{"id":"https://openalex.org/W3020591771","doi":"https://doi.org/10.1109/access.2020.2989430","title":"Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases","display_name":"Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3020591771","doi":"https://doi.org/10.1109/access.2020.2989430","mag":"3020591771"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2989430","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989430","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075997.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075997.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020917892","display_name":"Pengjie Wang","orcid":"https://orcid.org/0000-0003-1276-9776"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjie Wang","raw_affiliation_strings":["School of Computer Science, Dalian Minzu University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351623","display_name":"Jiang Wang","orcid":"https://orcid.org/0000-0003-0012-1729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang Wang","raw_affiliation_strings":["PYDDot Technology Company, Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PYDDot Technology Company, Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoming Wei","orcid":"https://orcid.org/0000-0002-6788-4790"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Wei","raw_affiliation_strings":["School of Computer Science, Dalian Minzu University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-6788-4790","affiliations":[{"raw_affiliation_string":"School of Computer Science, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101611041","display_name":"Jiana Meng","orcid":"https://orcid.org/0000-0002-7220-5748"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiana Meng","raw_affiliation_strings":["School of Computer Science, Dalian Minzu University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jing Xun","orcid":"https://orcid.org/0000-0001-7995-5181"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xun","raw_affiliation_strings":["School of Computer Science, Dalian Minzu University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-7995-5181","affiliations":[{"raw_affiliation_string":"School of Computer Science, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04063516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"78932","last_page":"78941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9997000098228455,"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":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.8156600594520569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225080728530884},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6017130613327026},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5481538772583008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5336849093437195},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5112791061401367},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4764947295188904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4697810709476471},{"id":"https://openalex.org/keywords/trellis","display_name":"Trellis (graph)","score":0.462807834148407},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.46054691076278687},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.45788514614105225},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.45539185404777527},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4408239722251892},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4298044443130493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42471417784690857},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29297009110450745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27619534730911255},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.15345710515975952},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.09340307116508484}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8156600594520569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225080728530884},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6017130613327026},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5481538772583008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5336849093437195},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5112791061401367},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4764947295188904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4697810709476471},{"id":"https://openalex.org/C2781235587","wikidata":"https://www.wikidata.org/wiki/Q7838009","display_name":"Trellis (graph)","level":3,"score":0.462807834148407},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.46054691076278687},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.45788514614105225},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.45539185404777527},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4408239722251892},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4298044443130493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42471417784690857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29297009110450745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27619534730911255},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.15345710515975952},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.09340307116508484},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2989430","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989430","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075997.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:12da9b2fb90d49debbe1bdb9447e8e06","is_oa":true,"landing_page_url":"https://doaj.org/article/12da9b2fb90d49debbe1bdb9447e8e06","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 78932-78941 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2989430","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989430","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075997.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G8641350181","display_name":null,"funder_award_id":"2014M561228","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3020591771.pdf","grobid_xml":"https://content.openalex.org/works/W3020591771.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W46965012","https://openalex.org/W1500758097","https://openalex.org/W1590549688","https://openalex.org/W1832501911","https://openalex.org/W1853994148","https://openalex.org/W1968885647","https://openalex.org/W1986626334","https://openalex.org/W2002520467","https://openalex.org/W2020647726","https://openalex.org/W2022277982","https://openalex.org/W2022422341","https://openalex.org/W2027089938","https://openalex.org/W2027293474","https://openalex.org/W2029903115","https://openalex.org/W2052429031","https://openalex.org/W2086504823","https://openalex.org/W2094779965","https://openalex.org/W2096502562","https://openalex.org/W2100549264","https://openalex.org/W2101418199","https://openalex.org/W2104206102","https://openalex.org/W2108050150","https://openalex.org/W2108891011","https://openalex.org/W2110455446","https://openalex.org/W2111434960","https://openalex.org/W2113432248","https://openalex.org/W2115938776","https://openalex.org/W2118461544","https://openalex.org/W2125178881","https://openalex.org/W2126086954","https://openalex.org/W2126299810","https://openalex.org/W2130293342","https://openalex.org/W2132652252","https://openalex.org/W2137053319","https://openalex.org/W2140334624","https://openalex.org/W2140427811","https://openalex.org/W2142265837","https://openalex.org/W2145353882","https://openalex.org/W2153124156","https://openalex.org/W2158540005","https://openalex.org/W2159009096","https://openalex.org/W2162839010","https://openalex.org/W2163570867","https://openalex.org/W2164030956","https://openalex.org/W2164566630","https://openalex.org/W2168694323","https://openalex.org/W2186775481","https://openalex.org/W2249800031","https://openalex.org/W2577358469","https://openalex.org/W2597604603","https://openalex.org/W2750203443","https://openalex.org/W2965631471","https://openalex.org/W2984490761","https://openalex.org/W3009889461","https://openalex.org/W3141003708","https://openalex.org/W3143657329","https://openalex.org/W4240608573","https://openalex.org/W4248876013","https://openalex.org/W6642381627","https://openalex.org/W6646006973","https://openalex.org/W6676093512","https://openalex.org/W6679808693","https://openalex.org/W6684165411","https://openalex.org/W6687131763","https://openalex.org/W6888447284"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2132748176","https://openalex.org/W2053820737","https://openalex.org/W1965251897","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2114253841","https://openalex.org/W2105413810","https://openalex.org/W13825435"],"abstract_inverted_index":{"In":[0],"this":[1,106],"paper,":[2],"we":[3,34,48,109],"propose":[4],"the":[5,13,21,26,37,44,61,80,90,111,117,124],"motion":[6,18,27,45],"recurring":[7],"pattern":[8],"analysis":[9],"(MRPA)":[10],"method":[11],"for":[12,83],"lossless":[14,137],"representation":[15],"of":[16,25,29,68,103],"a":[17,40,55,75,93,101,144],"database":[19],"at":[20],"segment":[22],"level":[23],"instead":[24],"degree":[28],"freedom":[30],"(DOF)":[31],"level.":[32],"First,":[33],"concatenate":[35],"all":[36],"motions":[38],"into":[39,100],"long":[41],"sequence":[42],"in":[43],"database,":[46],"and":[47,120,123],"discover":[49],"similar":[50],"posture":[51],"paths":[52,69],"by":[53,88],"building":[54],"matching":[56],"trellis":[57],"structure":[58],"based":[59,73],"on":[60,74],"randomized":[62],"k-d":[63],"tree.":[64],"Second,":[65],"horizontal":[66],"segments":[67,97],"are":[70,98,129],"suitably":[71],"refined,":[72],"self-organizing":[76],"map,":[77],"to":[78,135],"obtain":[79,110],"optimized":[81],"segmentation":[82],"maximum":[84],"compression":[85,138,146],"gains.":[86],"Third,":[87],"using":[89],"path":[91],"as":[92],"connection":[94],"agent,":[95],"these":[96],"clustered":[99],"forest":[102,107],"trees.":[104],"With":[105],"structure,":[108],"prediction":[112],"residuals":[113,128],"(the":[114],"differences":[115,125],"between":[116,126],"nonroot":[118],"branches":[119],"their":[121],"parents),":[122],"neighboring":[127],"encoded":[130],"under":[131],"floating-point":[132],"compression.":[133],"Relative":[134],"previous":[136],"methods,":[139],"our":[140],"approach":[141],"can":[142],"achieve":[143],"higher":[145],"ratio":[147],"with":[148],"comparable":[149],"decompression":[150],"time":[151],"costs.":[152]},"counts_by_year":[],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}