{"id":"https://openalex.org/W2276803469","doi":"https://doi.org/10.2312/pgv.20151158","title":"Contour Tree Depth Images For Large Data Visualization","display_name":"Contour Tree Depth Images For Large Data Visualization","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2276803469","doi":"https://doi.org/10.2312/pgv.20151158","mag":"2276803469"},"language":"en","primary_location":{"id":"doi:10.2312/pgv.20151158","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20151158","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"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pgv.20151158","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023826409","display_name":"Tim Biedert","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Biedert, Tim","raw_affiliation_strings":["University of Kaiserslautern Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071898071","display_name":"Christoph Garth","orcid":"https://orcid.org/0000-0003-1669-8549"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Garth, Christoph","raw_affiliation_strings":["University of Kaiserslautern Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern Germany","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023826409"],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9979000091552734,"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":0.9947999715805054,"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/visualization","display_name":"Visualization","score":0.8094196319580078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7473194599151611},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6526955366134644},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5767850279808044},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5485178232192993},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5163915753364563},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4614033102989197},{"id":"https://openalex.org/keywords/interactive-visualization","display_name":"Interactive visualization","score":0.45464998483657837},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44636768102645874},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.431563138961792},{"id":"https://openalex.org/keywords/scientific-visualization","display_name":"Scientific visualization","score":0.41134917736053467},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.40262284874916077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3510301113128662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3364524245262146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3247032165527344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09045648574829102}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8094196319580078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7473194599151611},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6526955366134644},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5767850279808044},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5485178232192993},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5163915753364563},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4614033102989197},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.45464998483657837},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44636768102645874},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.431563138961792},{"id":"https://openalex.org/C59740354","wikidata":"https://www.wikidata.org/wiki/Q2737866","display_name":"Scientific visualization","level":3,"score":0.41134917736053467},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.40262284874916077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3510301113128662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3364524245262146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3247032165527344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09045648574829102},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/pgv.20151158","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20151158","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"}],"best_oa_location":{"id":"doi:10.2312/pgv.20151158","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20151158","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":35,"referenced_works":["https://openalex.org/W1567502308","https://openalex.org/W1979176272","https://openalex.org/W1985289718","https://openalex.org/W1987698555","https://openalex.org/W1995224664","https://openalex.org/W1995372349","https://openalex.org/W2006237128","https://openalex.org/W2010585683","https://openalex.org/W2011483870","https://openalex.org/W2011658854","https://openalex.org/W2011751494","https://openalex.org/W2031039416","https://openalex.org/W2038809843","https://openalex.org/W2039236219","https://openalex.org/W2041272668","https://openalex.org/W2050439505","https://openalex.org/W2068248897","https://openalex.org/W2070784608","https://openalex.org/W2075361578","https://openalex.org/W2082234580","https://openalex.org/W2083586903","https://openalex.org/W2091677960","https://openalex.org/W2095326847","https://openalex.org/W2102858796","https://openalex.org/W2106275081","https://openalex.org/W2112812291","https://openalex.org/W2121610087","https://openalex.org/W2123207641","https://openalex.org/W2135609792","https://openalex.org/W2142822968","https://openalex.org/W2145347746","https://openalex.org/W2151882909","https://openalex.org/W2154393589","https://openalex.org/W2157701289","https://openalex.org/W2996970619"],"related_works":["https://openalex.org/W1987698555","https://openalex.org/W1984101266","https://openalex.org/W2514936923","https://openalex.org/W2020229924","https://openalex.org/W1964661732","https://openalex.org/W1856639727","https://openalex.org/W1518184503","https://openalex.org/W2294426900","https://openalex.org/W3029351476","https://openalex.org/W2010601268","https://openalex.org/W1027454279","https://openalex.org/W2110237082","https://openalex.org/W2524439961","https://openalex.org/W2106641146","https://openalex.org/W62592084","https://openalex.org/W2624545308","https://openalex.org/W2162088277","https://openalex.org/W1725558581","https://openalex.org/W1986492178","https://openalex.org/W2156709134"],"abstract_inverted_index":{"High-fidelity":[0],"simulation":[1],"models":[2],"on":[3],"large-scale":[4],"parallel":[5],"computer":[6],"systems":[7],"can":[8],"produce":[9],"data":[10,51,94],"at":[11],"high":[12],"computational":[13],"throughput,":[14],"but":[15],"modern":[16],"architectural":[17],"trade-offs":[18],"make":[19],"full":[20],"persistent":[21],"storage":[22,63,87],"to":[23,32,53],"the":[24,36],"slow":[25],"I/O":[26],"subsystem":[27],"prohibitively":[28],"costly":[29],"with":[30],"respect":[31],"time.":[33],"We":[34],"demonstrate":[35],"feasibility":[37],"and":[38,48,76,83,89],"potential":[39],"of":[40],"combining":[41],"in":[42,62],"situ":[43],"topological":[44],"contour":[45],"tree":[46],"analysis":[47],"compact":[49],"image-based":[50],"representation":[52],"address":[54],"this":[55],"problem.":[56],"Our":[57,78],"experiments":[58],"show":[59],"significant":[60],"reductions":[61],"requirements":[64],"using":[65],"topology-guided":[66],"layered":[67],"depth":[68],"imaging,":[69],"while":[70],"preserving":[71],"flexibility":[72],"for":[73,92],"explorative":[74],"visualization":[75,90],"analysis.":[77],"approach":[79],"represents":[80],"an":[81],"effective":[82],"easy-to-control":[84],"trade-off":[85],"between":[86],"overhead":[88],"fidelity":[91],"large":[93],"visualization.":[95]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}