{"id":"https://openalex.org/W4205502092","doi":"https://doi.org/10.1145/3491396.3506523","title":"A Fast Light Baking System for Mobile VR Game Based on Edge Computing Framework","display_name":"A Fast Light Baking System for Mobile VR Game Based on Edge Computing Framework","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4205502092","doi":"https://doi.org/10.1145/3491396.3506523"},"language":"en","primary_location":{"id":"doi:10.1145/3491396.3506523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491396.3506523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM International Conference on Intelligent Computing and its Emerging Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101473697","display_name":"Cheng Ma","orcid":"https://orcid.org/0000-0002-9834-5685"},"institutions":[{"id":"https://openalex.org/I4210150411","display_name":"Shandong Youth University of Political Science","ror":"https://ror.org/04bwp4t29","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210150411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ma Cheng","raw_affiliation_strings":["School of Information Engineering, Shandong Youth University of Political Science, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shandong Youth University of Political Science, China","institution_ids":["https://openalex.org/I4210150411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100364381","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0001-6345-3873"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Lu","raw_affiliation_strings":["Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101473697"],"corresponding_institution_ids":["https://openalex.org/I4210150411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17513072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"176","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9976000189781189,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9976000189781189,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9972000122070312,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8631882667541504},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.666161298751831},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6083318591117859},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5691897869110107},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5627374053001404},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5408409833908081},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.45691853761672974},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.44623643159866333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4331511855125427},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4147043824195862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34150660037994385},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.31652235984802246},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18933966755867004},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10070070624351501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8631882667541504},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.666161298751831},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6083318591117859},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5691897869110107},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5627374053001404},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5408409833908081},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.45691853761672974},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.44623643159866333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4331511855125427},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4147043824195862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34150660037994385},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.31652235984802246},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18933966755867004},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10070070624351501}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3491396.3506523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491396.3506523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM International Conference on Intelligent Computing and its Emerging Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1984850937","https://openalex.org/W2015694181","https://openalex.org/W2040093013","https://openalex.org/W2071553886","https://openalex.org/W2113288858","https://openalex.org/W2130776059","https://openalex.org/W2153577057","https://openalex.org/W2946229200","https://openalex.org/W2955561092","https://openalex.org/W2965926329","https://openalex.org/W3080202818","https://openalex.org/W3195462390","https://openalex.org/W3207187032","https://openalex.org/W4210697527","https://openalex.org/W4238193180","https://openalex.org/W6609148394"],"related_works":["https://openalex.org/W2397912953","https://openalex.org/W2124439461","https://openalex.org/W2099004500","https://openalex.org/W4206603469","https://openalex.org/W4388994528","https://openalex.org/W2077708435","https://openalex.org/W4376115546","https://openalex.org/W1992884771","https://openalex.org/W4281488350","https://openalex.org/W2093369918"],"abstract_inverted_index":{"Metaverse":[0],"development":[1],"has":[2,62],"often":[3],"focused":[4],"on":[5,21],"bettering":[6],"virtual":[7,17],"reality":[8],"technologies":[9],"due":[10],"to":[11,47,79,90,119,121,133,138,151,176],"benefits":[12],"in":[13,16],"establishing":[14],"immersion":[15],"environment1.":[18],"Its":[19],"dependency":[20],"VR":[22,49,58,67],"technology":[23],"brings":[24],"limitations":[25],"including":[26],"the":[27,41,88,110,135,163,179,204],"lack":[28,34],"of":[29,35,109,206],"high-quality":[30],"graphics":[31],"and":[32,72,82,86],"a":[33,53,128,141],"mobility.":[36],"The":[37,75,107,184,201],"mobile":[38,57,161,207],"platform":[39],"is":[40,52,78,113,182,203],"most":[42],"prevalent":[43],"interface":[44],"for":[45,196],"users":[46],"gain":[48],"experience.":[50],"There":[51],"big":[54],"challenge":[55],"that":[56,114,188],"must":[59],"face:":[60],"it":[61,214],"limited":[63],"computing":[64,131,223],"power,":[65],"but":[66],"requires":[68],"high":[69,104],"rendering":[70,105],"speed":[71],"image":[73,181],"quality.":[74],"traditional":[76,111],"solution":[77],"complete":[80],"lighting":[81],"shading":[83],"computation":[84],"offline":[85],"bake":[87,152],"result":[89],"light":[91,155,164],"map.":[92],"Thus,":[93],"only":[94],"texture":[95],"lookups":[96],"are":[97,166],"needed":[98],"at":[99,157],"runtime":[100],"which":[101],"allows":[102],"very":[103],"speed.":[106],"problem":[108],"baking":[112,136],"they":[115],"usually":[116],"take":[117],"seconds":[118],"minutes":[120],"finish.":[122],"In":[123],"this":[124],"paper,":[125],"we":[126,217],"introduce":[127],"novel":[129],"edge":[130,158,222],"framework":[132,224],"reduce":[134],"time":[137],"less":[139],"than":[140],"second.":[142],"Our":[143],"method":[144,190],"uses":[145],"reservoir-based":[146],"spatiotemporal":[147],"importance":[148],"resampling":[149],"(ReSTIR)":[150],"low":[153],"resolution":[154,170],"maps":[156,165],"server.":[159],"At":[160],"side,":[162],"enlarged":[167],"using":[168],"super":[169,211],"technique.":[171],"We":[172],"also":[173],"use":[174],"denoiser":[175],"make":[177],"sure":[178],"baked":[180],"noise-free.":[183],"experimental":[185],"results":[186],"show":[187],"our":[189,220],"can":[191,218],"have":[192],"near":[193],"real-time":[194],"performance":[195],"scene":[197],"with":[198],"average":[199],"complexity.":[200],"bottleneck":[202],"bandwidth":[205],"device":[208],"when":[209],"performing":[210],"resolution.":[212],"Once":[213],"gets":[215],"improved,":[216],"expect":[219],"entire":[221],"becomes":[225],"real-time.":[226]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}