{"id":"https://openalex.org/W7109102822","doi":"https://doi.org/10.48550/arxiv.2512.04426","title":"Self-Paced and Self-Corrective Masked Prediction for Movie Trailer Generation","display_name":"Self-Paced and Self-Corrective Masked Prediction for Movie Trailer Generation","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W7109102822","doi":"https://doi.org/10.48550/arxiv.2512.04426"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2512.04426","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.04426","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2512.04426","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhu, Sidan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhu, Sidan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Xu, Hongteng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Hongteng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Luo, Dixin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Dixin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":0.4950999915599823,"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":0.4950999915599823,"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":0.3264000117778778,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0364999994635582,"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/trailer","display_name":"Trailer","score":0.8416000008583069},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5594000220298767},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.550599992275238},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.45210000872612},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.43149998784065247},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.40860000252723694},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3817000091075897}],"concepts":[{"id":"https://openalex.org/C2779101595","wikidata":"https://www.wikidata.org/wiki/Q7832787","display_name":"Trailer","level":2,"score":0.8416000008583069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983999848365784},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.550599992275238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5178999900817871},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4431000053882599},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.40860000252723694},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3919000029563904},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3481999933719635},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2921999990940094},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2512.04426","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.04426","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2512.04426","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.04426","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":"article"},"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":{"As":[0],"a":[1,27,58,87,143,168],"challenging":[2],"video":[3],"editing":[4],"task,":[5],"movie":[6,13,93,144,196],"trailer":[7,23,74,101,114,197],"generation":[8,24,75,198],"involves":[9],"selecting":[10,32],"and":[11,35,45,61,80,98,136,158,183],"reorganizing":[12],"shots":[14,34],"to":[15,131,133,175,193],"create":[16],"engaging":[17],"trailers.":[18,52],"Currently,":[19],"most":[20],"existing":[21,194],"automatic":[22,73,195],"methods":[25],"employ":[26],"\"selection-then-ranking\"":[28],"paradigm":[29],"(i.e.,":[30],"first":[31],"key":[33],"then":[36],"ranking":[37],"them),":[38],"which":[39,68],"suffers":[40],"from":[41,117],"inevitable":[42],"error":[43],"propagation":[44],"limits":[46],"the":[47,50,92,128,134,146,149,160,164,187],"quality":[48],"of":[49,189],"generated":[51],"Beyond":[53],"this":[54],"paradigm,":[55],"we":[56],"propose":[57],"new":[59],"self-paced":[60],"self-corrective":[62],"masked":[63,110,120],"prediction":[64],"method":[65],"called":[66],"SSMP,":[67],"achieves":[69],"state-of-the-art":[70],"results":[71,182],"in":[72,191],"via":[76,109],"bi-directional":[77],"contextual":[78],"modeling":[79],"progressive":[81,169],"self-correction.":[82],"In":[83],"particular,":[84],"SSMP":[85,190],"trains":[86],"Transformer":[88],"encoder":[89],"that":[90,172],"takes":[91],"shot":[94,102,115,150],"sequences":[95,103],"as":[96],"prompts":[97],"generates":[99],"corresponding":[100],"accordingly.":[104],"The":[105,122],"model":[106,135,139,147],"is":[107,125,173,201],"trained":[108],"prediction,":[111,166],"reconstructing":[112],"each":[113,156],"sequence":[116],"its":[118],"randomly":[119],"counterpart.":[121],"mask":[123],"ratio":[124],"self-paced,":[126],"allowing":[127],"task":[129],"difficulty":[130],"adapt":[132],"thereby":[137],"improving":[138],"performance.":[140],"When":[141],"generating":[142],"trailer,":[145],"fills":[148],"positions":[151,162],"with":[152],"high":[153],"confidence":[154],"at":[155],"step":[157],"re-masks":[159],"remaining":[161],"for":[163],"next":[165],"forming":[167],"self-correction":[170],"mechanism":[171],"analogous":[174],"how":[176],"human":[177],"editors":[178],"work.":[179],"Both":[180],"quantitative":[181],"user":[184],"studies":[185],"demonstrate":[186],"superiority":[188],"comparison":[192],"methods.":[199],"Demo":[200],"available":[202],"at:":[203],"https://github.com/Dixin-Lab/SSMP.":[204]},"counts_by_year":[],"updated_date":"2025-12-06T23:14:57.273132","created_date":"2025-12-06T00:00:00"}