{"id":"https://openalex.org/W4416479524","doi":"https://doi.org/10.1145/3680207.3765260","title":"Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices","display_name":"Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4416479524","doi":"https://doi.org/10.1145/3680207.3765260"},"language":"en","primary_location":{"id":"doi:10.1145/3680207.3765260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680207.3765260","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765260","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765260","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037145215","display_name":"Guilherme Henrique Apostolo","orcid":"https://orcid.org/0000-0001-7833-7752"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Guilherme Henrique Apostolo","raw_affiliation_strings":["Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091147312","display_name":"Pablo Bauszat","orcid":"https://orcid.org/0009-0005-8512-3089"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Pablo Bauszat","raw_affiliation_strings":["Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005067086","display_name":"Vinod Nigade","orcid":"https://orcid.org/0000-0001-9020-555X"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Vinod Nigade","raw_affiliation_strings":["Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055231636","display_name":"Henri E. Bal","orcid":"https://orcid.org/0000-0001-9827-4461"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Henri E. Bal","raw_affiliation_strings":["Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Vrije Universiteit Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403099","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0001-7181-6128"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Department of Computer Science, Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037145215"],"corresponding_institution_ids":["https://openalex.org/I865915315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36676191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1000","last_page":"1014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.2802000045776367,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.2802000045776367,"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":0.09669999778270721,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.08150000125169754,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/analytics","display_name":"Analytics","score":0.7071999907493591},{"id":"https://openalex.org/keywords/dynamism","display_name":"Dynamism","score":0.4555000066757202},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4291999936103821},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4180000126361847},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3801000118255615},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3695000112056732},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.3529999852180481},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.3407999873161316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871999740600586},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7071999907493591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.580299973487854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558899998664856},{"id":"https://openalex.org/C2775836275","wikidata":"https://www.wikidata.org/wiki/Q3502310","display_name":"Dynamism","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4291999936103821},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4180000126361847},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C2987320957","wikidata":"https://www.wikidata.org/wiki/Q2041172","display_name":"Speed measurement","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3255999982357025},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C2988634675","wikidata":"https://www.wikidata.org/wiki/Q34508","display_name":"Video recording","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C2778852477","wikidata":"https://www.wikidata.org/wiki/Q313614","display_name":"Video camera","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C124828224","wikidata":"https://www.wikidata.org/wiki/Q2632668","display_name":"Macroblock","level":3,"score":0.25519999861717224}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3680207.3765260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680207.3765260","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765260","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},{"id":"pmh:oai:research.vu.nl:openaire/8f3bc702-f6b3-463e-af2a-33e04f5419f5","is_oa":false,"landing_page_url":"https://research.vu.nl/en/publications/8f3bc702-f6b3-463e-af2a-33e04f5419f5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Apostolo, G H, Bauszat, P, Nigade, V, Bal, H E & Wang, L 2025, Uirapuru : Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices. in ACM MOBICOM '25: Proceedings of the 31st Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery, Inc, pp. 1000-1014, 31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025, Hong Kong, China, 4/11/25. https://doi.org/10.1145/3680207.3765260","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:2509.01371","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.01371","pdf_url":"https://arxiv.org/pdf/2509.01371","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:research.vu.nl:publications/8f3bc702-f6b3-463e-af2a-33e04f5419f5","is_oa":true,"landing_page_url":"https://hdl.handle.net/1871.1/8f3bc702-f6b3-463e-af2a-33e04f5419f5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Apostolo, G H, Bauszat, P, Nigade, V, Bal, H E & Wang, L 2025, Uirapuru : Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices. in ACM MOBICOM '25: Proceedings of the 31st Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery, Inc, pp. 1000-1014, 31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025, Hong Kong, China, 4/11/25. https://doi.org/10.1145/3680207.3765260","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3680207.3765260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680207.3765260","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765260","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G629491556","display_name":null,"funder_award_id":"(NWO)","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416479524.pdf","grobid_xml":"https://content.openalex.org/works/W4416479524.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W159308319","https://openalex.org/W639708223","https://openalex.org/W2015996585","https://openalex.org/W2050576295","https://openalex.org/W2088298109","https://openalex.org/W2518304558","https://openalex.org/W2887117815","https://openalex.org/W2966313861","https://openalex.org/W2994494428","https://openalex.org/W4312439945","https://openalex.org/W4323042384"],"related_works":[],"abstract_inverted_index":{"Real-time":[0],"video":[1,54,115],"analytics":[2,29,55],"on":[3,27,56,112,127],"high-resolution":[4,57,114],"cameras":[5,65,125],"has":[6,24],"become":[7],"a":[8,48,73,90,106,113],"popular":[9,78],"technology":[10],"for":[11,51,123],"various":[12],"intelligent":[13],"services":[14],"like":[15],"traffic":[16],"control":[17],"and":[18,126],"crowd":[19],"monitoring.":[20],"While":[21],"extensive":[22],"work":[23],"been":[25],"done":[26],"improving":[28],"accuracy":[30,148,163],"with":[31,101,161],"timing":[32],"guarantees,":[33],"virtually":[34],"all":[35],"of":[36,93],"them":[37],"target":[38],"static":[39,167],"viewpoint":[40],"cameras.":[41,59],"In":[42],"this":[43,86],"paper,":[44],"we":[45],"present":[46],"Uirapuru,":[47],"novel":[49],"framework":[50],"real-time,":[52],"edge-based":[53],"steerable":[58,124],"The":[60],"actuation":[61,95],"performed":[62],"by":[63,118],"those":[64],"brings":[66],"significant":[67],"dynamism":[68],"to":[69,76,144,157,165],"the":[70,97],"scene,":[71],"presenting":[72],"critical":[74],"challenge":[75],"existing":[77],"approaches":[79],"such":[80],"as":[81],"frame":[82],"tiling.":[83],"To":[84],"address":[85],"problem,":[87],"Uirapuru":[88,111,141],"incorporates":[89],"comprehensive":[91],"understanding":[92],"camera":[94,168],"into":[96],"system":[98],"design":[99],"paired":[100],"fast":[102],"adaptive":[103],"tiling":[104],"at":[105],"per-frame":[107],"level.":[108],"We":[109],"evaluate":[110],"dataset,":[116],"augmented":[117],"pan-tilt-zoom":[119],"(PTZ)":[120],"movements":[121],"typical":[122],"real-world":[128],"videos":[129],"collected":[130],"from":[131],"an":[132],"actual":[133],"PTZ":[134],"camera.":[135],"Our":[136],"experimental":[137],"results":[138],"show":[139],"that":[140],"provides":[142],"up":[143,156],"1.45\u00d7":[145],"improvement":[146],"in":[147],"while":[149],"respecting":[150],"specified":[151],"latency":[152],"budgets":[153],"or":[154],"reaches":[155],"4.53\u00d7":[158],"inference":[159],"speedup":[160],"on-par":[162],"compared":[164],"state-of-the-art":[166],"approaches.":[169]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}