{"id":"https://openalex.org/W3130297307","doi":"https://doi.org/10.1109/tvcg.2021.3061131","title":"Video Vectorization via Bipartite Diffusion Curves Propagation and Optimization","display_name":"Video Vectorization via Bipartite Diffusion Curves Propagation and Optimization","publication_year":2021,"publication_date":"2021-02-23","ids":{"openalex":"https://openalex.org/W3130297307","doi":"https://doi.org/10.1109/tvcg.2021.3061131","mag":"3130297307","pmid":"https://pubmed.ncbi.nlm.nih.gov/33621178"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3061131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3061131","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":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022640746","display_name":"Yuanqi Li","orcid":"https://orcid.org/0000-0003-4100-7471"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqi Li","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-4100-7471","affiliations":[{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443606","display_name":"Chuan Wang","orcid":"https://orcid.org/0000-0002-8559-4519"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Wang","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-8559-4519","affiliations":[{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103027276","display_name":"Jing Hong","orcid":"https://orcid.org/0000-0002-7328-0168"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Hong","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-7328-0168","affiliations":[{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904292","display_name":"Jie Zhu","orcid":"https://orcid.org/0000-0001-9798-3346"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhu","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-9798-3346","affiliations":[{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042385843","display_name":"Jie Guo","orcid":"https://orcid.org/0000-0002-4176-7617"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Guo","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-4176-7617","affiliations":[{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440604","display_name":"Jue Wang","orcid":"https://orcid.org/0000-0002-3641-3136"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jue Wang","raw_affiliation_strings":["Megvii Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009275869","display_name":"Yanwen Guo","orcid":"https://orcid.org/0000-0002-7605-5206"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwen Guo","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-7605-5206","affiliations":[{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668416","display_name":"Wenping Wang","orcid":"https://orcid.org/0000-0002-2284-3952"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenping Wang","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53379784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"28","issue":"9","first_page":"3265","last_page":"3276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7653954029083252},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6380890011787415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122985482215881},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6098936200141907},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5328652858734131},{"id":"https://openalex.org/keywords/vectorization","display_name":"Vectorization (mathematics)","score":0.5023431777954102},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48012328147888184},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.46626386046409607},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.44556936621665955},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37203341722488403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3367827236652374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24268838763237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13970884680747986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653954029083252},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6380890011787415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122985482215881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6098936200141907},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5328652858734131},{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.5023431777954102},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48012328147888184},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.46626386046409607},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.44556936621665955},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37203341722488403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3367827236652374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24268838763237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13970884680747986},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2021.3061131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3061131","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:33621178","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33621178","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}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2342739902","display_name":"\u53cc\u5411\u53cd\u5c04\u5206\u5e03\u51fd\u6570\u7684\u7403\u9762\u7edf\u8ba1\u5206\u6790\u53ca\u5176\u667a\u80fd\u5316\u5e94\u7528\u7814\u7a76","funder_award_id":"61972194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G349092352","display_name":"\u5ba4\u5185\u573a\u666f\u56fe\u50cf\u7684\u5206\u6790\u7406\u89e3\u548c\u4e09\u7ef4\u91cd\u5efa\u53ca\u6a21\u62df\u6280\u672f\u7814\u7a76","funder_award_id":"61772257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8788252494","display_name":null,"funder_award_id":"62032011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1976197162","https://openalex.org/W1988629159","https://openalex.org/W1995035210","https://openalex.org/W2003978569","https://openalex.org/W2015951211","https://openalex.org/W2023950391","https://openalex.org/W2038825728","https://openalex.org/W2039372057","https://openalex.org/W2040555343","https://openalex.org/W2049981393","https://openalex.org/W2062181717","https://openalex.org/W2063155970","https://openalex.org/W2090159818","https://openalex.org/W2099244020","https://openalex.org/W2115931016","https://openalex.org/W2116325296","https://openalex.org/W2118877769","https://openalex.org/W2119823327","https://openalex.org/W2137722745","https://openalex.org/W2141117374","https://openalex.org/W2145023731","https://openalex.org/W2145428617","https://openalex.org/W2151580999","https://openalex.org/W2165939075","https://openalex.org/W2343581768","https://openalex.org/W2396047309","https://openalex.org/W2476548250","https://openalex.org/W2530658473","https://openalex.org/W2534320940","https://openalex.org/W2586404262","https://openalex.org/W2771008866","https://openalex.org/W2793142618","https://openalex.org/W2809859740","https://openalex.org/W2886787375","https://openalex.org/W2889131388","https://openalex.org/W2944744832","https://openalex.org/W2963160369","https://openalex.org/W2963540195","https://openalex.org/W3011071166","https://openalex.org/W3013529009","https://openalex.org/W3136398160","https://openalex.org/W3138711553","https://openalex.org/W4252388141","https://openalex.org/W4253882063","https://openalex.org/W4254086084","https://openalex.org/W6644446452","https://openalex.org/W6677548441","https://openalex.org/W6680529933"],"related_works":["https://openalex.org/W2141028190","https://openalex.org/W2355044006","https://openalex.org/W2145135145","https://openalex.org/W2012799661","https://openalex.org/W4210244968","https://openalex.org/W1972520314","https://openalex.org/W1984227269","https://openalex.org/W2393675395","https://openalex.org/W2371122778","https://openalex.org/W1936004923"],"abstract_inverted_index":{"We":[0,152],"propose":[1],"a":[2,42,115],"new":[3],"video":[4,32,159,167],"vectorization":[5],"approach":[6],"for":[7,158],"converting":[8,126],"videos":[9,118,127],"in":[10,30,49,82],"the":[11,18,80,94,129,147,150],"raster":[12],"format":[13],"to":[14,51,72,128,166],"vector":[15,130],"representation":[16,48,69,131],"with":[17,63,84,132],"benefits":[19],"of":[20,90,96,117,125,149],"resolution":[21],"independence":[22],"and":[23,37,61,87,102,106,139],"compact":[24],"storage.":[25],"Through":[26],"classifying":[27],"extracted":[28],"curves":[29,46,75],"each":[31,100],"frame":[33,101],"into":[34],"salient":[35,91],"ones":[36],"non-salient":[38,74],"ones,":[39],"we":[40],"introduce":[41],"novel":[43],"bipartite":[44,68],"diffusion":[45],"(BDCs)":[47],"order":[50],"preserve":[52],"both":[53],"important":[54],"image":[55],"features":[56],"such":[57,78],"as":[58],"sharp":[59],"boundaries":[60],"regions":[62],"smooth":[64],"color":[65,88],"variation.":[66],"This":[67],"allows":[70],"us":[71],"propagate":[73],"across":[76,103],"frames":[77],"that":[79,120],"propagation,":[81],"conjunction":[83],"geometry":[85],"optimization":[86,89],"curves,":[92],"ensures":[93],"preservation":[95],"fine":[97,140],"details":[98],"within":[99],"different":[104],"frames,":[105],"meanwhile,":[107],"achieves":[108],"good":[109],"spatial-temporal":[110],"coherence.":[111],"Thorough":[112],"experiments":[113],"on":[114],"variety":[116],"show":[119,154],"our":[121,143,161],"method":[122,162],"is":[123],"capable":[124],"low":[133,136],"reconstruction":[134],"errors,":[135],"computational":[137],"cost,":[138],"details,":[141],"demonstrating":[142],"superior":[144],"performance":[145],"over":[146],"state":[148],"art.":[151],"also":[153],"that,":[155],"when":[156],"used":[157],"upsampling,":[160],"produces":[163],"results":[164],"comparable":[165],"super-resolution.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
