{"id":"https://openalex.org/W4281974029","doi":"https://doi.org/10.1145/3514221.3517899","title":"Controlled Intentional Degradation in Analytical Video Systems","display_name":"Controlled Intentional Degradation in Analytical Video Systems","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281974029","doi":"https://doi.org/10.1145/3514221.3517899"},"language":"en","primary_location":{"id":"doi:10.1145/3514221.3517899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3517899","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/146268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042489447","display_name":"Wenjia He","orcid":"https://orcid.org/0000-0001-8161-4642"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenjia He","raw_affiliation_strings":["University of Michigan, Ann Arbor, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039133265","display_name":"Michael Cafarella","orcid":"https://orcid.org/0000-0001-6122-0590"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Cafarella","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042489447"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0597,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24045422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2105","last_page":"2119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9987000226974487,"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":0.9987000226974487,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.982699990272522,"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":0.8133819103240967},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5587192177772522},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4711655080318451},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.4477725028991699},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3994000256061554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3853608965873718},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10904622077941895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133819103240967},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5587192177772522},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4711655080318451},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.4477725028991699},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3994000256061554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3853608965873718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10904622077941895},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3514221.3517899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3517899","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/146268","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/146268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM|Proceedings of the 2022 International Conference on Management of Data","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/146268","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/146268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM|Proceedings of the 2022 International Conference on Management of Data","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G199873809","display_name":null,"funder_award_id":"693JJ319000009","funder_id":"https://openalex.org/F4320332393","funder_display_name":"Federal Highway Administration"}],"funders":[{"id":"https://openalex.org/F4320332393","display_name":"Federal Highway Administration","ror":"https://ror.org/0473rr271"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W646387458","https://openalex.org/W1583155004","https://openalex.org/W1956925690","https://openalex.org/W1960247298","https://openalex.org/W1998321650","https://openalex.org/W2002791618","https://openalex.org/W2010523825","https://openalex.org/W2014407477","https://openalex.org/W2017343233","https://openalex.org/W2022590153","https://openalex.org/W2029146455","https://openalex.org/W2032291279","https://openalex.org/W2071989194","https://openalex.org/W2097452095","https://openalex.org/W2110363867","https://openalex.org/W2114944618","https://openalex.org/W2116013547","https://openalex.org/W2125343466","https://openalex.org/W2126652202","https://openalex.org/W2130787223","https://openalex.org/W2135581534","https://openalex.org/W2140811298","https://openalex.org/W2142406320","https://openalex.org/W2143705506","https://openalex.org/W2143851402","https://openalex.org/W2156000104","https://openalex.org/W2161118867","https://openalex.org/W2163855617","https://openalex.org/W2168049576","https://openalex.org/W2293703278","https://openalex.org/W2296677182","https://openalex.org/W2308661896","https://openalex.org/W2341510490","https://openalex.org/W2341528187","https://openalex.org/W2466378217","https://openalex.org/W2524946712","https://openalex.org/W2605945093","https://openalex.org/W2613577383","https://openalex.org/W2744999500","https://openalex.org/W2797048172","https://openalex.org/W2803764703","https://openalex.org/W2808184646","https://openalex.org/W2887117815","https://openalex.org/W2891345706","https://openalex.org/W2904671658","https://openalex.org/W2909678128","https://openalex.org/W2963150697","https://openalex.org/W3004286518","https://openalex.org/W3023142945","https://openalex.org/W3028942915","https://openalex.org/W3032112964","https://openalex.org/W3101998545","https://openalex.org/W3103317839","https://openalex.org/W3103442520","https://openalex.org/W3106402164","https://openalex.org/W3188452751","https://openalex.org/W4234318375","https://openalex.org/W4250810693","https://openalex.org/W4385643437"],"related_works":["https://openalex.org/W2161444195","https://openalex.org/W2589019771","https://openalex.org/W2985540061","https://openalex.org/W4287867321","https://openalex.org/W2911183501","https://openalex.org/W2104014222","https://openalex.org/W2534928293","https://openalex.org/W3006062179","https://openalex.org/W2144035188","https://openalex.org/W2150718212"],"abstract_inverted_index":{"It":[0,129],"is":[1,95,101,227],"increasingly":[2],"affordable":[3],"for":[4,18,119,171],"governments":[5],"to":[6,65,77,103,155,188,229],"collect":[7],"video":[8,14,60,75,115,158,204],"data":[9],"of":[10,21,40,92,122,127,145,165,224],"public":[11,69,107],"locations.":[12],"This":[13],"can":[15],"be":[16,55],"used":[17],"a":[19,38,114,132,161,184],"range":[20,39],"broadly":[22],"valuable":[23],"analytical":[24,66,86,140,225],"tasks,":[25],"such":[26],"as":[27],"counting":[28],"traffic,":[29],"measuring":[30],"commerce,":[31],"or":[32],"detecting":[33],"accidents.":[34],"Governments":[35],"also":[36],"have":[37],"policy":[41,79,108,187],"goals":[42,80],"---":[43,52],"preserving":[44],"privacy,":[45],"reducing":[46],"bandwidth":[47],"use,":[48],"and":[49,97,99,142,209,232],"legal":[50],"compliance":[51],"that":[53,134],"may":[54],"obtained":[56],"by":[57],"degrading":[58],"the":[59,84,89,120,124,136,148,156,174],"at":[61],"some":[62],"potential":[63],"cost":[64],"accuracy.":[67,87,193],"Ideally,":[68],"administrators":[70,131],"could":[71],"employ":[72],"controlled":[73],"intentional":[74],"degradation":[76,94],"achieve":[78],"while":[81],"still":[82],"obtaining":[83],"required":[85],"Unfortunately,":[88],"optimal":[90],"amount":[91,126],"induced":[93],"data-":[96],"query-dependent,":[98],"so":[100,160],"difficult":[102],"determine":[104],"even":[105],"when":[106],"preferences":[109],"are":[110],"well-known.":[111],"We":[112,194],"propose":[113,183],"degradation-accuracy":[116],"profiling":[117],"model":[118],"problem":[121],"controlling":[123],"appropriate":[125],"degradation.":[128,146],"offers":[130],"profile":[133,185],"illustrates":[135],"tradeoff":[137,150,191],"between":[138],"increased":[139,143],"accuracy":[141],"amounts":[144],"Computing":[147],"true":[149],"curves":[151,175],"requires":[152],"full":[153],"access":[154],"non-degraded":[157],"stream,":[159],"primary":[162],"technical":[163],"contribution":[164],"this":[166],"work":[167],"lies":[168],"in":[169],"methods":[170],"accurately":[172],"approximating":[173],"with":[176,215],"only":[177],"limited":[178],"information.":[179],"In":[180],"addition,":[181],"we":[182,218],"repair":[186],"further":[189],"improve":[190],"curves'":[192],"describe":[195],"our":[196,220],"prototype":[197],"system,":[198],"Smokescreen,":[199],"plus":[200],"experiments":[201],"on":[202],"two":[203,206],"datasets,":[205],"detection":[207],"models":[208],"four":[210],"aggregate":[211],"query":[212],"types.":[213],"Compared":[214],"competing":[216],"methods,":[217],"show":[219],"upper":[221],"bound":[222],"estimation":[223],"error":[226],"up":[228],"155%":[230],"tighter,":[231],"Smokescreen":[233],"enables":[234],"88%":[235],"more":[236],"accurate":[237],"tradeoffs.":[238]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
