{"id":"https://openalex.org/W4321019100","doi":"https://doi.org/10.1142/s021812662350233x","title":"A Context-Aware Image Generation Method for Assisted Design of Movie Posters Using Generative Adversarial Network","display_name":"A Context-Aware Image Generation Method for Assisted Design of Movie Posters Using Generative Adversarial Network","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4321019100","doi":"https://doi.org/10.1142/s021812662350233x"},"language":"en","primary_location":{"id":"doi:10.1142/s021812662350233x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662350233x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"},"type":"article","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/A5047181377","display_name":"Yuan Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuan Lu","raw_affiliation_strings":["Zhengzhou Technical College, Zhengshang Road 081#, Zhengzhou 450001, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-4601-9888","affiliations":[{"raw_affiliation_string":"Zhengzhou Technical College, Zhengshang Road 081#, Zhengzhou 450001, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081256412","display_name":"Ruoxu Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoxu Hou","raw_affiliation_strings":["Zhengzhou Technical College, Zhengshang Road 081#, Zhengzhou 450001, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Technical College, Zhengshang Road 081#, Zhengzhou 450001, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101196775","display_name":"Jingya Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingya Zheng","raw_affiliation_strings":["Zhengzhou Technical College, Zhengshang Road 081#, Zhengzhou 450001, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Technical College, Zhengshang Road 081#, Zhengzhou 450001, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5047181377"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2323,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47991372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"32","issue":"13","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9916999936103821,"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":0.9853000044822693,"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/computer-science","display_name":"Computer science","score":0.8044153451919556},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6679013967514038},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6534731388092041},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.62247633934021},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5454086661338806},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5268380045890808},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5028135180473328},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49774983525276184},{"id":"https://openalex.org/keywords/publicity","display_name":"Publicity","score":0.48960620164871216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4697328507900238},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4696228802204132},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4480127990245819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4397139847278595},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.43083077669143677},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34139442443847656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2634022831916809},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07607772946357727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044153451919556},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6679013967514038},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6534731388092041},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.62247633934021},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5454086661338806},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5268380045890808},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5028135180473328},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49774983525276184},{"id":"https://openalex.org/C2776003135","wikidata":"https://www.wikidata.org/wiki/Q1333727","display_name":"Publicity","level":2,"score":0.48960620164871216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4697328507900238},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4696228802204132},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4480127990245819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4397139847278595},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.43083077669143677},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34139442443847656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2634022831916809},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07607772946357727},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021812662350233x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812662350233x","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W146900863","https://openalex.org/W1982918988","https://openalex.org/W2066364678","https://openalex.org/W2164938426","https://openalex.org/W2180616051","https://openalex.org/W2320119961","https://openalex.org/W2783268239","https://openalex.org/W2936436865","https://openalex.org/W3016819671","https://openalex.org/W3090874526","https://openalex.org/W3095147220","https://openalex.org/W3153500265","https://openalex.org/W3159162481","https://openalex.org/W4212876679","https://openalex.org/W4226278410","https://openalex.org/W4283215419","https://openalex.org/W4285505496","https://openalex.org/W4286542395","https://openalex.org/W4290715849","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W3005996785","https://openalex.org/W2914998939","https://openalex.org/W4288624664","https://openalex.org/W4328029048","https://openalex.org/W2952936466","https://openalex.org/W3208312582","https://openalex.org/W4226067002","https://openalex.org/W4306789193","https://openalex.org/W3083242033","https://openalex.org/W3003183197"],"abstract_inverted_index":{"Considering":[0],"the":[1,5,9,12,22,31,34,37,40,96,103,108,114,154,164,167,180,194],"continuous":[2],"development":[3],"of":[4,11,33,65,83,102,116,123,136,143,193],"film":[6],"industry":[7],"and":[8,42,67,99,107,148,189,191],"improvement":[10],"living":[13],"standard":[14],"among":[15],"people,":[16],"movies":[17],"have":[18],"gradually":[19],"come":[20],"to":[21,131,177],"civilians.":[23],"A":[24],"good":[25,45],"movie":[26,50,84,104,156],"poster":[27,51,157],"can":[28],"effectively":[29],"reflect":[30],"content":[32],"movie,":[35],"attract":[36],"audience,":[38],"stimulate":[39],"demand":[41],"achieve":[43],"a":[44,63,75,120,146,149],"publicity":[46],"effect.":[47],"The":[48,138],"current":[49],"design":[52,82,158],"work":[53],"is":[54,129,141,171],"mainly":[55],"carried":[56],"out":[57],"by":[58,159,183],"professional":[59],"designers,":[60],"which":[61],"requires":[62],"lot":[64],"time":[66],"labor":[68],"cost.":[69],"In":[70,163],"this":[71,184],"paper,":[72],"we":[73],"propose":[74],"context-aware":[76],"image":[77],"generation":[78],"method":[79,170],"for":[80,93,134],"assisted":[81],"posters":[85,181,196],"using":[86],"generative":[87,126],"adversarial":[88],"network":[89,122,128,140],"(named":[90],"as":[91],"MPAD-CIP":[92,169],"short).":[94],"First,":[95],"basic":[97],"information":[98],"visual":[100,161],"contents":[101],"are":[105,111,186,197],"perceived,":[106],"representative":[109],"images":[110,133],"extracted,":[112],"with":[113,173],"use":[115],"convolution":[117],"operations.":[118],"Then,":[119],"backbone":[121,139],"deep":[124],"convolutional":[125],"neural":[127],"formulated":[130],"generate":[132],"summary":[135],"movies.":[137],"composed":[142],"two":[144],"components:":[145],"generator":[147],"discriminator.":[150],"Their":[151],"combination":[152],"realizes":[153],"computer-assisted":[155],"sensing":[160],"context.":[162],"experimental":[165],"part,":[166],"proposed":[168],"compared":[172],"several":[174],"benchmark":[175],"models":[176],"demonstrate":[178],"that":[179],"generated":[182,195],"paper":[185],"more":[187],"realistic":[188],"versatile,":[190],"some":[192],"exhibited.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}