{"id":"https://openalex.org/W4285104223","doi":"https://doi.org/10.1145/3532213.3532306","title":"A GCN-Based Framework for Generating Trailers","display_name":"A GCN-Based Framework for Generating Trailers","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4285104223","doi":"https://doi.org/10.1145/3532213.3532306"},"language":"en","primary_location":{"id":"doi:10.1145/3532213.3532306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101179123","display_name":"Yilin Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Hu","raw_affiliation_strings":["Communication University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047161111","display_name":"Libiao Jin","orcid":"https://orcid.org/0000-0003-4530-2996"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libiao Jin","raw_affiliation_strings":["Communication University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027532584","display_name":"Xuekun Jiang","orcid":"https://orcid.org/0000-0001-6441-4366"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuekun Jiang","raw_affiliation_strings":["Communication University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"610","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9850000143051147,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9836000204086304,"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":0.7886103391647339},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7832033634185791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7726551294326782},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7047514319419861},{"id":"https://openalex.org/keywords/film-industry","display_name":"Film industry","score":0.6135601997375488},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49142372608184814},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48892703652381897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4396421015262604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3740138113498688},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.32456815242767334},{"id":"https://openalex.org/keywords/movie-theater","display_name":"Movie theater","score":0.19889876246452332}],"concepts":[{"id":"https://openalex.org/C2779101595","wikidata":"https://www.wikidata.org/wiki/Q7832787","display_name":"Trailer","level":2,"score":0.7886103391647339},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7832033634185791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726551294326782},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7047514319419861},{"id":"https://openalex.org/C54040653","wikidata":"https://www.wikidata.org/wiki/Q1415395","display_name":"Film industry","level":3,"score":0.6135601997375488},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49142372608184814},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48892703652381897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4396421015262604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3740138113498688},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.32456815242767334},{"id":"https://openalex.org/C519580073","wikidata":"https://www.wikidata.org/wiki/Q41253","display_name":"Movie theater","level":2,"score":0.19889876246452332},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3532213.3532306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1814291772","https://openalex.org/W2036216970","https://openalex.org/W2077802163","https://openalex.org/W2097117768","https://openalex.org/W2121910516","https://openalex.org/W2149728204","https://openalex.org/W2194775991","https://openalex.org/W2242556758","https://openalex.org/W2325719052","https://openalex.org/W2766348671","https://openalex.org/W2781922022","https://openalex.org/W2801673049","https://openalex.org/W2884561390","https://openalex.org/W2902616437","https://openalex.org/W2963919999","https://openalex.org/W2964015378","https://openalex.org/W2986407524","https://openalex.org/W3097537783","https://openalex.org/W3141232563","https://openalex.org/W3163956913","https://openalex.org/W3174928076","https://openalex.org/W3187265389","https://openalex.org/W6674914833","https://openalex.org/W6742348326"],"related_works":["https://openalex.org/W2351187795","https://openalex.org/W2380641910","https://openalex.org/W2783335378","https://openalex.org/W4255510578","https://openalex.org/W1592626709","https://openalex.org/W2117314780","https://openalex.org/W2397188463","https://openalex.org/W2056180080","https://openalex.org/W2151646363","https://openalex.org/W2758091703"],"abstract_inverted_index":{"The":[0,177,225],"film-television":[1],"industry":[2],"continues":[3],"to":[4,37,63,88,133,186,230],"generate":[5,64],"a":[6,33,39,82,118,216],"large":[7],"amount":[8,17,46],"of":[9,18,41,47,81,102,137,170,206,238],"information":[10],"at":[11],"all":[12],"times,":[13],"and":[14,85,105,140,163],"the":[15,26,44,53,71,79,91,94,100,125,129,134,138,141,144,147,167,188,192,204,211,222,236],"massive":[16,45],"movie":[19,40,48,83,131,148],"data":[20,149],"has":[21,31,51,67],"promoted":[22],"an":[23],"increase":[24],"in":[25,55,128,235],"demand":[27,56],"for":[28,57,90,152,221],"trailers.":[29],"It":[30],"become":[32],"major":[34],"research":[35],"challenge":[36],"choose":[38],"interest":[42],"from":[43],"data.":[49],"This":[50],"driven":[52],"growth":[54],"trailer":[58,126,223,239],"production.":[59],"Using":[60],"computer":[61],"technology":[62],"trailers":[65],"automatically":[66],"two":[68],"benefits:":[69],"on":[70,93,203],"one":[72],"hand,":[73,96],"it":[74,97],"can":[75,98],"help":[76,106],"people":[77],"browse":[78],"content":[80],"quickly":[84],"decide":[86],"whether":[87],"pay":[89],"movie;":[92],"other":[95,231],"reduce":[99],"work":[101],"video":[103,232],"creators":[104],"them":[107],"attract":[108],"viewers":[109],"with":[110,210],"less":[111],"cost.":[112],"In":[113],"this":[114],"article,":[115],"we":[116],"construct":[117],"GCN-based":[119],"convolution":[120],"joint":[121],"framework,":[122],"which":[123],"selects":[124],"shots":[127,139,171,181,209],"full-length":[130],"according":[132],"visual":[135,168],"characteristics":[136],"relationship":[142,179],"between":[143,180],"shots.":[145],"Firstly,":[146],"is":[150,182,228],"preprocessed":[151],"its":[153],"division":[154],"into":[155],"sparse":[156],"shots,":[157],"followed":[158],"by":[159,184],"shot":[160,193],"boundary":[161],"detection":[162],"stratified":[164],"sampling.":[165],"Secondly,":[166],"features":[169,189,197],"are":[172,198,219],"learned":[173],"through":[174],"multi-layer":[175],"CNN.":[176],"topological":[178],"established":[183],"GCN":[185],"extract":[187],"that":[190],"include":[191],"relationship.":[194],"These":[195],"extracted":[196],"then":[199],"intelligently":[200],"fused":[201],"based":[202],"assignment":[205],"different":[207],"weights;":[208],"fusion":[212],"score":[213],"higher":[214],"than":[215],"certain":[217],"threshold":[218],"selected":[220],"generation.":[224,240],"proposed":[226],"framework":[227],"shown":[229],"summarization":[233],"methods":[234],"field":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}