{"id":"https://openalex.org/W7084029930","doi":"https://doi.org/10.1109/icc52391.2025.11161618","title":"Accelerating Real-Time Multi-View Edge Video Analytics with Spatial-Temporal Correlation","display_name":"Accelerating Real-Time Multi-View Edge Video Analytics with Spatial-Temporal Correlation","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W7084029930","doi":"https://doi.org/10.1109/icc52391.2025.11161618"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on 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":null,"display_name":"Jiachen Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiachen Sun","raw_affiliation_strings":["Beijing University of Posts and Telecommunications (BUPT),Beijing Key Laboratory of Space-ground Interconnection and Convergence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications (BUPT),Beijing Key Laboratory of Space-ground Interconnection and Convergence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications (BUPT),Beijing Key Laboratory of Space-ground Interconnection and Convergence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications (BUPT),Beijing Key Laboratory of Space-ground Interconnection and Convergence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yinglei Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglei Teng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications (BUPT),Beijing Key Laboratory of Space-ground Interconnection and Convergence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications (BUPT),Beijing Key Laboratory of Space-ground Interconnection and Convergence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6162245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"850","last_page":"855"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12232","display_name":"Yersinia bacterium, plague, ectoparasites research","score":0.34769999980926514,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12232","display_name":"Yersinia bacterium, plague, ectoparasites research","score":0.34769999980926514,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10815","display_name":"Parasite Biology and Host Interactions","score":0.2971000075340271,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10296","display_name":"Vector-borne infectious diseases","score":0.07029999792575836,"subfield":{"id":"https://openalex.org/subfields/2405","display_name":"Parasitology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49129998683929443},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4862000048160553},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4593999981880188},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.448199987411499},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.38350000977516174},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.37929999828338623},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.3718000054359436},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.3644999861717224},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.36390000581741333},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.3479999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051000237464905},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4593999981880188},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.448199987411499},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43639999628067017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4032999873161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38999998569488525},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.36390000581741333},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3361999988555908},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3215999901294708},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.31209999322891235},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.28049999475479126},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":10,"referenced_works":["https://openalex.org/W2141822239","https://openalex.org/W2594560857","https://openalex.org/W3010243247","https://openalex.org/W3107147550","https://openalex.org/W4225885319","https://openalex.org/W4285196058","https://openalex.org/W4295308621","https://openalex.org/W4312279024","https://openalex.org/W4317892524","https://openalex.org/W4396886469"],"related_works":[],"abstract_inverted_index":{"Advances":[0],"in":[1],"edge":[2,67],"computing":[3],"and":[4,16,28,48,102,116,125,133],"video":[5,29,38,68,76],"analytics":[6,39],"are":[7],"driving":[8],"the":[9,20,99,120,130,145,156,180],"widespread":[10],"use":[11],"of":[12,148],"real-time":[13],"IoT-based":[14],"sensing":[15],"monitoring":[17],"systems":[18],"at":[19],"network":[21,50],"edge.":[22],"However,":[23],"as":[24],"camera":[25],"clusters":[26],"expand":[27],"resolutions":[30],"increase,":[31],"meeting":[32],"stringent":[33],"response":[34],"time":[35],"requirements":[36],"for":[37,65,112,159],"is":[40],"increasingly":[41],"challenging":[42],"due":[43],"to":[44,78,92],"limited":[45],"computational":[46,100],"resources":[47],"variable":[49],"bandwidth.":[51],"To":[52,128],"address":[53],"these":[54],"challenges,":[55],"we":[56,107,136],"propose":[57,137],"a":[58,138],"spatial-temporal":[59],"feature-aware":[60],"node":[61,114],"selection":[62,115],"scheme":[63,141,171],"designed":[64],"multi-view":[66],"analytics.":[69],"Our":[70],"approach":[71],"leverages":[72],"spatial":[73],"redundancy":[74],"across":[75],"feeds":[77],"dynamically":[79],"select":[80],"specific":[81],"processing":[82],"nodes,":[83],"while":[84,177],"exploiting":[85],"temporal":[86,134],"correlations":[87],"from":[88],"prior":[89],"frame":[90,95],"detection":[91],"guide":[93],"subsequent":[94],"analysis,":[96],"thereby":[97],"reducing":[98,179],"load":[101],"enhancing":[103],"system":[104],"efficiency.":[105],"Furthermore,":[106],"formulate":[108],"an":[109],"optimization":[110,140],"problem":[111],"joint":[113],"resource":[117],"allocation,":[118],"balancing":[119],"trade-off":[121],"between":[122],"end-to-end":[123],"latency":[124],"inference":[126,175],"accuracy.":[127],"tackle":[129],"complex":[131],"coupling":[132],"correlation,":[135],"two-stage":[139],"(PPO-LAG),":[142],"that":[143,168],"resolves":[144],"action":[146],"dimensionality":[147],"Proximal":[149],"Policy":[150],"Optimization":[151],"(PPO)":[152],"through":[153],"iteratively":[154],"applying":[155],"Lagrange":[157],"multiplier":[158],"interresource":[160],"allocation.":[161],"Experimental":[162],"results":[163],"on":[164],"Wildtrack":[165],"dataset":[166],"show":[167],"our":[169],"proposed":[170],"comparatively":[172],"achieves":[173],"higher":[174],"accuracy":[176],"adaptively":[178],"total":[181],"latency.":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}