{"id":"https://openalex.org/W2751567033","doi":"https://doi.org/10.1109/tmm.2017.2748458","title":"Data Driven 2-D-to-3-D Video Conversion for Soccer","display_name":"Data Driven 2-D-to-3-D Video Conversion for Soccer","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2751567033","doi":"https://doi.org/10.1109/tmm.2017.2748458","mag":"2751567033"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2748458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2748458","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/134843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022836087","display_name":"Kiana Calagari","orcid":"https://orcid.org/0000-0003-2550-4910"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kiana Calagari","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2550-4910","affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079162835","display_name":"Mohamed Elgharib","orcid":"https://orcid.org/0000-0001-8727-0895"},"institutions":[{"id":"https://openalex.org/I1301390666","display_name":"Qatar Airways (Qatar)","ror":"https://ror.org/01hx00y13","country_code":"QA","type":"company","lineage":["https://openalex.org/I1301390666"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Mohamed Elgharib","raw_affiliation_strings":["Qatar Computing Research Institute, HBKU, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute, HBKU, Doha, Qatar","institution_ids":["https://openalex.org/I1301390666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016434967","display_name":"Piotr Didyk","orcid":"https://orcid.org/0000-0003-0768-8939"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Piotr Didyk","raw_affiliation_strings":["Excellence Cluster for Multimodal Computing and Interaction, Saarland University, Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Excellence Cluster for Multimodal Computing and Interaction, Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061663041","display_name":"Alexandre Kaspar","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandre Kaspar","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018010391","display_name":"Wojciech Matusik","orcid":"https://orcid.org/0000-0003-0212-5643"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wojciech Matusik","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084024266","display_name":"Mohamed Hefeeda","orcid":"https://orcid.org/0000-0003-3261-4376"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Hefeeda","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4619,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73185545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"3","first_page":"605","last_page":"619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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":0.8629331588745117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253266334533691},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5783942341804504},{"id":"https://openalex.org/keywords/2d-to-3d-conversion","display_name":"2D to 3D conversion","score":0.5636826753616333},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.43534326553344727},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4170278012752533},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4106842875480652},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3541182577610016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8629331588745117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253266334533691},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5783942341804504},{"id":"https://openalex.org/C84824328","wikidata":"https://www.wikidata.org/wiki/Q4633097","display_name":"2D to 3D conversion","level":3,"score":0.5636826753616333},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.43534326553344727},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4170278012752533},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4106842875480652},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3541182577610016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tmm.2017.2748458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2748458","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/134843","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/134843","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"pmh:oai:escidoc.org:escidoc:2585391","is_oa":false,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0001-407B-D","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"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":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":{"id":"pmh:oai:dspace.mit.edu:1721.1/134843","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/134843","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5911349942","display_name":"CGV: Large: Collaborative Research: Analyzing Images Through Time","funder_award_id":"1111415","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W79749824","https://openalex.org/W586034241","https://openalex.org/W1566135517","https://openalex.org/W1836967730","https://openalex.org/W1867429401","https://openalex.org/W1966612617","https://openalex.org/W1969775778","https://openalex.org/W1970862222","https://openalex.org/W1978242925","https://openalex.org/W1979802857","https://openalex.org/W1983309378","https://openalex.org/W2014872288","https://openalex.org/W2024483680","https://openalex.org/W2025022344","https://openalex.org/W2035773017","https://openalex.org/W2042375900","https://openalex.org/W2060411187","https://openalex.org/W2062491335","https://openalex.org/W2070604790","https://openalex.org/W2074254947","https://openalex.org/W2076756823","https://openalex.org/W2081534675","https://openalex.org/W2085669808","https://openalex.org/W2086244770","https://openalex.org/W2090518410","https://openalex.org/W2131045343","https://openalex.org/W2133665775","https://openalex.org/W2150458026","https://openalex.org/W2151996626","https://openalex.org/W2158211626","https://openalex.org/W2158891103","https://openalex.org/W2171460366","https://openalex.org/W2613762307","https://openalex.org/W2949847866","https://openalex.org/W2997095758","https://openalex.org/W6603244412","https://openalex.org/W6617210626","https://openalex.org/W6639126518","https://openalex.org/W6645010235","https://openalex.org/W6683067110","https://openalex.org/W6737405093"],"related_works":["https://openalex.org/W2082709309","https://openalex.org/W1981739126","https://openalex.org/W2020857290","https://openalex.org/W2147475005","https://openalex.org/W2141806251","https://openalex.org/W1480652354","https://openalex.org/W2044147530","https://openalex.org/W2003340466","https://openalex.org/W36187127","https://openalex.org/W2058740528"],"abstract_inverted_index":{"A":[0],"wide":[1],"adoption":[2],"of":[3,11,39,80,131,181],"3-D":[4,13,184,193],"videos":[5,194,200],"is":[6,21,225],"hindered":[7],"by":[8,100,170,202,227],"the":[9,73,129,132,182,211,222,234],"lack":[10],"high-quality":[12,192],"content.":[14],"One":[15],"promising":[16],"solution":[17],"to":[18,57,118,127,218,232,240],"this":[19,98,111],"problem":[20,99],"through":[22],"data-driven":[23,64],"2-D-to-3-D":[24,67,153],"video":[25,68],"conversion.":[26,69],"Such":[27],"approaches":[28],"are":[29,54,87,196],"based":[30],"on":[31],"learning":[32],"depth":[33,74,134,159,176,224],"maps":[34],"from":[35,76,105,199,238],"a":[36,62,77,102,124],"large":[37,78],"dataset":[38],"2-D+Depth":[40,81,84],"images.":[41,82],"However,":[42],"current":[43,212],"conversion":[44,154],"methods,":[45],"while":[46],"general,":[47],"produce":[48],"low-quality":[49],"results":[50],"with":[51],"artifacts":[52],"that":[53,110,174,188,195],"not":[55],"acceptable":[56],"many":[58],"viewers.":[59],"We":[60,96,122,163,186],"propose":[61,123],"novel,":[63],"method":[65,71,126,150,166,190,208],"for":[66,92,152,161],"Our":[70],"transfers":[72],"gradients":[75],"database":[79,104,113],"Capturing":[83],"databases,":[85],"however,":[86],"complex":[88],"and":[89,108,138,167,178],"costly,":[90],"especially":[91],"outdoor":[93],"sports":[94],"games.":[95],"address":[97],"creating":[101],"synthetic":[103,112],"computer":[106],"games":[107],"showing":[109],"can":[114],"effectively":[115],"be":[116],"used":[117],"convert":[119],"real":[120],"videos.":[121,185],"spatio-temporal":[125],"ensure":[128],"smoothness":[130],"generated":[133],"within":[135],"individual":[136],"frames":[137],"across":[139],"successive":[140],"frames.":[141],"In":[142,205],"addition,":[143,206],"we":[144],"present":[145],"an":[146],"object":[147],"boundary":[148],"detection":[149],"customized":[151],"systems,":[155],"which":[156,230],"produces":[157,191],"clear":[158],"boundaries":[160],"players.":[162],"implement":[164],"our":[165,189,207,228],"validate":[168],"it":[169],"conducting":[171],"user":[172],"studies":[173],"evaluate":[175],"perception":[177],"visual":[179],"comfort":[180],"converted":[183],"show":[187],"almost":[197],"indistinguishable":[198],"shot":[201],"stereo":[203],"cameras.":[204],"significantly":[209],"outperforms":[210],"state-of-the-art":[213],"methods.":[214],"For":[215],"example,":[216],"up":[217],"20%":[219],"improvement":[220],"in":[221],"perceived":[223],"achieved":[226],"method,":[229],"translates":[231],"improving":[233],"mean":[235],"opinion":[236],"score":[237],"good":[239],"excellent.":[241]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}