{"id":"https://openalex.org/W4416214882","doi":"https://doi.org/10.1109/tmm.2025.3632697","title":"MUVOD: A Novel Multi-View Video Object Segm entation Dataset and a Benchmark for 3D Segmentation","display_name":"MUVOD: A Novel Multi-View Video Object Segm entation Dataset and a Benchmark for 3D Segmentation","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W4416214882","doi":"https://doi.org/10.1109/tmm.2025.3632697"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3632697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3632697","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109750665","display_name":"Bangning Wei","orcid":"https://orcid.org/0000-0002-2308-9920"},"institutions":[{"id":"https://openalex.org/I4210143287","display_name":"Institut de Recherche Technologique B-com","ror":"https://ror.org/03cejhk28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210143287"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bangning Wei","raw_affiliation_strings":["Institute of Research and Technology b&lt;&gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","Institute of Research and Technology b&lt; &gt;com, Cesson-S&#x00E9;vign&#x00E9;, France"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology b&lt;&gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","institution_ids":["https://openalex.org/I4210143287"]},{"raw_affiliation_string":"Institute of Research and Technology b&lt; &gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","institution_ids":["https://openalex.org/I4210143287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104939511","display_name":"Joshua Maraval","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143287","display_name":"Institut de Recherche Technologique B-com","ror":"https://ror.org/03cejhk28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210143287"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joshua Maraval","raw_affiliation_strings":["Institute of Research and Technology b&lt;&gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","Institute of Research and Technology b&lt; &gt;com, Cesson-S&#x00E9;vign&#x00E9;, France"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology b&lt;&gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","institution_ids":["https://openalex.org/I4210143287"]},{"raw_affiliation_string":"Institute of Research and Technology b&lt; &gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","institution_ids":["https://openalex.org/I4210143287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041258744","display_name":"Meriem Outtas","orcid":"https://orcid.org/0000-0002-0918-1990"},"institutions":[{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Meriem Outtas","raw_affiliation_strings":["INSA Rennes, CNRS, IETR-UMR 6164, Univ Rennes, Rennes, France","Univ Rennes, INSA Rennes, CNRS, IETR - UMR 6164, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INSA Rennes, CNRS, IETR-UMR 6164, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]},{"raw_affiliation_string":"Univ Rennes, INSA Rennes, CNRS, IETR - UMR 6164, Rennes, France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029409871","display_name":"Kidiyo Kpalma","orcid":"https://orcid.org/0000-0001-8179-6415"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kidiyo Kpalma","raw_affiliation_strings":["INSA Rennes, CNRS, IETR-UMR 6164, Univ Rennes, Rennes, France","Univ Rennes, INSA Rennes, CNRS, IETR - UMR 6164, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INSA Rennes, CNRS, IETR-UMR 6164, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]},{"raw_affiliation_string":"Univ Rennes, INSA Rennes, CNRS, IETR - UMR 6164, Rennes, France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092705442","display_name":"Nicolas Ramin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143287","display_name":"Institut de Recherche Technologique B-com","ror":"https://ror.org/03cejhk28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210143287"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Ramin","raw_affiliation_strings":["Institute of Research and Technology b&lt;&gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","Institute of Research and Technology b&lt; &gt;com, Cesson-S&#x00E9;vign&#x00E9;, France"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology b&lt;&gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","institution_ids":["https://openalex.org/I4210143287"]},{"raw_affiliation_string":"Institute of Research and Technology b&lt; &gt;com, Cesson-S&#x00E9;vign&#x00E9;, France","institution_ids":["https://openalex.org/I4210143287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081898217","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0001-8949-9773"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["INSA Rennes, CNRS, IETR-UMR 6164, Univ Rennes, Rennes, France","Univ Rennes, INSA Rennes, CNRS, IETR - UMR 6164, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INSA Rennes, CNRS, IETR-UMR 6164, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]},{"raw_affiliation_string":"Univ Rennes, INSA Rennes, CNRS, IETR - UMR 6164, Rennes, France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109750665"],"corresponding_institution_ids":["https://openalex.org/I4210143287"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37004606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"726","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.3312000036239624,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.3312000036239624,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.22110000252723694,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.1835000067949295,"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/segmentation","display_name":"Segmentation","score":0.761900007724762},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6531000137329102},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5870000123977661},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.505299985408783},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4666999876499176},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4666999876499176},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.46480000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8550999760627747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.788100004196167},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.761900007724762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6879000067710876},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6531000137329102},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5870000123977661},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.505299985408783},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4666999876499176},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4666999876499176},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41940000653266907},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2025.3632697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3632697","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:HAL:hal-05395444v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05395444","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"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":"IEEE Transactions on Multimedia, 2025, pp.1-15. &#x27E8;10.1109/tmm.2025.3632697&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,91],"application":[1],"of":[2,23,37,49,60,106,112,120,126,150,161,181,193,232,246,257],"methods":[3],"based":[4],"on":[5],"Neural":[6],"Radiance":[7],"Fields":[8],"(NeRF)":[9],"and":[10,41,64,83,123,204,211],"3D":[11,24,38,225,259],"Gaussian":[12],"Splatting":[13],"(3D":[14],"GS)":[15],"have":[16],"steadily":[17],"gained":[18],"popularity":[19],"in":[20,27,34,87,143,152,214,249],"the":[21,45,58,153,171,191],"field":[22,55],"object":[25,47,85,149,226,260],"segmentation":[26,48,86,141,196,207,227,261],"static":[28],"scenes.":[29],"These":[30],"approaches":[31],"demonstrate":[32],"efficacy":[33],"a":[35,61,76,118,124,162,187,205,221,230,253],"range":[36],"scene":[39,116,154],"understanding":[40],"editing":[42],"tasks.":[43],"Nevertheless,":[44],"4D":[46,144],"dynamic":[50],"scenes":[51],"remains":[52],"an":[53,201],"underexplored":[54],"due":[56],"to":[57,170,209],"absence":[59],"sufficiently":[62],"extensive":[63],"accurately":[65],"labelled":[66],"multi-view":[67,78,194,234],"video":[68,79,195],"dataset.":[69,240],"In":[70],"this":[71,215],"paper,":[72],"we":[73,219],"present":[74,200],"MUVOD,":[75],"new":[77,222],"dataset":[80,266],"for":[81,190,224],"training":[82],"evaluating":[84],"reconstructed":[88],"real-world":[89],"scenarios.":[90],"17":[92],"selected":[93,236],"scenes,":[94],"describing":[95],"various":[96,110],"indoor":[97],"or":[98,165],"outdoor":[99],"activities,":[100],"are":[101],"collected":[102],"from":[103,109,237],"different":[104,167,247,250],"sources":[105],"datasets":[107],"originating":[108],"types":[111],"camera":[113,173],"rigs.":[114],"Each":[115],"contains":[117,178,243],"minimum":[119],"9":[121],"views":[122,168],"maximum":[125],"46":[127],"views.":[128],"We":[129,198],"provide":[130],"7830":[131],"RGB":[132],"images":[133,235],"(30":[134],"frames":[135,160],"per":[136],"video)":[137],"with":[138,229],"their":[139],"corresponding":[140],"mask":[142],"motion,":[145],"meaning":[146],"that":[147],"any":[148],"interest":[151],"could":[155],"be":[156],"tracked":[157],"across":[158,166],"temporal":[159],"given":[163],"view":[164],"belonging":[169],"same":[172],"rig.":[174],"This":[175,241],"dataset,":[176],"which":[177],"459":[179],"instances":[180],"73":[182],"categories,":[183],"is":[184,267],"intended":[185],"as":[186],"basic":[188],"benchmark":[189,223],"evaluation":[192,202],"methods.":[197,262],"also":[199],"metric":[203],"baseline":[206],"approach":[208],"encourage":[210],"evaluate":[212],"progress":[213],"evolving":[216],"field.":[217],"Additionally,":[218],"propose":[220],"task":[228],"subset":[231,242],"annotated":[233],"our":[238],"MUVOD":[239,265],"50":[244],"objects":[245],"conditions":[248],"scenarios,":[251],"providing":[252],"more":[254],"comprehensive":[255],"analysis":[256],"state-of-the-art":[258],"Our":[263],"proposed":[264],"available":[268],"at":[269],"<uri":[270],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[271],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://volumetric-repository.labs.b-com.com/#/muvod</uri>.":[272]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
