{"id":"https://openalex.org/W7131665190","doi":"https://doi.org/10.48550/arxiv.2602.21829","title":"StoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles","display_name":"StoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7131665190","doi":"https://doi.org/10.48550/arxiv.2602.21829"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.21829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21829","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2602.21829","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126920704","display_name":"Daniel Oliveira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oliveira, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5089103785","display_name":"David Martins de Matos","orcid":"https://orcid.org/0000-0001-8631-2870"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Matos, David Martins","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9205999970436096,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9205999970436096,"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":0.04280000180006027,"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/T10028","display_name":"Topic Modeling","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/scripting-language","display_name":"Scripting language","score":0.7192000150680542},{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.6812000274658203},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6031000018119812},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4745999872684479},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4307999908924103},{"id":"https://openalex.org/keywords/subtitle","display_name":"Subtitle","score":0.4036000072956085},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3628999888896942},{"id":"https://openalex.org/keywords/soar","display_name":"Soar","score":0.3314000070095062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906000018119812},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7192000150680542},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.6812000274658203},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6240000128746033},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6031000018119812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845000147819519},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C2780364048","wikidata":"https://www.wikidata.org/wiki/Q204028","display_name":"Subtitle","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C17305859","wikidata":"https://www.wikidata.org/wiki/Q382944","display_name":"Soar","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.21829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21829","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2602.21829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21829","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Visual":[0],"storytelling":[1],"models":[2],"that":[3,70,108,135],"correctly":[4],"ground":[5],"entities":[6],"in":[7,95],"images":[8],"may":[9],"still":[10],"hallucinate":[11],"semantic":[12,136],"relationships,":[13],"generating":[14],"incorrect":[15],"dialogue":[16,45,50,140],"attribution,":[17],"character":[18,54,78],"interactions,":[19],"or":[20],"emotional":[21],"states.":[22],"We":[23,84],"introduce":[24],"StoryMovie,":[25],"a":[26],"dataset":[27],"of":[28],"1,757":[29],"stories":[30,69],"aligned":[31,65],"with":[32,46],"movie":[33],"scripts":[34,57],"and":[35,81,98],"subtitles":[36],"through":[37],"LCS":[38],"matching.":[39],"Our":[40],"alignment":[41,137],"pipeline":[42],"synchronizes":[43],"screenplay":[44],"subtitle":[47,120],"timestamps,":[48],"enabling":[49],"attribution":[51,141],"by":[52],"linking":[53],"names":[55],"from":[56,61],"to":[58,123],"temporal":[59],"positions":[60],"subtitles.":[62],"Using":[63],"this":[64,89],"content,":[66],"we":[67],"generate":[68],"maintain":[71],"visual":[72,96,143],"grounding":[73,97,144],"tags":[74],"while":[75],"incorporating":[76],"authentic":[77],"names,":[79],"dialogue,":[80],"relationship":[82],"dynamics.":[83],"fine-tune":[85],"Qwen":[86],"Storyteller3":[87,109,129],"on":[88,92,119],"dataset,":[90],"building":[91],"prior":[93],"work":[94],"entity":[99],"re-identification.":[100],"Evaluation":[101],"using":[102],"DeepSeek":[103],"V3":[104],"as":[105],"judge":[106],"shows":[107],"achieves":[110,130],"an":[111],"89.9%":[112],"win":[113],"rate":[114],"against":[115],"base":[116],"Qwen2.5-VL":[117],"7B":[118],"alignment.":[121],"Compared":[122],"Storyteller,":[124],"trained":[125],"without":[126],"script":[127],"grounding,":[128],"48.5%":[131],"versus":[132],"38.0%,":[133],"confirming":[134],"progressively":[138],"improves":[139],"beyond":[142],"alone.":[145]},"counts_by_year":[],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2026-02-27T00:00:00"}
