{"id":"https://openalex.org/W4404520046","doi":"https://doi.org/10.1145/3681758.3698003","title":"Fast Leak-Resistant Segmentation for Anime Line Art","display_name":"Fast Leak-Resistant Segmentation for Anime Line Art","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404520046","doi":"https://doi.org/10.1145/3681758.3698003"},"language":"en","primary_location":{"id":"doi:10.1145/3681758.3698003","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681758.3698003","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681758.3698003","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Technical Communications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3681758.3698003","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107859436","display_name":"Benjamin Allen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjamin Allen","raw_affiliation_strings":["OLM Digital, Inc., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0009-8163-4104","affiliations":[{"raw_affiliation_string":"OLM Digital, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082120612","display_name":"Akinobu Maejima","orcid":"https://orcid.org/0000-0002-8005-9218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akinobu Maejima","raw_affiliation_strings":["OLM Digital, Inc., Tokyo, Japan and IMAGICA GROUP Inc., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8005-9218","affiliations":[{"raw_affiliation_string":"OLM Digital, Inc., Tokyo, Japan and IMAGICA GROUP Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113939740","display_name":"Ken Anjyo","orcid":"https://orcid.org/0000-0001-9528-1754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ken Anjyo","raw_affiliation_strings":["OLM Digital, Inc., Tokyo, Japan and IMAGICA GROUP Inc., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9528-1754","affiliations":[{"raw_affiliation_string":"OLM Digital, Inc., Tokyo, Japan and IMAGICA GROUP Inc., Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5259,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71405929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.992900013923645,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.992900013923645,"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":0.9879999756813049,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9876000285148621,"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/anime","display_name":"Anime","score":0.7787144184112549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398931741714478},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.492197185754776},{"id":"https://openalex.org/keywords/leak","display_name":"Leak","score":0.4845080077648163},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4827396273612976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48054033517837524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4101142883300781},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14563170075416565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08125674724578857}],"concepts":[{"id":"https://openalex.org/C118130439","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Anime","level":2,"score":0.7787144184112549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398931741714478},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.492197185754776},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.4845080077648163},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4827396273612976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48054033517837524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4101142883300781},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14563170075416565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08125674724578857},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3681758.3698003","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681758.3698003","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681758.3698003","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Technical Communications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3681758.3698003","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681758.3698003","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681758.3698003","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Technical Communications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404520046.pdf","grobid_xml":"https://content.openalex.org/works/W4404520046.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2061702899","https://openalex.org/W2137722745","https://openalex.org/W2471171957","https://openalex.org/W2474143829","https://openalex.org/W2963336115","https://openalex.org/W3123955613","https://openalex.org/W4281286199","https://openalex.org/W4286611080","https://openalex.org/W4294892032","https://openalex.org/W4401173838"],"related_works":["https://openalex.org/W2075421999","https://openalex.org/W4241725891","https://openalex.org/W4400692277","https://openalex.org/W4247978692","https://openalex.org/W592941694","https://openalex.org/W4200085573","https://openalex.org/W4296571029","https://openalex.org/W4248856211","https://openalex.org/W2270259880","https://openalex.org/W2811407232"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,19,29],"fast":[3],"leak-resistant":[4],"automatic":[5],"segmentation":[6],"method":[7],"for":[8],"line":[9,40],"art":[10,41],"with":[11,28,44],"gaps.Using":[12],"the":[13,51],"existing":[14],"trapped-ball":[15],"idea,":[16],"we":[17],"develop":[18],"fair,":[20],"prioritized":[21],"flood-fill":[22],"that":[23],"avoids":[24],"artifacts,":[25],"augment":[26],"it":[27],"heuristic":[30],"region":[31],"merging":[32],"strategy":[33],"and":[34],"obtain":[35],"robust":[36],"results":[37],"on":[38],"anime":[39],"minimizing":[42],"over-segmentation,":[43],"consistent":[45],"performance":[46],"5-10":[47],"times":[48],"faster":[49],"than":[50],"baseline":[52],"method.":[53]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
