{"id":"https://openalex.org/W1522659306","doi":"https://doi.org/10.2312/vmv.20141272","title":"Pattern Search in Flows based on Similarity of Stream Line Segments","display_name":"Pattern Search in Flows based on Similarity of Stream Line Segments","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1522659306","doi":"https://doi.org/10.2312/vmv.20141272","mag":"1522659306"},"language":"en","primary_location":{"id":"pmh:oai:escidoc.org:escidoc:2078155","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0024-5337-3","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vmv.20141272","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100738315","display_name":"Zhongjie Wang","orcid":"https://orcid.org/0000-0002-9084-7373"},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wang, Zhongjie","raw_affiliation_strings":["Computer Graphics, MPI for Informatics, Max Planck Society"],"affiliations":[{"raw_affiliation_string":"Computer Graphics, MPI for Informatics, Max Planck Society","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I149899117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081530811","display_name":"Janick Martinez Esturo","orcid":"https://orcid.org/0000-0002-6907-5639"},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Esturo, Janick Martinez","raw_affiliation_strings":["Computer Graphics, MPI for Informatics, Max Planck Society"],"affiliations":[{"raw_affiliation_string":"Computer Graphics, MPI for Informatics, Max Planck Society","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I149899117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105697746","display_name":"Hans\u2010Peter Seidel","orcid":null},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Seidel, Hans-Peter","raw_affiliation_strings":["Computer Graphics, MPI for Informatics, Max Planck Society"],"affiliations":[{"raw_affiliation_string":"Computer Graphics, MPI for Informatics, Max Planck Society","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I149899117"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082234726","display_name":"Tino Weinkauf","orcid":"https://orcid.org/0000-0002-1498-9062"},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Weinkauf, Tino","raw_affiliation_strings":["Computer Graphics, MPI for Informatics, Max Planck Society"],"affiliations":[{"raw_affiliation_string":"Computer Graphics, MPI for Informatics, Max Planck Society","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I149899117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100738315"],"corresponding_institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210109712"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","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/T11439","display_name":"Video Analysis and Summarization","score":0.9894999861717224,"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/similarity","display_name":"Similarity (geometry)","score":0.6783764362335205},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.6549400091171265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6526637673377991},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5841001868247986},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5657744407653809},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5482053756713867},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5409437417984009},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5402258634567261},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.475872665643692},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46267956495285034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4449705481529236},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41212227940559387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3964487314224243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3551056683063507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30139899253845215},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22054025530815125},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17346778512001038},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11039724946022034}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6783764362335205},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.6549400091171265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6526637673377991},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5841001868247986},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5657744407653809},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5482053756713867},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5409437417984009},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5402258634567261},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.475872665643692},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46267956495285034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4449705481529236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41212227940559387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3964487314224243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3551056683063507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30139899253845215},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22054025530815125},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17346778512001038},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11039724946022034},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:escidoc.org:escidoc:2078155","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0024-5337-3","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.2312/vmv.20141272","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20141272","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:1522659306","is_oa":false,"landing_page_url":"http://pubman.mpdl.mpg.de/pubman/item/escidoc:2078155","pdf_url":null,"source":{"id":"https://openalex.org/S4306421152","display_name":"Vision Modeling and Visualization","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"Vision Modeling and Visualization","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/vmv.20141272","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20141272","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2091979997","https://openalex.org/W2104741316","https://openalex.org/W1999094915","https://openalex.org/W2053008628","https://openalex.org/W2586300005","https://openalex.org/W256168604","https://openalex.org/W2324393628","https://openalex.org/W2592907689","https://openalex.org/W1604225334","https://openalex.org/W2885406180","https://openalex.org/W2220073422","https://openalex.org/W2211130039","https://openalex.org/W2162409847","https://openalex.org/W2089213173","https://openalex.org/W1640126557","https://openalex.org/W1594269349","https://openalex.org/W2969139878","https://openalex.org/W3183779717","https://openalex.org/W2100570425","https://openalex.org/W2471333313"],"abstract_inverted_index":{"We":[0,149],"propose":[1],"a":[2,56,69,116],"method":[3,94,155],"that":[4,143],"allows":[5,67],"users":[6],"to":[7,88,106,146],"define":[8,37],"flow":[9,114,130,161],"features":[10,74,111],"in":[11,28,72],"form":[12],"of":[13,19,75,112,118,135,153],"patterns":[14,38,49,134],"represented":[15],"as":[16,115],"sparse":[17],"sets":[18],"stream":[20,98,119],"line":[21,120],"segments.":[22,47,121],"Our":[23,48,93],"approach":[24],"finds":[25,140],"''similar''":[26],"occurrences":[27],"the":[29,108,113,151],"same":[30],"or":[31,43],"other":[32],"time":[33],"steps.":[34],"Related":[35],"approaches":[36],"using":[39,80,100,156],"dense,":[40],"local":[41],"stencils":[42],"support":[44],"only":[45],"single":[46],"are":[50,61,144],"defined":[51],"sparsely":[52],"and":[53,63,91,159],"can":[54],"have":[55],"significant":[57],"extent,":[58],"i.e.,":[59],"they":[60],"integration-based":[62],"not":[64],"local.":[65],"This":[66],"for":[68,128],"greater":[70],"flexibility":[71],"defining":[73],"interest.":[76],"Similarity":[77],"is":[78],"measured":[79],"intrinsic":[81],"curve":[82,136],"properties":[83],"only,":[84],"which":[85],"enables":[86],"invariance":[87],"location,":[89],"orientation,":[90],"scale.":[92],"starts":[95],"with":[96],"splitting":[97],"lines":[99],"globally-consistent":[101],"segmentation":[102],"criteria.":[103],"It":[104],"strives":[105],"maintain":[107],"visually":[109],"apparent":[110],"collection":[117],"Most":[122],"importantly,":[123],"it":[124],"provides":[125],"similar":[126,129,141],"segmentations":[127],"structures.":[131],"For":[132],"user-defined":[133],"segments,":[137],"our":[138,154],"algorithm":[139],"ones":[142],"invariant":[145],"similarity":[147],"transformations.":[148],"showcase":[150],"utility":[152],"different":[157],"2D":[158],"3D":[160],"fields.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}