{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T10:17:06Z","timestamp":1775470626540,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key R&D Program of China,","award":["2018YFE0205503"],"award-info":[{"award-number":["2018YFE0205503"]}]},{"name":"111 Project","award":["B18008"],"award-info":[{"award-number":["B18008"]}]},{"name":"Funds for International Cooperation and Exchange of NSFC,","award":["61720106007"],"award-info":[{"award-number":["61720106007"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475624","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T06:09:05Z","timestamp":1634537345000},"page":"3989-3997","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["AITransfer"],"prefix":"10.1145","author":[{"given":"Yakun","family":"Huang","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Yuanwei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Xiuquan","family":"Qiao","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Zhijie","family":"Tan","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Boyuan","family":"Bai","sequence":"additional","affiliation":[{"name":"University of Birmingham, Birmingham, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351061"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3329714.3338130"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488846"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350917"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2895105"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155379"},{"key":"e_1_3_2_2_7_1","article-title":"A lightweight collaborative deep neural network for the mobile web in edge cloud","author":"Huang Yakun","year":"2020","journal-title":"IEEE Transactions on Mobile Computing, early access"},{"key":"e_1_3_2_2_8_1","volume-title":"Point cloud video streaming in 5g systems and beyond: Challenges and solutions","author":"Liu Zhi","year":"2020"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2957853"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2908095"},{"key":"e_1_3_2_2_11_1","first-page":"1","volume-title":"2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)","author":"Chao CAO","year":"2020"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301293.3302358"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162937"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148922"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/3026877.3026899"},{"key":"e_1_3_2_2_16_1","unstructured":"Nreal - building mixed reality for everyone. online [2021]. https:\/\/www.nreal.ai\/.  Nreal - building mixed reality for everyone. online [2021]. https:\/\/www.nreal.ai\/."},{"key":"e_1_3_2_2_17_1","unstructured":"Microsoft hololens. mixed reality technology for business. online [2021]. https:\/\/www.microsoft.com\/en-us\/hololens.  Microsoft hololens. mixed reality technology for business. online [2021]. https:\/\/www.microsoft.com\/en-us\/hololens."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295263"},{"key":"e_1_3_2_2_19_1","first-page":"7203","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Li Ruihui","year":"2019"},{"key":"e_1_3_2_2_20_1","volume-title":"Deep magnification-arbitrary upsampling over 3d point clouds. arXiv preprint arXiv:2011.12745","author":"Qian Yue","year":"2020"},{"key":"e_1_3_2_2_21_1","first-page":"2790","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Yu Lequan","year":"2018"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/2386388.2386404"},{"key":"e_1_3_2_2_24_1","unstructured":"Draco 3d graphics compression. online[2021]. https:\/\/google.github.io\/draco\/.  Draco 3d graphics compression. online[2021]. https:\/\/google.github.io\/draco\/."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803413"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386293.3397112"},{"key":"e_1_3_2_2_27_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.718487"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2451236.2451246"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/602099.602123"},{"key":"e_1_3_2_2_31_1","unstructured":"Azure kinect dk. online [2021]. https:\/\/azure.microsoft.com\/en-us\/services\/kinect-dk\/.  Azure kinect dk. online [2021]. https:\/\/azure.microsoft.com\/en-us\/services\/kinect-dk\/."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"e_1_3_2_2_33_1","volume-title":"Neural Inofrmation Processing Conference: 3D Deep Learning","author":"Brock Andrew","year":"2016"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386901.3396598"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9191021"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3210424.3210429"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2018.8647537"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3380888"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3339825.3393583"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098843"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419185"},{"key":"e_1_3_2_2_44_1","volume-title":"Jan., 2021, doi: 10","author":"Huang Yakun","year":"2000"},{"key":"e_1_3_2_2_45_1","volume-title":"Adaptive rate allocation for view-aware point-cloud streaming. arXiv preprint arXiv:1911.00812","author":"Hosseini Mohammad","year":"2019"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2018.2834736"}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 29th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475624","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475624","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:24Z","timestamp":1750193304000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475624"}},"subtitle":["Progressive AI-powered Transmission for Real-Time Point Cloud Video Streaming"],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":46,"alternative-id":["10.1145\/3474085.3475624","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475624","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]},"assertion":[{"value":"2021-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}