{"id":"https://openalex.org/W4366549398","doi":"https://doi.org/10.1145/3544548.3581113","title":"ChartDetective: Easy and Accurate Interactive Data Extraction from Complex Vector Charts","display_name":"ChartDetective: Easy and Accurate Interactive Data Extraction from Complex Vector Charts","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366549398","doi":"https://doi.org/10.1145/3544548.3581113"},"language":"en","primary_location":{"id":"doi:10.1145/3544548.3581113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544548.3581113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04017638/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102804783","display_name":"Damien Masson","orcid":"https://orcid.org/0000-0002-9482-8639"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Damien Masson","raw_affiliation_strings":["Cheriton School of Computer Science, University of Waterloo, Canada","CS - Cheriton School of Computer Science [Waterloo] (200 University Avenue West Waterloo, ON, N2L 3G1 - Canada)"],"raw_orcid":"https://orcid.org/0000-0002-9482-8639","affiliations":[{"raw_affiliation_string":"Cheriton School of Computer Science, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"CS - Cheriton School of Computer Science [Waterloo] (200 University Avenue West Waterloo, ON, N2L 3G1 - Canada)","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047560482","display_name":"Sylvain Malacria","orcid":"https://orcid.org/0000-0002-5201-5875"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"id":"https://openalex.org/I7454413","display_name":"\u00c9cole Centrale de Lille","ror":"https://ror.org/01x441g73","country_code":"FR","type":"education","lineage":["https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sylvain Malacria","raw_affiliation_strings":["Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France"],"raw_orcid":"https://orcid.org/0000-0002-5201-5875","affiliations":[{"raw_affiliation_string":"Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France","institution_ids":["https://openalex.org/I7454413","https://openalex.org/I2279609970","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055522213","display_name":"Daniel Vogel","orcid":"https://orcid.org/0000-0001-7620-0541"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daniel Vogel","raw_affiliation_strings":["Cheriton School of Computer Science, University of Waterloo, Canada","CS - Cheriton School of Computer Science [Waterloo] (200 University Avenue West Waterloo, ON, N2L 3G1 - Canada)"],"raw_orcid":"https://orcid.org/0000-0001-7620-0541","affiliations":[{"raw_affiliation_string":"Cheriton School of Computer Science, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"CS - Cheriton School of Computer Science [Waterloo] (200 University Avenue West Waterloo, ON, N2L 3G1 - Canada)","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042792975","display_name":"Edward Lank","orcid":"https://orcid.org/0000-0003-2760-2370"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Edward Lank","raw_affiliation_strings":["Cheriton School of Computer Science, University of Waterloo, Canada","CS - Cheriton School of Computer Science [Waterloo] (200 University Avenue West Waterloo, ON, N2L 3G1 - Canada)"],"raw_orcid":"https://orcid.org/0000-0003-2760-2370","affiliations":[{"raw_affiliation_string":"Cheriton School of Computer Science, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"CS - Cheriton School of Computer Science [Waterloo] (200 University Avenue West Waterloo, ON, N2L 3G1 - Canada)","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074124908","display_name":"G\u00e9ry Casiez","orcid":"https://orcid.org/0000-0003-1905-815X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"id":"https://openalex.org/I7454413","display_name":"\u00c9cole Centrale de Lille","ror":"https://ror.org/01x441g73","country_code":"FR","type":"education","lineage":["https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G\u00e9ry Casiez","raw_affiliation_strings":["Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, France"],"raw_orcid":"https://orcid.org/0000-0003-1905-815X","affiliations":[{"raw_affiliation_string":"Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, France","institution_ids":["https://openalex.org/I7454413","https://openalex.org/I2279609970","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102804783"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":2.422,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90791532,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"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/T11106","display_name":"Data Management and Algorithms","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9879000186920166,"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":0.7630146741867065},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.5629891753196716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5189692378044128},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.5091893076896667},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.4636240005493164},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4492465853691101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44354912638664246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3753300905227661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630146741867065},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.5629891753196716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5189692378044128},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.5091893076896667},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.4636240005493164},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4492465853691101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44354912638664246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3753300905227661},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3544548.3581113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544548.3581113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04017638v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04017638","pdf_url":"https://hal.science/hal-04017638/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CHI 2023 - ACM Conference on Human Factors in Computing Systems, Apr 2023, Hamburg, Germany. ⟨10.1145/3544548.3581113⟩","raw_type":"Conference papers"},{"id":"pmh:oai:lilloa.univ-lille.fr:20.500.12210/79819","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12210/79819","pdf_url":null,"source":{"id":"https://openalex.org/S4306402203","display_name":"LillOA (Universit\u00e9 de Lille (University Of Lille))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210123514","host_organization_name":"Centre d'Etudes en Civilisations, Langues et Litt\u00e9ratures Etrang\u00e8res","host_organization_lineage":["https://openalex.org/I4210123514"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04017638v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04017638","pdf_url":"https://hal.science/hal-04017638/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CHI 2023 - ACM Conference on Human Factors in Computing Systems, Apr 2023, Hamburg, Germany. ⟨10.1145/3544548.3581113⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4915642635","display_name":null,"funder_award_id":"2018-05187","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G5406167887","display_name":null,"funder_award_id":"ANR-19-CE33-0006","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320322676","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4366549398.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W591743112","https://openalex.org/W884650706","https://openalex.org/W1527794404","https://openalex.org/W1591017069","https://openalex.org/W1964639420","https://openalex.org/W1990100773","https://openalex.org/W2011764172","https://openalex.org/W2032191478","https://openalex.org/W2048349970","https://openalex.org/W2053604034","https://openalex.org/W2058977039","https://openalex.org/W2059216172","https://openalex.org/W2067022444","https://openalex.org/W2067939171","https://openalex.org/W2068562326","https://openalex.org/W2083928261","https://openalex.org/W2088452021","https://openalex.org/W2099482242","https://openalex.org/W2106281550","https://openalex.org/W2120326355","https://openalex.org/W2135415614","https://openalex.org/W2137455203","https://openalex.org/W2141613588","https://openalex.org/W2170633497","https://openalex.org/W2187498907","https://openalex.org/W2236052576","https://openalex.org/W2394598249","https://openalex.org/W2401208927","https://openalex.org/W2408076217","https://openalex.org/W2464551156","https://openalex.org/W2500338820","https://openalex.org/W2516678343","https://openalex.org/W2522351341","https://openalex.org/W2595457065","https://openalex.org/W2610697282","https://openalex.org/W2611577320","https://openalex.org/W2611904979","https://openalex.org/W2725765016","https://openalex.org/W2753584194","https://openalex.org/W2795728480","https://openalex.org/W2888660171","https://openalex.org/W2927052147","https://openalex.org/W2940737917","https://openalex.org/W2941301933","https://openalex.org/W2941455863","https://openalex.org/W2959442326","https://openalex.org/W2963420691","https://openalex.org/W2963427688","https://openalex.org/W2969709530","https://openalex.org/W3003805658","https://openalex.org/W3005156955","https://openalex.org/W3021218348","https://openalex.org/W3026065740","https://openalex.org/W3028907449","https://openalex.org/W3030678554","https://openalex.org/W3031193233","https://openalex.org/W3031494326","https://openalex.org/W3107232127","https://openalex.org/W3116465435","https://openalex.org/W3123978464","https://openalex.org/W3130805936","https://openalex.org/W3159989291","https://openalex.org/W3162821954","https://openalex.org/W3175819408","https://openalex.org/W3185452111","https://openalex.org/W3185482315","https://openalex.org/W4221017055","https://openalex.org/W4225094266","https://openalex.org/W4225128714","https://openalex.org/W4366548996"],"related_works":["https://openalex.org/W1997953140","https://openalex.org/W4245508207","https://openalex.org/W2996808565","https://openalex.org/W2371122778","https://openalex.org/W1488652151","https://openalex.org/W2026066822","https://openalex.org/W2768758348","https://openalex.org/W3102510374","https://openalex.org/W2954918491","https://openalex.org/W1964658094"],"abstract_inverted_index":{"Extracting":[0],"underlying":[1,48],"data":[2,30,49,91,102],"from":[3,92],"rasterized":[4],"charts":[5,44,93],"is":[6,55],"tedious":[7],"and":[8,19,51,74,109],"inaccurate;":[9],"values":[10],"might":[11],"be":[12],"partially":[13,111],"occluded":[14],"or":[15,112],"hard":[16],"to":[17,45,57,88,116],"distinguish,":[18],"the":[20,23,26,29,47,59],"quality":[21],"of":[22,28,61,101,106],"image":[24],"limits":[25],"precision":[27],"being":[31],"recovered.":[32],"To":[33],"address":[34],"these":[35],"issues,":[36],"we":[37],"introduce":[38],"a":[39,67,104,133],"semi-automatic":[40],"system":[41,54],"leveraging":[42],"vector":[43,62],"extract":[46],"easily":[50],"accurately.":[52],"The":[53],"designed":[56],"make":[58],"most":[60],"information":[63],"by":[64],"relying":[65,119],"on":[66,120],"drag-and-drop":[68],"interface":[69],"combined":[70],"with":[71,97,132],"selection,":[72],"filtering,":[73],"previsualization":[75],"features.":[76],"A":[77],"user":[78],"study":[79],"showed":[80],"that":[81],"participants":[82],"spent":[83],"less":[84],"than":[85],"4":[86],"minutes":[87],"accurately":[89],"recover":[90],"published":[94],"at":[95],"CHI":[96],"diverse":[98],"styles,":[99],"thousands":[100],"points,":[103],"combination":[105],"different":[107],"encodings,":[108],"elements":[110],"completely":[113],"occluded.":[114],"Compared":[115],"other":[117],"approaches":[118],"raster":[121],"images,":[122],"our":[123],"tool":[124],"successfully":[125],"recovered":[126],"all":[127],"data,":[128],"even":[129],"when":[130],"hidden,":[131],"78%":[134],"lower":[135],"relative":[136],"error.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}