{"id":"https://openalex.org/W2166262046","doi":"https://doi.org/10.1109/cvpr.2008.4587703","title":"Simultaneous super-resolution and 3D video using graph-cuts","display_name":"Simultaneous super-resolution and 3D video using graph-cuts","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2166262046","doi":"https://doi.org/10.1109/cvpr.2008.4587703","mag":"2166262046"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5037346006","display_name":"Tony Tung","orcid":"https://orcid.org/0000-0002-0824-0960"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tony Tung","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031042114","display_name":"Shohei Nobuhara","orcid":"https://orcid.org/0000-0002-3204-8696"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shohei Nobuhara","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102940139","display_name":"Takashi Matsuyama","orcid":"https://orcid.org/0000-0003-0666-0512"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Matsuyama","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7816935777664185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7780171632766724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7748974561691284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7464358806610107},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.584796667098999},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5696102380752563},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5007467269897461},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.46004724502563477},{"id":"https://openalex.org/keywords/energy-minimization","display_name":"Energy minimization","score":0.44381511211395264},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.181625097990036},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.15281221270561218}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7816935777664185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7780171632766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7748974561691284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7464358806610107},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.584796667098999},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5696102380752563},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5007467269897461},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.46004724502563477},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.44381511211395264},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.181625097990036},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.15281221270561218},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.408.2301","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.2301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/363.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.593.153","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.kuee.kyoto-u.ac.jp/japanese/happyou/pdf/Tung_2008_IC_94.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.44999998807907104,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W70234347","https://openalex.org/W1589189156","https://openalex.org/W1633397821","https://openalex.org/W1781337833","https://openalex.org/W1911435474","https://openalex.org/W1981193779","https://openalex.org/W2006462689","https://openalex.org/W2032975642","https://openalex.org/W2042418341","https://openalex.org/W2067042811","https://openalex.org/W2067710092","https://openalex.org/W2099470017","https://openalex.org/W2101309634","https://openalex.org/W2107426090","https://openalex.org/W2111275008","https://openalex.org/W2113137767","https://openalex.org/W2113921614","https://openalex.org/W2115548755","https://openalex.org/W2117888987","https://openalex.org/W2119213281","https://openalex.org/W2122563626","https://openalex.org/W2130103520","https://openalex.org/W2131356252","https://openalex.org/W2137017911","https://openalex.org/W2140257560","https://openalex.org/W2140789035","https://openalex.org/W2143516773","https://openalex.org/W2146238954","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2155598194","https://openalex.org/W2155675678","https://openalex.org/W2160014001","https://openalex.org/W2166944470","https://openalex.org/W2171237169","https://openalex.org/W2583704680","https://openalex.org/W6602853498","https://openalex.org/W6635040776","https://openalex.org/W6637048030","https://openalex.org/W6638137768","https://openalex.org/W6679388247","https://openalex.org/W6679531056","https://openalex.org/W6680866351","https://openalex.org/W6685081529"],"related_works":["https://openalex.org/W2541791370","https://openalex.org/W2035976912","https://openalex.org/W3094187672","https://openalex.org/W2921707373","https://openalex.org/W2056731012","https://openalex.org/W1989199881","https://openalex.org/W2149623758","https://openalex.org/W2517246325","https://openalex.org/W2029274405","https://openalex.org/W2056978912"],"abstract_inverted_index":{"This":[0,23],"paper":[1],"presents":[2],"a":[3,13,47,109,142],"new":[4,14],"method":[5],"to":[6,17,50,98,145],"increase":[7],"the":[8,53,128,156,161],"quality":[9,57,70],"of":[10,60,160],"3D":[11,19,65,83,104,135,148,166],"video,":[12],"media":[15],"developed":[16],"represent":[18],"objects":[20],"in":[21],"motion.":[22],"representation":[24],"is":[25,120],"obtained":[26],"from":[27],"multi-view":[28,87],"reconstruction":[29,67,106],"techniques":[30,81],"that":[31],"require":[32],"images":[33,88],"recorded":[34],"simultaneously":[35],"by":[36],"several":[37],"video":[38,93,149,167],"cameras.":[39],"All":[40],"cameras":[41,61],"are":[42],"calibrated":[43],"and":[44,58,89,102,134,158],"placed":[45],"around":[46],"dedicated":[48],"studio":[49],"fully":[51],"surround":[52],"models.":[54],"The":[55,117],"limited":[56],"quantity":[59],"may":[62],"produce":[63,147],"inaccurate":[64],"model":[66,137],"with":[68,150],"low":[69],"texture.":[71],"To":[72],"overcome":[73],"this":[74],"issue,":[75],"first":[76],"we":[77,96,125,140],"propose":[78,97,141],"super-resolution":[79,101],"(SR)":[80],"for":[82,131],"video:":[84],"SR":[85,90],"on":[86,91,164],"single-view":[92],"frames.":[94],"Second,":[95],"combine":[99],"both":[100],"dynamic":[103],"shape":[105,136],"problems":[107],"into":[108],"unique":[110],"Markov":[111],"Random":[112],"Field":[113],"(MRF)":[114],"energy":[115],"formulation.":[116],"MRF":[118],"minimization":[119],"performed":[121],"using":[122],"graph-cuts.":[123],"Thus,":[124],"jointly":[126],"compute":[127],"optimal":[129],"solution":[130],"super-resolved":[132],"texture":[133],"reconstruction.":[138],"Moreover,":[139],"coarse-to-fine":[143],"strategy":[144],"iteratively":[146],"increasing":[151],"quality.":[152],"Our":[153],"experiments":[154],"show":[155],"accuracy":[157],"robustness":[159],"proposed":[162],"technique":[163],"challenging":[165],"sequences.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
