{"id":"https://openalex.org/W1964922034","doi":"https://doi.org/10.1109/gcce.2013.6664863","title":"Evolution of camerawork in automatic comic generation using interactive genetic algorithm with feedbacks from the user model","display_name":"Evolution of camerawork in automatic comic generation using interactive genetic algorithm with feedbacks from the user model","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1964922034","doi":"https://doi.org/10.1109/gcce.2013.6664863","mag":"1964922034"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2013.6664863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2013.6664863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","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/A5037679859","display_name":"Kenta Tsuji","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Tsuji","raw_affiliation_strings":["Intelligent Computer Entertainment Laboratory, Ritsumeikan University, Kusatsu, Shiga, Japan","Intell. Comput. Entertainment Lab., Ritsumeikan Univ., Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computer Entertainment Laboratory, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Intell. Comput. Entertainment Lab., Ritsumeikan Univ., Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051359789","display_name":"Ruck Thawonmas","orcid":"https://orcid.org/0000-0001-9001-5828"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ruck Thawonmas","raw_affiliation_strings":["Intelligent Computer Entertainment Laboratory, Ritsumeikan University, Kusatsu, Shiga, Japan","Intell. Comput. Entertainment Lab., Ritsumeikan Univ., Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computer Entertainment Laboratory, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Intell. Comput. Entertainment Lab., Ritsumeikan Univ., Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"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":"379","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9962999820709229,"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":0.9962999820709229,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9865000247955322,"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"}},{"id":"https://openalex.org/T11197","display_name":"Digital Games and Media","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/comics","display_name":"Comics","score":0.8952183127403259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932423949241638},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.6878761649131775},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.6338138580322266},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5400394201278687},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.53589928150177},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5236061215400696},{"id":"https://openalex.org/keywords/user-interface-design","display_name":"User interface design","score":0.5201366543769836},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49730542302131653},{"id":"https://openalex.org/keywords/multi-user","display_name":"Multi-user","score":0.48798173666000366},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.47018682956695557},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4161217510700226},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.3921681344509125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.343722403049469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28612327575683594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2638431191444397},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07272592186927795}],"concepts":[{"id":"https://openalex.org/C529099274","wikidata":"https://www.wikidata.org/wiki/Q1004","display_name":"Comics","level":2,"score":0.8952183127403259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932423949241638},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.6878761649131775},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.6338138580322266},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5400394201278687},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.53589928150177},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5236061215400696},{"id":"https://openalex.org/C149229913","wikidata":"https://www.wikidata.org/wiki/Q135707","display_name":"User interface design","level":3,"score":0.5201366543769836},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49730542302131653},{"id":"https://openalex.org/C2778002699","wikidata":"https://www.wikidata.org/wiki/Q876057","display_name":"Multi-user","level":2,"score":0.48798173666000366},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.47018682956695557},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4161217510700226},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.3921681344509125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.343722403049469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28612327575683594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2638431191444397},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07272592186927795},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2013.6664863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2013.6664863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W174933619","https://openalex.org/W1595987151","https://openalex.org/W2057718827","https://openalex.org/W2090696186","https://openalex.org/W2271011322","https://openalex.org/W2953212259","https://openalex.org/W6635667986","https://openalex.org/W6693898320"],"related_works":["https://openalex.org/W3200149316","https://openalex.org/W4394789918","https://openalex.org/W2893969762","https://openalex.org/W4375935421","https://openalex.org/W3048212026","https://openalex.org/W2471180092","https://openalex.org/W4316810125","https://openalex.org/W145924344","https://openalex.org/W317925544","https://openalex.org/W1561907484"],"abstract_inverted_index":{"In":[0,79],"our":[1],"previous":[2],"systems":[3],"for":[4,67,99],"automatic":[5],"comic":[6,76],"generation,":[7],"camerawork":[8,65,98,110],"parameters":[9],"were":[10],"determined":[11,25,109],"by":[12],"using":[13],"an":[14,28],"interactive":[15],"genetic":[16],"algorithm":[17],"(IGA)":[18],"with":[19],"direct":[20,37],"user":[21,30,60,93,104,115,120],"feedbacks":[22,124],"or":[23],"was":[24],"manually":[26,62,95],"through":[27],"equipped":[29],"interface.":[31],"The":[32,55],"former":[33],"approach":[34,57],"periodically":[35],"needs":[36],"feedbacks,":[38],"on":[39,51,107],"multiple":[40],"comics":[41],"generated":[42],"during":[43],"evolution,":[44],"from":[45],"the":[46,52,53,59,64,88,92,97,103,108,114,119,131],"user,":[47],"imposing":[48],"a":[49,84],"burden":[50,133],"user.":[54],"latter":[56],"asks":[58],"to":[61,94,122],"perform":[63],"setting":[66],"every":[68],"frame,":[69,101],"which":[70],"lacks":[71],"diversity":[72],"because":[73],"only":[74],"one":[75],"is":[77],"produced.":[78],"this":[80],"work,":[81],"we":[82],"propose":[83],"method":[85],"that":[86],"combines":[87],"above":[89],"two:":[90],"ask":[91],"set":[96],"each":[100],"construct":[102],"model":[105],"based":[106],"parameters,":[111],"and":[112],"use":[113],"model,":[116],"instead":[117],"of":[118],"themselves,":[121],"give":[123],"in":[125],"IGA.":[126],"We":[127],"aim":[128],"at":[129],"reducing":[130],"user's":[132],"while":[134],"achieving":[135],"highly":[136],"satisfactory":[137],"resulting":[138],"comics.":[139]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}