{"id":"https://openalex.org/W2970762577","doi":"https://doi.org/10.1109/icip.2019.8803818","title":"Training-Free Method for Generating Motion Video Clones From A Still Image Considering Self-Occlusion of Human Body","display_name":"Training-Free Method for Generating Motion Video Clones From A Still Image Considering Self-Occlusion of Human Body","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970762577","doi":"https://doi.org/10.1109/icip.2019.8803818","mag":"2970762577"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5024131451","display_name":"Teppei Tsutsumi","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teppei Tsutsumi","raw_affiliation_strings":["Osaka University, Suita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058191809","display_name":"Kazuaki Nakamura","orcid":"https://orcid.org/0000-0002-4859-4624"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuaki Nakamura","raw_affiliation_strings":["Osaka University, Suita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080768782","display_name":"Seiko Myojin","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiko Myojin","raw_affiliation_strings":["Osaka University, Suita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111886163","display_name":"Naoko Nitta","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoko Nitta","raw_affiliation_strings":["Osaka University, Suita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068454170","display_name":"Noboru Babaguchi","orcid":"https://orcid.org/0000-0003-3320-896X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Babaguchi","raw_affiliation_strings":["Osaka University, Suita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1017,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44173083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"509","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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-vision","display_name":"Computer vision","score":0.8325538635253906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8017458319664001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7402104735374451},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6406663656234741},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6154955625534058},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5775956511497498},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4463907778263092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19750961661338806}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8325538635253906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8017458319664001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402104735374451},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6406663656234741},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6154955625534058},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5775956511497498},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4463907778263092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19750961661338806},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1993962870","https://openalex.org/W1999582307","https://openalex.org/W2042919965","https://openalex.org/W2045459928","https://openalex.org/W2062400134","https://openalex.org/W2069074870","https://openalex.org/W2084185992","https://openalex.org/W2090961256","https://openalex.org/W2099471712","https://openalex.org/W2336236730","https://openalex.org/W2512545271","https://openalex.org/W2559085405","https://openalex.org/W2771558241","https://openalex.org/W2798714868","https://openalex.org/W2963092440","https://openalex.org/W2964002510","https://openalex.org/W2966784340","https://openalex.org/W2984529706","https://openalex.org/W4233266252","https://openalex.org/W4320013936","https://openalex.org/W6753926666","https://openalex.org/W6770076868"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"In":[0,254],"this":[1],"paper,":[2],"we":[3,27,128,145,169,204],"propose":[4],"a":[5,13,17,50,55,62,80,130,171,200],"method":[6,39,78,97,259],"for":[7,218],"generating":[8],"photo-realistic":[9],"video":[10,31,34,165],"in":[11,23,53,82,124],"which":[12,54,65,83],"person":[14,56,72,85,92],"virtually":[15],"performs":[16,58],"motion":[18,33,87,160],"that":[19,158],"is":[20,88,110,166,186],"not":[21,99],"performed":[22],"the":[24,67,84,91,118,121,125,138,142,151,159,163,176,182,190,193,206,228,232,235,248,251,257],"real":[25],"world.":[26],"refer":[28],"to":[29,112,188,210,227,243],"such":[30,136],"as":[32,47,137],"clones":[35],"(MVCs).":[36],"The":[37],"proposed":[38,258],"requires":[40],"only":[41],"two":[42],"kinds":[43],"of":[44,70,120,181,192,199,237,250],"source":[45],"information":[46],"input":[48],"data:":[49],"reference":[51,126,164],"video,":[52,127],"A":[57],"some":[59],"motion,":[60],"and":[61,141,154,178,234],"target":[63,152,194],"image,":[64],"includes":[66],"whole":[68],"body":[69,103,123,252],"another":[71],"B.":[73],"Using":[74],"these":[75],"data,":[76],"our":[77,96,255],"generates":[79],"MVC":[81],"A's":[86],"re-enacted":[89],"by":[90,162,213],"B's":[93],"body.":[94],"Since":[95],"does":[98],"need":[100],"3D":[101],"human":[102,122],"model":[104],"nor":[105],"any":[106],"training":[107],"phase,":[108],"it":[109,156],"suitable":[111],"MVC-based":[113],"entertainment":[114],"systems.":[115],"To":[116],"handle":[117],"self-occlusion":[119],"employ":[129],"part-based":[131],"approach.":[132],"For":[133],"each":[134,197,219,238],"part":[135],"right":[139],"arm":[140],"left":[143],"leg,":[144],"first":[146],"extract":[147],"its":[148],"skeleton":[149],"from":[150],"image":[153,195],"move":[155],"so":[157],"represented":[161],"reenacted.":[167],"Next,":[168],"compute":[170],"2D":[172],"affine":[173,208],"transform":[174,185],"between":[175,231],"original":[177],"moved":[179],"positions":[180],"skeleton.":[183],"This":[184,240],"used":[187],"map":[189],"texture":[191],"onto":[196],"frame":[198],"resultant":[201],"MVC.":[202],"Finally,":[203],"extend":[205],"part-wise":[207],"transforms":[209],"pixel-wise":[211],"ones":[212],"computing":[214],"their":[215],"linear":[216],"combination":[217,222],"pixel,":[220],"whose":[221],"weights":[223],"are":[224],"computed":[225],"according":[226],"geodesic":[229],"distance":[230],"pixel":[233],"center":[236],"part.":[239],"allows":[241],"us":[242],"avoid":[244],"unnatural":[245],"appearance":[246],"around":[247],"joints":[249],"parts.":[253],"experiments,":[256],"generated":[260],"much":[261],"visually-natural":[262],"MVCs":[263],"than":[264],"existing":[265],"methods.":[266]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
