{"id":"https://openalex.org/W2741009386","doi":"https://doi.org/10.1145/3092919.3092923","title":"Quantifying visual abstraction quality for stipple drawings","display_name":"Quantifying visual abstraction quality for stipple drawings","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741009386","doi":"https://doi.org/10.1145/3092919.3092923","mag":"2741009386"},"language":"en","primary_location":{"id":"doi:10.1145/3092919.3092923","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3092919.3092923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Non-Photorealistic Animation and Rendering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/f2285057-ba15-47b1-b8e5-b55af826acdd/content","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031081894","display_name":"Marc Spicker","orcid":"https://orcid.org/0000-0002-3848-6101"},"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":true,"raw_author_name":"Marc Spicker","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002045136","display_name":"Franz Hahn","orcid":"https://orcid.org/0000-0002-5984-7543"},"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":"Franz Hahn","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034103348","display_name":"Thomas Lindemeier","orcid":"https://orcid.org/0009-0003-7715-8439"},"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":"Thomas Lindemeier","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008717316","display_name":"Dietmar Saupe","orcid":"https://orcid.org/0000-0001-6735-5103"},"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":"Dietmar Saupe","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"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, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031081894"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":0.4622,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72931146,"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":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9923999905586243,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9923999905586243,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.8523244857788086},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.8018155097961426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352914810180664},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6508105993270874},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.539050281047821},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5274686217308044},{"id":"https://openalex.org/keywords/psychophysics","display_name":"Psychophysics","score":0.5209499597549438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49282363057136536},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4576011002063751},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.454424649477005},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42741119861602783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3838503956794739},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3760438561439514},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3331919014453888},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3312665820121765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31834980845451355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22411876916885376},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11258000135421753}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8523244857788086},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.8018155097961426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352914810180664},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6508105993270874},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.539050281047821},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5274686217308044},{"id":"https://openalex.org/C15123163","wikidata":"https://www.wikidata.org/wiki/Q500096","display_name":"Psychophysics","level":3,"score":0.5209499597549438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49282363057136536},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4576011002063751},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.454424649477005},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42741119861602783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3838503956794739},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3760438561439514},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3331919014453888},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3312665820121765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31834980845451355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22411876916885376},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11258000135421753},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3092919.3092923","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3092919.3092923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Non-Photorealistic Animation and Rendering","raw_type":"proceedings-article"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/41091","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1jea79squfrk79","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/f2285057-ba15-47b1-b8e5-b55af826acdd/content","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":"SPENCER,  Stephen N.,  ed.. Proceedings of the Symposium on Non-Photorealistic Animation and Rendering : NPAR '17. New York, NY: ACM Press, 2017, 8. ISBN 978-1-4503-5081-5. Available under: doi: 10.1145/3092919.3092923","raw_type":"doc-type:Text"}],"best_oa_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/41091","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1jea79squfrk79","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/f2285057-ba15-47b1-b8e5-b55af826acdd/content","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":"SPENCER,  Stephen N.,  ed.. Proceedings of the Symposium on Non-Photorealistic Animation and Rendering : NPAR '17. New York, NY: ACM Press, 2017, 8. ISBN 978-1-4503-5081-5. Available under: doi: 10.1145/3092919.3092923","raw_type":"doc-type:Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3986208109","display_name":null,"funder_award_id":"SFB/Transregio 16","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6476343658","display_name":null,"funder_award_id":"SFB/Transregio 161","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741009386.pdf","grobid_xml":"https://content.openalex.org/works/W2741009386.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W182792914","https://openalex.org/W207603511","https://openalex.org/W1500396477","https://openalex.org/W1511103722","https://openalex.org/W1565654142","https://openalex.org/W1575893788","https://openalex.org/W1608649968","https://openalex.org/W1949897911","https://openalex.org/W1967724149","https://openalex.org/W1969874727","https://openalex.org/W1978421850","https://openalex.org/W1984609374","https://openalex.org/W1998833966","https://openalex.org/W2004475050","https://openalex.org/W2005815123","https://openalex.org/W2011172006","https://openalex.org/W2014169024","https://openalex.org/W2019187323","https://openalex.org/W2033442452","https://openalex.org/W2043523210","https://openalex.org/W2049153601","https://openalex.org/W2052412604","https://openalex.org/W2059679904","https://openalex.org/W2065653612","https://openalex.org/W2066042461","https://openalex.org/W2071639736","https://openalex.org/W2076832852","https://openalex.org/W2091046836","https://openalex.org/W2097511706","https://openalex.org/W2118558730","https://openalex.org/W2123341385","https://openalex.org/W2150593711","https://openalex.org/W2158516590","https://openalex.org/W2158549830","https://openalex.org/W2160960909","https://openalex.org/W2170807010","https://openalex.org/W2206362548","https://openalex.org/W2322584079","https://openalex.org/W2333706449","https://openalex.org/W4230673942"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"We":[0,105],"investigate":[1],"how":[2],"the":[3,13,31,69,77,109],"perceived":[4,70,102],"abstraction":[5,103],"quality":[6,33,55,71],"of":[7,15,34,72,79,99,111],"stipple":[8,112],"illustrations":[9],"is":[10,23,65,115],"related":[11,86],"to":[12,18,25,52,67,87,118],"number":[14,110],"points":[16,100,113],"used":[17],"create":[19],"them.":[20],"Since":[21],"it":[22,64],"difficult":[24],"find":[26],"objective":[27],"functions":[28],"that":[29,63,114],"quantify":[30],"visual":[32],"such":[35],"illustrations,":[36],"we":[37,61],"gather":[38],"comparative":[39],"data":[40],"by":[41],"a":[42,48,94],"crowdsourcing":[43],"user":[44],"study":[45,60],"and":[46,92,101],"employ":[47],"paired":[49],"comparison":[50],"model":[51],"deduce":[53],"absolute":[54],"values.":[56],"Based":[57],"on":[58,76],"this":[59],"show":[62],"possible":[66],"predict":[68],"stippled":[73],"representations":[74],"based":[75],"properties":[78],"an":[80,120],"input":[81,121],"image.":[82],"Our":[83],"results":[84],"are":[85],"Weber-Fechner's":[88],"law":[89],"from":[90],"psychophysics":[91],"indicate":[93],"logarithmic":[95],"relation":[96],"between":[97],"numbers":[98],"quality.":[104],"give":[106],"guidance":[107],"for":[108],"typically":[116],"enough":[117],"represent":[119],"image":[122],"well.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
