol is suggested. Such techniques are built over web server. Storing large point cloud volumetric video in a web server allows users to present their data sets to the public without having to use additional applications or to send large volume data beforehand. HTTP/2 increases transmission efficiency by compressing headers in a binary format, and lowers latency by using one TCP session for sending many multiplexed requests. Our proposed system achieves lower average latency between successive frames resulting of an increased frame rate to 72.46 fps when streaming 4M points, 82.51 and 61 fps streaming 800K points compared to much lower rates in conventional work.