{"id":"https://openalex.org/W3042628600","doi":"https://doi.org/10.1145/3377475","title":"Spatio-temporal Segmentation Based Adaptive Compression of Dynamic Mesh Sequences","display_name":"Spatio-temporal Segmentation Based Adaptive Compression of Dynamic Mesh Sequences","publication_year":2020,"publication_date":"2020-02-29","ids":{"openalex":"https://openalex.org/W3042628600","doi":"https://doi.org/10.1145/3377475","mag":"3042628600"},"language":"en","primary_location":{"id":"doi:10.1145/3377475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377475","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5073031751","display_name":"Guoliang Luo","orcid":"https://orcid.org/0000-0003-2028-8825"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Luo","raw_affiliation_strings":["East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-2028-8825","affiliations":[{"raw_affiliation_string":"East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107984555","display_name":"Zhigang Deng","orcid":"https://orcid.org/0000-0003-2571-5865"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhigang Deng","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101821628","display_name":"Xin Zhao","orcid":"https://orcid.org/0000-0002-8567-3575"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["East China Jiaotong University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015279307","display_name":"Xiaogang Jin","orcid":"https://orcid.org/0000-0001-7339-2920"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Jin","raw_affiliation_strings":["State Key Lab of CAD8CG, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD8CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660205","display_name":"Wei Zeng","orcid":"https://orcid.org/0000-0002-5600-8824"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zeng","raw_affiliation_strings":["Jiangxi Normal University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035973563","display_name":"Wenqiang Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Xie","raw_affiliation_strings":["Jiangxi Normal University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107431688","display_name":"Hyewon Seo","orcid":"https://orcid.org/0000-0001-8851-0256"},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hyewon Seo","raw_affiliation_strings":["University of Strasbourg, Strasbourg, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I68947357"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4872,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94216614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9955000281333923,"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":0.7419474124908447},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7395129799842834},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6578812599182129},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5561667680740356},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4906229078769684},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.4775020480155945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47458600997924805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4709901511669159},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.43535569310188293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3914738893508911},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18281441926956177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419474124908447},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7395129799842834},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6578812599182129},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5561667680740356},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4906229078769684},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.4775020480155945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47458600997924805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4709901511669159},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.43535569310188293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3914738893508911},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18281441926956177},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3377475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377475","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03018359v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03018359","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications and Applications, 2020, &#x27E8;10.1145/3377475&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:univoak.eu:islandora_110699","is_oa":false,"landing_page_url":"https://univoak.eu/islandora/object/islandora%3A110699","pdf_url":null,"source":{"id":"https://openalex.org/S4306402449","display_name":"univOAK (4 institutions : Universit\u00e9 de Strasbourg, Universit\u00e9 de Haute Alsace, INSA Strasbourg, Biblioth\u00e8que Nationale et Universitaire de Strasbourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210100283","host_organization_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","host_organization_lineage":["https://openalex.org/I4210100283"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:univoak.eu:islandora_116988","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402449","display_name":"univOAK (4 institutions : Universit\u00e9 de Strasbourg, Universit\u00e9 de Haute Alsace, INSA Strasbourg, Biblioth\u00e8que Nationale et Universitaire de Strasbourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210100283","host_organization_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","host_organization_lineage":["https://openalex.org/I4210100283"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1964037165","display_name":"Human4D: Acquisition, Analysis and Synthesis of Human Body Shape in Motion","funder_award_id":"ANR-19-CE23-0020","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G1991393935","display_name":"\u6837\u672c\u76f8\u4f3c\u5ea6\u6291\u5236\u7684\u5927\u5c3a\u5ea6\u4e09\u7ef4\u4eba\u8138\u5408\u6210\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61962021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5324555970","display_name":null,"funder_award_id":"2019M662261","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W199398490","https://openalex.org/W1552256995","https://openalex.org/W1586949170","https://openalex.org/W1696716473","https://openalex.org/W1743861851","https://openalex.org/W1946137962","https://openalex.org/W1965222573","https://openalex.org/W1968157422","https://openalex.org/W1968885647","https://openalex.org/W1978562894","https://openalex.org/W1981018417","https://openalex.org/W1988200254","https://openalex.org/W2016663152","https://openalex.org/W2020647726","https://openalex.org/W2022422341","https://openalex.org/W2023134678","https://openalex.org/W2027293474","https://openalex.org/W2034943672","https://openalex.org/W2036813603","https://openalex.org/W2040072996","https://openalex.org/W2043159933","https://openalex.org/W2050204708","https://openalex.org/W2056481028","https://openalex.org/W2058818870","https://openalex.org/W2060108852","https://openalex.org/W2071894871","https://openalex.org/W2077892428","https://openalex.org/W2091797932","https://openalex.org/W2094779965","https://openalex.org/W2096502562","https://openalex.org/W2107745473","https://openalex.org/W2108891011","https://openalex.org/W2109410668","https://openalex.org/W2118084436","https://openalex.org/W2118461544","https://openalex.org/W2121301003","https://openalex.org/W2122495146","https://openalex.org/W2125178881","https://openalex.org/W2126823710","https://openalex.org/W2132652252","https://openalex.org/W2140334624","https://openalex.org/W2152005648","https://openalex.org/W2160793724","https://openalex.org/W2168029744","https://openalex.org/W2168860802","https://openalex.org/W2291954278","https://openalex.org/W2308736390","https://openalex.org/W2517145931","https://openalex.org/W2612165548","https://openalex.org/W2612905511","https://openalex.org/W2614914845","https://openalex.org/W2617090676","https://openalex.org/W2734830611","https://openalex.org/W2803942678","https://openalex.org/W2920797343","https://openalex.org/W2946111794","https://openalex.org/W3100098316","https://openalex.org/W3101749733","https://openalex.org/W4236508656","https://openalex.org/W4248870381","https://openalex.org/W4248927948","https://openalex.org/W6683361547","https://openalex.org/W6684556902"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W1558425494","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2057878850","https://openalex.org/W2169871401"],"abstract_inverted_index":{"With":[0],"the":[1,8,22,37,41,65,79,84,101,104,124,128,143,176,182],"recent":[2],"advances":[3],"in":[4,21],"data":[5,15],"acquisition":[6],"techniques,":[7],"compression":[9,39,126,183],"of":[10,40,68,103,127,164,178,184],"various":[11,169],"dynamic":[12,42,48,69],"mesh":[13,43,49,166,186],"sequence":[14],"has":[16],"become":[17],"an":[18,46,54,120],"important":[19],"topic":[20],"computer":[23],"graphics":[24],"community.":[25],"In":[26],"this":[27],"article,":[28],"we":[29,51,72,93,118],"present":[30],"a":[31,60,74,95,114],"new":[32],"spatio-temporal":[33],"segmentation-based":[34],"approach":[35,139,180],"for":[36,181],"adaptive":[38],"sequences.":[44],"Given":[45],"input":[47],"sequence,":[50],"first":[52],"compute":[53],"initial":[55],"temporal":[56,66,96,144,152],"cut":[57],"to":[58,82,112,133,149],"obtain":[59],"small":[61],"subsequence":[62,81],"by":[63],"detecting":[64],"boundary":[67],"behavior.":[70],"Then,":[71],"apply":[73,119],"two-stage":[75],"vertex":[76,109],"clustering":[77],"on":[78,100,123,161],"resulting":[80],"classify":[83],"vertices":[85],"into":[86],"groups":[87],"with":[88,168],"optimal":[89],"intra-affinities.":[90],"After":[91],"that,":[92],"design":[94],"segmentation":[97,147,170],"step":[98,122],"based":[99],"variations":[102],"principal":[105],"components":[106],"within":[107],"each":[108],"group":[110],"prior":[111],"performing":[113],"PCA-based":[115],"compression.":[116],"Furthermore,":[117],"extra":[121],"lossless":[125],"PCA":[129],"bases":[130],"and":[131,145,153],"coefficients":[132],"gain":[134],"more":[135],"storage":[136],"saving.":[137],"Our":[138,172],"can":[140],"adaptively":[141],"determine":[142],"spatial":[146,154],"boundaries":[148],"exploit":[150],"both":[151],"redundancies.":[155],"We":[156],"have":[157],"conducted":[158],"extensive":[159],"experiments":[160],"different":[162],"types":[163],"3D":[165,185],"animations":[167],"configurations.":[171],"comparative":[173],"studies":[174],"show":[175],"advantages":[177],"our":[179],"animations.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2020-07-23T00:00:00"}
