{"id":"https://openalex.org/W2028096261","doi":"https://doi.org/10.1109/icip.2010.5648911","title":"Video object inpainting using manifold-based action prediction","display_name":"Video object inpainting using manifold-based action prediction","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2028096261","doi":"https://doi.org/10.1109/icip.2010.5648911","mag":"2028096261"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5648911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5648911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036695273","display_name":"Chih-Hung Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Hung Ling","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059327078","display_name":"Yu-Ming Liang","orcid":"https://orcid.org/0009-0008-3038-6158"},"institutions":[{"id":"https://openalex.org/I152100410","display_name":"Aletheia University","ror":"https://ror.org/00ke8ye77","country_code":"TW","type":"education","lineage":["https://openalex.org/I152100410"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ming Liang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Aletheia University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Aletheia University, Taiwan","institution_ids":["https://openalex.org/I152100410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739157","display_name":"Yong\u2010Sheng Chen","orcid":"https://orcid.org/0000-0002-5581-850X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yong-Sheng Chen","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108538229","display_name":"Hong-Yuan Mark Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Yuan Mark Liao","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Taiwan","Institute of Information Science, Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"425","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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":0.9987999796867371,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9972000122070312,"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":0.9972000122070312,"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/inpainting","display_name":"Inpainting","score":0.7961369752883911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.72193443775177},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6974841356277466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6830083131790161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6643746495246887},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6640860438346863},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6441129446029663},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6435848474502563},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5544720888137817},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4969067871570587},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47600802779197693},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4696986675262451},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.44919419288635254},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41920533776283264},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26197415590286255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1867603063583374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1575431227684021},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.14015722274780273},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06919944286346436}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7961369752883911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72193443775177},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6974841356277466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6830083131790161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6643746495246887},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6640860438346863},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6441129446029663},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6435848474502563},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5544720888137817},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4969067871570587},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47600802779197693},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4696986675262451},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.44919419288635254},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41920533776283264},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26197415590286255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1867603063583374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1575431227684021},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.14015722274780273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06919944286346436},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2010.5648911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5648911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.6765","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.6765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.nthu.edu.tw/cwlin/pub/icip_object_inpainting_2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2047491370","https://openalex.org/W2057175746","https://openalex.org/W2070570670","https://openalex.org/W2117051062","https://openalex.org/W2129873449","https://openalex.org/W2131565286","https://openalex.org/W2147523783","https://openalex.org/W2155351433","https://openalex.org/W2161526136","https://openalex.org/W2164490837"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W2161831747","https://openalex.org/W1974126222"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,10,29,48],"novel":[4],"scheme":[5],"for":[6],"object":[7,52],"completion":[8],"in":[9],"video.":[11],"The":[12,96,109],"framework":[13],"includes":[14],"three":[15],"steps:":[16],"posture":[17,30],"synthesis,":[18],"graphical":[19,49],"model":[20,50,91],"construction,":[21],"and":[22],"action":[23,53,113],"prediction.":[24],"In":[25],"the":[26,37,66,71,87,102,106,121],"very":[27],"beginning,":[28],"synthesis":[31],"method":[32],"is":[33,116],"adopted":[34],"to":[35,46,64,92],"enrich":[36],"number":[38],"of":[39,51,105,111],"postures.":[40],"Then,":[41],"all":[42],"postures":[43,80],"are":[44,81],"used":[45],"build":[47],"which":[54],"can":[55,99,119],"provide":[56],"possible":[57,74],"motion":[58,67,126],"tendency.":[59],"We":[60],"define":[61],"two":[62,72,78],"constraints":[63],"confine":[65],"continuity":[68,104],"property.":[69],"With":[70],"constraints,":[73],"candidates":[75],"between":[76],"every":[77],"consecutive":[79],"significantly":[82],"reduced.":[83],"Finally,":[84],"we":[85],"apply":[86],"Markov":[88],"Random":[89],"Field":[90],"perform":[93],"global":[94],"matching.":[95],"proposed":[97],"approach":[98],"effectively":[100],"maintain":[101],"temporal":[103],"reconstructed":[107],"motion.":[108],"advantage":[110],"this":[112],"prediction":[114],"strategy":[115],"that":[117],"it":[118],"handle":[120],"cases":[122],"such":[123],"as":[124],"non-periodic":[125],"or":[127],"complete":[128],"occlusion.":[129]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
