{"id":"https://openalex.org/W2611884298","doi":"https://doi.org/10.1109/tpami.2017.2700381","title":"Retrieval of Sentence Sequences for an Image Stream via Coherence Recurrent Convolutional Networks","display_name":"Retrieval of Sentence Sequences for an Image Stream via Coherence Recurrent Convolutional Networks","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2611884298","doi":"https://doi.org/10.1109/tpami.2017.2700381","mag":"2611884298","pmid":"https://pubmed.ncbi.nlm.nih.gov/28475047"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2700381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2700381","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5031099820","display_name":"Cesc Chunseong Park","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Cesc Chunseong Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110215207","display_name":"Youngjin Kim","orcid":"https://orcid.org/0009-0008-8367-5594"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjin Kim","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100664729","display_name":"Gunhee Kim","orcid":"https://orcid.org/0000-0002-9543-7453"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gunhee Kim","raw_affiliation_strings":["Department of Computer Science and Engineering, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031099820"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.5474,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89867833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"40","issue":"4","first_page":"945","last_page":"957"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9887999892234802,"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":0.8392658233642578},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.7958493828773499},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6805112957954407},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6687735915184021},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6345202922821045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6285637021064758},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5600451827049255},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5598500967025757},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.49532070755958557},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.483253538608551},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40359005331993103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3854636549949646},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24914437532424927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392658233642578},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.7958493828773499},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6805112957954407},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6687735915184021},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6345202922821045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6285637021064758},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5600451827049255},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5598500967025757},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.49532070755958557},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.483253538608551},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40359005331993103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3854636549949646},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24914437532424927},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2017.2700381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2700381","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28475047","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28475047","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:s-space.snu.ac.kr:10371/139232","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/139232","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6599846063","display_name":null,"funder_award_id":"2015R1C1A1A02036562","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W5598288","https://openalex.org/W68733909","https://openalex.org/W92662927","https://openalex.org/W1488163396","https://openalex.org/W1488461535","https://openalex.org/W1514535095","https://openalex.org/W1521626219","https://openalex.org/W1575833922","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1773149199","https://openalex.org/W1811254738","https://openalex.org/W1893116441","https://openalex.org/W1895577753","https://openalex.org/W1895989618","https://openalex.org/W1897761818","https://openalex.org/W1905882502","https://openalex.org/W1914581815","https://openalex.org/W1933349210","https://openalex.org/W1947481528","https://openalex.org/W1956340063","https://openalex.org/W1962480448","https://openalex.org/W1971129545","https://openalex.org/W1995820507","https://openalex.org/W1996768051","https://openalex.org/W2048343491","https://openalex.org/W2049705550","https://openalex.org/W2066134726","https://openalex.org/W2079735306","https://openalex.org/W2085660690","https://openalex.org/W2086842362","https://openalex.org/W2101105183","https://openalex.org/W2109586012","https://openalex.org/W2110933980","https://openalex.org/W2123301721","https://openalex.org/W2123442489","https://openalex.org/W2125436662","https://openalex.org/W2131744502","https://openalex.org/W2139501017","https://openalex.org/W2140676672","https://openalex.org/W2142900973","https://openalex.org/W2149557440","https://openalex.org/W2151498684","https://openalex.org/W2156830856","https://openalex.org/W2163605009","https://openalex.org/W2164587673","https://openalex.org/W2171361956","https://openalex.org/W2183386595","https://openalex.org/W2184188583","https://openalex.org/W2296385829","https://openalex.org/W2962706528","https://openalex.org/W2962835968","https://openalex.org/W2963082528","https://openalex.org/W2963735856","https://openalex.org/W3087871082","https://openalex.org/W4298392976","https://openalex.org/W6606244218","https://openalex.org/W6629169963","https://openalex.org/W6629203210","https://openalex.org/W6630875275","https://openalex.org/W6634232107","https://openalex.org/W6637373629","https://openalex.org/W6638742206","https://openalex.org/W6641059107","https://openalex.org/W6676497082","https://openalex.org/W6679775712","https://openalex.org/W6682086655","https://openalex.org/W6684191040","https://openalex.org/W6685230081","https://openalex.org/W6686207219","https://openalex.org/W6686286932","https://openalex.org/W6898505805","https://openalex.org/W6996569244"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W3088136942","https://openalex.org/W2949362007","https://openalex.org/W2775506363","https://openalex.org/W4290852288","https://openalex.org/W4388893791","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W3009270862"],"abstract_inverted_index":{"We":[0,151,176],"propose":[1,106],"an":[2,12,130],"approach":[3,136,180],"for":[4,11,38,101,165,187],"retrieving":[5,94],"a":[6,20,67,71,84,89,95,102,107],"sequence":[7,85,90,189],"of":[8,22,35,46,86,91,98,119,143,169],"natural":[9,53,73],"sentences":[10,100],"image":[13,36,49,69,184],"stream.":[14],"Since":[15],"general":[16],"users":[17],"often":[18],"take":[19,43],"series":[21],"pictures":[23],"on":[24],"their":[25],"experiences,":[26],"much":[27],"online":[28],"visual":[29],"information":[30],"exists":[31],"in":[32],"the":[33,47,64,166],"form":[34],"streams,":[37],"which":[39,117],"it":[40],"would":[41],"better":[42],"into":[44],"consideration":[45],"whole":[48],"stream":[50],"to":[51,83],"produce":[52],"language":[54],"descriptions.":[55],"While":[56],"almost":[57],"all":[58],"previous":[59],"studies":[60,197],"have":[61],"dealt":[62],"with":[63,160],"relation":[65],"between":[66],"single":[68,72],"and":[70,80,88,129,174,195],"sentence,":[74],"our":[75,179],"work":[76],"extends":[77],"both":[78,192],"input":[79],"output":[81],"dimension":[82],"images":[87,164],"sentences.":[92],"For":[93],"coherent":[96],"flow":[97],"multiple":[99],"photo":[103],"stream,":[104],"we":[105],"multimodal":[108],"neural":[109,121],"architecture":[110],"called":[111],"coherence":[112,133],"recurrent":[113],"convolutional":[114,120],"network":[115],"(CRCN),":[116],"consists":[118],"networks,":[122,128],"bidirectional":[123],"long":[124],"short-term":[125],"memory":[126],"(LSTM)":[127],"entity-based":[131],"local":[132],"model.":[134],"Our":[135],"directly":[137],"learns":[138],"from":[139],"vast":[140],"user-generated":[141],"resource":[142],"blog":[144,158],"posts":[145,159],"as":[146],"text-image":[147],"parallel":[148],"training":[149],"data.":[150],"collect":[152],"more":[153],"than":[154],"22":[155],"K":[156,162],"unique":[157],"170":[161],"associated":[163],"travel":[167],"topics":[168],"NYC,":[170],"Disneyland":[171],",":[172],"Australia,":[173],"Hawaii.":[175],"demonstrate":[177],"that":[178],"outperforms":[181],"other":[182],"state-of-the-art":[183],"captioning":[185],"methods":[186],"text":[188],"generation,":[190],"using":[191],"quantitative":[193],"measures":[194],"user":[196],"via":[198],"Amazon":[199],"Mechanical":[200],"Turk.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
