{"id":"https://openalex.org/W2963886762","doi":"https://doi.org/10.1117/12.2522789","title":"Automatic paper summary generation from visual and textual information","display_name":"Automatic paper summary generation from visual and textual information","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2963886762","doi":"https://doi.org/10.1117/12.2522789","mag":"2963886762"},"language":"en","primary_location":{"id":"doi:10.1117/12.2522789","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2522789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","raw_type":"proceedings-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/A5111794805","display_name":"Shintaro Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shintaro Yamamoto","raw_affiliation_strings":["Waseda Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Waseda Univ. (Japan)","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069581739","display_name":"Yoshihiro Fukuhara","orcid":"https://orcid.org/0000-0001-8892-5339"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihiro Fukuhara","raw_affiliation_strings":["Waseda Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Waseda Univ. (Japan)","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490361","display_name":"Ryota Suzuki","orcid":"https://orcid.org/0000-0003-2156-844X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryota Suzuki","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (Japan)"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (Japan)","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083427215","display_name":"Shigeo Morishima","orcid":"https://orcid.org/0000-0001-8859-6539"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeo Morishima","raw_affiliation_strings":["Waseda Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Waseda Univ. (Japan)","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011507481","display_name":"Hirokatsu Kataoka","orcid":"https://orcid.org/0000-0001-8844-165X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirokatsu Kataoka","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (Japan)"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (Japan)","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111794805"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55879246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9977999925613403,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"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":0.8500198125839233},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.697891891002655},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6668332815170288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6331697106361389},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5595845580101013},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5441417098045349},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4529702365398407},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4348345994949341},{"id":"https://openalex.org/keywords/boom","display_name":"Boom","score":0.42503973841667175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36177337169647217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34773069620132446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500198125839233},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.697891891002655},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6668332815170288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6331697106361389},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5595845580101013},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5441417098045349},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4529702365398407},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4348345994949341},{"id":"https://openalex.org/C141441539","wikidata":"https://www.wikidata.org/wiki/Q1970908","display_name":"Boom","level":2,"score":0.42503973841667175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36177337169647217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34773069620132446},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2522789","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2522789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1504725289","https://openalex.org/W1974339500","https://openalex.org/W2570343428","https://openalex.org/W2912376836","https://openalex.org/W2949228953","https://openalex.org/W4236965008","https://openalex.org/W6674642055","https://openalex.org/W6683114511","https://openalex.org/W6683729985","https://openalex.org/W6734827234","https://openalex.org/W6750774204","https://openalex.org/W6751035407"],"related_works":["https://openalex.org/W3161710089","https://openalex.org/W2353620890","https://openalex.org/W2353579321","https://openalex.org/W3130795706","https://openalex.org/W3049366059","https://openalex.org/W2088384090","https://openalex.org/W3087499667","https://openalex.org/W2537816284","https://openalex.org/W2383202214","https://openalex.org/W2369795652"],"abstract_inverted_index":{"Due":[0],"to":[1,23,35,53,157],"the":[2,27,41,91,102,125,130,147],"recent":[3],"boom":[4],"in":[5,20],"artificial":[6],"intelligence":[7],"(AI)":[8],"research,":[9],"including":[10],"computer":[11],"vision":[12],"(CV),":[13],"it":[14],"has":[15],"become":[16],"impossible":[17],"for":[18,83,118,155],"researchers":[19,156],"these":[21],"fields":[22],"keep":[24],"up":[25],"with":[26,160],"exponentially":[28],"increasing":[29],"number":[30],"of":[31,69,87,94,96],"manuscripts.":[32,88],"In":[33],"response":[34],"this":[36,38],"situation,":[37],"paper":[39,42,58],"proposes":[40],"summary":[43,59],"generation":[44],"(PSG)":[45],"task":[46],"using":[47],"a":[48,84,152],"simple":[49,97],"but":[50],"effective":[51],"method":[52,149],"automatically":[54],"generate":[55],"an":[56],"academic":[57,162],"from":[60],"raw":[61],"PDF":[62],"data.":[63],"We":[64,89],"realized":[65],"PSG":[66],"by":[67,129],"combination":[68],"vision-based":[70,98],"supervised":[71],"components":[72,99],"detector":[73],"and":[74,101,113,135],"language-based":[75],"unsupervised":[76],"important":[77,161],"sentence":[78,114],"extractor,":[79],"which":[80],"is":[81,144],"applicable":[82],"trained":[85],"format":[86],"show":[90],"quantitative":[92],"evaluation":[93,104],"ability":[95],"extraction,":[100],"qualitative":[103],"that":[105,115,146],"our":[106,123],"system":[107],"can":[108],"extract":[109],"both":[110],"visual":[111],"item":[112],"are":[116,140],"helpful":[117],"understanding.":[119],"After":[120],"processing":[121],"via":[122],"PSG,":[124],"979":[126],"manuscripts":[127],"accepted":[128],"Conference":[131],"on":[132],"Computer":[133],"Vision":[134],"Pattern":[136],"Recognition":[137],"(CVPR)":[138],"2018":[139],"available1":[141],".":[142],"It":[143],"believed":[145],"proposed":[148],"will":[150],"provide":[151],"better":[153],"way":[154],"stay":[158],"caught":[159],"papers.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}