{"id":"https://openalex.org/W2949118995","doi":"https://doi.org/10.1109/tpds.2019.2921956","title":"ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance","display_name":"ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance","publication_year":2019,"publication_date":"2019-06-10","ids":{"openalex":"https://openalex.org/W2949118995","doi":"https://doi.org/10.1109/tpds.2019.2921956","mag":"2949118995"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2019.2921956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2019.2921956","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-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/A5100384525","display_name":"Da Li","orcid":"https://orcid.org/0000-0001-6822-3989"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Li","raw_affiliation_strings":["CRIPAC, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6822-3989","affiliations":[{"raw_affiliation_string":"CRIPAC, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599309","display_name":"Zhang Zhang","orcid":"https://orcid.org/0000-0001-9425-3065"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Zhang","raw_affiliation_strings":["CRIPAC and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","UCAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CRIPAC and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"UCAS, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692616","display_name":"Kai Yu","orcid":"https://orcid.org/0000-0001-6752-6216"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Yu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028693655","display_name":"Kaiqi Huang","orcid":"https://orcid.org/0000-0002-2677-9273"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Huang","raw_affiliation_strings":["CRISE, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2677-9273","affiliations":[{"raw_affiliation_string":"CRISE, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111885963","display_name":"Tieniu Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieniu Tan","raw_affiliation_strings":["CRIPAC and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CRIPAC and NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":1.16,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.79532832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"30","issue":"12","first_page":"2743","last_page":"2758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.8884668350219727},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5636829137802124},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5436789393424988},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49065911769866943},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.463239848613739},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42525720596313477},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4138886630535126},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39151841402053833},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3800695538520813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37737464904785156},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32994094491004944},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23439037799835205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8884668350219727},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5636829137802124},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5436789393424988},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49065911769866943},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.463239848613739},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42525720596313477},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4138886630535126},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39151841402053833},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3800695538520813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37737464904785156},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32994094491004944},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23439037799835205},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2019.2921956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2019.2921956","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4973174841","display_name":null,"funder_award_id":"2016YFB1001005","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6631052368","display_name":null,"funder_award_id":"61473290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1488524902","https://openalex.org/W1576760065","https://openalex.org/W1598357442","https://openalex.org/W1912392457","https://openalex.org/W1977814411","https://openalex.org/W1983927101","https://openalex.org/W1990500325","https://openalex.org/W2012184117","https://openalex.org/W2013138746","https://openalex.org/W2052569240","https://openalex.org/W2056971250","https://openalex.org/W2060208900","https://openalex.org/W2079480959","https://openalex.org/W2081612620","https://openalex.org/W2085161844","https://openalex.org/W2096343094","https://openalex.org/W2102625004","https://openalex.org/W2105947650","https://openalex.org/W2119738171","https://openalex.org/W2130593421","https://openalex.org/W2131166445","https://openalex.org/W2131975293","https://openalex.org/W2140235142","https://openalex.org/W2143853136","https://openalex.org/W2147953023","https://openalex.org/W2150414161","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2173213060","https://openalex.org/W2185000319","https://openalex.org/W2189465200","https://openalex.org/W2193011350","https://openalex.org/W2271840356","https://openalex.org/W2316303256","https://openalex.org/W2324393192","https://openalex.org/W2410968923","https://openalex.org/W2466378217","https://openalex.org/W2466969026","https://openalex.org/W2496819108","https://openalex.org/W2499976956","https://openalex.org/W2511033036","https://openalex.org/W2535173961","https://openalex.org/W2596165978","https://openalex.org/W2613718673","https://openalex.org/W2749203358","https://openalex.org/W2777638777","https://openalex.org/W2803764703","https://openalex.org/W2898491875","https://openalex.org/W2918959024","https://openalex.org/W2963273301","https://openalex.org/W2963574614","https://openalex.org/W2963901085","https://openalex.org/W3103442520","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6634646725","https://openalex.org/W6674238660","https://openalex.org/W6679434643","https://openalex.org/W6679815717","https://openalex.org/W6687322159","https://openalex.org/W6687610946","https://openalex.org/W6694517276","https://openalex.org/W6747133071","https://openalex.org/W6760682567","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991"],"abstract_inverted_index":{"Intelligent":[0,105],"video":[1,41,50,134,199],"surveillance":[2,22,198],"(IVS)":[3],"is":[4,72,138,216],"always":[5],"an":[6,74,104,171],"interesting":[7],"research":[8],"topic":[9],"to":[10,30,35,61,77,145,218,248],"utilize":[11,31],"visual":[12,179,228,250],"analysis":[13,148,180,229,251],"algorithms":[14,230,252],"for":[15,48,131,170],"exploring":[16],"richly":[17],"structured":[18],"information":[19],"from":[20,256],"big":[21],"data.":[23],"However,":[24],"existing":[25],"IVS":[26,68,96],"systems":[27],"either":[28],"struggle":[29],"computing":[32,59,121,129],"resources":[33],"adequately":[34],"improve":[36,249],"the":[37,79,82,89,128,153,156,160,168,220,257,266],"efficiency":[38,154],"of":[39,56,67,81,84,92,95,155,222,226,234,242,259],"large-scale":[40,133,197],"analysis,":[42],"or":[43],"present":[44],"a":[45,57,114,141,196,212,260],"customized":[46],"system":[47,264],"specific":[49],"analytic":[51],"functions.":[52],"It":[53],"still":[54],"lacks":[55],"comprehensive":[58],"architecture":[60],"enhance":[62],"efficiency,":[63],"extensibility":[64],"and":[65,108,118,136,158,189,236,253,262],"flexibility":[66],"system.":[69,97],"Moreover,":[70],"it":[71],"also":[73],"open":[75],"problem":[76,162],"study":[78,159,241],"effect":[80],"combinations":[83],"multiple":[85,227],"vision":[86],"modules":[87,149],"on":[88,113,163,174,195,232],"final":[90],"performance":[91,221],"end":[93,172],"applications":[94],"Motivated":[98],"by":[99],"these":[100],"challenges,":[101],"we":[102,166],"develop":[103],"Scene":[106],"Exploration":[107],"Evaluation":[109],"(ISEE)":[110],"platform":[111],"based":[112,231],"heterogeneous":[115],"CPU-GPU":[116],"cluster":[117],"some":[119],"distributed":[120],"tools,":[122],"where":[123,211],"Spark":[124],"Streaming":[125],"serves":[126],"as":[127,140],"engine":[130],"efficient":[132],"processing":[135],"Kafka":[137],"adopted":[139],"middle-ware":[142],"message":[143],"center":[144],"decouple":[146],"different":[147],"flexibly.":[150],"To":[151],"validate":[152],"ISEE":[157,169],"evaluation":[161],"composable":[164,263],"systems,":[165],"instantiate":[167],"application":[173],"person":[175],"retrieval":[176],"with":[177,185],"three":[178],"modules,":[181],"including":[182],"pedestrian":[183],"detection":[184],"tracking,":[186],"attribute":[187],"recognition":[188],"re-identification.":[190],"Extensive":[191],"experiments":[192],"are":[193],"performed":[194],"dataset":[200],"involving":[201],"25":[202],"camera":[203],"scenes,":[204],"totally":[205],"587":[206],"hours":[207],"720p":[208],"synchronous":[209],"videos,":[210],"two-stage":[213],"question-answering":[214],"procedure":[215],"proposed":[217],"measure":[219],"execution":[223],"pipelines":[224],"composed":[225],"millions":[233],"attribute-based":[235],"relationship-based":[237],"queries.":[238],"The":[239],"case":[240],"system-level":[243],"evaluations":[244],"may":[245],"inspire":[246],"researchers":[247],"combining":[254],"strategies":[255],"view":[258],"scalable":[261],"in":[265],"future.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
