{"id":"https://openalex.org/W7165759550","doi":"https://doi.org/10.48550/arxiv.2606.24636","title":"CineCap: Structured Reasoning with Spatio-Temporal Anchors for Cinematographic Video Captioning","display_name":"CineCap: Structured Reasoning with Spatio-Temporal Anchors for Cinematographic Video Captioning","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165759550","doi":"https://doi.org/10.48550/arxiv.2606.24636"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24636","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24636","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2606.24636","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139221682","display_name":"Xinyu Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139235502","display_name":"Yuhui Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Yuhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139267516","display_name":"Xiaokun Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xiaokun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139278651","display_name":"Wenyu Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Wenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139241585","display_name":"Meng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139282878","display_name":"Xin Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139222881","display_name":"Pengfei Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Pengfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080589649","display_name":"Xiaohan Xing","orcid":"https://orcid.org/0000-0002-9992-3387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing, Xiaohan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090126257","display_name":"Meng Max","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Max","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":0.9794999957084656,"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":0.9794999957084656,"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":0.004999999888241291,"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":0.0017000000225380063,"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/closed-captioning","display_name":"Closed captioning","score":0.9287999868392944},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5802000164985657},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5770000219345093},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5184999704360962},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46720001101493835},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41040000319480896},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.39980000257492065}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9287999868392944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721999883651733},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5802000164985657},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5770000219345093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.553600013256073},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4943000078201294},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.39980000257492065},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.364300012588501},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24636","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24636","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.24636","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24636","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Cinematographic":[0],"captioning":[1,56],"aims":[2],"to":[3],"describe":[4],"how":[5],"a":[6,58,100,157,181],"video":[7,33,38],"is":[8,29,68],"filmed":[9],"using":[10],"professional":[11,78,122],"film-language":[12],"concepts":[13,80],"such":[14],"as":[15],"camera":[16],"movement,":[17],"shot":[18],"size,":[19],"depth":[20],"of":[21,52,159,184],"field,":[22],"composition,":[23],"and":[24,35,85,94,109,115,129,148,177,194],"shooting":[25],"angle.":[26],"This":[27,66],"capability":[28],"important":[30],"for":[31,70,136,165,187],"fine-grained":[32],"understanding":[34],"controllable":[36],"movie-quality":[37],"generation,":[39],"yet":[40],"remains":[41],"underexplored":[42],"in":[43,125,199],"existing":[44],"multimodal":[45],"large":[46],"language":[47],"models.":[48],"Unlike":[49],"question-answering-based":[50],"evaluation":[51],"cinematic":[53],"understanding,":[54],"cinematographic":[55,64,79,123,188],"requires":[57],"unified":[59],"open-form":[60],"description":[61],"over":[62],"multiple":[63],"dimensions.":[65],"task":[67],"challenging":[69],"two":[71],"main":[72],"reasons:":[73],"the":[74,140,143,185],"model":[75,192],"must":[76,87],"infer":[77],"from":[81],"subtle":[82],"visual":[83,127],"evidence,":[84],"it":[86],"generate":[88],"captions":[89],"that":[90,102,171],"are":[91,196],"both":[92],"comprehensive":[93],"accurate.":[95],"Accordingly,":[96],"we":[97,153],"propose":[98],"CineCap,":[99],"framework":[101],"combines":[103],"structured":[104],"reasoning":[105,135],"with":[106,112],"spatio-temporal":[107],"anchors":[108],"reinforcement":[110],"learning":[111],"comprehensiveness,":[113],"accuracy,":[114],"gated":[116],"coverage":[117],"rewards.":[118],"The":[119,190],"former":[120],"grounds":[121],"descriptions":[124],"explicit":[126],"evidence":[128],"organizes":[130],"them":[131],"into":[132],"compact":[133],"atomic":[134],"supervised":[137],"fine-tuning,":[138],"while":[139],"latter":[141],"improves":[142],"balance":[144],"between":[145],"descriptive":[146],"completeness":[147],"factual":[149],"correctness.":[150],"In":[151],"addition,":[152],"construct":[154],"CineCap":[155,172],"Bench,":[156],"benchmark":[158,195],"472":[160],"manually":[161],"annotated":[162],"video-caption":[163],"pairs":[164],"systematic":[166],"evaluation.":[167],"Extensive":[168],"experiments":[169],"show":[170],"consistently":[173],"outperforms":[174],"strong":[175],"proprietary":[176],"open-source":[178],"baselines,":[179],"establishing":[180],"new":[182],"state":[183],"art":[186],"captioning.":[189],"code,":[191],"checkpoint,":[193],"publicly":[197],"available":[198],"https://github.com/Hectormxy/CineCap.git.":[200]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}