{"id":"https://openalex.org/W2055969713","doi":"https://doi.org/10.1145/2499788.2499861","title":"Correspondence construction for cartoon animation via sparse coding","display_name":"Correspondence construction for cartoon animation via sparse coding","publication_year":2013,"publication_date":"2013-08-17","ids":{"openalex":"https://openalex.org/W2055969713","doi":"https://doi.org/10.1145/2499788.2499861","mag":"2055969713"},"language":"en","primary_location":{"id":"doi:10.1145/2499788.2499861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100707512","display_name":"Jianming Wang","orcid":"https://orcid.org/0000-0003-4719-1687"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianming Wang","raw_affiliation_strings":["Xiamen University, Xiamen, China","Xiamen University, Xiamen, CHINA"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen University, Xiamen, CHINA","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Xiamen University, Xiamen, China","Xiamen University, Xiamen, CHINA"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen University, Xiamen, CHINA","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100707512"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1227489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9958000183105469,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9958000183105469,"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":0.9927999973297119,"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/T12290","display_name":"Human Motion and Animation","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8058031797409058},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.7108913660049438},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6024446487426758},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5899147987365723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5629084706306458},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5263665318489075},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5062581896781921},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4775857925415039},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.47218313813209534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4472985565662384},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.43076086044311523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.364179790019989},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3114601969718933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12683603167533875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058031797409058},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.7108913660049438},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6024446487426758},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5899147987365723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5629084706306458},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5263665318489075},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5062581896781921},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4775857925415039},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.47218313813209534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4472985565662384},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.43076086044311523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.364179790019989},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3114601969718933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12683603167533875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2499788.2499861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G3240254320","display_name":null,"funder_award_id":"2012J01287","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5050714285","display_name":null,"funder_award_id":"NECT-12-0323","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G5643578051","display_name":null,"funder_award_id":"61100104","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"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W103319772","https://openalex.org/W1966590488","https://openalex.org/W1970104261","https://openalex.org/W1971771186","https://openalex.org/W2001619934","https://openalex.org/W2006904655","https://openalex.org/W2021003221","https://openalex.org/W2032355985","https://openalex.org/W2042708146","https://openalex.org/W2053186076","https://openalex.org/W2057175746","https://openalex.org/W2063978378","https://openalex.org/W2064210461","https://openalex.org/W2077776048","https://openalex.org/W2094579227","https://openalex.org/W2100968369","https://openalex.org/W2110226872","https://openalex.org/W2112737239","https://openalex.org/W2126973728","https://openalex.org/W2132822263","https://openalex.org/W2135046866","https://openalex.org/W2139343345","https://openalex.org/W2143357187","https://openalex.org/W2151103935","https://openalex.org/W2152756885","https://openalex.org/W2156718197","https://openalex.org/W2166168249","https://openalex.org/W2488792907","https://openalex.org/W4212991200"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W4310844315","https://openalex.org/W2532377291","https://openalex.org/W2000013817","https://openalex.org/W4296190881","https://openalex.org/W3097449145","https://openalex.org/W2561617217","https://openalex.org/W2366362996","https://openalex.org/W2517624617","https://openalex.org/W2375795576"],"abstract_inverted_index":{"In":[0,34],"2D":[1],"animation,":[2],"it":[3],"is":[4,22,154,171],"a":[5,23,58,87],"tedious":[6],"task":[7],"and":[8,82,170],"time-consuming":[9],"that":[10],"drawing":[11],"in-betweens":[12],"for":[13,26,49],"the":[14,29,44,62,120,127,139,160,175],"animator.":[15],"Correspondence":[16],"construction":[17,55,165],"between":[18,105],"two":[19,106],"key":[20],"frames":[21],"necessary":[24],"condition":[25],"auto-inbetween":[27],"in":[28,67,70,76,86,100,166],"computer":[30],"animation":[31],"auxiliary":[32],"system.":[33],"this":[35],"paper,":[36],"we":[37,91,130],"combine":[38],"patch":[39,101],"alignment":[40],"framework":[41,176],"(PAF)":[42],"with":[43],"idea":[45],"of":[46,64,96,122,144,163,177],"sparse":[47,93],"coding":[48,94],"correspondence":[50,123,164],"construction.":[51,102,124],"Specifically,":[52],"local":[53,74,184],"patches":[54,75,85],"can":[56,108,117],"have":[57],"large":[59],"impact":[60],"on":[61,79,148,156],"accuracy":[63,162],"correspondence.":[65],"Therefore,":[66],"our":[68,149,167],"framework,":[69,129,169],"order":[71],"to":[72,137,182],"construct":[73,183],"each":[77],"point":[78],"an":[80],"object":[81],"align":[83],"these":[84],"new":[88],"feature":[89],"space,":[90],"adopt":[92],"instead":[95],"k-nearest":[97,179],"neighbor":[98,180],"method":[99,136],"The":[103],"correspondences":[104],"objects":[107],"be":[109],"detected":[110],"by":[111],"subsequent":[112],"clustering":[113],"method.":[114],"This":[115],"approach":[116],"efficiently":[118],"improves":[119],"performance":[121],"To":[125],"optimize":[126],"proposed":[128],"use":[131],"least":[132],"angle":[133],"regression":[134],"(LARS)":[135],"overcome":[138],"slow":[140],"operating":[141],"efficiency":[142],"problem":[143],"lasso.":[145],"Experimental":[146],"results":[147],"cartoon":[150],"data":[151],"set":[152],"which":[153],"built":[155],"industrial":[157],"production":[158],"suggest":[159],"advanced":[161],"improved":[168],"even":[172],"better":[173],"than":[174],"using":[178],"algorithm":[181],"patches.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}