{"id":"https://openalex.org/W4417529445","doi":"https://doi.org/10.1109/tvcg.2026.3694447","title":"Enhancing Line Density Plots with Outlier Control and Bin-Based Illumination","display_name":"Enhancing Line Density Plots with Outlier Control and Bin-Based Illumination","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W4417529445","doi":"https://doi.org/10.1109/tvcg.2026.3694447","pmid":"https://pubmed.ncbi.nlm.nih.gov/42154687"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2026.3694447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2026.3694447","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.16017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103268247","display_name":"Yumeng Xue","orcid":"https://orcid.org/0000-0002-8195-517X"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yumeng Xue","raw_affiliation_strings":["University of Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8195-517X","affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Chen","orcid":"https://orcid.org/0009-0005-5047-214X"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["University of Konstanz, Germany"],"raw_orcid":"https://orcid.org/0009-0005-5047-214X","affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087499523","display_name":"Patrick Paetzold","orcid":"https://orcid.org/0000-0002-1315-4602"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Paetzold","raw_affiliation_strings":["University of Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1315-4602","affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068526974","display_name":"Yunhai Wang","orcid":"https://orcid.org/0000-0003-0059-6580"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhai Wang","raw_affiliation_strings":["Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0003-0059-6580","affiliations":[{"raw_affiliation_string":"Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058678073","display_name":"Christophe Hurter","orcid":"https://orcid.org/0000-0003-4318-6717"},"institutions":[{"id":"https://openalex.org/I100296615","display_name":"\u00c9cole Nationale de l\u2019Aviation Civile","ror":"https://ror.org/022zdgq74","country_code":"FR","type":"education","lineage":["https://openalex.org/I100296615"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Hurter","raw_affiliation_strings":["ENAC, Universit&#x00E9; de Toulouse, France"],"raw_orcid":"https://orcid.org/0000-0003-4318-6717","affiliations":[{"raw_affiliation_string":"ENAC, Universit&#x00E9; de Toulouse, France","institution_ids":["https://openalex.org/I100296615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036489223","display_name":"Oliver Deu\u00dfen","orcid":"https://orcid.org/0000-0001-5803-2185"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Deussen","raw_affiliation_strings":["University of Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5803-2185","affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01999726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"6","first_page":"4785","last_page":"4795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.5069000124931335,"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":0.5069000124931335,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.4065000116825104,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.015200000256299973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7221999764442444},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6837999820709229},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5770999789237976},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.524399995803833},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5048999786376953},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.501800000667572},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4699000120162964},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.4318000078201294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38830000162124634}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7221999764442444},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6837999820709229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791000127792358},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655999779701233},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.524399995803833},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5048999786376953},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.501800000667572},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45660001039505005},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.4318000078201294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38100001215934753},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.36959999799728394},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3653999865055084},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2632000148296356}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tvcg.2026.3694447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2026.3694447","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:42154687","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42154687","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:2512.16017","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.16017","pdf_url":"https://arxiv.org/pdf/2512.16017","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"},{"id":"pmh:oai:arXiv.org:2512.16017","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2512.16017","pdf_url":"https://arxiv.org/pdf/2512.16017","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/77651","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-t0h5k6ua7lpe6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics. IEEE. 2026, 32(6), S. 4785-4795. ISSN 1077-2626. eISSN 1941-0506. Verf\u00fcgbar unter: doi: 10.1109/TVCG.2026.3694447","raw_type":"doc-type:article"},{"id":"doi:10.48550/arxiv.2512.16017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.16017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.16017","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.16017","pdf_url":"https://arxiv.org/pdf/2512.16017","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2987452930","display_name":null,"funder_award_id":"251654672 - TRR 161","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3248486410","display_name":null,"funder_award_id":"U2436209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4165115172","display_name":null,"funder_award_id":"ZQ2022JQ32","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7309405818","display_name":"Perzeptionsbasierte Informationsvisualisierung","funder_award_id":"410883423","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8783846746","display_name":null,"funder_award_id":"62132017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Density":[0],"plots":[1,34],"effectively":[2],"summarize":[3],"large":[4],"numbers":[5],"of":[6],"points,":[7],"which":[8],"would":[9],"otherwise":[10],"lead":[11],"to":[12,24,60,78,99,105,116,161],"severe":[13],"overplotting":[14],"in,":[15],"for":[16,159],"example,":[17],"a":[18,51,74,87,125],"scatter":[19],"plot.":[20],"However,":[21],"when":[22],"applied":[23],"line-based":[25],"datasets,":[26,137],"such":[27],"as":[28,38],"trajectories":[29],"or":[30,123],"time":[31],"series,":[32],"density":[33,59],"alone":[35],"are":[36],"insufficient,":[37],"they":[39],"disrupt":[40],"path":[41],"continuity,":[42],"obscuring":[43],"smooth":[44],"trends":[45,104],"and":[46,63,91,155],"rare":[47],"anomalies.":[48],"We":[49,72,130],"propose":[50],"bin-based":[52,75],"illumination":[53],"model":[54],"that":[55],"decouples":[56],"structure":[57],"from":[58],"enhance":[61],"flow":[62],"reveal":[64],"sparse":[65],"outliers":[66],"while":[67],"preserving":[68],"the":[69,96,128],"original":[70],"colormap.":[71],"introduce":[73],"outlierness":[76],"metric":[77],"rank":[79],"trajectories.":[80],"Guided":[81],"by":[82,143],"this":[83],"ranking,":[84],"we":[85],"construct":[86],"structural":[88],"normal":[89],"map":[90],"apply":[92],"locally-adaptive":[93],"lighting":[94],"in":[95],"luminance":[97],"channel":[98],"highlight":[100],"chosen":[101],"patterns-from":[102],"dominant":[103],"atypical":[106],"paths-with":[107],"acceptable":[108],"color":[109,150],"distortion.":[110],"Our":[111],"interactive":[112,157],"method":[113,133],"enables":[114],"analysts":[115],"prioritize":[117],"main":[118],"trends,":[119],"focus":[120],"on":[121,134],"outliers,":[122],"strike":[124],"balance":[126],"between":[127],"two.":[129],"demonstrate":[131],"our":[132],"several":[135],"real-world":[136],"showing":[138],"it":[139],"reveals":[140],"details":[141],"missed":[142],"simpler":[144],"alternatives,":[145],"achieves":[146],"significantly":[147],"lower":[148],"CIEDE2000":[149],"distortion":[151],"than":[152],"standard":[153],"shading,":[154],"supports":[156],"updates":[158],"up":[160],"10,000":[162],"lines.":[163]},"counts_by_year":[],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-12-21T00:00:00"}
