{"id":"https://openalex.org/W2752236330","doi":"https://doi.org/10.14778/3137628.3137664","title":"NoScope","display_name":"NoScope","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2752236330","doi":"https://doi.org/10.14778/3137628.3137664","mag":"2752236330"},"language":"en","primary_location":{"id":"doi:10.14778/3137628.3137664","is_oa":true,"landing_page_url":"https://doi.org/10.14778/3137628.3137664","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.14778/3137628.3137664","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072348548","display_name":"Daniel Kang","orcid":"https://orcid.org/0000-0001-9860-9938"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Daniel Kang","raw_affiliation_strings":["Stanford InfoLab"],"affiliations":[{"raw_affiliation_string":"Stanford InfoLab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083366663","display_name":"John Emmons","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Emmons","raw_affiliation_strings":["Stanford InfoLab"],"affiliations":[{"raw_affiliation_string":"Stanford InfoLab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059130960","display_name":"Firas Abuzaid","orcid":"https://orcid.org/0000-0002-1424-4554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Firas Abuzaid","raw_affiliation_strings":["Stanford InfoLab"],"affiliations":[{"raw_affiliation_string":"Stanford InfoLab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002538469","display_name":"Peter Bailis","orcid":"https://orcid.org/0000-0003-1166-7823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Bailis","raw_affiliation_strings":["Stanford InfoLab"],"affiliations":[{"raw_affiliation_string":"Stanford InfoLab","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005554337","display_name":"Matei Zaharia","orcid":"https://orcid.org/0000-0002-7547-7204"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matei Zaharia","raw_affiliation_strings":["Stanford InfoLab"],"affiliations":[{"raw_affiliation_string":"Stanford InfoLab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072348548"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.3784,"has_fulltext":false,"cited_by_count":355,"citation_normalized_percentile":{"value":0.99044331,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":"11","first_page":"1586","last_page":"1597"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9995999932289124,"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":0.8292036056518555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6457598209381104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5554512143135071},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5077430009841919},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5002295970916748},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49973464012145996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4741993546485901},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4644498825073242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4549401104450226},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4194057285785675},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4146858751773834},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4116184711456299}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292036056518555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6457598209381104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5554512143135071},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5077430009841919},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5002295970916748},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49973464012145996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4741993546485901},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4644498825073242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4549401104450226},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4194057285785675},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4146858751773834},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4116184711456299},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3137628.3137664","is_oa":true,"landing_page_url":"https://doi.org/10.14778/3137628.3137664","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.14778/3137628.3137664","is_oa":true,"landing_page_url":"https://doi.org/10.14778/3137628.3137664","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W1475617732","https://openalex.org/W1522258013","https://openalex.org/W1556530724","https://openalex.org/W1797109199","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W1913628733","https://openalex.org/W1919191429","https://openalex.org/W1934410531","https://openalex.org/W1947481528","https://openalex.org/W1976948919","https://openalex.org/W1989702938","https://openalex.org/W1995903777","https://openalex.org/W2002847526","https://openalex.org/W2010921860","https://openalex.org/W2025797634","https://openalex.org/W2027843963","https://openalex.org/W2031454541","https://openalex.org/W2035049954","https://openalex.org/W2047877155","https://openalex.org/W2076161308","https://openalex.org/W2079806729","https://openalex.org/W2083498763","https://openalex.org/W2086736783","https://openalex.org/W2088049833","https://openalex.org/W2089961441","https://openalex.org/W2090850279","https://openalex.org/W2099355420","https://openalex.org/W2101207848","https://openalex.org/W2102018241","https://openalex.org/W2102475035","https://openalex.org/W2103864279","https://openalex.org/W2107169849","https://openalex.org/W2109579504","https://openalex.org/W2110717643","https://openalex.org/W2115503987","https://openalex.org/W2117539524","https://openalex.org/W2122549678","https://openalex.org/W2122679244","https://openalex.org/W2123812793","https://openalex.org/W2124386111","https://openalex.org/W2125186487","https://openalex.org/W2131400476","https://openalex.org/W2134797427","https://openalex.org/W2135449683","https://openalex.org/W2137066398","https://openalex.org/W2141362318","https://openalex.org/W2144261930","https://openalex.org/W2144679084","https://openalex.org/W2150066425","https://openalex.org/W2150637221","https://openalex.org/W2153329411","https://openalex.org/W2158563164","https://openalex.org/W2161569281","https://openalex.org/W2162741153","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2168809519","https://openalex.org/W2169361120","https://openalex.org/W2184623761","https://openalex.org/W2194775991","https://openalex.org/W2282391807","https://openalex.org/W2294370754","https://openalex.org/W2300242332","https://openalex.org/W2335901184","https://openalex.org/W2395596584","https://openalex.org/W2513005088","https://openalex.org/W2513554817","https://openalex.org/W2514628397","https://openalex.org/W2518013266","https://openalex.org/W2553303224","https://openalex.org/W2556746685","https://openalex.org/W2557283755","https://openalex.org/W2562067889","https://openalex.org/W2562852216","https://openalex.org/W2570343428","https://openalex.org/W2581082771","https://openalex.org/W2583166314","https://openalex.org/W2599379624","https://openalex.org/W2613751718","https://openalex.org/W2618530766","https://openalex.org/W2618533983","https://openalex.org/W2916780012","https://openalex.org/W2919115771","https://openalex.org/W2949266290","https://openalex.org/W2949847849","https://openalex.org/W2950656546","https://openalex.org/W2951978180","https://openalex.org/W2952005526","https://openalex.org/W2952432176","https://openalex.org/W2952881492","https://openalex.org/W2953106684","https://openalex.org/W2959792658","https://openalex.org/W2962850098","https://openalex.org/W2963037989","https://openalex.org/W2964299589","https://openalex.org/W3100935401","https://openalex.org/W3147600416","https://openalex.org/W4245199738"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2032776242","https://openalex.org/W1481694090"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,38],"computer":[3],"vision---in":[4],"the":[5,71,117,120,127,150,154,163,180],"form":[6],"of":[7,18,73,83,113,119,144,153,217,237],"deep":[8],"neural":[9,25,74,98,239],"networks---have":[10],"made":[11],"it":[12],"possible":[13],"to":[14,46,80,94,126,199,214],"query":[15],"increasing":[16],"volumes":[17],"video":[19,49,76,129,165,231],"data":[20],"with":[21],"high":[22],"accuracy.":[23],"However,":[24],"network":[26,75,122],"inference":[27],"is":[28,124],"computationally":[29,135],"expensive":[30],"at":[31],"scale:":[32],"applying":[33],"a":[34,47,51,63,90,109],"state-of-the-art":[35,238],"object":[36,93],"detector":[37],"real":[39],"time":[40],"(i.e.,":[41],"30+":[42],"frames":[43],"per":[44],"second)":[45],"single":[48],"requires":[50],"$4000":[52],"GPU.":[53],"In":[54],"response,":[55],"we":[56],"present":[57],"N":[58,100,137,190,208],"o":[59,101,138,191,209],"S":[60,102,139,192,210],"cope":[61,103,140,193,211],",":[62],"system":[64],"for":[65,106,162],"querying":[66],"videos":[67,186],"that":[68,115,148,171,179],"can":[69],"reduce":[70],"cost":[72],"analysis":[77],"by":[78],"up":[79],"three":[81,215],"orders":[82],"magnitude":[84,218],"via":[85],"inference-optimized":[86],"model":[87,156],"search.":[88],"Given":[89],"target":[91,128,164],"video,":[92],"detect,":[95],"and":[96,107,130,166,168,187,203,229],"reference":[97,121,155],"network,":[99],"automatically":[104],"searches":[105],"trains":[108],"sequence,":[110],"or":[111],"cascade,":[112],"models":[114,147,202],"preserves":[116],"accuracy":[118,234],"but":[123,157],"specialized":[125,146],"are":[131],"therefore":[132],"far":[133],"less":[134],"expensive.":[136],"cascades":[141],"two":[142,213],"types":[143],"models:":[145],"forego":[149],"full":[151],"generality":[152],"faithfully":[158],"mimic":[159],"its":[160],"behavior":[161],"object;":[167],"difference":[169],"detectors":[170],"highlight":[172],"temporal":[173],"differences":[174],"across":[175,185,201],"frames.":[176],"We":[177],"show":[178],"optimal":[181],"cascade":[182],"architecture":[183],"differs":[184],"objects,":[188],"so":[189],"uses":[194],"an":[195],"efficient":[196],"cost-based":[197],"optimizer":[198],"search":[200],"cascades.":[204],"With":[205],"this":[206],"approach,":[207],"achieves":[212],"order":[216],"speed-ups":[219],"(265-15,500x":[220],"real-time)":[221],"on":[222],"binary":[223],"classification":[224],"tasks":[225],"over":[226],"fixed-angle":[227],"webcam":[228],"surveillance":[230],"while":[232],"maintaining":[233],"within":[235],"1--5%":[236],"networks.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":60},{"year":2021,"cited_by_count":53},{"year":2020,"cited_by_count":49},{"year":2019,"cited_by_count":56},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2017-09-15T00:00:00"}