{"id":"https://openalex.org/W7157253705","doi":"https://doi.org/10.48550/arxiv.2604.24762","title":"OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer","display_name":"OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7157253705","doi":"https://doi.org/10.48550/arxiv.2604.24762"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.24762","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24762","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.24762","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134777686","display_name":"Boyang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Boyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134770224","display_name":"Guangyi Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Guangyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134810128","display_name":"Jiahui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiahui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tang, Zhipeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Zhipeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5067219074","display_name":"Zezhou Cheng","orcid":"https://orcid.org/0000-0001-7754-0871"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Zezhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.96670001745224,"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/T11439","display_name":"Video Analysis and Summarization","score":0.96670001745224,"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":0.016599999740719795,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/shot","display_name":"Shot (pellet)","score":0.6852999925613403},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4699999988079071},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4505999982357025},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.43540000915527344},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4323999881744385},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.39980000257492065},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.3506999909877777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858999729156494},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6852999925613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927000045776367},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.43540000915527344},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.366100013256073},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3384999930858612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3305000066757202},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2892000079154968}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.24762","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24762","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.24762","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24762","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Shot":[0],"Boundary":[1],"Detection":[2],"(SBD)":[3],"aims":[4],"to":[5,54],"automatically":[6,92],"identify":[7],"shot":[8,63,73],"changes":[9],"and":[10,38,44,68,100,113,123],"divide":[11],"a":[12,72,85,107],"video":[13,76],"into":[14],"coherent":[15],"shots.":[16],"While":[17],"SBD":[18,56],"was":[19],"widely":[20],"studied":[21],"in":[22],"the":[23,118,121],"literature,":[24],"existing":[25],"methods":[26],"often":[27],"produce":[28],"non-interpretable":[29],"boundaries":[30,99],"on":[31,40,117],"transitions,":[32],"miss":[33],"subtle":[34],"yet":[35],"harmful":[36],"discontinuities,":[37],"rely":[39],"noisy,":[41],"low-diversity":[42],"annotations":[43],"outdated":[45],"benchmarks.":[46],"To":[47,78],"alleviate":[48],"these":[49],"limitations,":[50],"we":[51,83],"propose":[52],"OmniShotCut":[53],"formulate":[55],"as":[57],"structured":[58],"relational":[59],"prediction,":[60],"jointly":[61],"estimating":[62],"ranges":[64],"with":[65,97],"intra-shot":[66],"relations":[67],"inter-shot":[69],"relations,":[70],"by":[71],"query-based":[74],"dense":[75],"Transformer.":[77],"avoid":[79],"imprecise":[80],"manual":[81],"labeling,":[82],"adopt":[84],"fully":[86],"synthetic":[87],"transition":[88,95],"synthesis":[89],"pipeline":[90],"that":[91],"reproduces":[93],"major":[94],"families":[96],"precise":[98],"parameterized":[101],"variants.":[102],"We":[103],"also":[104],"introduce":[105],"OmniShotCutBench,":[106],"modern":[108],"wide-domain":[109],"benchmark":[110],"enabling":[111],"holistic":[112],"diagnostic":[114],"evaluation.":[115],"Experiments":[116],"benchmarks":[119],"demonstrate":[120],"effectiveness":[122],"generality":[124],"of":[125],"our":[126],"method.":[127]},"counts_by_year":[],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2026-04-29T00:00:00"}
