{"id":"https://openalex.org/W2336236730","doi":"https://doi.org/10.1145/1401132.1401202","title":"Motion graphs","display_name":"Motion graphs","publication_year":2008,"publication_date":"2008-08-11","ids":{"openalex":"https://openalex.org/W2336236730","doi":"https://doi.org/10.1145/1401132.1401202","mag":"2336236730"},"language":"en","primary_location":{"id":"doi:10.1145/1401132.1401202","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401132.1401202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2008 classes","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/A5111906581","display_name":"Lucas Kovar","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lucas Kovar","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113659970","display_name":"Fr\u00e9d\u00e9ric Pighin","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Pighin","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":236.8639,"has_fulltext":false,"cited_by_count":1068,"citation_normalized_percentile":{"value":0.99993648,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"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/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9977999925613403,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996999979019165,"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":0.6860866546630859},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6166259050369263},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5887752771377563},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4440154433250427},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.42788130044937134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3916604220867157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3619561195373535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36098408699035645},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07024577260017395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860866546630859},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6166259050369263},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5887752771377563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4440154433250427},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.42788130044937134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3916604220867157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3619561195373535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36098408699035645},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07024577260017395}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1401132.1401202","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401132.1401202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2008 classes","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G1244985052","display_name":null,"funder_award_id":"CCR-9984506IIS-0097456","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6556157667","display_name":null,"funder_award_id":"CCR-9984506IIS-0097456","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W107615784","https://openalex.org/W124034341","https://openalex.org/W1495450524","https://openalex.org/W1509851262","https://openalex.org/W1952664243","https://openalex.org/W1970552420","https://openalex.org/W1978208361","https://openalex.org/W1991366868","https://openalex.org/W2017913224","https://openalex.org/W2062165658","https://openalex.org/W2063173511","https://openalex.org/W2083382040","https://openalex.org/W2100549264","https://openalex.org/W2120051910","https://openalex.org/W2120894402","https://openalex.org/W2121231644","https://openalex.org/W2137267908","https://openalex.org/W2138941277","https://openalex.org/W2148941619","https://openalex.org/W2149575677","https://openalex.org/W2151857564","https://openalex.org/W2152377484","https://openalex.org/W2163408698","https://openalex.org/W2243558602","https://openalex.org/W2248685949","https://openalex.org/W2249800031","https://openalex.org/W2293431122","https://openalex.org/W2293741035","https://openalex.org/W2295660824","https://openalex.org/W4241884751","https://openalex.org/W4248675569","https://openalex.org/W6604360534"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"In":[0],"this":[1,80],"paper":[2],"we":[3,20],"present":[4,62],"a":[5,14,23,27,63,73],"novel":[6],"method":[7],"for":[8,66],"creating":[9],"realistic,":[10],"controllable":[11],"motion.":[12],"Given":[13],"corpus":[15],"of":[16,41,43,89,93],"motion":[17,28,37,45],"capture":[18],"data,":[19],"automatically":[21,47],"construct":[22],"directed":[24],"graph":[25,29,38,69],"called":[26],"that":[30,71],"encapsulates":[31],"connections":[32],"among":[33],"the":[34,59,86],"database.":[35],"The":[36],"consists":[39],"both":[40],"pieces":[42],"original":[44],"and":[46],"generated":[48,53],"transitions.":[49],"Motion":[50],"can":[51,82],"be":[52,83],"simply":[54],"by":[55],"building":[56],"walks":[57,70],"on":[58],"graph.":[60],"We":[61,76],"general":[64],"framework":[65,81],"extracting":[67],"particular":[68],"meet":[72],"user's":[74],"specifications.":[75],"then":[77],"show":[78],"how":[79],"applied":[84],"to":[85],"specific":[87],"problem":[88],"generating":[90],"different":[91],"styles":[92],"locomotion":[94],"along":[95],"arbitrary":[96],"paths.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":37},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":32},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":36},{"year":2015,"cited_by_count":51},{"year":2014,"cited_by_count":46},{"year":2013,"cited_by_count":63},{"year":2012,"cited_by_count":59}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
