{"id":"https://openalex.org/W3094082851","doi":"https://doi.org/10.1109/ojcoms.2020.3032608","title":"Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences","display_name":"Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3094082851","doi":"https://doi.org/10.1109/ojcoms.2020.3032608","mag":"3094082851"},"language":"en","primary_location":{"id":"doi:10.1109/ojcoms.2020.3032608","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2020.3032608","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8816718/09234536.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/8782661/8816718/09234536.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005953865","display_name":"Xueshi Hou","orcid":"https://orcid.org/0000-0003-3083-7656"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xueshi Hou","raw_affiliation_strings":["Mobile Systems Design Lab, University of California at San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3083-7656","affiliations":[{"raw_affiliation_string":"Mobile Systems Design Lab, University of California at San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105369696","display_name":"Sujit Dey","orcid":"https://orcid.org/0000-0001-9671-3950"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujit Dey","raw_affiliation_strings":["Mobile Systems Design Lab, University of California at San Diego, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile Systems Design Lab, University of California at San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005953865"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":2.6479,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.91812265,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"1","issue":null,"first_page":"1674","last_page":"1690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.6772476434707642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6465641260147095},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5628716349601746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3917994797229767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38009113073349},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3303547501564026},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11898592114448547}],"concepts":[{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.6772476434707642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6465641260147095},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5628716349601746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3917994797229767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38009113073349},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3303547501564026},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11898592114448547}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcoms.2020.3032608","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2020.3032608","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8816718/09234536.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f28ad00b932434ea7c1b6c8e801d453","is_oa":true,"landing_page_url":"https://doaj.org/article/3f28ad00b932434ea7c1b6c8e801d453","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Communications Society, Vol 1, Pp 1674-1690 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcoms.2020.3032608","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2020.3032608","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782661/8816718/09234536.pdf","source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337697","display_name":"Center for Wireless Communications, University of California, San Diego","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094082851.pdf","grobid_xml":"https://content.openalex.org/works/W3094082851.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W2040378481","https://openalex.org/W2051530877","https://openalex.org/W2150823344","https://openalex.org/W2157331557","https://openalex.org/W2424778531","https://openalex.org/W2468651315","https://openalex.org/W2510185399","https://openalex.org/W2523094016","https://openalex.org/W2585813514","https://openalex.org/W2594167370","https://openalex.org/W2624991012","https://openalex.org/W2755405751","https://openalex.org/W2762989410","https://openalex.org/W2838572662","https://openalex.org/W2887247171","https://openalex.org/W2928088097","https://openalex.org/W2949461735","https://openalex.org/W2963001155","https://openalex.org/W2963677766","https://openalex.org/W2964203186","https://openalex.org/W3010176333","https://openalex.org/W3091747220","https://openalex.org/W6738279954"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"As":[0],"virtual":[1],"reality":[2],"(VR)":[3],"applications":[4],"become":[5],"popular,":[6],"the":[7,22,29,33,37,42,49,55,62,73,84,91,100,115,163,207],"desire":[8],"to":[9,36,45,52,96,99,125],"enable":[10],"high-quality,":[11],"lightweight,":[12],"and":[13,25,31,59,89,128,139,165,175,195,213,217,228],"mobile":[14],"VR":[15,23,38,67,92,102,122,135,156],"can":[16,86,113,151],"potentially":[17],"be":[18,46,70,97],"achieved":[19],"by":[20,72],"performing":[21],"rendering":[24,43],"encoding":[26],"computations":[27],"at":[28],"edge":[30,50,81,85,157],"streaming":[32],"rendered":[34],"video":[35,93],"glasses.":[39],"However,":[40],"if":[41],"has":[44],"performed":[47],"after":[48],"gets":[51],"know":[53],"of":[54,66,119,160,168,222],"user\u2019s":[56],"new":[57],"head":[58,138,164,174,202,227],"body":[60,140,166,176,192,229],"position,":[61],"ultra-low":[63],"latency":[64],"requirements":[65],"will":[68],"not":[69,143],"met":[71],"roundtrip":[74],"delay.":[75],"In":[76,179],"this":[77,180],"article,":[78,181],"we":[79,182],"introduce":[80],"intelligence,":[82],"wherein":[83],"predict,":[87],"pre-render":[88],"cache":[90],"in":[94],"advance,":[95],"streamed":[98],"user":[101,170],"glasses":[103],"as":[104,106],"soon":[105],"needed.":[107],"The":[108],"edge-based":[109],"predictive":[110],"pre-rendering":[111],"approach":[112],"address":[114],"challenging":[116],"six":[117],"Degrees":[118],"Freedom":[120],"(6DoF)":[121],"content.":[123],"Compared":[124],"360-degree":[126],"videos":[127],"3DoF":[129],"(head":[130],"motion":[131,177,193,203,210],"only)":[132],"VR,":[133],"6DoF":[134],"supports":[136],"both":[137,162],"motion,":[141],"thus":[142],"only":[144],"viewing":[145,149],"direction":[146],"but":[147],"also":[148],"position":[150],"change.":[152],"Hence,":[153],"our":[154],"proposed":[155],"intelligence":[158],"comprises":[159],"predicting":[161],"motions":[167],"a":[169,184,196,220],"accurately":[171],"using":[172,219],"past":[173],"traces.":[178],"develop":[183],"multi-task":[185],"long":[186],"short-term":[187],"memory":[188],"(LSTM)":[189],"model":[190,200],"for":[191,201,226],"prediction":[194,211],"multi-layer":[197],"perceptron":[198],"(MLP)":[199],"prediction.":[204],"We":[205],"implement":[206],"deep":[208],"learning-based":[209],"models":[212],"validate":[214],"their":[215],"accuracy":[216],"effectiveness":[218],"dataset":[221],"over":[223],"840,000":[224],"samples":[225],"motion.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
