{"id":"https://openalex.org/W4386123413","doi":"https://doi.org/10.14778/3611479.3611482","title":"EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions","display_name":"EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386123413","doi":"https://doi.org/10.14778/3611479.3611482"},"language":"en","primary_location":{"id":"doi:10.14778/3611479.3611482","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3611479.3611482","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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060477171","display_name":"Enhao Zhang","orcid":"https://orcid.org/0009-0001-0837-7684"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Enhao Zhang","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055142893","display_name":"Maureen Daum","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maureen Daum","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110162006","display_name":"Dong He","orcid":"https://orcid.org/0000-0001-9684-079X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong He","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077505360","display_name":"Brandon Haynes","orcid":"https://orcid.org/0000-0002-1501-9586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brandon Haynes","raw_affiliation_strings":["Microsoft Gray Systems Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Gray Systems Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032451496","display_name":"Ranjay Krishna","orcid":"https://orcid.org/0000-0001-8784-2531"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranjay Krishna","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064988079","display_name":"Magdalena Ba\u0142azi\u0144ska","orcid":"https://orcid.org/0000-0002-6805-0325"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdalena Balazinska","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.27,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79399724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"11","first_page":"2714","last_page":"2727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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":0.9983999729156494,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9980000257492065,"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":0.8735567331314087},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7197396755218506},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6465120315551758},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.44572412967681885},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33848443627357483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3381744623184204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8735567331314087},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7197396755218506},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6465120315551758},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.44572412967681885},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33848443627357483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3381744623184204},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3611479.3611482","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3611479.3611482","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1908985308","https://openalex.org/W1981723314","https://openalex.org/W2007324466","https://openalex.org/W2011605810","https://openalex.org/W2013023084","https://openalex.org/W2043422002","https://openalex.org/W2064766209","https://openalex.org/W2080021732","https://openalex.org/W2116013547","https://openalex.org/W2150066425","https://openalex.org/W2159486561","https://openalex.org/W2275996142","https://openalex.org/W2277195237","https://openalex.org/W2525788665","https://openalex.org/W2587548043","https://openalex.org/W2752236330","https://openalex.org/W2753693229","https://openalex.org/W2786278116","https://openalex.org/W2803764703","https://openalex.org/W2887117815","https://openalex.org/W2905207581","https://openalex.org/W2916836516","https://openalex.org/W2948443995","https://openalex.org/W2950703532","https://openalex.org/W2966332071","https://openalex.org/W3000318171","https://openalex.org/W3003572584","https://openalex.org/W3008825258","https://openalex.org/W3031234741","https://openalex.org/W3033481405","https://openalex.org/W3034679267","https://openalex.org/W3080870400","https://openalex.org/W3086715908","https://openalex.org/W3093296244","https://openalex.org/W3094252010","https://openalex.org/W3098744844","https://openalex.org/W3103442520","https://openalex.org/W3115021520","https://openalex.org/W3157664165","https://openalex.org/W3172687595","https://openalex.org/W3197227406","https://openalex.org/W3210617645","https://openalex.org/W4205750058","https://openalex.org/W4214614183","https://openalex.org/W4225083341","https://openalex.org/W4242239856","https://openalex.org/W4312611216","https://openalex.org/W4386123413","https://openalex.org/W6778809871","https://openalex.org/W6785504969"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2043093291","https://openalex.org/W2101155126","https://openalex.org/W2363545964"],"abstract_inverted_index":{"We":[0],"introduce":[1],"EQUI-VOCAL:":[2],"a":[3,20,90],"new":[4],"system":[5,104],"that":[6,95,124],"automatically":[7],"synthesizes":[8],"queries":[9,123],"over":[10],"videos":[11],"from":[12],"limited":[13,62],"user":[14,17,49],"interactions.":[15],"The":[16],"only":[18],"provides":[19],"handful":[21],"of":[22,27,78,110],"positive":[23],"and":[24,38,65,86,89,99,115],"negative":[25],"examples":[26,37],"what":[28],"they":[29],"are":[30],"looking":[31],"for.":[32],"EQUI-VOCAL":[33],"utilizes":[34],"these":[35],"initial":[36],"additional":[39],"ones":[40],"collected":[41],"through":[42],"active":[43],"learning":[44],"to":[45,55,72,117],"efficiently":[46],"synthesize":[47,121],"complex":[48,122],"queries.":[50],"Our":[51,103],"approach":[52,94],"enables":[53],"users":[54],"find":[56],"events":[57],"without":[58,66],"database":[59],"expertise,":[60],"with":[61],"labeling":[63],"effort,":[64],"declarative":[67],"specifications":[68],"or":[69],"sketches.":[70],"Core":[71],"EQUI-VOCAL's":[73],"design":[74],"is":[75],"the":[76,125],"use":[77],"spatio-temporal":[79],"scene":[80],"graphs":[81],"in":[82],"its":[83],"data":[84],"model":[85],"query":[87,92],"language":[88],"novel":[91],"synthesis":[93,113],"works":[96],"on":[97],"large":[98],"noisy":[100],"video":[101],"data.":[102],"outperforms":[105],"two":[106],"baseline":[107],"systems---in":[108],"terms":[109],"F1":[111],"score,":[112],"time,":[114],"robustness":[116],"noise---and":[118],"can":[119],"flexibly":[120],"baselines":[126],"do":[127],"not":[128],"support.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}