{"id":"https://openalex.org/W2415253009","doi":"https://doi.org/10.1145/2910896.2925469","title":"Curve Separation for Line Graphs in Scholarly Documents","display_name":"Curve Separation for Line Graphs in Scholarly Documents","publication_year":2016,"publication_date":"2016-06-10","ids":{"openalex":"https://openalex.org/W2415253009","doi":"https://doi.org/10.1145/2910896.2925469","mag":"2415253009"},"language":"en","primary_location":{"id":"doi:10.1145/2910896.2925469","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910896.2925469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries","raw_type":"proceedings-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/A5112500027","display_name":"Sagnik Ray Choudhury","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sagnik Ray Choudhury","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422253","display_name":"Shuting Wang","orcid":"https://orcid.org/0000-0001-5620-9151"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuting Wang","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001294898","display_name":"C. Lee Giles","orcid":"https://orcid.org/0000-0002-1931-585X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Lee Giles","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112500027"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.71461896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","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"}},"topics":[{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","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"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9987999796867371,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9973999857902527,"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/raster-graphics","display_name":"Raster graphics","score":0.8375416994094849},{"id":"https://openalex.org/keywords/vector-graphics","display_name":"Vector graphics","score":0.7339490056037903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.728740930557251},{"id":"https://openalex.org/keywords/scalable-vector-graphics","display_name":"Scalable Vector Graphics","score":0.661540150642395},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.6568136811256409},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5977789163589478},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5842310786247253},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.5555974841117859},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5195080041885376},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5137680768966675},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4997706413269043},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.43960049748420715},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4388667047023773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42653244733810425},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.4234035611152649},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33086633682250977},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18127411603927612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15266883373260498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13992634415626526},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12122687697410583},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11620798707008362}],"concepts":[{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.8375416994094849},{"id":"https://openalex.org/C59662460","wikidata":"https://www.wikidata.org/wiki/Q170130","display_name":"Vector graphics","level":3,"score":0.7339490056037903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728740930557251},{"id":"https://openalex.org/C202629362","wikidata":"https://www.wikidata.org/wiki/Q2078","display_name":"Scalable Vector Graphics","level":2,"score":0.661540150642395},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.6568136811256409},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5977789163589478},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5842310786247253},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.5555974841117859},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5195080041885376},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5137680768966675},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4997706413269043},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.43960049748420715},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4388667047023773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42653244733810425},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.4234035611152649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33086633682250977},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18127411603927612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15266883373260498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13992634415626526},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12122687697410583},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11620798707008362},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2910896.2925469","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910896.2925469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.46000000834465027,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G608555560","display_name":null,"funder_award_id":"4-029-1-007","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"}],"funders":[{"id":"https://openalex.org/F4320309085","display_name":"Center for Selective C-H Functionalization, National Science Foundation","ror":"https://ror.org/02h8v7m77"},{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2028657008","https://openalex.org/W2060928565","https://openalex.org/W2577020101"],"related_works":["https://openalex.org/W2046820499","https://openalex.org/W4210244968","https://openalex.org/W4388585877","https://openalex.org/W4392904089","https://openalex.org/W4243246249","https://openalex.org/W4236831295","https://openalex.org/W201214695","https://openalex.org/W2029462932","https://openalex.org/W1488652151","https://openalex.org/W2026066822"],"abstract_inverted_index":{"Line":[0],"graphs":[1],"are":[2,8,60],"abundant":[3],"in":[4,25,44],"scholarly":[5,54,58],"papers.":[6],"They":[7],"usually":[9],"generated":[10],"from":[11,53],"a":[12,67],"data":[13,17,28],"table":[14],"and":[15,76,86],"that":[16,79],"can":[18,80],"not":[19],"be":[20],"accessed.":[21],"One":[22],"important":[23],"step":[24],"an":[26],"automated":[27],"extraction":[29],"pipeline":[30],"is":[31],"the":[32,37,83,87,92],"curve":[33,93],"separation":[34,94],"problem:":[35],"segmenting":[36],"pixels":[38],"into":[39],"separate":[40],"curves.":[41],"Previous":[42],"work":[43],"this":[45],"domain":[46],"has":[47],"focused":[48],"on":[49],"raster":[50],"graphics":[51],"extracted":[52],"PDFs,":[55],"whereas":[56],"most":[57],"plots":[59,72],"embedded":[61],"as":[62,73],"vector":[63],"graphics.":[64],"We":[65],"report":[66],"system":[68],"to":[69],"extract":[70],"these":[71],"SVG":[74],"images":[75],"show":[77],"how":[78],"improve":[81],"both":[82],"accuracy":[84],"(90%)":[85],"scalability":[88],"(5-8":[89],"seconds)":[90],"of":[91],"problem.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}