{"id":"https://openalex.org/W4386260572","doi":"https://doi.org/10.1109/infocom53939.2023.10229105","title":"OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos","display_name":"OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4386260572","doi":"https://doi.org/10.1109/infocom53939.2023.10229105"},"language":"en","primary_location":{"id":"doi:10.1109/infocom53939.2023.10229105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom53939.2023.10229105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","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/A5092460727","display_name":"Miao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Miao Zhang","raw_affiliation_strings":["Simon Fraser University,School of Computing Science,Canada","School of Computing Science, Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Computing Science,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000882682","display_name":"Yifei Zhu","orcid":"https://orcid.org/0000-0003-4352-6507"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Medianet Innovation Center (CMIC),China","Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Medianet Innovation Center (CMIC),China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]},{"raw_affiliation_string":"Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031884708","display_name":"Linfeng Shen","orcid":"https://orcid.org/0000-0003-4410-4779"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Linfeng Shen","raw_affiliation_strings":["Simon Fraser University,School of Computing Science,Canada","School of Computing Science, Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Computing Science,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686970","display_name":"Fangxin Wang","orcid":"https://orcid.org/0000-0003-2559-045X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxin Wang","raw_affiliation_strings":["The Chinese University of Hong Kong,SSE and FNii,Shenzhen,China","Peng Cheng Laboratory, Shenzhen, China","SSE and FNii, The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,SSE and FNii,Shenzhen,China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"SSE and FNii, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039311485","display_name":"Jiangchuan Liu","orcid":"https://orcid.org/0000-0001-6592-1984"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiangchuan Liu","raw_affiliation_strings":["Simon Fraser University,School of Computing Science,Canada","School of Computing Science, Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Computing Science,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5092460727"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":0.7369,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7286572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9990000128746033,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9990000128746033,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983999729156494,"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":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.8488628268241882},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6021502017974854},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5390685200691223},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5186237692832947},{"id":"https://openalex.org/keywords/situation-awareness","display_name":"Situation awareness","score":0.5089356899261475},{"id":"https://openalex.org/keywords/resource-consumption","display_name":"Resource consumption","score":0.4751020669937134},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.46306082606315613},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.43825969099998474},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.43428391218185425},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.42395567893981934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3957139551639557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3479018211364746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3442305326461792},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3037257790565491},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11797690391540527},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1161993145942688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8488628268241882},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6021502017974854},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5390685200691223},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5186237692832947},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.5089356899261475},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.4751020669937134},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.46306082606315613},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.43825969099998474},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.43428391218185425},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.42395567893981934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3957139551639557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3479018211364746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3442305326461792},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3037257790565491},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11797690391540527},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1161993145942688},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom53939.2023.10229105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom53939.2023.10229105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4300000071525574,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320995","display_name":"Canada Foundation for Innovation","ror":"https://ror.org/000az4664"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2086168649","https://openalex.org/W2113195911","https://openalex.org/W2599379624","https://openalex.org/W2678047256","https://openalex.org/W2792220137","https://openalex.org/W2798665861","https://openalex.org/W2872933037","https://openalex.org/W2885829265","https://openalex.org/W2887117815","https://openalex.org/W2895696451","https://openalex.org/W2896840651","https://openalex.org/W2951333013","https://openalex.org/W2963339238","https://openalex.org/W2964306713","https://openalex.org/W2968289224","https://openalex.org/W2972871493","https://openalex.org/W2979485822","https://openalex.org/W2997462482","https://openalex.org/W3009259128","https://openalex.org/W3034515714","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3147954149","https://openalex.org/W3153159028","https://openalex.org/W3163860985","https://openalex.org/W3180134609","https://openalex.org/W3180315079","https://openalex.org/W3191321386","https://openalex.org/W3213458668","https://openalex.org/W4288348249","https://openalex.org/W6639102338","https://openalex.org/W6735636592","https://openalex.org/W6753991380","https://openalex.org/W6762481227","https://openalex.org/W6764330927"],"related_works":["https://openalex.org/W3024912289","https://openalex.org/W2415747217","https://openalex.org/W2143767096","https://openalex.org/W2561023719","https://openalex.org/W4382644910","https://openalex.org/W2094708502","https://openalex.org/W1542973883","https://openalex.org/W3160664167","https://openalex.org/W2893963003","https://openalex.org/W2732621488"],"abstract_inverted_index":{"With":[0],"the":[1,9,45,71,109,123,159,178,183],"reduced":[2],"hardware":[3],"costs":[4],"of":[5,11,78,96,134,186],"omnidirectional":[6],"cameras":[7],"and":[8,17,38,67,74,112,139],"proliferation":[10],"various":[12],"extended":[13],"reality":[14],"applications,":[15],"more":[16,18],"360\u00b0":[19,80,88,106,146],"videos":[20],"are":[21],"being":[22],"captured.":[23],"To":[24],"fully":[25],"unleash":[26],"their":[27],"potential,":[28],"advanced":[29],"video":[30,60,110],"analytics":[31],"is":[32],"expected":[33],"to":[34,101,121,154],"extract":[35],"actionable":[36],"insights":[37,86],"situational":[39],"knowledge":[40],"without":[41],"blind":[42],"spots":[43],"from":[44],"videos.":[46,81,147],"In":[47],"this":[48],"paper,":[49],"we":[50],"present":[51],"OmniSense,":[52],"a":[53,92,132],"novel":[54],"edge-assisted":[55],"framework":[56],"for":[57],"online":[58],"immersive":[59],"analytics.":[61],"OmniSense":[62,90,135],"achieves":[63],"both":[64],"low":[65],"latency":[66],"high":[68],"accuracy,":[69],"combating":[70],"significant":[72],"computation":[73],"network":[75,113],"resource":[76,128],"challenges":[77],"analyzing":[79],"Motivated":[82],"by":[83,161],"our":[84],"measurement":[85],"into":[87],"videos,":[89],"introduces":[91],"lightweight":[93],"spherical":[94],"region":[95],"interest":[97],"(SRoI)":[98],"prediction":[99],"algorithm":[100],"prune":[102],"redundant":[103],"information":[104],"in":[105],"frames.":[107],"Incorporating":[108],"content":[111],"dynamics,":[114],"it":[115,141,157,170],"then":[116],"smartly":[117],"scales":[118],"vision":[119],"models":[120],"analyze":[122],"predicted":[124],"SRoIs":[125],"with":[126,136,165,182],"optimized":[127],"utilization.":[129],"We":[130],"implement":[131],"prototype":[133],"commodity":[137],"devices":[138],"evaluate":[140],"on":[142,180],"diverse":[143],"real-world":[144],"collected":[145],"Extensive":[148],"evaluation":[149],"results":[150],"show":[151],"that":[152],"compared":[153],"resource-agnostic":[155],"baselines,":[156],"improves":[158],"accuracy":[160,179,185],"19.8%":[162],"\u2013":[163,173],"114.6%":[164],"similar":[166],"end-to-end":[167],"latencies.":[168],"Meanwhile,":[169],"hits":[171],"2.0\u00d7":[172],"2.4\u00d7":[174],"speedups":[175],"while":[176],"keeping":[177],"par":[181],"highest":[184],"baselines.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
